See also Transportation Mode, Travel Mode, Transport Mode Detection.

*Quek, C.*,
*Pasquier, M.*,
*Lim, B.L.B.*,

**POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and
Prediction**,

*ITS(7)*, No. 2, June 2006, pp. 133-146.

IEEE DOI
**0606**

BibRef

*Sun, S.L.[Shi-Liang]*,
*Zhang, C.S.[Chang-Shui]*,
*Yu, G.Q.[Guo-Qiang]*,

**A bayesian network approach to traffic flow forecasting**,

*ITS(7)*, No. 1, March 2006, pp. 124-132.

IEEE DOI
**0604**

BibRef

*Tan, M.C.*,
*Wong, S.C.*,
*Xu, M.C.*,
*Guan, Z.R.*,
*Zhang, P.*,

**An Aggregation Approach to Short-Term Traffic Flow Prediction**,

*ITS(10)*, No. 1, March 2009, pp. 60-69.

IEEE DOI
**0903**

BibRef

*Ghosh, B.*,
*Basu, B.*,
*O'Mahony, M.*,

**Multivariate Short-Term Traffic Flow Forecasting Using Time-Series
Analysis**,

*ITS(10)*, No. 2, June 2009, pp. 246-254.

IEEE DOI
**0906**

BibRef

*Tchrakian, T.T.*,
*Basu, B.*,
*O'Mahony, M.*,

**Real-Time Traffic Flow Forecasting Using Spectral Analysis**,

*ITS(13)*, No. 2, June 2012, pp. 519-526.

IEEE DOI
**1206**

BibRef

*Sun, S.*,
*Xu, X.*,

**Variational Inference for Infinite Mixtures of Gaussian Processes With
Applications to Traffic Flow Prediction**,

*ITS(12)*, No. 2, June 2011, pp. 466-475.

IEEE DOI
**1101**

BibRef

*Ramezani, A.*,
*Moshiri, B.*,
*Abdulhai, B.*,
*Kian, A.R.*,

**Distributed maximum likelihood estimation for flow and speed density
prediction in distributed traffic detectors with gaussian mixture model
assumption**,

*IET-ITS(6)*, No. 2, 2012, pp. 215-222.

DOI Link
**1206**

BibRef

*Chang, H.*,
*Lee, Y.*,
*Yoon, B.*,
*Baek, S.*,

**Dynamic near-term traffic flow prediction:
systemoriented approach based on past experiences**,

*IET-ITS(6)*, No. 2, 2012, pp. 292-305.

DOI Link
**1209**

BibRef

*Chan, K.Y.[Kit Yan]*,
*Dillon, T.S.*,
*Singh, J.*,
*Chang, E.*,

**Neural-Network-Based Models for Short-Term Traffic Flow Forecasting
Using a Hybrid Exponential Smoothing and Levenberg-Marquardt Algorithm**,

*ITS(13)*, No. 2, June 2012, pp. 644-654.

IEEE DOI
**1206**

BibRef

*Chen, C.*,
*Liu, Z.*,
*Lin, W.H.*,
*Li, S.*,
*Wang, K.*,

**Distributed Modeling in a MapReduce Framework for Data-Driven Traffic
Flow Forecasting**,

*ITS(14)*, No. 1, March 2013, pp. 22-33.

IEEE DOI
**1303**

BibRef

*Lippi, M.*,
*Bertini, M.*,
*Frasconi, P.*,

**Short-Term Traffic Flow Forecasting: An Experimental Comparison
of Time-Series Analysis and Supervised Learning**,

*ITS(14)*, No. 2, 2013, pp. 871-882.

IEEE DOI
**1307**

Graphical models; Time series analysis;
Intelligent transportation systems; traffic forecasting
BibRef

*Kong, Q.J.*,
*Xu, Y.*,
*Lin, S.*,
*Wen, D.*,
*Zhu, F.*,
*Liu, Y.C.[Yun-Cai]*,

**UTN-Model-Based Traffic Flow Prediction for Parallel-Transportation
Management Systems**,

*ITS(14)*, No. 3, 2013, pp. 1541-1547.

IEEE DOI
**1309**

CORSIM
BibRef

*Xu, Y.Y.[Yan-Yan]*,
*Kong, Q.J.[Qing-Jie]*,
*Klette, R.[Reinhard]*,
*Liu, Y.C.[Yun-Cai]*,

**Accurate and Interpretable Bayesian MARS for Traffic Flow Prediction**,

*ITS(15)*, No. 6, December 2014, pp. 2457-2469.

IEEE DOI
**1412**

Markov processes
BibRef

*Jeong, Y.S.*,
*Byon, Y.J.*,
*Castro-Neto, M.M.*,
*Easa, S.M.*,

**Supervised Weighting-Online Learning Algorithm for Short-Term Traffic
Flow Prediction**,

*ITS(14)*, No. 4, 2013, pp. 1700-1707.

IEEE DOI
**1312**

Artificial neural networks
BibRef

*Wang, Y.B.[Yu-Bin]*,
*van Schuppen, J.H.*,
*Vrancken, J.*,

**Prediction of Traffic Flow at the Boundary of a Motorway Network**,

*ITS(15)*, No. 1, February 2014, pp. 214-227.

IEEE DOI
**1403**

adaptive control
BibRef

*Asif, M.T.*,
*Dauwels, J.*,
*Goh, C.Y.*,
*Oran, A.*,
*Fathi, E.*,
*Xu, M.*,
*Dhanya, M.M.*,
*Mitrovic, N.*,
*Jaillet, P.*,

**Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction**,

*ITS(15)*, No. 2, April 2014, pp. 794-804.

IEEE DOI
**1404**

Accuracy
BibRef

*Bonnin, S.*,
*Weisswange, T.H.*,
*Kummert, F.*,
*Schmuedderich, J.*,

**General Behavior Prediction by a Combination of Scenario-Specific
Models**,

*ITS(15)*, No. 4, August 2014, pp. 1478-1488.

IEEE DOI
**1410**

behavioural sciences computing
BibRef

*Tahmasbi, R.*,
*Hashemi, S.M.*,

**Modeling and Forecasting the Urban Volume Using Stochastic
Differential Equations**,

*ITS(15)*, No. 1, February 2014, pp. 250-259.

IEEE DOI
**1403**

differential equations
BibRef

*Daraghmi, Y.*,
*Yi, C.*,
*Chiang, T.*,

**Negative Binomial Additive Models for Short-Term Traffic Flow
Forecasting in Urban Areas**,

*ITS(15)*, No. 2, April 2014, pp. 784-793.

IEEE DOI
**1404**

Additives
BibRef

*Lopes, S.B.[Simone Becker]*,
*Brondino, N.C.M.[Nair Cristina Margarido]*,
*Rodrigues da Silva, A.N.[Antônio Nélson]*,

**GIS-Based Analytical Tools for Transport Planning:
Spatial Regression Models for Transportation Demand Forecast**,

*IJGI(3)*, No. 2, 2014, pp. 565-583.

DOI Link
**1405**

BibRef

*Tselentis, D.I.*,
*Vlahogianni, E.I.*,
*Karlaftis, M.G.*,

**Improving short-term traffic forecasts:
To combine models or not to combine?**,

*IET-ITS(9)*, No. 2, 2015, pp. 193-201.

DOI Link
**1504**

autoregressive processes
BibRef

*Hou, Y.*,
*Edara, P.*,
*Sun, C.*,

**Traffic Flow Forecasting for Urban Work Zones**,

*ITS(16)*, No. 4, August 2015, pp. 1761-1770.

IEEE DOI
**1508**

Feedforward neural networks
BibRef

*Kehagias, D.*,
*Salamanis, A.*,
*Tzovaras, D.*,

**Speed pattern recognition technique for short-term traffic
forecasting based on traffic dynamics**,

*IET-ITS(9)*, No. 6, 2015, pp. 646-653.

DOI Link
**1509**

forecasting theory
BibRef

*Abadi, A.*,
*Rajabioun, T.*,
*Ioannou, P.A.*,

**Traffic Flow Prediction for Road Transportation Networks With Limited
Traffic Data**,

*ITS(16)*, No. 2, April 2015, pp. 653-662.

IEEE DOI
**1504**

Estimation
BibRef

*Lv, Y.S.[Yi-Sheng]*,
*Duan, Y.J.[Yan-Jie]*,
*Kang, W.W.[Wen-Wen]*,
*Li, Z.X.[Zheng-Xi]*,
*Wang, F.Y.[Fei-Yue]*,

**Traffic Flow Prediction With Big Data: A Deep Learning Approach**,

*ITS(16)*, No. 2, April 2015, pp. 865-873.

IEEE DOI
**1504**

Adaptation models
BibRef

*Du, W.B.[Wen-Bo]*,
*Chen, S.W.[Shen-Wen]*,
*Li, H.T.[Hai-Tao]*,
*Li, Z.S.[Zhi-Shuai]*,
*Cao, X.B.[Xian-Bin]*,
*Lv, Y.S.[Yi-Sheng]*,

**Airport Capacity Prediction With Multisource Features:
A Temporal Deep Learning Approach**,

*ITS(24)*, No. 1, January 2023, pp. 615-630.

IEEE DOI
**2301**

Airports, Feature extraction, Atmospheric modeling,
Predictive models, Prediction algorithms, Clustering algorithms, deep learning
BibRef

*Chen, Y.*,
*Lv, Y.*,
*Wang, X.*,
*Li, L.*,
*Wang, F.*,

**Detecting Traffic Information From Social Media Texts With Deep
Learning Approaches**,

*ITS(20)*, No. 8, August 2019, pp. 3049-3058.

IEEE DOI
**1908**

Data mining, Twitter, Feature extraction, Support vector machines,
Predictive models, Real-time systems, Deep learning,
text mining
BibRef

*Oh, S.D.[Se-Do]*,
*Kim, Y.J.[Young-Jin]*,
*Hong, J.S.[Ji-Sun]*,

**Urban Traffic Flow Prediction System Using a Multifactor Pattern
Recognition Model**,

*ITS(16)*, No. 5, October 2015, pp. 2744-2755.

IEEE DOI
**1511**

Gaussian processes
BibRef

*Dell'Acqua, P.*,
*Bellotti, F.*,
*Berta, R.*,
*de Gloria, A.*,

**Time-Aware Multivariate Nearest Neighbor Regression Methods for
Traffic Flow Prediction**,

*ITS(16)*, No. 6, December 2015, pp. 3393-3402.

IEEE DOI
**1512**

Artificial neural networks
BibRef

*Oh, S.*,
*Byon, Y.J.*,
*Yeo, H.*,

**Improvement of Search Strategy With K-Nearest Neighbors Approach for
Traffic State Prediction**,

*ITS(17)*, No. 4, April 2016, pp. 1146-1156.

IEEE DOI
**1604**

Acceleration
BibRef

*Fusco, G.*,
*Colombaroni, C.*,
*Isaenko, N.*,

**Comparative analysis of implicit models for real-time short-term
traffic predictions**,

*IET-ITS(10)*, No. 4, 2016, pp. 270-278.

DOI Link
**1606**

Bayes methods
BibRef

*Hou, Z.*,
*Li, X.*,

**Repeatability and Similarity of Freeway Traffic Flow and Long-Term
Prediction Under Big Data**,

*ITS(17)*, No. 6, June 2016, pp. 1786-1796.

IEEE DOI
**1606**

Analytical models
BibRef

*Zhao, J.*,
*Sun, S.*,

**High-Order Gaussian Process Dynamical Models for Traffic Flow
Prediction**,

*ITS(17)*, No. 7, July 2016, pp. 2014-2019.

IEEE DOI
**1608**

Gaussian processes
BibRef

*Tan, H.*,
*Wu, Y.*,
*Shen, B.*,
*Jin, P.J.*,
*Ran, B.*,

**Short-Term Traffic Prediction Based on Dynamic Tensor Completion**,

*ITS(17)*, No. 8, August 2016, pp. 2123-2133.

IEEE DOI
**1608**

Data models
BibRef

*Zhang, W.*,
*Tang, J.*,
*Kristian, H.*,
*Zou, Y.*,
*Wang, Y.*,

**Hybrid short-term prediction of traffic volume at ferry terminal
based on data fusion**,

*IET-ITS(10)*, No. 8, 2016, pp. 524-534.

DOI Link
**1610**

data handling
BibRef

*Abbasi, O.R.[Omid Reza]*,
*Alesheikh, A.A.[Ali Asghar]*,
*Sharif, M.[Mohammad]*,

**Ranking the City: The Role of Location-Based Social Media Check-Ins
in Collective Human Mobility Prediction**,

*IJGI(6)*, No. 5, 2017, pp. xx-yy.

DOI Link
**1706**

BibRef

*Tang, J.*,
*Liu, F.*,
*Zou, Y.*,
*Zhang, W.*,
*Wang, Y.*,

**An Improved Fuzzy Neural Network for Traffic Speed Prediction
Considering Periodic Characteristic**,

*ITS(18)*, No. 9, September 2017, pp. 2340-2350.

IEEE DOI
**1709**

Gaussian processes, forecasting theory, fuzzy neural nets,
fuzzy reasoning,
Takagi-Sugeno type fuzzy rules,
BibRef

*Xiao, Z.*,
*Ponnambalam, L.*,
*Fu, X.*,
*Zhang, W.*,

**Maritime Traffic Probabilistic Forecasting Based on Vessels-Waterway
Patterns and Motion Behaviors**,

*ITS(18)*, No. 11, November 2017, pp. 3122-3134.

IEEE DOI
**1711**

Artificial intelligence, Data mining, Forecasting, Planning,
Prediction algorithms, Stability analysis, Transportation,
Data mining, knowledge discovery, knowledge engineering, marine, transportation
BibRef

*Zheng, L.[Liang]*,
*Zhu, C.[Chuang]*,
*Zhu, N.[Ning]*,
*He, T.[Tian]*,
*Dong, N.[Ni]*,
*Huang, H.[Helai]*,

**Feature selection-based approach for urban short-term travel speed
prediction**,

*IET-ITS(12)*, No. 6, August 2018, pp. 474-484.

DOI Link
**1807**

BibRef

*Zhang, Y.[Yaying]*,
*Huang, G.[Guan]*,

**traffic flow prediction model based on deep belief network and genetic
algorithm**,

*IET-ITS(12)*, No. 6, August 2018, pp. 533-541.

DOI Link
**1807**

BibRef

*Zhang, D.[Da]*,
*Kabuka, M.R.[Mansur R.]*,

**Combining weather condition data to predict traffic flow:
A GRU-based deep learning approach**,

*IET-ITS(12)*, No. 7, September 2018, pp. 578-585.

DOI Link
**1808**

BibRef

*Besse, P.C.*,
*Guillouet, B.*,
*Loubes, J.M.*,
*Royer, F.*,

**Destination Prediction by Trajectory Distribution-Based Model**,

*ITS(19)*, No. 8, August 2018, pp. 2470-2481.

IEEE DOI
**1808**

Trajectory, Public transportation, Predictive models, Roads,
Data models, Markov processes, Vehicles, Trajectory classification,
final destination prediction
BibRef

*Huang, W.*,
*Jia, W.*,
*Guo, J.*,
*Williams, B.M.*,
*Shi, G.*,
*Wei, Y.*,
*Cao, J.*,

**Real-Time Prediction of Seasonal Heteroscedasticity in Vehicular
Traffic Flow Series**,

*ITS(19)*, No. 10, October 2018, pp. 3170-3180.

IEEE DOI
**1810**

Predictive models, Adaptation models, Data models, Forecasting,
Analytical models, Real-time systems, Transportation,
adaptive Kalman filter
BibRef

*Maeda, T.N.[Takashi Nicholas]*,
*Mori, J.[Junichiro]*,
*Ochi, M.[Masanao]*,
*Sakimoto, T.[Tetsuo]*,
*Sakata, I.[Ichiro]*,

**Measurement of Opportunity Cost of Travel Time for Predicting Future
Residential Mobility Based on the Smart Card Data of Public
Transportation**,

*IJGI(7)*, No. 11, 2018, pp. xx-yy.

DOI Link
**1812**

BibRef

*Zhan, H.*,
*Gomes, G.*,
*Li, X.S.*,
*Madduri, K.*,
*Sim, A.*,
*Wu, K.*,

**Consensus Ensemble System for Traffic Flow Prediction**,

*ITS(19)*, No. 12, December 2018, pp. 3903-3914.

IEEE DOI
**1812**

Predictive models, Computational modeling, Forecasting,
Time series analysis, Data models,
traffic flow prediction
BibRef

*Xue, Z.L.[Ze-Long]*,
*Xue, Y.[Yang]*,

**Multi Long-Short Term Memory Models for Short Term Traffic Flow
Prediction**,

*IEICE(E101-D)*, No. 12, December 2018, pp. 3272-3275.

WWW Link.
**1812**

BibRef

*Sun, B.[Bin]*,
*Cheng, W.[Wei]*,
*Goswami, P.[Prashant]*,
*Bai, G.H.[Guo-Hua]*,

**Short-term traffic forecasting using self-adjusting k-nearest
neighbours**,

*IET-ITS(12)*, No. 1, February 2018, pp. 41-48.

DOI Link
**1801**

BibRef

*Ding, C.*,
*Duan, J.*,
*Zhang, Y.*,
*Wu, X.*,
*Yu, G.*,

**Using an ARIMA-GARCH Modeling Approach to Improve Subway Short-Term
Ridership Forecasting Accounting for Dynamic Volatility**,

*ITS(19)*, No. 4, April 2018, pp. 1054-1064.

IEEE DOI
**1804**

Analytical models, Forecasting, Mathematical model,
Predictive models, Public transportation, Reliability,
prediction interval
BibRef

*Cheng, S.[Shifen]*,
*Lu, F.[Feng]*,
*Peng, P.[Peng]*,
*Wu, S.[Sheng]*,

**A Spatiotemporal Multi-View-Based Learning Method for Short-Term
Traffic Forecasting**,

*IJGI(7)*, No. 6, 2018, pp. xx-yy.

DOI Link
**1806**

BibRef

*Wang, X.X.[Xiang-Xue]*,
*Xu, L.H.[Lun-Hui]*,

**Wavelet-based short-term forecasting with improved threshold
recognition for urban expressway traffic conditions**,

*IET-ITS(12)*, No. 6, August 2018, pp. 463-473.

DOI Link
**1807**

BibRef

*Zhou, T.[Teng]*,
*Jiang, D.Z.[Da-Zhi]*,
*Lin, Z.Z.[Zhi-Zhe]*,
*Han, G.Q.[Guo-Qiang]*,
*Xu, X.M.[Xue-Miao]*,
*Qin, J.[Jing]*,

**Hybrid dual Kalman filtering model for short-term traffic flow
forecasting**,

*IET-ITS(13)*, No. 6, June 2019, pp. 1023-1032.

DOI Link
**1906**

BibRef

*Cui, Z.H.[Zhi-Han]*,
*Huang, B.[Boyu]*,
*Dou, H.[Haowen]*,
*Tan, G.[Guanru]*,
*Zheng, S.Q.[Shi-Qiang]*,
*Zhou, T.[Teng]*,

**GSA-ELM: A hybrid learning model for short-term traffic flow
forecasting**,

*IET-ITS(16)*, No. 1, 2022, pp. 41-52.

DOI Link
**2112**

BibRef

*Cai, L.R.[Ling-Ru]*,
*Chen, Q.[Qian]*,
*Cai, W.H.[Wei-Hong]*,
*Xu, X.M.[Xue-Miao]*,
*Zhou, T.[Teng]*,
*Qin, J.[Jing]*,

**SVRGSA: a hybrid learning based model for short-term traffic flow
forecasting**,

*IET-ITS(13)*, No. 9, September 2019, pp. 1348-1355.

DOI Link
**1908**

BibRef

*Guo, S.N.[Sheng-Nan]*,
*Lin, Y.F.[You-Fang]*,
*Li, S.J.[Shi-Jie]*,
*Chen, Z.M.[Zhao-Ming]*,
*Wan, H.Y.[Huai-Yu]*,

**Deep Spatial-Temporal 3D Convolutional Neural Networks for Traffic
Data Forecasting**,

*ITS(20)*, No. 10, October 2019, pp. 3913-3926.

IEEE DOI
**1910**

Correlation, Forecasting, Data models,
Feature extraction, Predictive models, Solid modeling,
recalibration block
BibRef

*Zhao, Y.[Yiji]*,
*Lin, Y.F.[You-Fang]*,
*Wen, H.M.[Hao-Min]*,
*Wei, T.L.[Tong-Long]*,
*Jin, X.Y.[Xi-Yuan]*,
*Wan, H.Y.[Huai-Yu]*,

**Spatial-Temporal Position-Aware Graph Convolution Networks for
Traffic Flow Forecasting**,

*ITS(24)*, No. 8, August 2023, pp. 8650-8666.

IEEE DOI
**2308**

Correlation, Convolution, Forecasting, Predictive models,
Feature extraction, Roads, Data models, Traffic flow forecasting,
graph convolution networks
BibRef

*Song, Y.*,
*Wang, X.*,
*Wright, G.*,
*Thatcher, D.*,
*Wu, P.*,
*Felix, P.*,

**Traffic Volume Prediction With Segment-Based Regression Kriging and
its Implementation in Assessing the Impact of Heavy Vehicles**,

*ITS(20)*, No. 1, January 2019, pp. 232-243.

IEEE DOI
**1901**

Roads, Maintenance engineering, Predictive models, Australia,
Correlation, Estimation, Sociology, Geostatistics,
road maintenance
BibRef

*Chu, K.*,
*Saigal, R.*,
*Saitou, K.*,

**Real-Time Traffic Prediction and Probing Strategy for Lagrangian
Traffic Data**,

*ITS(20)*, No. 2, February 2019, pp. 497-506.

IEEE DOI
**1902**

Data models, Real-time systems, Predictive models,
Adaptation models, Computational modeling, Stochastic processes,
adaptive data collection
BibRef

*Chen, X.Q.M.[Xi-Qun Michael]*,
*Zhang, S.C.[Shuai-Chao]*,
*Li, L.[Li]*,

**Multi-model ensemble for short-term traffic flow prediction under
normal and abnormal conditions**,

*IET-ITS(13)*, No. 2, February 2019, pp. 260-268.

DOI Link
**1902**

BibRef

*Pamula, T.*,

**Impact of Data Loss for Prediction of Traffic Flow on an Urban Road
Using Neural Networks**,

*ITS(20)*, No. 3, March 2019, pp. 1000-1009.

IEEE DOI
**1903**

Roads, Neurons, Neural networks, Machine learning, Predictive models,
Data models, Adaptation models, Deep learning,
sensitivity to loss of data
BibRef

*Diao, Z.*,
*Zhang, D.*,
*Wang, X.*,
*Xie, K.*,
*He, S.*,
*Lu, X.*,
*Li, Y.*,

**A Hybrid Model for Short-Term Traffic Volume Prediction in Massive
Transportation Systems**,

*ITS(20)*, No. 3, March 2019, pp. 935-946.

IEEE DOI
**1903**

Predictive models, Forecasting, Transportation,
Autoregressive processes, Discrete wavelet transforms,
Gaussian process (GP)
BibRef

*Ghanim, M.S.[Mohammad S.]*,
*Abu-Lebdeh, G.[Ghassan]*,

**Projected state-wide traffic forecast parameters using artificial
neural networks**,

*IET-ITS(13)*, No. 4, April 2019, pp. 661-669.

DOI Link
**1903**

BibRef

*Chen, X.*,
*Zhang, S.*,
*Li, L.*,
*Li, L.*,

**Adaptive Rolling Smoothing With Heterogeneous Data for Traffic State
Estimation and Prediction**,

*ITS(20)*, No. 4, April 2019, pp. 1247-1258.

IEEE DOI
**1904**

State estimation, Smoothing methods, Time measurement,
Vehicle dynamics, Cameras, Microwave measurement,
urban expressway
BibRef

*Mackenzie, J.*,
*Roddick, J.F.*,
*Zito, R.*,

**An Evaluation of HTM and LSTM for Short-Term Arterial Traffic Flow
Prediction**,

*ITS(20)*, No. 5, May 2019, pp. 1847-1857.

IEEE DOI
**1905**

Roads, Neural networks, Prediction algorithms, Traffic control,
Predictive models, Timing, Arterial road networks,
traffic-flow prediction
BibRef

*Lin, Y.*,
*Dai, X.*,
*Li, L.*,
*Wang, F.*,

**Pattern Sensitive Prediction of Traffic Flow Based on Generative
Adversarial Framework**,

*ITS(20)*, No. 6, June 2019, pp. 2395-2400.

IEEE DOI
**1906**

Predictive models, Biological system modeling, Data models,
Automation, Machine learning, Industries, Traffic flow prediction,
generative adversarial network
BibRef

*Feng, X.*,
*Ling, X.*,
*Zheng, H.*,
*Chen, Z.*,
*Xu, Y.*,

**Adaptive Multi-Kernel SVM With Spatial-Temporal Correlation for
Short-Term Traffic Flow Prediction**,

*ITS(20)*, No. 6, June 2019, pp. 2001-2013.

IEEE DOI
**1906**

Kernel, Support vector machines, Predictive models, Correlation,
Prediction algorithms, Real-time systems, Forecasting,
spatial-temporal correlation
BibRef

*Ganapathy, J.[Jayanthi]*,
*Paramasivam, J.[Jothilakshmi]*,

**Prediction of traffic volume by mining traffic sequences using travel
time based PrefixSpan**,

*IET-ITS(13)*, No. 7, July 2019, pp. 1199-1210.

DOI Link
**1906**

BibRef

*Zhu, Z.*,
*Chen, X.*,
*Zhang, X.*,
*Zhang, L.*,

**Probabilistic Data Fusion for Short-Term Traffic Prediction With
Semiparametric Density Ratio Model**,

*ITS(20)*, No. 7, July 2019, pp. 2459-2469.

IEEE DOI
**1907**

Data integration, Predictive models, Probabilistic logic,
Data models, Time series analysis, Artificial neural networks,
probability distribution
BibRef

*Yang, D.[Di]*,
*Li, S.J.[Song-Jiang]*,
*Peng, Z.[Zhou]*,
*Wang, P.[Peng]*,
*Wang, J.H.[Jun-Hui]*,
*Yang, H.M.[Hua-Min]*,

**MF-CNN: Traffic Flow Prediction Using Convolutional Neural Network and
Multi-Features Fusion**,

*IEICE(E102-D)*, No. 8, August 2019, pp. 1526-1536.

WWW Link.
**1908**

BibRef

*Liu, Y.[Yu]*,
*Liu, Z.[Zhao]*,
*Li, X.G.[Xiu-Gang]*,
*Huang, W.[Wei]*,
*Wei, Y.[Yun]*,
*Cao, J.[Jinde]*,
*Guo, J.H.[Jian-Hua]*,

**Dynamic traffic demand uncertainty prediction using radio-frequency
identification data and link volume data**,

*IET-ITS(13)*, No. 8, August 2019, pp. 1309-1317.

DOI Link
**1908**

BibRef

*Duan, P.*,
*Mao, G.*,
*Liang, W.*,
*Zhang, D.*,

**A Unified Spatio-Temporal Model for Short-Term Traffic Flow
Prediction**,

*ITS(20)*, No. 9, September 2019, pp. 3212-3223.

IEEE DOI
**1909**

Roads, Predictive models, Correlation, Data models,
Computational modeling, Neural networks, Network topology,
unified
BibRef

*Zheng, Z.*,
*Yang, Y.*,
*Liu, J.*,
*Dai, H.*,
*Zhang, Y.*,

**Deep and Embedded Learning Approach for Traffic Flow Prediction in
Urban Informatics**,

*ITS(20)*, No. 10, October 2019, pp. 3927-3939.

IEEE DOI
**1910**

Meteorology, Predictive models, Urban areas, Deep learning, Sensors,
Roads, Informatics, Urban informatics, traffic flow prediction,
deep learning
BibRef

*Ma, D.F.[Dong-Fang]*,
*Sheng, B.[Bowen]*,
*Ma, X.L.[Xiao-Long]*,
*Jin, S.[Sheng]*,

**Fuzzy hybrid framework with dynamic weights for short-term traffic flow
prediction by mining spatio-temporal correlations**,

*IET-ITS(14)*, No. 2, February 2020, pp. 73-81.

DOI Link
**2002**

BibRef

*Chang, B.*,
*Chiou, J.*,

**Cloud Computing-Based Analyses to Predict Vehicle Driving Shockwave
for Active Safe Driving in Intelligent Transportation System**,

*ITS(21)*, No. 2, February 2020, pp. 852-866.

IEEE DOI
**2002**

Cloud computing, Microscopy, Real-time systems, Delays,
5G mobile communication, Roads, Sensors, VCC, MEC,
macroscopic and microscopic analyses
BibRef

*Gu, Y.*,
*Lu, W.*,
*Xu, X.*,
*Qin, L.*,
*Shao, Z.*,
*Zhang, H.*,

**An Improved Bayesian Combination Model for Short-Term Traffic
Prediction With Deep Learning**,

*ITS(21)*, No. 3, March 2020, pp. 1332-1342.

IEEE DOI
**2003**

Predictive models, Deep learning, Correlation, Neural networks,
Bayes methods, Data models, Roads, Urban road,
microwave data
BibRef

*Han, L.[Lei]*,
*Huang, Y.S.[Yi-Shao]*,

**Short-term traffic flow prediction of road network based on deep
learning**,

*IET-ITS(14)*, No. 6, June 2020, pp. 495-503.

DOI Link
**2005**

BibRef

*Zheng, C.P.[Chuan-Pan]*,
*Fan, X.L.[Xiao-Liang]*,
*Wen, C.L.[Cheng-Lu]*,
*Chen, L.B.[Long-Biao]*,
*Wang, C.[Cheng]*,
*Li, J.[Jonathan]*,

**DeepSTD: Mining Spatio-Temporal Disturbances of Multiple Context
Factors for Citywide Traffic Flow Prediction**,

*ITS(21)*, No. 9, September 2020, pp. 3744-3755.

IEEE DOI
**2008**

Neural networks, Meteorology, Predictive models, Deep learning,
Urban areas, Intelligent transportation systems,
intelligent transportation systems
BibRef

*Zhao, L.[Ling]*,
*Song, Y.J.[Yu-Jiao]*,
*Zhang, C.[Chao]*,
*Liu, Y.[Yu]*,
*Wang, P.[Pu]*,
*Lin, T.[Tao]*,
*Deng, M.[Min]*,
*Li, H.F.[Hai-Feng]*,

**T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction**,

*ITS(21)*, No. 9, September 2020, pp. 3848-3858.

IEEE DOI
**2008**

Predictive models, Forecasting, Roads, Data models, Task analysis,
Logic gates, Kalman filters, Traffic forecasting,
temporal dependence
BibRef

*Bai, J.D.[Jian-Dong]*,
*Zhu, J.W.[Jia-Wei]*,
*Song, Y.J.[Yu-Jiao]*,
*Zhao, L.[Ling]*,
*Hou, Z.X.[Zhi-Xiang]*,
*Du, R.H.[Rong-Hua]*,
*Li, H.F.[Hai-Feng]*,

**A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic
Forecasting**,

*IJGI(10)*, No. 7, 2021, pp. xx-yy.

DOI Link
**2108**

BibRef

*Zhu, J.W.[Jia-Wei]*,
*Han, X.[Xing]*,
*Deng, H.[Hanhan]*,
*Tao, C.[Chao]*,
*Zhao, L.[Ling]*,
*Wang, P.[Pu]*,
*Lin, T.[Tao]*,
*Li, H.F.[Hai-Feng]*,

**KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional
Network for Traffic Forecasting**,

*ITS(23)*, No. 9, September 2022, pp. 15055-15065.

IEEE DOI
**2209**

Roads, Forecasting, Predictive models, Data models, Semantics,
Correlation, Mathematical models, Traffic flow forecasting,
spatial-temporal graph convolutional networks
BibRef

*Sun, B.[Bo]*,
*Sun, T.[Tuo]*,
*Zhang, Y.J.[Yu-Jia]*,
*Jiao, P.P.[Peng-Peng]*,

**Urban traffic flow online prediction based on multi-component attention
mechanism**,

*IET-ITS(14)*, No. 10, October 2020, pp. 1249-1258.

DOI Link
**2009**

BibRef

*Xu, D.W.[Dong-Wei]*,
*Peng, P.[Peng]*,
*Wei, C.C.[Chen-Chen]*,
*He, D.F.[De-Feng]*,
*Xuan, Q.[Qi]*,

**Road traffic network state prediction based on a generative adversarial
network**,

*IET-ITS(14)*, No. 10, October 2020, pp. 1286-1294.

DOI Link
**2009**

BibRef

*Tong, X.H.[Xiao-Hua]*,
*Wang, R.J.[Run-Jie]*,
*Shi, W.Z.[Wen-Zhong]*,
*Li, Z.Y.[Zhi-Yuan]*,

**An Approach for Filter Divergence Suppression in a Sequential Data
Assimilation System and Its Application in Short-Term Traffic Flow
Forecasting**,

*IJGI(9)*, No. 6, 2020, pp. xx-yy.

DOI Link
**2006**

BibRef

*Cui, Z.*,
*Henrickson, K.*,
*Ke, R.*,
*Wang, Y.*,

**Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning
Framework for Network-Scale Traffic Learning and Forecasting**,

*ITS(21)*, No. 11, November 2020, pp. 4883-4894.

IEEE DOI
**2011**

Convolution, Forecasting, Predictive models, Roads, Machine learning,
Feature extraction, Artificial neural networks,
recurrent neural network
BibRef

*Li, Z.*,
*Zheng, Z.*,
*Washington, S.*,

**Short-Term Traffic Flow Forecasting: A Component-Wise Gradient
Boosting Approach With Hierarchical Reconciliation**,

*ITS(21)*, No. 12, December 2020, pp. 5060-5072.

IEEE DOI
**2012**

Forecasting, Boosting, Predictive models, Correlation, Australia,
Urban areas, Roads, Traffic volume forecasting, gradient boosting,
hierarchical reconciliation
BibRef

*Zhang, Y.*,
*Wang, S.*,
*Chen, B.*,
*Cao, J.*,
*Huang, Z.*,

**TrafficGAN: Network-Scale Deep Traffic Prediction With Generative
Adversarial Nets**,

*ITS(22)*, No. 1, January 2021, pp. 219-230.

IEEE DOI
**2012**

Roads, Predictive models, Correlation, Data models,
Deep learning, Forecasting, Traffic prediction,
deep learning
BibRef

*Wang, R.J.[Run-Jie]*,
*Shi, W.Z.[Wen-Zhong]*,
*Liu, X.[Xianglei]*,
*Li, Z.Y.[Zhi-Yuan]*,

**An Adaptive Cutoff Frequency Selection Approach for Fast Fourier
Transform Method and Its Application into Short-Term Traffic Flow
Forecasting**,

*IJGI(9)*, No. 12, 2020, pp. xx-yy.

DOI Link
**2012**

BibRef

*Guo, K.[Kan]*,
*Hu, Y.L.[Yong-Li]*,
*Qian, Z.[Zhen]*,
*Liu, H.[Hao]*,
*Zhang, K.[Ke]*,
*Sun, Y.F.[Yan-Feng]*,
*Gao, J.B.[Jun-Bin]*,
*Yin, B.C.[Bao-Cai]*,

**Optimized Graph Convolution Recurrent Neural Network for Traffic
Prediction**,

*ITS(22)*, No. 2, February 2021, pp. 1138-1149.

IEEE DOI
**2102**

Roads, Convolution, Recurrent neural networks, Training,
Graph convolution network, recurrent neural network, traffic prediction
BibRef

*Sun, Y.F.[Yan-Feng]*,
*Jiang, X.H.[Xiang-Heng]*,
*Hu, Y.L.[Yong-Li]*,
*Duan, F.Q.[Fu-Qing]*,
*Guo, K.[Kan]*,
*Wang, B.Y.[Bo-Yue]*,
*Gao, J.B.[Jun-Bin]*,
*Yin, B.C.[Bao-Cai]*,

**Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic
Prediction**,

*ITS(23)*, No. 12, December 2022, pp. 23680-23693.

IEEE DOI
**2212**

Roads, Convolution, Predictive models, Correlation, Data models,
Vehicle dynamics, Transportation, Graph convolution network,
intelligent transportation systems
BibRef

*Low, R.*,
*Cheah, L.*,
*You, L.*,

**Commercial Vehicle Activity Prediction With Imbalanced Class
Distribution Using a Hybrid Sampling and Gradient Boosting Approach**,

*ITS(22)*, No. 3, March 2021, pp. 1401-1410.

IEEE DOI
**2103**

Frequency modulation, Predictive models, Vehicles, Boosting,
Data models, Prediction algorithms, Feature extraction,
imbalanced dataset
BibRef

*Wang, Y.*,
*Yu, X.*,
*Zhang, S.*,
*Zheng, P.*,
*Guo, J.*,
*Zhang, L.*,
*Hu, S.*,
*Cheng, S.*,
*Wei, H.*,

**Freeway Traffic Control in Presence of Capacity Drop**,

*ITS(22)*, No. 3, March 2021, pp. 1497-1516.

IEEE DOI
**2103**

Traffic control, Optimal control, Data models, Analytical models,
Merging, Mathematical model, Feedback control,
macroscopic traffic flow modeling
BibRef

*Ma, D.F.[Dong-Fang]*,
*Song, X.[Xiang]*,
*Li, P.[Pu]*,

**Daily Traffic Flow Forecasting Through a Contextual Convolutional
Recurrent Neural Network Modeling Inter- and Intra-Day Traffic
Patterns**,

*ITS(22)*, No. 5, May 2021, pp. 2627-2636.

IEEE DOI
**2105**

Forecasting, Machine learning, Time series analysis, Data mining,
Predictive models, Recurrent neural networks, Context modeling,
long short-term memory
BibRef

*Jia, T.[Tao]*,
*Yan, P.G.[Peng-Gao]*,

**Predicting Citywide Road Traffic Flow Using Deep Spatiotemporal
Neural Networks**,

*ITS(22)*, No. 5, May 2021, pp. 3101-3111.

IEEE DOI
**2105**

BibRef

And:
Correction:
*ITS(22)*, No. 6, June 2021, pp. 3900-3900.

IEEE DOI
**2106**

Roads, Spatiotemporal phenomena, Predictive models,
Neural networks, Autoregressive processes, Image segmentation,
trajectory data
BibRef

*Lv, M.Q.[Ming-Qi]*,
*Hong, Z.X.[Zhao-Xiong]*,
*Chen, L.[Ling]*,
*Chen, T.M.[Tie-Ming]*,
*Zhu, T.T.[Tian-Tian]*,
*Ji, S.[Shouling]*,

**Temporal Multi-Graph Convolutional Network for Traffic Flow
Prediction**,

*ITS(22)*, No. 6, June 2021, pp. 3337-3348.

IEEE DOI
**2106**

Correlation, Roads, Semantics, Predictive models, Machine learning,
Convolution, Analytical models, Traffic flow prediction, graph fusion
BibRef

*Chen, L.[Ling]*,
*Shao, W.[Wei]*,
*Lv, M.Q.[Ming-Qi]*,
*Chen, W.Q.[Wei-Qi]*,
*Zhang, Y.D.[You-Dong]*,
*Yang, C.H.[Cheng-Hu]*,

**AARGNN: An Attentive Attributed Recurrent Graph Neural Network for
Traffic Flow Prediction Considering Multiple Dynamic Factors**,

*ITS(23)*, No. 10, October 2022, pp. 17201-17211.

IEEE DOI
**2210**

Correlation, Sensors, Data models, Roads, Predictive models,
Sensor phenomena and characterization, Semantics,
urban computing
BibRef

*Chen, C.[Chen]*,
*Liu, Z.Y.[Zi-Ye]*,
*Wan, S.H.[Shao-Hua]*,
*Luan, J.T.[Jin-Tai]*,
*Pei, Q.Q.[Qing-Qi]*,

**Traffic Flow Prediction Based on Deep Learning in Internet of
Vehicles**,

*ITS(22)*, No. 6, June 2021, pp. 3776-3789.

IEEE DOI
**2106**

Roads, Predictive models, Machine learning, Feature extraction,
Prediction algorithms, Computational modeling, Urban areas,
traffic compression
BibRef

*Bhanu, M.[Manish]*,
*Mendes-Moreira, J.[Joăo]*,
*Chandra, J.[Joydeep]*,

**Embedding Traffic Network Characteristics Using Tensor for Improved
Traffic Prediction**,

*ITS(22)*, No. 6, June 2021, pp. 3359-3371.

IEEE DOI
**2106**

Tensile stress, Urban areas, Matrix decomposition, Forecasting,
Public transportation, Predictive models, Traffic prediction,
reciprocity
BibRef

*Chen, M.[Meng]*,
*Zuo, Y.X.[Yi-Xuan]*,
*Jia, X.Y.[Xiao-Yi]*,
*Liu, Y.[Yang]*,
*Yu, X.H.[Xiao-Hui]*,
*Zheng, K.[Kai]*,

**CEM: A Convolutional Embedding Model for Predicting Next Locations**,

*ITS(22)*, No. 6, June 2021, pp. 3349-3358.

IEEE DOI
**2106**

Trajectory, Predictive models, Data models, Roads,
Recurrent neural networks, Context modeling, Convolution,
traffic trajectory data
BibRef

*Zhang, Z.[Zhao]*,
*Jiao, X.H.[Xiao-Hong]*,

**A deep network with analogous self-attention for short-term traffic
flow prediction**,

*IET-ITS(15)*, No. 7, 2021, pp. 902-915.

DOI Link
**2106**

BibRef

*Liu, J.[Jin]*,
*Wu, N.Q.[Nai-Qi]*,
*Qiao, Y.[Yan]*,
*Li, Z.W.[Zhi-Wu]*,

**A scientometric review of research on traffic forecasting in
transportation**,

*IET-ITS(15)*, No. 1, 2021, pp. 1-16.

DOI Link
**2106**

BibRef

*Tao, Y.Y.[Yan-Yun]*,
*Wang, X.[Xiang]*,
*Zheng, J.Y.[Jian-Ying]*,
*E, W.J.[Wen-Juan]*,
*Zhao, P.[Po]*,
*Meng, S.W.[Shi-Wei]*,

**Deep tree neural network for multiple-time-step prediction of
short-term speed and confidence estimation**,

*IET-ITS(15)*, No. 3, 2021, pp. 446-462.

DOI Link
**2106**

BibRef

*Tian, C.[Chenyu]*,
*Chan, W.K.(.[Wai Kin (Victor)]*,

**Spatial-temporal attention wavenet: A deep learning framework for
traffic prediction considering spatial-temporal dependencies**,

*IET-ITS(15)*, No. 4, 2021, pp. 549-561.

DOI Link
**2106**

BibRef

*Azad, A.[Abul]*,
*Wang, X.[Xin]*,

**Land Use Change Ontology and Traffic Prediction through Recurrent
Neural Networks: A Case Study in Calgary, Canada**,

*IJGI(10)*, No. 6, 2021, pp. xx-yy.

DOI Link
**2106**

BibRef

*Liu, M.H.[Meng-Hang]*,
*Li, L.N.[Lu-Ning]*,
*Li, Q.[Qiang]*,
*Bai, Y.[Yu]*,
*Hu, C.[Cheng]*,

**Pedestrian Flow Prediction in Open Public Places Using Graph
Convolutional Network**,

*IJGI(10)*, No. 7, 2021, pp. xx-yy.

DOI Link
**2108**

BibRef

*Ren, C.[Chang]*,
*Tang, L.[Luliang]*,
*Long, J.[Jed]*,
*Kan, Z.[Zihan]*,
*Yang, X.[Xue]*,

**Modelling Place Visit Probability Sequences during Trajectory Data
Gaps Based on Movement History**,

*IJGI(10)*, No. 7, 2021, pp. xx-yy.

DOI Link
**2108**

BibRef

*Shi, X.M.[Xiao-Ming]*,
*Qi, H.[Heng]*,
*Shen, Y.M.[Yan-Ming]*,
*Wu, G.[Genze]*,
*Yin, B.C.[Bao-Cai]*,

**A Spatial-Temporal Attention Approach for Traffic Prediction**,

*ITS(22)*, No. 8, August 2021, pp. 4909-4918.

IEEE DOI
**2108**

Correlation, Neural networks, Predictive models, Roads, Convolution,
Semantics, Time series analysis, Attention mechanism,
neural networks
BibRef

*Giammarino, V.[Vittorio]*,
*Baldi, S.[Simone]*,
*Frasca, P.[Paolo]*,
*Monache, M.L.D.[Maria Laura Delle]*,

**Traffic Flow on a Ring With a Single Autonomous Vehicle:
An Interconnected Stability Perspective**,

*ITS(22)*, No. 8, August 2021, pp. 4998-5008.

IEEE DOI
**2108**

Asymptotic stability, Autonomous vehicles, Stability criteria,
Numerical stability, Transfer functions, Structural rings, ring roadway
BibRef

*Tian, Z.[Zhongda]*,

**Approach for Short-Term Traffic Flow Prediction Based on Empirical
Mode Decomposition and Combination Model Fusion**,

*ITS(22)*, No. 9, September 2021, pp. 5566-5576.

IEEE DOI
**2109**

Predictive models, Roads, Training, Empirical mode decomposition,
Optimization, Prediction algorithms, Biological system modeling,
improved fruit fly optimization algorithm
BibRef

*Yi, H.[Hongsuk]*,
*Bui, K.H.N.[Khac-Hoai Nam]*,

**An Automated Hyperparameter Search-Based Deep Learning Model for
Highway Traffic Prediction**,

*ITS(22)*, No. 9, September 2021, pp. 5486-5495.

IEEE DOI
**2109**

Road transportation, Predictive models, Training, Tuning,
Optimization, Bayes methods, Deep learning, meta learning
BibRef

*Xiao, X.[Xiao]*,
*Jin, Z.[Zhiling]*,
*Hui, Y.L.[Yi-Long]*,
*Xu, Y.[Yueshen]*,
*Shao, W.[Wei]*,

**Hybrid Spatial-Temporal Graph Convolutional Networks for On-Street
Parking Availability Prediction**,

*RS(13)*, No. 16, 2021, pp. xx-yy.

DOI Link
**2109**

BibRef

*Chen, K.Q.[Kai-Qi]*,
*Deng, M.[Min]*,
*Shi, Y.[Yan]*,

**A Temporal Directed Graph Convolution Network for Traffic Forecasting
Using Taxi Trajectory Data**,

*IJGI(10)*, No. 9, 2021, pp. xx-yy.

DOI Link
**2109**

BibRef

*Das, A.[Arindam]*,
*Gangwar, M.K.[Manoj Kumar]*,
*Ghosh, D.[Devleena]*,
*Mandal, C.[Chittaranjan]*,
*Sengupta, A.[Anirban]*,
*Waris, M.M.[M. Mubashshir]*,

**Automatic Generation of Route Control Chart From Validated Signal
Interlocking Plan**,

*ITS(22)*, No. 10, October 2021, pp. 6516-6525.

IEEE DOI
**2110**

Rail transportation, Layout, Tools, Graphical user interfaces,
Safety, Control charts, Standards, Railway signalling,
validation and verification (V&V)
BibRef

*Yu, Y.D.[Ya-Dong]*,
*Zhang, Y.[Yong]*,
*Qian, S.[Sean]*,
*Wang, S.F.[Shao-Fan]*,
*Hu, Y.L.[Yong-Li]*,
*Yin, B.C.[Bao-Cai]*,

**A Low Rank Dynamic Mode Decomposition Model for Short-Term Traffic
Flow Prediction**,

*ITS(22)*, No. 10, October 2021, pp. 6547-6560.

IEEE DOI
**2110**

Predictive models, Detectors, Neural networks, Roads,
Time series analysis, Machine learning, Data models,
low rank representation
BibRef

*Wang, Z.M.[Zhu-Mei]*,
*Su, X.[Xing]*,
*Ding, Z.M.[Zhi-Ming]*,

**Long-Term Traffic Prediction Based on LSTM Encoder-Decoder
Architecture**,

*ITS(22)*, No. 10, October 2021, pp. 6561-6571.

IEEE DOI
**2110**

Predictive models, Forecasting, Deep learning, Calibration,
Market research, Neural networks, Prediction algorithms, attention
BibRef

*Guo, Z.G.[Zhen-Gang]*,
*Zhang, Y.F.[Ying-Feng]*,
*Lv, J.X.[Jing-Xiang]*,
*Liu, Y.[Yang]*,
*Liu, Y.[Ying]*,

**An Online Learning Collaborative Method for Traffic Forecasting and
Routing Optimization**,

*ITS(22)*, No. 10, October 2021, pp. 6634-6645.

IEEE DOI
**2110**

Roads, Real-time systems, Forecasting, Routing, Optimization,
Predictive models, Collaboration, Online learning,
cyber-physical systems
BibRef

*Cheng, S.[Shifen]*,
*Lu, F.[Feng]*,
*Peng, P.[Peng]*,

**Short-Term Traffic Forecasting by Mining the Non-Stationarity of
Spatiotemporal Patterns**,

*ITS(22)*, No. 10, October 2021, pp. 6365-6383.

IEEE DOI
**2110**

Roads, Predictive models, Spatiotemporal phenomena,
Adaptation models, Forecasting, Vehicle dynamics,
temporal non-stationarity
BibRef

*He, Z.X.[Zhi-Xiang]*,
*Chow, C.Y.[Chi-Yin]*,
*Zhang, J.D.[Jia-Dong]*,

**STNN: A Spatio-Temporal Neural Network for Traffic Predictions**,

*ITS(22)*, No. 12, December 2021, pp. 7642-7651.

IEEE DOI
**2112**

Roads, Predictive models, Time series analysis, Neural networks,
Data models, Computational modeling, Decoding, Traffic predictions,
attention model
BibRef

*Liu, L.B.[Ling-Bo]*,
*Zhen, J.J.[Jia-Jie]*,
*Li, G.B.[Guan-Bin]*,
*Zhan, G.[Geng]*,
*He, Z.C.[Zhao-Cheng]*,
*Du, B.[Bowen]*,
*Lin, L.[Liang]*,

**Dynamic Spatial-Temporal Representation Learning for Traffic Flow
Prediction**,

*ITS(22)*, No. 11, November 2021, pp. 7169-7183.

IEEE DOI
**2112**

Predictive models, Urban areas, Neural networks, Task analysis,
Feature extraction, Market research, attentional recurrent neural network
BibRef

*Liu, Y.[Yang]*,
*Wang, K.[Keze]*,
*Liu, L.B.[Ling-Bo]*,
*Lan, H.Y.[Hao-Yuan]*,
*Lin, L.[Liang]*,

**TCGL: Temporal Contrastive Graph for Self-Supervised Video
Representation Learning**,

*IP(31)*, 2022, pp. 1978-1993.

IEEE DOI
**2202**

*Code, Action Recognition*.

WWW Link. Task analysis, Representation learning,
Discrete cosine transforms, Legged locomotion,
spatial-temporal data analysis
BibRef

*Luo, X.Y.[Xiao-Yi]*,
*Peng, J.H.[Jia-Heng]*,
*Liang, J.[Jun]*,

**Directed hypergraph attention network for traffic forecasting**,

*IET-ITS(16)*, No. 1, 2022, pp. 85-98.

DOI Link
**2112**

BibRef

*Zhaowei, Q.[Qu]*,
*Haitao, L.[Li]*,
*Zhi-Hui, L.[Li]*,
*Tao, Z.[Zhong]*,

**Short-Term Traffic Flow Forecasting Method With M-B-LSTM Hybrid
Network**,

*ITS(23)*, No. 1, January 2022, pp. 225-235.

IEEE DOI
**2201**

Forecasting, Machine learning, Predictive models, Data models,
Uncertainty, Recurrent neural networks, Probability distribution,
data stochasticity
BibRef

*Liu, J.[Jin]*,
*Wu, N.Q.[Nai-Qi]*,
*Qiao, Y.[Yan]*,
*Li, Z.W.[Zhi-Wu]*,

**Short-Term Traffic Flow Forecasting Using Ensemble Approach Based on
Deep Belief Networks**,

*ITS(23)*, No. 1, January 2022, pp. 404-417.

IEEE DOI
**2201**

Forecasting, Predictive models, Object oriented modeling,
Machine learning, Neural networks, Transportation,
traffic flow forecasting
BibRef

*Liu, D.[Di]*,
*Baldi, S.[Simone]*,
*Yu, W.[Wenwu]*,
*Cao, J.[Jinde]*,
*Huang, W.[Wei]*,

**On Training Traffic Predictors via Broad Learning Structures: A
Benchmark Study**,

*SMCS(52)*, No. 2, February 2022, pp. 749-758.

IEEE DOI
**2201**

Training, Prediction algorithms, Zinc,
Testing, Real-time systems, Learning systems,
traffic flow prediction
BibRef

*Zhao, L.[Leina]*,
*Wen, X.Y.[Xin-Yu]*,
*Wang, Y.P.[Yan-Peng]*,
*Shao, Y.M.[Yi-Ming]*,

**A novel hybrid model of ARIMA-MCC and CKDE-GARCH for urban short-term
traffic flow prediction**,

*IET-ITS(16)*, No. 2, 2022, pp. 206-217.

DOI Link
**2201**

BibRef

*Ren, Y.J.[Ya-Jie]*,
*Zhao, D.[Dong]*,
*Luo, D.[Dan]*,
*Ma, H.D.[Hua-Dong]*,
*Duan, P.R.[Peng-Rui]*,

**Global-Local Temporal Convolutional Network for Traffic Flow
Prediction**,

*ITS(23)*, No. 2, February 2022, pp. 1578-1584.

IEEE DOI
**2202**

Convolution, Market research, Feature extraction,
Predictive models, Data models, Urban areas, Machine learning,
neural network
BibRef

*Li, Z.S.[Zhi-Shuai]*,
*Xiong, G.[Gang]*,
*Tian, Y.L.[Yong-Lin]*,
*Lv, Y.S.[Yi-Sheng]*,
*Chen, Y.Y.[Yuan-Yuan]*,
*Hui, P.[Pan]*,
*Su, X.[Xiang]*,

**A Multi-Stream Feature Fusion Approach for Traffic Prediction**,

*ITS(23)*, No. 2, February 2022, pp. 1456-1466.

IEEE DOI
**2202**

Feature extraction, Roads, Monitoring, Predictive models,
Convolution, Neural networks, Computational modeling,
data-driven adjacent matrix
BibRef

*Wu, S.F.[Shao-Fei]*,

**Spatiotemporal Dynamic Forecasting and Analysis of Regional Traffic
Flow in Urban Road Networks Using Deep Learning Convolutional Neural
Network**,

*ITS(23)*, No. 2, February 2022, pp. 1607-1615.

IEEE DOI
**2202**

Convolution, Roads, Forecasting, Predictive models,
Feature extraction, Convolutional neural networks,
BiLSTM
BibRef

*Guo, K.[Kan]*,
*Hu, Y.L.[Yong-Li]*,
*Qian, Z.[Zhen]*,
*Sun, Y.F.[Yan-Feng]*,
*Gao, J.B.[Jun-Bin]*,
*Yin, B.C.[Bao-Cai]*,

**Dynamic Graph Convolution Network for Traffic Forecasting Based on
Latent Network of Laplace Matrix Estimation**,

*ITS(23)*, No. 2, February 2022, pp. 1009-1018.

IEEE DOI
**2202**

Forecasting, Roads, Convolution, Feature extraction, Data models,
Artificial neural networks, Dynamic graph convolution network,
Laplace matrix latent network
BibRef

*Zhang, C.[Chi]*,
*Zhou, H.Y.[Hong-Yu]*,
*Qiu, Q.[Qiang]*,
*Jian, Z.C.[Zhi-Chun]*,
*Zhu, D.[Daoye]*,
*Cheng, C.Q.[Cheng-Qi]*,
*He, L.S.[Lie-Song]*,
*Liu, G.P.[Guo-Ping]*,
*Wen, X.[Xiang]*,
*Hu, R.[Runbo]*,

**Augmented Multi-Component Recurrent Graph Convolutional Network for
Traffic Flow Forecasting**,

*IJGI(11)*, No. 2, 2022, pp. xx-yy.

DOI Link
**2202**

BibRef

*Li, X.L.[Xiao-Long]*,
*Xia, J.[Jing]*,
*Chen, X.Y.[Xiao-Yong]*,
*Tan, Y.B.[Yong-Bin]*,
*Chen, J.[Jing]*,

**SIT: A Spatial Interaction-Aware Transformer-Based Model for Freeway
Trajectory Prediction**,

*IJGI(11)*, No. 2, 2022, pp. xx-yy.

DOI Link
**2202**

BibRef

*Wang, Y.[Yi]*,
*Jing, C.F.[Chang-Feng]*,

**Spatiotemporal Graph Convolutional Network for Multi-Scale Traffic
Forecasting**,

*IJGI(11)*, No. 2, 2022, pp. xx-yy.

DOI Link
**2202**

BibRef

*Shin, Y.[Yuyol]*,
*Yoon, Y.[Yoonjin]*,

**Incorporating Dynamicity of Transportation Network With Multi-Weight
Traffic Graph Convolutional Network for Traffic Forecasting**,

*ITS(23)*, No. 3, March 2022, pp. 2082-2092.

IEEE DOI
**2203**

Forecasting, Predictive models, Convolution, Roads, Data models,
Deep learning, Deep learning, graph convolutional network,
transportation network
BibRef

*Liu, J.L.[Jie-Lun]*,
*Ong, G.P.[Ghim Ping]*,
*Chen, X.[Xiqun]*,

**GraphSAGE-Based Traffic Speed Forecasting for Segment Network With
Sparse Data**,

*ITS(23)*, No. 3, March 2022, pp. 1755-1766.

IEEE DOI
**2203**

Forecasting, Roads, Correlation, Probes, Trajectory, Data models,
Predictive models, Urban road network, recovery of missing data,
deep learning
BibRef

*Huo, G.Y.[Guang-Yu]*,
*Zhang, Y.[Yong]*,
*Wang, B.Y.[Bo-Yue]*,
*Hu, Y.L.[Yong-Li]*,
*Yin, B.C.[Bao-Cai]*,

**Text-to-Traffic Generative Adversarial Network for Traffic Situation
Generation**,

*ITS(23)*, No. 3, March 2022, pp. 2623-2636.

IEEE DOI
**2203**

Social networking (online), Generative adversarial networks,
Data models, Semantics, Generators, Blogs, Predictive models,
condition generative adversarial network
BibRef

*Chen, Y.Y.[Yuan-Yuan]*,
*Chen, H.Y.[Hong-Yu]*,
*Ye, P.J.[Pei-Jun]*,
*Lv, Y.S.[Yi-Sheng]*,
*Wang, F.Y.[Fei-Yue]*,

**Acting as a Decision Maker: Traffic-Condition-Aware Ensemble Learning
for Traffic Flow Prediction**,

*ITS(23)*, No. 4, April 2022, pp. 3190-3200.

IEEE DOI
**2204**

Predictive models, Feature extraction, Training, Data models,
Spatiotemporal phenomena, Stacking, Convolution, deep learning
BibRef

*Lai, Y.X.[Yong-Xuan]*,
*Xu, Y.F.[Yi-Fan]*,
*Mai, D.[Duojian]*,
*Fan, Y.[Yi]*,
*Yang, F.[Fan]*,

**Optimized Large-Scale Road Sensing Through Crowdsourced Vehicles**,

*ITS(23)*, No. 4, April 2022, pp. 3878-3889.

IEEE DOI
**2204**

Sensors, Task analysis, Crowdsensing, Roads, Costs, Urban areas, Fans,
Vehicular crowdsensing, maximal weighted sensing paths,
least-interrupted urban sensing
BibRef

*Sun, Z.Y.[Zhao-Yun]*,
*Hu, Y.J.[Yuan-Jiao]*,
*Li, W.[Wei]*,
*Feng, S.W.[Shao-Wei]*,
*Pei, L.[Lili]*,

**Prediction model for short-term traffic flow based on a K-means-gated
recurrent unit combination**,

*IET-ITS(16)*, No. 5, 2022, pp. 675-690.

DOI Link
**2204**

BibRef

*Avedisov, S.S.[Sergei S.]*,
*Bansal, G.[Gaurav]*,
*Orosz, G.[Gábor]*,

**Impacts of Connected Automated Vehicles on Freeway Traffic Patterns
at Different Penetration Levels**,

*ITS(23)*, No. 5, May 2022, pp. 4305-4318.

IEEE DOI
**2205**

Vehicle-to-everything, Connected vehicles, Vehicle dynamics,
Automobiles, Numerical models, Aerodynamics,
traffic flow
BibRef

*Su, J.[Jie]*,
*Jin, Z.F.[Zhong-Fu]*,
*Ren, J.[Jie]*,
*Yang, J.[Jiandang]*,
*Liu, Y.[Yong]*,

**GDFormer: A Graph Diffusing Attention based approach for Traffic Flow
Prediction**,

*PRL(156)*, 2022, pp. 126-132.

Elsevier DOI
**2205**

Graph neural network, Diffusion process, Attention mechanism,
Traffic flow prediction
BibRef

*Paliwal, C.[Charul]*,
*Bhatt, U.[Uttkarsha]*,
*Biyani, P.[Pravesh]*,
*Rajawat, K.[Ketan]*,

**Traffic Estimation and Prediction via Online Variational Bayesian
Subspace Filtering**,

*ITS(23)*, No. 5, May 2022, pp. 4674-4684.

IEEE DOI
**2205**

Bayes methods, Estimation, Prediction algorithms, Tensors, Roads,
Probability density function, Predictive models,
robust matrix completion
BibRef

*Ma, C.X.[Chang-Xi]*,
*Dai, G.[Guowen]*,
*Zhou, J.[Jibiao]*,

**Short-Term Traffic Flow Prediction for Urban Road Sections Based on
Time Series Analysis and LSTM_BILSTM Method**,

*ITS(23)*, No. 6, June 2022, pp. 5615-5624.

IEEE DOI
**2206**

Time series analysis, Predictive models, Fractals, Data models,
Correlation, Biological neural networks, Training,
urban road section
BibRef

*Cheng, Z.[Zeyang]*,
*Lu, J.[Jian]*,
*Zhou, H.J.[Hua-Jian]*,
*Zhang, Y.[Yibin]*,
*Zhang, L.[Lin]*,

**Short-Term Traffic Flow Prediction: An Integrated Method of
Econometrics and Hybrid Deep Learning**,

*ITS(23)*, No. 6, June 2022, pp. 5231-5244.

IEEE DOI
**2206**

Predictive models, Hidden Markov models, Deep learning,
Neural networks, Reactive power, Time series analysis, spatiotemporal heatmap
BibRef

*Fang, M.Y.[Meng-Yuan]*,
*Tang, L.[Luliang]*,
*Yang, X.[Xue]*,
*Chen, Y.[Yang]*,
*Li, C.K.[Chao-Kui]*,
*Li, Q.Q.[Qing-Quan]*,

**FTPG: A Fine-Grained Traffic Prediction Method With Graph Attention
Network Using Big Trace Data**,

*ITS(23)*, No. 6, June 2022, pp. 5163-5175.

IEEE DOI
**2206**

Roads, Predictive models, Sensors, Estimation, Data models,
Urban areas, Real-time systems, Short-term traffic prediction, turn level
BibRef

*Yin, X.[Xueyan]*,
*Wu, G.[Genze]*,
*Wei, J.Z.[Jin-Ze]*,
*Shen, Y.M.[Yan-Ming]*,
*Qi, H.[Heng]*,
*Yin, B.C.[Bao-Cai]*,

**Deep Learning on Traffic Prediction: Methods, Analysis, and Future
Directions**,

*ITS(23)*, No. 6, June 2022, pp. 4927-4943.

IEEE DOI
**2206**

Deep learning, Correlation, Predictive models, Data models,
Convolution, Roads, Learning systems, Traffic prediction,
spatial-temporal dependency modeling
BibRef

*Manibardo, E.L.[Eric L.]*,
*Lańa, I.[Ibai]*,
*del Ser, J.[Javier]*,

**Deep Learning for Road Traffic Forecasting:
Does it Make a Difference?**,

*ITS(23)*, No. 7, July 2022, pp. 6164-6188.

IEEE DOI
**2207**

Forecasting, Deep learning, Predictive models, Roads, Data models,
Time series analysis, Task analysis, Machine learning,
spatio-temporal data mining
BibRef

*Ben Said, A.[Ahmed]*,
*Erradi, A.[Abdelkarim]*,

**Spatiotemporal Tensor Completion for Improved Urban Traffic
Imputation**,

*ITS(23)*, No. 7, July 2022, pp. 6836-6849.

IEEE DOI
**2207**

Tensors, Spatiotemporal phenomena, Sparse matrices, Meteorology,
Data models, Forecasting, Traffic tensor, tensor completion, CANDECOMP/PARAFAC
BibRef

*Li, D.[Duo]*,
*Lasenby, J.[Joan]*,

**Spatiotemporal Attention-Based Graph Convolution Network for
Segment-Level Traffic Prediction**,

*ITS(23)*, No. 7, July 2022, pp. 8337-8345.

IEEE DOI
**2207**

Roads, Feature extraction, Spatiotemporal phenomena, Deep learning,
Predictive models, Meteorology, Detectors, Traffic prediction,
attention mechanism
BibRef

*Zhang, S.[Shaokun]*,
*Guo, Y.[Yao]*,
*Zhao, P.[Peize]*,
*Zheng, C.P.[Chuan-Pan]*,
*Chen, X.Q.[Xiang-Qun]*,

**A Graph-Based Temporal Attention Framework for Multi-Sensor Traffic
Flow Forecasting**,

*ITS(23)*, No. 7, July 2022, pp. 7743-7758.

IEEE DOI
**2207**

Roads, Predictive models, Forecasting, Data models, Correlation,
Topology, Network topology, Traffic flow prediction,
road network distance
BibRef

*Yu, J.J.Q.[James J. Q.]*,
*Markos, C.[Christos]*,
*Zhang, S.Y.[Shi-Yao]*,

**Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs**,

*ITS(23)*, No. 7, July 2022, pp. 7359-7370.

IEEE DOI
**2207**

Correlation, Deep learning, Transportation, Forecasting, Data mining,
Predictive models, Training, Traffic speed prediction,
data mining
BibRef

*Abdelraouf, A.[Amr]*,
*Abdel-Aty, M.[Mohamed]*,
*Yuan, J.[Jinghui]*,

**Utilizing Attention-Based Multi-Encoder-Decoder Neural Networks for
Freeway Traffic Speed Prediction**,

*ITS(23)*, No. 8, August 2022, pp. 11960-11969.

IEEE DOI
**2208**

Predictive models, Feature extraction, Roads, Decoding,
Computational modeling, Traffic control, Data mining,
explainable neural networks
BibRef

*Furtlehner, C.[Cyril]*,
*Lasgouttes, J.M.[Jean-Marc]*,
*Attanasi, A.[Alessandro]*,
*Pezzulla, M.[Marco]*,
*Gentile, G.[Guido]*,

**Short-Term Forecasting of Urban Traffic Using Spatio-Temporal Markov
Field**,

*ITS(23)*, No. 8, August 2022, pp. 10858-10867.

IEEE DOI
**2208**

Data models, Predictive models, Belief propagation,
Markov processes, Indexes, Forecasting, Convergence,
machine learning
BibRef

*Shi, R.Y.[Rong-Ye]*,
*Mo, Z.B.[Zhao-Bin]*,
*Huang, K.[Kuang]*,
*Di, X.[Xuan]*,
*Du, Q.[Qiang]*,

**A Physics-Informed Deep Learning Paradigm for Traffic State and
Fundamental Diagram Estimation**,

*ITS(23)*, No. 8, August 2022, pp. 11688-11698.

IEEE DOI
**2208**

Mathematical model, Data models, Maximum likelihood estimation,
Physics, Deep learning, Urban areas, Predictive models,
physics-informed deep learning
BibRef

*Zhang, X.Y.[Xin-Yu]*,
*Zhang, Y.[Yong]*,
*Wei, X.[Xiulan]*,
*Hu, Y.L.[Yong-Li]*,
*Yin, B.C.[Bao-Cai]*,

**Traffic forecasting with missing data via low rank dynamic mode
decomposition of tensor**,

*IET-ITS(16)*, No. 9, 2022, pp. 1164-1176.

DOI Link
**2208**

BibRef

*Yan, H.[He]*,
*Qi, Y.[Yong]*,
*Ye, Q.L.[Qiao-Lin]*,
*Yu, D.J.[Dong-Jun]*,

**Robust Least Squares Twin Support Vector Regression With Adaptive FOA
and PSO for Short-Term Traffic Flow Prediction**,

*ITS(23)*, No. 9, September 2022, pp. 14542-14556.

IEEE DOI
**2209**

Predictive models, Data models, Support vector machines,
Computational modeling, Adaptation models, Optimization, Training,
short-term traffic flow prediction
BibRef

*Pavlyuk, D.[Dmitry]*,

**Robust and Responsive Learning of Spatiotemporal Urban Traffic Flow
Relationships**,

*ITS(23)*, No. 9, September 2022, pp. 14524-14541.

IEEE DOI
**2209**

Spatiotemporal phenomena, Forecasting, Predictive models, Roads,
Feature extraction, Heuristic algorithms, Time series analysis,
variable selection
BibRef

*Jin, J.C.[Jun-Chen]*,
*Rong, D.D.[Ding-Ding]*,
*Zhang, T.[Tong]*,
*Ji, Q.Y.[Qing-Yuan]*,
*Guo, H.F.[Hai-Feng]*,
*Lv, Y.S.[Yi-Sheng]*,
*Ma, X.L.[Xiao-Liang]*,
*Wang, F.Y.[Fei-Yue]*,

**A GAN-Based Short-Term Link Traffic Prediction Approach for Urban
Road Networks Under a Parallel Learning Framework**,

*ITS(23)*, No. 9, September 2022, pp. 16185-16196.

IEEE DOI
**2209**

Roads, Predictive models, Data models, Recurrent neural networks,
Generators, Deep learning, Wasserstein generative adversarial network
BibRef

*Yu, J.J.Q.[James J. Q.]*,

**Graph Construction for Traffic Prediction: A Data-Driven Approach**,

*ITS(23)*, No. 9, September 2022, pp. 15015-15027.

IEEE DOI
**2209**

Correlation, Training, Convolution, Laplace equations, Deep learning,
Predictive models, Transportation, Traffic graph construction,
data mining
BibRef

*Ge, L.F.[Liang-Fu]*,
*Dan, D.H.[Dan-Hui]*,
*Liu, Z.J.[Zi-Jia]*,
*Ruan, X.[Xin]*,

**Intelligent Simulation Method of Bridge Traffic Flow Load Combining
Machine Vision and Weigh-in-Motion Monitoring**,

*ITS(23)*, No. 9, September 2022, pp. 15313-15328.

IEEE DOI
**2209**

Bridges, Load modeling, Length measurement, Data models,
Position measurement, Machine vision, Axles, Traffic flow load,
Intelligent Driver Model
BibRef

*Tao, Q.H.[Qing-Hua]*,
*Li, Z.[Zhen]*,
*Xu, J.[Jun]*,
*Lin, S.[Shu]*,
*de Schutter, B.[Bart]*,
*Suykens, J.A.K.[Johan A. K.]*,

**Short-Term Traffic Flow Prediction Based on the Efficient Hinging
Hyperplanes Neural Network**,

*ITS(23)*, No. 9, September 2022, pp. 15616-15628.

IEEE DOI
**2209**

Predictive models, Artificial neural networks, Neurons,
Feature extraction, Analysis of variance, Data models, variables analysis
BibRef

*Wang, H.Q.[Han-Qiu]*,
*Zhang, R.Q.[Rong-Qing]*,
*Cheng, X.[Xiang]*,
*Yang, L.Q.[Liu-Qing]*,

**Hierarchical Traffic Flow Prediction Based on Spatial-Temporal Graph
Convolutional Network**,

*ITS(23)*, No. 9, September 2022, pp. 16137-16147.

IEEE DOI
**2209**

Predictive models, Data models, Protocols, Roads, Correlation,
Urban areas, Support vector machines,
traffic flow prediction
BibRef

*Hu, H.[Hexuan]*,
*Lin, Z.Z.[Zhen-Zhou]*,
*Hu, Q.[Qiang]*,
*Zhang, Y.[Ye]*,

**Attention Mechanism With Spatial-Temporal Joint Model for Traffic
Flow Speed Prediction**,

*ITS(23)*, No. 9, September 2022, pp. 16612-16621.

IEEE DOI
**2209**

Predictive models, Deep learning, Data models, Mathematical models,
Roads, Task analysis, Urban areas,
attention mechanism
BibRef

*Zhang, Y.[Yang]*,
*Xin, D.R.[Dong-Rong]*,

**A Diverse Ensemble Deep Learning Method for Short-Term Traffic Flow
Prediction Based on Spatiotemporal Correlations**,

*ITS(23)*, No. 9, September 2022, pp. 16715-16727.

IEEE DOI
**2209**

Roads, Predictive models, Correlation, Deep learning,
Spatiotemporal phenomena, Prediction algorithms,
convolutional neural network
BibRef

*Xing, L.[Lumin]*,
*Liu, W.J.[Wen-Jian]*,

**A Data Fusion Powered Bi-Directional Long Short Term Memory Model for
Predicting Multi-Lane Short Term Traffic Flow**,

*ITS(23)*, No. 9, September 2022, pp. 16810-16819.

IEEE DOI
**2209**

Predictive models, Roads, Spatiotemporal phenomena, Data models,
Hidden Markov models, Correlation, Real-time systems,
DFBD-LSTM
BibRef

*Shu, W.N.[Wan-Neng]*,
*Cai, K.[Ken]*,
*Xiong, N.N.[Neal Naixue]*,

**A Short-Term Traffic Flow Prediction Model Based on an Improved Gate
Recurrent Unit Neural Network**,

*ITS(23)*, No. 9, September 2022, pp. 16654-16665.

IEEE DOI
**2209**

Predictive models, Adaptation models, Time series analysis,
Prediction algorithms, Mathematical model,
short-term traffic flow prediction
BibRef

*Wu, X.Y.[Xiang-Yang]*,
*Zhu, W.[Weite]*,
*Liu, Z.[Zhen]*,
*Zhang, Z.[Zhen]*,

**A Novel Vehicle Destination Prediction Model With Expandable Features
Using Attention Mechanism and Variational Autoencoder**,

*ITS(23)*, No. 9, September 2022, pp. 16548-16557.

IEEE DOI
**2209**

Predictive models, Data models, Vehicle driving, Trajectory,
Feature extraction, Mathematical models, Load modeling, attentional mechanisms
BibRef

*Su, Y.C.[Yu-Chao]*,
*Du, J.[Jie]*,
*Li, Y.M.[Yuan-Man]*,
*Li, X.[Xia]*,
*Liang, R.Q.[Rong-Qin]*,
*Hua, Z.Y.[Zhong-Yun]*,
*Zhou, J.T.[Jian-Tao]*,

**Trajectory Forecasting Based on Prior-Aware Directed Graph
Convolutional Neural Network**,

*ITS(23)*, No. 9, September 2022, pp. 16773-16785.

IEEE DOI
**2209**

Trajectory, Predictive models, Directed graphs,
Generative adversarial networks, Topology, Feature extraction,
asymmetric interactions
BibRef

*Wang, Y.[Yang]*,
*Zheng, J.[Jin]*,
*Du, Y.Q.[Yu-Qi]*,
*Huang, C.[Cheng]*,
*Li, P.[Ping]*,

**Traffic-GGNN: Predicting Traffic Flow via Attentional
Spatial-Temporal Gated Graph Neural Networks**,

*ITS(23)*, No. 10, October 2022, pp. 18423-18432.

IEEE DOI
**2210**

Predictive models, Graph neural networks, Logic gates,
Bidirectional control, Task analysis, Correlation, Message passing,
traffic flow prediction
BibRef

*Dai, F.[Fei]*,
*Huang, P.G.[Peng-Gui]*,
*Mo, Q.[Qi]*,
*Xu, X.L.[Xiao-Long]*,
*Bilal, M.[Muhammad]*,
*Song, H.[Houbing]*,

**ST-InNet: Deep Spatio-Temporal Inception Networks for Traffic Flow
Prediction in Smart Cities**,

*ITS(23)*, No. 10, October 2022, pp. 19782-19794.

IEEE DOI
**2210**

Correlation, Mathematical models, Data models, Predictive models,
Learning systems, Matrix converters, Support vector machines,
inception networks
BibRef

*Mirzahossein, H.[Hamid]*,
*Gholampour, I.[Iman]*,
*Sajadi, S.R.[Sayed Reza]*,
*Zamani, A.H.[Amir Hossein]*,

**A hybrid deep and machine learning model for short-term traffic
volume forecasting of adjacent intersections**,

*IET-ITS(16)*, No. 11, 2022, pp. 1648-1663.

DOI Link
**2210**

BibRef

*Duan, S.J.[Si-Jing]*,
*Lyu, F.[Feng]*,
*Ren, J.[Ju]*,
*Wang, Y.F.[Yi-Feng]*,
*Yang, P.[Peng]*,
*Zhang, D.S.[De-Sheng]*,
*Zhang, Y.X.[Yao-Xue]*,

**Multitype Highway Mobility Analytics for Efficient Learning Model
Design: A Case of Station Traffic Prediction**,

*ITS(23)*, No. 10, October 2022, pp. 19484-19496.

IEEE DOI
**2210**

Transportation, Predictive models, Analytical models, Roads,
Urban areas, Logistics, Data analysis, Multitype highway mobility,
traffic prediction model
BibRef

*Liu, F.Q.[Fu-Qiang]*,
*Wang, J.W.[Jia-Wei]*,
*Tian, J.[Jingbo]*,
*Zhuang, D.[Dingyi]*,
*Miranda-Moreno, L.[Luis]*,
*Sun, L.J.[Li-Jun]*,

**A Universal Framework of Spatiotemporal Bias Block for Long-Term
Traffic Forecasting**,

*ITS(23)*, No. 10, October 2022, pp. 19064-19075.

IEEE DOI
**2210**

Predictive models, Convolution, Forecasting,
Spatiotemporal phenomena, Computational modeling, Logic gates,
residual connection
BibRef

*Wang, J.C.[Jing-Cheng]*,
*Zhang, Y.[Yong]*,
*Wang, L.[Lixun]*,
*Hu, Y.L.[Yong-Li]*,
*Piao, X.L.[Xing-Lin]*,
*Yin, B.C.[Bao-Cai]*,

**Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic
Prediction Framework**,

*ITS(23)*, No. 10, October 2022, pp. 18557-18567.

IEEE DOI
**2210**

Task analysis, Multitasking, Data models, Predictive models,
Neural networks, Public transportation, Deep learning,
multi-task learning
BibRef

*Huo, J.B.[Jin-Biao]*,
*Wu, X.H.[Xin-Hua]*,
*Lyu, C.[Cheng]*,
*Zhang, W.B.[Wen-Bo]*,
*Liu, Z.Y.[Zhi-Yuan]*,

**Quantify the Road Link Performance and Capacity Using Deep Learning
Models**,

*ITS(23)*, No. 10, October 2022, pp. 18581-18591.

IEEE DOI
**2210**

Business process re-engineering, Roads, Estimation,
Neural networks, Transportation, Calibration, Deep learning,
macroscopic and microscopic traffic modeling
BibRef

*Zang, D.[Di]*,
*Chen, X.[Xihao]*,
*Lei, J.T.[Jun-Tao]*,
*Wang, Z.Q.[Zeng-Qiang]*,
*Zhang, J.Q.[Jun-Qi]*,
*Cheng, J.[Jiujun]*,
*Tang, K.[Keshuang]*,

**A multi-channel geometric algebra residual network for traffic data
prediction**,

*IET-ITS(16)*, No. 11, 2022, pp. 1549-1560.

DOI Link
**2210**

BibRef

*Badu-Marfo, G.[Godwin]*,
*Farooq, B.[Bilal]*,
*Patterson, Z.[Zachary]*,

**Composite Travel Generative Adversarial Networks for Tabular and
Sequential Population Synthesis**,

*ITS(23)*, No. 10, October 2022, pp. 17976-17985.

IEEE DOI
**2210**

Statistics, Sociology, Data models,
Generative adversarial networks, Training, Linear programming,
agent based modelling
BibRef

*Zeng, Z.[Zeng]*,
*Zhao, W.[Wei]*,
*Qian, P.S.[Pei-Sheng]*,
*Zhou, Y.J.[Ying-Jie]*,
*Zhao, Z.Y.[Zi-Yuan]*,
*Chen, C.[Cen]*,
*Guan, C.T.[Cun-Tai]*,

**Robust Traffic Prediction From Spatial-Temporal Data Based on
Conditional Distribution Learning**,

*Cyber(52)*, No. 12, December 2022, pp. 13458-13471.

IEEE DOI
**2212**

Training, Convolution, Graph neural networks,
Probability distribution, Learning systems, Deep learning, traffic prediction
BibRef

*Jiang, Y.L.[Yun-Liang]*,
*Fan, J.B.[Jin-Bin]*,
*Liu, Y.[Yong]*,
*Zhang, X.T.[Xiong-Tao]*,

**Deep Graph Gaussian Processes for Short-Term Traffic Flow Forecasting
From Spatiotemporal Data**,

*ITS(23)*, No. 11, November 2022, pp. 20177-20186.

IEEE DOI
**2212**

Gaussian processes, Feature extraction, Spatiotemporal phenomena,
Monitoring, Kernel, Predictive models, Data models,
traffic flow forecasting
BibRef

*Zhao, Y.J.[Yi-Ji]*,
*Lin, Y.F.[You-Fang]*,
*Zhang, Y.K.[Yong-Kai]*,
*Wen, H.M.[Hao-Min]*,
*Liu, Y.X.[Yun-Xiao]*,
*Wu, H.[Hao]*,
*Wu, Z.H.[Zhi-Hao]*,
*Zhang, S.C.[Shuai-Chao]*,
*Wan, H.Y.[Huai-Yu]*,

**Traffic Inflow and Outflow Forecasting by Modeling Intra- and
Inter-Relationship Between Flows**,

*ITS(23)*, No. 11, November 2022, pp. 20202-20216.

IEEE DOI
**2212**

Feature extraction, Correlation, Predictive models, Forecasting,
Data models, Convolutional neural networks, Training,
graph convolutional networks
BibRef

*Huang, J.[Jing]*,
*Luo, K.[Kun]*,
*Cao, L.B.[Long-Bing]*,
*Wen, Y.Q.[Yuan-Qiao]*,
*Zhong, S.Y.[Shu-Yuan]*,

**Learning Multiaspect Traffic Couplings by Multirelational Graph
Attention Networks for Traffic Prediction**,

*ITS(23)*, No. 11, November 2022, pp. 20681-20695.

IEEE DOI
**2212**

Couplings, Predictive models, Roads, Data models,
Hidden Markov models, Forecasting, Deep learning, traffic signal coupling
BibRef

*Li, Y.Q.[Yi-Qun]*,
*Chai, S.J.[Song-Jian]*,
*Wang, G.B.[Gui-Bin]*,
*Zhang, X.[Xian]*,
*Qiu, J.[Jing]*,

**Quantifying the Uncertainty in Long-Term Traffic Prediction Based on
PI-ConvLSTM Network**,

*ITS(23)*, No. 11, November 2022, pp. 20429-20441.

IEEE DOI
**2212**

Predictive models, Deep learning, Logic gates, Uncertainty,
Reliability, Probabilistic logic, Feature extraction,
traffic flow prediction
BibRef

*Yan, H.Y.[Hao-Yang]*,
*Ma, X.L.[Xiao-Lei]*,
*Pu, Z.Y.[Zi-Yuan]*,

**Learning Dynamic and Hierarchical Traffic Spatiotemporal Features
With Transformer**,

*ITS(23)*, No. 11, November 2022, pp. 22386-22399.

IEEE DOI
**2212**

Forecasting, Roads, Predictive models, Feature extraction,
Deep learning, Spatiotemporal phenomena, Heuristic algorithms,
graph-based model
BibRef

*Liu, Z.Y.[Zhi-Yuan]*,
*Lyu, C.[Cheng]*,
*Huo, J.B.[Jin-Biao]*,
*Wang, S.A.[Shuai-An]*,
*Chen, J.[Jun]*,

**Gaussian Process Regression for Transportation System Estimation and
Prediction Problems: The Deformation and a Hat Kernel**,

*ITS(23)*, No. 11, November 2022, pp. 22331-22342.

IEEE DOI
**2212**

Kernel, Optimization, Transportation, Gaussian processes, Strain,
Estimation, Bayes methods, Hat kernel, hyperparameter optimization, lower bound
BibRef

*Fang, Y.C.[Yu-Chen]*,
*Zhao, F.[Fang]*,
*Qin, Y.J.[Yan-Jun]*,
*Luo, H.Y.[Hai-Yong]*,
*Wang, C.X.[Chen-Xing]*,

**Learning All Dynamics: Traffic Forecasting via Locality-Aware
Spatio-Temporal Joint Transformer**,

*ITS(23)*, No. 12, December 2022, pp. 23433-23446.

IEEE DOI
**2212**

Forecasting, Correlation, Convolution, Roads, Transformers,
Predictive models, Task analysis, Traffic forecasting,
diffusion convolution network
BibRef

*Liang, M.[Maohan]*,
*Liu, R.W.[Ryan Wen]*,
*Zhan, Y.[Yang]*,
*Li, H.H.[Huan-Huan]*,
*Zhu, F.H.[Feng-Hua]*,
*Wang, F.Y.[Fei-Yue]*,

**Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal
Multigraph Convolutional Network**,

*ITS(23)*, No. 12, December 2022, pp. 23694-23707.

IEEE DOI
**2212**

Feature extraction, Correlation, Artificial intelligence,
Trajectory, Data mining, Predictive models, Learning systems,
automatic identification system (AIS)
BibRef

*Li, Z.L.[Zi-Long]*,
*Ren, Q.Q.[Qian-Qian]*,
*Chen, L.[Long]*,
*Li, J.B.[Jin-Bao]*,
*Li, X.K.[Xiao-Kun]*,

**Multi-scale convolutional networks for traffic forecasting with
spatial-temporal attention**,

*PRL(164)*, 2022, pp. 53-59.

Elsevier DOI
**2212**

Traffic forecasting, Spatial-temporal attention, Convolutional networks
BibRef

*Li, Z.L.[Zi-Long]*,
*Ren, Q.Q.[Qian-Qian]*,
*Chen, L.[Long]*,
*Sui, X.H.[Xiao-Hong]*,
*Li, J.B.[Jin-Bao]*,

**Multi-Hierarchical Spatial-Temporal Graph Convolutional Networks for
Traffic Flow Forecasting**,

*ICPR22*(4913-4919)

IEEE DOI
**2212**

Correlation, Convolution, Transportation, Traffic control,
Predictive models, Transformers, Feature extraction,
traffic flow forecasting
BibRef

*Deng, X.D.[Xing-Dong]*,
*Zhang, J.[Ji]*,
*Liao, S.Y.[Shun-Yi]*,
*Zhong, C.J.[Chu-Jie]*,
*Gao, F.[Feng]*,
*Teng, L.[Li]*,

**Interactive Impacts of Built Environment Factors on Metro Ridership
Using GeoDetector: From the Perspective of TOD**,

*IJGI(11)*, No. 12, 2022, pp. xx-yy.

DOI Link
**2301**

BibRef

*Nadarajan, J.[Jeba]*,
*Sivanraj, R.[Rathi]*,

**Attention-Based Multiscale Spatiotemporal Network for Traffic
Forecast with Fusion of External Factors**,

*IJGI(11)*, No. 12, 2022, pp. xx-yy.

DOI Link
**2301**

BibRef

*Huang, S.[Shuai]*,
*Sun, D.[Dihua]*,
*Zhao, M.[Min]*,
*Chen, J.[Jin]*,
*Chen, R.[Rui]*,

**Short-term traffic flow prediction approach incorporating vehicle
functions from RFID-ELP data for urban road sections**,

*IET-ITS(17)*, No. 1, 2023, pp. 144-164.

DOI Link
**2301**

BibRef

*Abdelraouf, A.[Amr]*,
*Abdel-Aty, M.[Mohamed]*,
*Mahmoud, N.[Nada]*,

**Sequence-to-Sequence Recurrent Graph Convolutional Networks for
Traffic Estimation and Prediction Using Connected Probe Vehicle Data**,

*ITS(24)*, No. 1, January 2023, pp. 1395-1405.

IEEE DOI
**2301**

Probes, Estimation, Data models, Sensors, Detectors, Predictive models,
Roads, Traffic estimation, traffic prediction, recurrent neural networks
BibRef

*Xia, M.R.[Meng-Ran]*,
*Jin, D.W.[Da-Wei]*,
*Chen, J.Y.[Jing-Yu]*,

**Short-Term Traffic Flow Prediction Based on Graph Convolutional
Networks and Federated Learning**,

*ITS(24)*, No. 1, January 2023, pp. 1191-1203.

IEEE DOI
**2301**

Predictive models, Data models, Forecasting, Training,
Computational modeling, Roads, Data privacy,
horizontal local road network
BibRef

*Diao, C.Y.[Chun-Yan]*,
*Zhang, D.[Dafang]*,
*Liang, W.[Wei]*,
*Li, K.C.[Kuan-Ching]*,
*Hong, Y.J.[Yu-Jie]*,
*Gaudiot, J.L.[Jean-Luc]*,

**A Novel Spatial-Temporal Multi-Scale Alignment Graph Neural Network
Security Model for Vehicles Prediction**,

*ITS(24)*, No. 1, January 2023, pp. 904-914.

IEEE DOI
**2301**

Convolution, Correlation, Vehicle dynamics, Forecasting, Roads,
Predictive models, Time series analysis, vehicle prediction
BibRef

*Luo, D.[Dan]*,
*Zhao, D.[Dong]*,
*Cao, Z.J.[Zi-Jian]*,
*Wu, M.Y.[Ming-Yao]*,
*Liu, L.[Liang]*,
*Ma, H.D.[Hua-Dong]*,

**M3AN: Multitask Multirange Multisubgraph Attention Network for
Condition-Aware Traffic Prediction**,

*ITS(24)*, No. 1, January 2023, pp. 218-232.

IEEE DOI
**2301**

Roads, Data models, Correlation, Predictive models,
Adaptation models, Deep learning, deep learning
BibRef

*Zhang, W.F.[Wei-Feng]*,
*Wu, Z.[Zhe]*,
*Zhang, X.F.[Xin-Feng]*,
*Song, G.[Guoli]*,
*Wang, Y.[Yaowei]*,
*Chen, J.[Jie]*,

**Robust and Hierarchical Spatial Relation Analysis for Traffic
Forecasting**,

*ITS(24)*, No. 1, January 2023, pp. 201-217.

IEEE DOI
**2301**

Market research, Feature extraction, Forecasting,
Time series analysis, Transportation, Deep learning,
temporal convolution network
BibRef

*Luo, G.Y.[Gui-Yang]*,
*Zhang, H.[Hui]*,
*Yuan, Q.[Quan]*,
*Li, J.L.[Jing-Lin]*,
*Wang, F.Y.[Fei-Yue]*,

**ClusterST: Clustering Spatial-Temporal Network for Traffic
Forecasting**,

*ITS(24)*, No. 1, January 2023, pp. 706-717.

IEEE DOI
**2301**

Feature extraction, Forecasting, Correlation, Laplace equations,
Sensor phenomena and characterization, Predictive models, over-smoothing
BibRef

*Zhou, S.H.[Sheng-Han]*,
*Wei, C.F.[Chao-Fan]*,
*Song, C.F.[Chao-Fei]*,
*Pan, X.[Xing]*,
*Chang, W.B.[Wen-Bing]*,
*Yang, L.C.[Lin-Chao]*,

**Short-Term Traffic Flow Prediction of the Smart City Using 5G
Internet of Vehicles Based on Edge Computing**,

*ITS(24)*, No. 2, February 2023, pp. 2229-2238.

IEEE DOI
**2302**

Roads, 5G mobile communication, Smart cities, Transportation,
Predictive models, Prediction algorithms, Computational modeling,
smart city
BibRef

*Ji, J.Z.[Jun-Zhong]*,
*Yu, F.[Fan]*,
*Lei, M.[Minglong]*,

**Self-Supervised Spatiotemporal Graph Neural Networks With
Self-Distillation for Traffic Prediction**,

*ITS(24)*, No. 2, February 2023, pp. 1580-1593.

IEEE DOI
**2302**

Predictive models, Spatiotemporal phenomena, Task analysis,
Data models, Feature extraction, Self-supervised learning,
self-distillation
BibRef

*Li, M.X.[Ming-Xi]*,
*Tang, Y.H.[Yi-Hong]*,
*Ma, W.[Wei]*,

**Few-Sample Traffic Prediction With Graph Networks Using Locale as
Relational Inductive Biases**,

*ITS(24)*, No. 2, February 2023, pp. 1894-1908.

IEEE DOI
**2302**

Data models, Predictive models, Urban areas, Task analysis, Roads,
Numerical models, Training, Traffic prediction,
intelligent transportation systems
BibRef

*Li, N.[Na]*,
*Sheng, H.T.[Hao-Tian]*,
*Wang, P.Y.[Ping-Yao]*,
*Jia, Y.L.[Yu-Lin]*,
*Yang, Z.[Zaili]*,
*Jin, Z.H.[Zhi-Hong]*,

**Modeling Categorized Truck Arrivals at Ports: Big Data for Traffic
Prediction**,

*ITS(24)*, No. 3, March 2023, pp. 2772-2788.

IEEE DOI
**2303**

Containers, Predictive models, Data models, Seaports, Deep learning,
Logic gates, Task analysis, Container terminal, truck arrival,
big data
BibRef

*Jiang, W.W.[Wei-Wei]*,
*Luo, J.[Jiayun]*,
*He, M.[Miao]*,
*Gu, W.X.[Wei-Xi]*,

**Graph Neural Network for Traffic Forecasting: The Research Progress**,

*IJGI(12)*, No. 3, 2023, pp. xx-yy.

DOI Link
**2303**

BibRef

*Mahajan, V.[Vishal]*,
*Cantelmo, G.[Guido]*,
*Rothfeld, R.[Raoul]*,
*Antoniou, C.[Constantinos]*,

**Predicting network flows from speeds using open data and transfer
learning**,

*IET-ITS(17)*, No. 4, 2023, pp. 804-824.

DOI Link
**2304**

deep learning, open data, traffic forecasting,
traffic prediction, traffic state estimation, transfer learning
BibRef

*Lai, Q.F.[Qi-Feng]*,
*Tian, J.[Jinyu]*,
*Wang, W.[Wei]*,
*Hu, X.P.[Xi-Ping]*,

**Spatial-Temporal Attention Graph Convolution Network on Edge Cloud
for Traffic Flow Prediction**,

*ITS(24)*, No. 4, April 2023, pp. 4565-4576.

IEEE DOI
**2304**

Cloud computing, Data models, Predictive models, Servers,
Convolution, Training, Feature extraction, Egde cloud,
graph convolution network
BibRef

*Zeng, J.[Jie]*,
*Tang, J.J.[Jin-Jun]*,

**Modeling Dynamic Traffic Flow as Visibility Graphs: A Network-Scale
Prediction Framework for Lane-Level Traffic Flow Based on LPR Data**,

*ITS(24)*, No. 4, April 2023, pp. 4173-4188.

IEEE DOI
**2304**

Predictive models, Roads, Correlation, Spatiotemporal phenomena,
Data models, Logic gates, Task analysis,
license plate recognition data
BibRef

*Wang, A.[Ao]*,
*Ye, Y.C.[Yong-Chao]*,
*Song, X.Z.[Xiao-Zhuang]*,
*Zhang, S.[Shiyao]*,
*Yu, J.J.Q.[James J. Q.]*,

**Traffic Prediction With Missing Data: A Multi-Task Learning Approach**,

*ITS(24)*, No. 4, April 2023, pp. 4189-4202.

IEEE DOI
**2304**

Task analysis, Predictive models, Training, Multitasking,
Feature extraction, Deep learning, Data mining,
multi-task learning
BibRef

*Wang, Y.[Yi]*,
*Jing, C.F.[Chang-Feng]*,
*Huang, W.[Wei]*,
*Jin, S.Y.[Shi-Yuan]*,
*Lv, X.X.[Xin-Xin]*,

**Adaptive Spatiotemporal InceptionNet for Traffic Flow Forecasting**,

*ITS(24)*, No. 4, April 2023, pp. 3882-3907.

IEEE DOI
**2304**

Spatiotemporal phenomena, Feature extraction, Forecasting, Roads,
Predictive models, Data mining, Convolution,
graph pooling
BibRef

*Huo, G.Y.[Guang-Yu]*,
*Zhang, Y.[Yong]*,
*Wang, B.Y.[Bo-Yue]*,
*Gao, J.B.[Jun-Bin]*,
*Hu, Y.L.[Yong-Li]*,
*Yin, B.C.[Bao-Cai]*,

**Hierarchical Spatio-Temporal Graph Convolutional Networks and
Transformer Network for Traffic Flow Forecasting**,

*ITS(24)*, No. 4, April 2023, pp. 3855-3867.

IEEE DOI
**2304**

Forecasting, Transformers, Convolution, Roads, Task analysis,
Predictive models, Network topology, transformer
BibRef

*Ma, Q.W.[Qi-Wei]*,
*Sun, W.[Wei]*,
*Gao, J.[Junbo]*,
*Ma, P.W.[Peng-Wei]*,
*Shi, M.J.[Meng-Jie]*,

**Spatio-temporal adaptive graph convolutional networks for traffic
flow forecasting**,

*IET-ITS(17)*, No. 4, 2023, pp. 691-703.

DOI Link
**2304**

BibRef

*Liao, Z.H.[Zhu-Hua]*,
*Huang, H.K.[Hao-Kai]*,
*Zhao, Y.J.[Yi-Jiang]*,
*Liu, Y.Z.[Yi-Zhi]*,
*Zhang, G.Q.[Guo-Qiang]*,

**Analysis and Forecast of Traffic Flow between Urban Functional Areas
Based on Ride-Hailing Trajectories**,

*IJGI(12)*, No. 4, 2023, pp. 144.

DOI Link
**2305**

BibRef

*Liu, M.Z.[Ming-Zhe]*,
*Zhu, T.[Tongyu]*,
*Ye, J.[Junchen]*,
*Meng, Q.X.[Qing-Xin]*,
*Sun, L.L.[Lei-Lei]*,
*Du, B.[Bowen]*,

**Spatio-Temporal AutoEncoder for Traffic Flow Prediction**,

*ITS(24)*, No. 5, May 2023, pp. 5516-5526.

IEEE DOI
**2305**

Convolution, Time series analysis, Feature extraction, Decoding, Data mining,
Correlation, History, Traffic flow prediction, hidden state extraction
BibRef

*Chondrodima, E.[Eva]*,
*Pelekis, N.[Nikos]*,
*Pikrakis, A.[Aggelos]*,
*Theodoridis, Y.[Yannis]*,

**An Efficient LSTM Neural Network-Based Framework for Vessel Location
Forecasting**,

*ITS(24)*, No. 5, May 2023, pp. 4872-4888.

IEEE DOI
**2305**

Trajectory, Forecasting, Artificial neural networks,
Predictive models, Hidden Markov models, trajectory data augmentation
BibRef

*Varga, B.[Balázs]*,
*Pereira, M.[Mike]*,
*Kulcsár, B.[Balázs]*,
*Pariota, L.[Luigi]*,
*Péni, T.[Tamás]*,

**Data-Driven Distance Metrics for Kriging-Short-Term Urban Traffic
State Prediction**,

*ITS(24)*, No. 6, June 2023, pp. 6268-6279.

IEEE DOI
**2306**

Prediction algorithms, Measurement, Detectors, Kernel, Deep learning,
Correlation, Neural networks, Kriging, spatio-temporal prediction,
traffic flow prediction
BibRef

*Weng, W.C.[Wen-Chao]*,
*Fan, J.[Jin]*,
*Wu, H.[Huifeng]*,
*Hu, Y.J.[Yu-Jie]*,
*Tian, H.[Hao]*,
*Zhu, F.[Fu]*,
*Wu, J.[Jia]*,

**A Decomposition Dynamic graph convolutional recurrent network for
traffic forecasting**,

*PR(142)*, 2023, pp. 109670.

Elsevier DOI
**2307**

Traffic forecasting, Dynamic graph generation,
Residual decomposition, Segmented learning, Graph convolution network
BibRef

*Li, H.R.[Hao-Ran]*,
*Yuan, Z.Z.[Zhen-Zhou]*,
*Chen, S.Y.[Si-Yuan]*,
*Zhu, C.[Chuang]*,

**Exploring the effects of measures of performance and calibration
strategies on calibrating traffic microsimulation model:
A quantitative analysis approach**,

*IET-ITS(17)*, No. 6, 2023, pp. 1200-1219.

DOI Link
**2307**

calibration, performance evaluation,
traffic engineering computing, transport modelling and microsimulation
BibRef

*Sun, H.R.[Hao-Ran]*,
*Wei, Y.L.[Yan-Ling]*,
*Huang, X.L.[Xue-Liang]*,
*Gao, S.[Shan]*,
*Song, Y.H.[Yu-Hang]*,

**Global spatio-temporal dynamic capturing network-based traffic flow
prediction**,

*IET-ITS(17)*, No. 6, 2023, pp. 1220-1228.

DOI Link
**2307**

complex networks, decision making, management and control, traffic modelling
BibRef

*Li, Z.X.[Zhen-Xin]*,
*Han, Y.[Yong]*,
*Xu, Z.Y.[Zhen-Yu]*,
*Zhang, Z.H.[Zhi-Hao]*,
*Sun, Z.X.[Zhi-Xian]*,
*Chen, G.[Ge]*,

**PMGCN: Progressive Multi-Graph Convolutional Network for Traffic
Forecasting**,

*IJGI(12)*, No. 6, 2023, pp. xx-yy.

DOI Link
**2307**

BibRef

*Fan, A.[Aihua]*,
*Chen, X.[Xumei]*,
*Yu, L.[Lei]*,
*Li, M.[Ming]*,

**Investigating heterogeneity in travel behaviour change when
implementing soft transport interventions: A latent class choice
model**,

*IET-ITS(17)*, No. 6, 2023, pp. 1072-1086.

DOI Link
**2307**

latent class choice model, soft transport intervention,
travel behaviour change, traveller heterogeneity
BibRef

*Wang, B.[Binwu]*,
*Zhang, Y.D.[Yu-Dong]*,
*Shi, J.H.[Jia-Hao]*,
*Wang, P.K.[Peng-Kun]*,
*Wang, X.[Xu]*,
*Bai, L.[Lei]*,
*Wang, Y.[Yang]*,

**Knowledge Expansion and Consolidation for Continual Traffic
Prediction With Expanding Graphs**,

*ITS(24)*, No. 7, July 2023, pp. 7190-7201.

IEEE DOI
**2307**

Spatiotemporal phenomena, Data models, Predictive models, Roads,
Knowledge engineering, Task analysis, Correlation, continuous learning
BibRef

*Huang, R.[Ru]*,
*Chen, Z.J.[Zi-Jian]*,
*Zhai, G.T.[Guang-Tao]*,
*He, J.H.[Jian-Hua]*,
*Chu, X.L.[Xiao-Li]*,

**Spatial-temporal correlation graph convolutional networks for traffic
forecasting**,

*IET-ITS(17)*, No. 7, 2023, pp. 1380-1394.

DOI Link
**2307**

management and control, neural net architecture,
network topology, traffic modeling
BibRef

*Qi, X.Y.[Xiao-Yu]*,
*Mei, G.[Gang]*,
*Tu, J.Z.[Jing-Zhi]*,
*Xi, N.[Ning]*,
*Piccialli, F.[Francesco]*,

**A Deep Learning Approach for Long-Term Traffic Flow Prediction With
Multifactor Fusion Using Spatiotemporal Graph Convolutional Network**,

*ITS(24)*, No. 8, August 2023, pp. 8687-8700.

IEEE DOI
**2308**

Spatiotemporal phenomena, Predictive models, Deep learning,
Convolution, Data models, Forecasting, Logic gates, deep learning
BibRef

*Yuan, X.M.[Xiao-Ming]*,
*Chen, J.[Jiahui]*,
*Yang, J.[Jiayu]*,
*Zhang, N.[Ning]*,
*Yang, T.T.[Ting-Ting]*,
*Han, T.[Tao]*,
*Taherkordi, A.[Amir]*,

**FedSTN: Graph Representation Driven Federated Learning for Edge
Computing Enabled Urban Traffic Flow Prediction**,

*ITS(24)*, No. 8, August 2023, pp. 8738-8748.

IEEE DOI
**2308**

Computational modeling, Servers, Predictive models, Data models,
Collaborative work, Deep learning, Training, smart city
BibRef

*Chen, Y.[Yan]*,
*Shu, T.[Tian]*,
*Zhou, X.K.[Xiao-Kang]*,
*Zheng, X.[Xuzhe]*,
*Kawai, A.[Akira]*,
*Fueda, K.[Kaoru]*,
*Yan, Z.[Zheng]*,
*Liang, W.[Wei]*,
*Wang, K.I.K.[Kevin I-Kai]*,

**Graph Attention Network With Spatial-Temporal Clustering for Traffic
Flow Forecasting in Intelligent Transportation System**,

*ITS(24)*, No. 8, August 2023, pp. 8727-8737.

IEEE DOI
**2308**

Forecasting, Feature extraction, Convolution, Predictive models,
Task analysis, Internet of Things, Data models,
intelligent transportation system
BibRef

*Guo, C.Y.[Can-Yang]*,
*Chen, C.H.[Chi-Hua]*,
*Hwang, F.J.[Feng-Jang]*,
*Chang, C.C.[Ching-Chun]*,
*Chang, C.C.[Chin-Chen]*,

**Fast Spatiotemporal Learning Framework for Traffic Flow Forecasting**,

*ITS(24)*, No. 8, August 2023, pp. 8606-8616.

IEEE DOI
**2308**

Spatiotemporal phenomena, Correlation, Convolution, Roads,
Intelligent transportation systems, Kernel, Logic gates,
traffic flow forecasting
BibRef

*Huang, Y.J.[Yun-Jie]*,
*Song, X.Z.[Xiao-Zhuang]*,
*Zhu, Y.S.[Yuan-Shao]*,
*Zhang, S.[Shiyao]*,
*Yu, J.J.Q.[James J. Q.]*,

**Traffic Prediction With Transfer Learning:
A Mutual Information-Based Approach**,

*ITS(24)*, No. 8, August 2023, pp. 8236-8252.

IEEE DOI
**2308**

Urban areas, Transfer learning, Roads, Task analysis, Data models,
Forecasting, Predictive models, Traffic prediction,
mutual information
BibRef

*Jin, G.Y.[Guang-Yin]*,
*Li, F.[Fuxian]*,
*Zhang, J.[Jinlei]*,
*Wang, M.[Mudan]*,
*Huang, J.[Jincai]*,

**Automated Dilated Spatio-Temporal Synchronous Graph Modeling for
Traffic Prediction**,

*ITS(24)*, No. 8, August 2023, pp. 8820-8830.

IEEE DOI
**2308**

Computational modeling, Correlation, Convolution,
Predictive models, Adaptation models, Time series analysis,
automated machine learning
BibRef

*Yao, Z.X.[Zhi-Xiu]*,
*Xia, S.C.[Shi-Chao]*,
*Li, Y.[Yun]*,
*Wu, G.F.[Guang-Fu]*,
*Zuo, L.L.[Lin-Li]*,

**Transfer Learning with Spatial-Temporal Graph Convolutional Network
for Traffic Prediction**,

*ITS(24)*, No. 8, August 2023, pp. 8592-8605.

IEEE DOI
**2308**

Roads, Transfer learning, Convolutional neural networks,
Feature extraction, Task analysis, Data models, Convolution,
adversarial domain adaptation
BibRef

*Wang, Q.[Qiang]*,
*Jiang, H.[Hao]*,
*Qiu, M.[Meikang]*,
*Liu, Y.F.[Yi-Feng]*,
*Ye, D.S.[Dong-Sheng]*,

**TGAE: Temporal Graph Autoencoder for Travel Forecasting**,

*ITS(24)*, No. 8, August 2023, pp. 8529-8541.

IEEE DOI
**2308**

Forecasting, Task analysis, Transportation, Vehicle dynamics,
Predictive models, Peer-to-peer computing, Heuristic algorithms,
temporal networks
BibRef

*Manibardo, E.L.[Eric L.]*,
*Lańa, I.[Ibai]*,
*Villar-Rodriguez, E.[Esther]*,
*Ser, J.D.[Javier Del]*,

**A Graph-Based Methodology for the Sensorless Estimation of Road
Traffic Profiles**,

*ITS(24)*, No. 8, August 2023, pp. 8701-8715.

IEEE DOI
**2308**

Roads, Data models, Estimation, Behavioral sciences, Predictive models,
Urban areas, Feature extraction, traffic data generation
BibRef

*Li, W.[Wei]*,
*Zhan, X.[Xi]*,
*Liu, X.[Xin]*,
*Zhang, L.[Lei]*,
*Pan, Y.[Yu]*,
*Pan, Z.[Zhisong]*,

**SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network
for Traffic Prediction**,

*IJGI(12)*, No. 8, 2023, pp. 346.

DOI Link
**2309**

BibRef

IEEE DOI

Knowledge engineering, Training, Correlation, Roads, Scalability, Weather forecasting, Transportation, spatial-temporal, ST-KG, reconstruction BibRef

*Li, Y.[Yang]*,
*Ren, Q.Q.[Qian-Qian]*,
*Jin, H.[Hu]*,
*Han, M.[Meng]*,

**LSTN:Long Short-Term Traffic Flow Forecasting with Transformer
Networks**,

*ICPR22*(4793-4800)

IEEE DOI
**2212**

Recurrent neural networks, Roads, Time series analysis,
Transformers, Forecasting, Task analysis
BibRef

*Guo, K.[Ke]*,
*Liu, W.X.[Wen-Xi]*,
*Pan, J.[Jia]*,

**End-to-End Trajectory Distribution Prediction Based on Occupancy Grid
Maps**,

*CVPR22*(2232-2241)

IEEE DOI
**2210**

Reinforcement learning, Predictive models, Transformers,
Trajectory, Pattern recognition, Task analysis, Behavior analysis,
Robot vision
BibRef

*Mallick, T.[Tanwi]*,
*Balaprakash, P.[Prasanna]*,
*Rask, E.[Eric]*,
*Macfarlane, J.[Jane]*,

**Transfer Learning with Graph Neural Networks for Short-Term Highway
Traffic Forecasting**,

*ICPR21*(10367-10374)

IEEE DOI
**2105**

Road transportation, Training, Recurrent neural networks,
Transfer learning, Predictive models, Traffic control, Pattern recognition
BibRef

*Sun, Y.[Yiwen]*,
*Wang, Y.[Yulu]*,
*Fu, K.[Kun]*,
*Wang, Z.[Zheng]*,
*Zhang, C.S.[Chang-Shui]*,
*Ye, J.P.[Jie-Ping]*,

**Constructing Geographic and Long-term Temporal Graph for Traffic
Forecasting**,

*ICPR21*(3483-3490)

IEEE DOI
**2105**

Measurement, Deep learning, Recurrent neural networks, Correlation,
Roads, Traffic control, User experience
BibRef

*Ai, W.*,
*Su, Y.*,
*Xing, T.*,
*Liu, D.*,

**Phase Plane Analysis of Traffic Flow Evolution Based on Sticky Payne
Model**,

*CVIDL20*(237-240)

IEEE DOI
**2102**

road traffic, phase plane analysis method, nonlinear phenomena,
traffic congestion, system instability, phase plan,
system stability
BibRef

*Li, Q.*,
*Wang, H.*,

**Elman short-term traffic flow prediction model based on association
rules**,

*CVIDL20*(673-678)

IEEE DOI
**2102**

backpropagation, data mining, recurrent neural nets, road traffic,
time series, traffic engineering computing, time series factors,
Elman neural network
BibRef

*Liu, D.*,
*Hui, S.*,
*Li, L.*,
*Liu, Z.*,
*Zhang, Z.*,

**A Method For Short-Term Traffic Flow Forecasting Based On GCN-LSTM**,

*CVIDL20*(364-368)

IEEE DOI
**2102**

convolutional neural nets, data reduction,
intelligent transportation systems, LSTM
BibRef

*Jiber, M.*,
*Lamouik, I.*,
*Ali, Y.*,
*Sabri, M.A.*,

**Traffic flow prediction using neural network**,

*ISCV18*(1-4)

IEEE DOI
**1807**

neural nets, road traffic, traffic engineering computing,
transportation, Moroccan center, neural network model,
neural network
BibRef

*Hou, J.*,
*Chen, J.*,
*Liao, S.*,
*Wen, J.*,
*Xiong, Q.*,

**Predicting Traffic Flow via Ensemble Deep Convolutional Neural
Networks with Spatio-temporal Joint Relations**,

*ICPR18*(1487-1492)

IEEE DOI
**1812**

Predictive models, Data models, Optimization, Task analysis, Kernel,
Convolutional neural networks
BibRef

*Zhang, Q.*,
*Jin, Q.*,
*Chang, J.*,
*Xiang, S.*,
*Pan, C.*,

**Kernel-Weighted Graph Convolutional Network:
A Deep Learning Approach for Traffic Forecasting**,

*ICPR18*(1018-1023)

IEEE DOI
**1812**

Kernel, Forecasting, Roads, Task analysis, Convolution,
Convolutional neural networks
BibRef

*Priambodo, B.[Bagus]*,
*Ahmad, A.[Azlina]*,

**Predicting Traffic Flow Based on Average Speed of Neighbouring Road
Using Multiple Regression**,

*IVIC17*(309-318).

Springer DOI
**1711**

BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in

Emission Control Issues in Traffic Control .

Last update:Aug 31, 2023 at 09:37:21