*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.*,
*Duan, Y.*,
*Kang, W.*,
*Li, Z.*,
*Wang, F.*,

**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

*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

*Jerath, K.*,
*Ray, A.*,
*Brennan, S.*,
*Gayah, V.V.*,

**Dynamic Prediction of Vehicle Cluster Distribution in Mixed Traffic:
A Statistical Mechanics-Inspired Method**,

*ITS(16)*, No. 5, October 2015, pp. 2424-2434.

IEEE DOI
**1511**

adaptive control
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.*,
*Lin, Y.*,
*Li, S.*,
*Chen, Z.*,
*Wan, H.*,

**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

*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.(.[Xiqun (Michael)]*,
*Zhang, S.[Shuaichao]*,
*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

*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.*,
*Hu, Y.*,
*Qian, Z.*,
*Liu, H.*,
*Zhang, K.*,
*Sun, Y.*,
*Gao, J.*,
*Yin, B.*,

**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

*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, C.[Chen]*,
*Liu, Z.[Ziye]*,
*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.[João]*,
*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.[Yanyun]*,
*Wang, X.[Xiang]*,
*Zheng, J.Y.[Jian-Ying]*,
*E, W.J.[Wen-Juan]*,
*Zhao, P.[Po]*,
*Meng, S.[Shiwei]*,

**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, Computer architecture, 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.[Yajie]*,
*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.[Guangyu]*,
*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.[Yifan]*,
*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.[Zhaoyun]*,
*Hu, Y.[Yuanjiao]*,
*Li, W.[Wei]*,
*Feng, S.[Shaowei]*,
*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

IEEE DOI

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

Traffic Flow Analysis Using Phone Signals, Cell Data, Wi-Fi data .

Last update:May 15, 2022 at 14:39:14