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.*,
*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.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, 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.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.]*,
*Laña, 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.[Shiyao]*,

**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

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:Sep 1, 2022 at 11:00:56