ZHANG Yue

Title:Lecturer

Position:

Research Interests: Autonomous vehicle, Driving behavior, Traffic safety, Machine learning

Email: zhangyue24@usst.edu.cn

Office:

Department:Transportation System Engineering

Academic/Professional Qualifications & Career History

Academic/Professional Qualifications 

Ph.D., Transportation Engineering, Tongji University, Shanghai, China, 2018-2024

B.E., Transportation Management, Chang'an University, Xi’an, China, 2014-2018


Career History

Lecturer, University of Shanghai for Science and Technology, 2024 -Present

Visiting scholar, University of Wisconsin-Madison, USA, 2022-2023

 



Research Achievements


Scientific Research projects

Projects:

1.01/2025-12/2028, Modeling and Optimization Control of Interaction Behavior on Expressways in a New Mixed Traffic Flow Environment, National Natural Science Foundation of China

2.01/2020-12/2023, Participant, Analysis and Optimization Methods Research on Traffic Flow Characteristics of Bottleneck Sections in Fast Roads for Autonomous Driving Environments, National Natural Science Foundation of China

3.12/2019-06/2021, Participant, Heterogeneous Traffic Groups Cooperative Driving Behaviors Research Under Mixed Traffic Condition, National Key Research and Development Program of China

4.09/2019-08/2021, Participant, Examining the Impact of Autonomous Driving on Operation and Optimization of Bottleneck Traffic Flow for Expressway, Shanghai Municipal Science and Technology Commission

5.01/2017-12/2019, Participant, Examining the Impact of Traffic Incidents on the Reliability of Freeway Travel Times and Improvement Strategies, National Natural Science Foundation of China 


Recent Papers:

1.Zhang Y., Zou Y., Xie Y., and Chen L. (2023). Identifying Dynamic Interaction Patterns in Mandatory and Discretionary Lane Changes Using Graph Structure. Computer-Aided Civil and Infrastructure Engineering (JCR Q1, IF=9.6).

2.Zhang Y., Zou Y., Selpi S., Zhang Y., Wu L. (2023). Spatiotemporal Interaction Pattern Recognition and Risk Evolution Analysis During Lane Changes. IEEE Transaction on Intelligent Transportation System, 2023, 24(6): 6663-6673 (JCR Q1, IF=8.5).

3.Zou Y., Han W., Zhang Y.*, Tang J., and Zhong X. (2023). Analyzing Freeway Traffic Incident Clearance Time Using a Deep Survival Model. Journal of Transportation Engineering, Part A: Systems, 2023, 149(10): 04023101 (JCR Q3, IF=1.93).

4.Wu S., Zou Y., Wu L., Zhang Y. (2023). Application of Bayesian model averaging for modeling time headway distribution. Physica A: Statistical Mechanics and Its Applications, 2023, 620: 128747 (JCR Q2, IF=3.3).

5.Zou Y., Zhu T., Xie Y., Zhang Y., and Zhang Y.* (2022). Multivariate Analysis of Car-Following Behavior Data Using a Coupled Hidden Markov Model. Transportation Research Part C: Emerging Technologies, 144: 103914 (JCR Q1, IF=8.3).

6.Zhang, Y., Zou, Y., Wu, L., and Han, W. (2022). Understanding the Merging Behavior Patterns and Evolutionary Mechanism at Freeway On-Ramps. Journal of Intelligent Transportation Systems, 2023, 27(5): 573-586 (JCR Q2, IF=4.3).

7.Zhang, Y., Zou, Y., Tang, J., and Liang, J. (2022). Long-term Prediction for High-Resolution Lane-Changing Data Using Temporal Convolution Network. Transportmetrica B: Transport Dynamics, 10(1), 849-863 (JCR Q2, IF=4.3).

8.Lu Y., Cheng K., Zhang Y., Chen X., and Zou Y. (2022). Analysis of Lane-Changing Conflict Between Cars and Trucks at Freeway Merging Sections Using UAV Video Data. Journal of Transportation Safety & Security, 2022:1-19 (JCR Q4, IF=2.6).

9.Zou, Y., Zhang, Y., and Cheng, K. (2021). Exploring The Impact of Climate and Extreme Weather on Fatal Traffic Accidents. Sustainability, 13(1), 390 (JCR Q3, IF=3.9).

10.Li, Y., Li, L., Ni, D., and Zhang, Y. (2021). Comprehensive Survival Analysis of Lane-Changing Duration Measurement, 182, 109707 (JCR Q2, IF=5.6).

11.Zhang, Y., Zou, Y., Wu, L., Tang, J., and Muneeb Abid, M. (2020). Exploring The Application of The Linear Poisson Autoregressive Model for Analyzing the Dynamic Impact of Traffic Laws on Fatal Traffic Accident Frequency. Journal of advanced transportation, 2020 (JCR Q3, IF=2.3).

12.Tang, J., Zheng, L., Han, C., Yin, W., Zhang, Y., Zou, Y., and Huang, H. (2020). Statistical and Machine-Learning Methods for Clearance Time Prediction of Road Incidents: A Methodology Review. Analytic methods in accident research, 27, 100123 (JCR Q1, IF=12.9, ESI Highly Cited Paper).

 

Teaching Courses

 

Professional/Consulting Activities

Provide reviewer services for SCI journals including Accident Analysis & Prevention, Transportmetrica B: Transport Dynamics and Physica A: Statistical Mechanics and its Applications. 

Awards and Honors

2024, Outstanding Graduates, Tongji University

2022, Second Prize of Science and Technology of Shanghai Society of Communications Engineering

2022, Doctoral National Scholarship, Ministry of Education of the People’s Republic of China

2021, Excellent Doctoral Scholarship, Tongji University

2018, Outstanding Graduates, Chang'an University

2017, National Scholarship, Ministry of Education of the People’s Republic of China