张越

职称/职务:讲师

主要研究领域:自动驾驶、驾驶行为分析、交通安全、机器学习

电子邮箱:zhangyue24@usst.edu.cn

办公室:经管大楼A楼612室

教育背景与工作经历

教育背景

博士,交通运输工程,同济大学,2018-2024

学士,交通运输(卓越工程师),长安大学,2014-2018


工作经历

讲师,红宝石9999hbs,2024至今

访问学者,美国威斯康星大学麦迪逊分校,2022-2023


教研项目及成果


科研项目

1.国家自然科学基金面上项目, 新型混合交通流环境下快速道路交互行为建模与优化控制,2025.01-2028.12, 参与

2.国家自然科学基金面上项目,面向自动驾驶环境的快速道路瓶颈路段交通流特性分析与优化方法研究,2020.01-2023.12,参与

3.国家重点研发计划,异构交通环境下交通流模型和风险评估方法研究——“混合交通流模型与风险评估判别体系”,2019.04-2021.03,参与

4.上海市科学技术委员会中外合作项目,自动驾驶环境下快速道路瓶颈路段交通流特性分析与协同优化方法研究,2019.09-2021.08,参与

5.国家自然科学基金青年项目,考虑交通事件影响的城市快速道路行程时间可靠度机理解析及改善研究,2017.01-2019.12,参与


期刊论文

1.Zhang Y., Zou Y., Xie Y., Chen L. (2024). Identifying Dynamic Interaction Patterns in Mandatory and Discretionary Lane Changes Using Graph Structure. Computer-Aided Civil and Infrastructure Engineering, 2024, 39(5): 638-655. (SCI中科院一区Top, 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(SCI中科院一区Top, IF= 8.5).

3.Zou Y., Han W., Zhang Y.*, Tang J., 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(SCI,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(SCI中科院二区,IF=3.3).

5.Zou Y., Zhu T., Xie Y., Zhang Y., Zhang Y.* (2022). Multivariate Analysis of Car-Following Behavior Data Using a Coupled Hidden Markov Model. Transportation Research Part C: Emerging Technologies, 144: 103914(SCI中科院一区Top, IF= 8.3).

6.Zhang Y., Zou Y., Wang Y., Wu L., 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.(SCI中科院二区, IF= 4.3).

7.Zhang Y., Zou Y., Tang J., Liang J. (2022). Long-term Prediction for High-Resolution Lane-Changing Data Using Temporal Convolution Network. Transportmetrica B: Transport Dynamics, 2022, 10(1): 849-863(SCI中科院二区,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(SCI,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(SCI,IF=3.9).

10.Li, Y., Li, L., Ni, D., and Zhang, Y. (2021). Comprehensive Survival Analysis of Lane-Changing Duration. Measurement, 182, 109707(SCI中科院二区,IF=5.6).

11.Zhang, Y., Zou, Y., Wu, L., Tang, J., 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, 2020:1-9(SCI,IF=2.3).

12.Tang J., Zheng L., Han C., Yin W., Zhang Y., Zou Y., Huang H. (2020). Statistical and Machine-Learning Methods for Clearance Time Prediction of Road Incidents: A Methodology Review. Analytic Methods in Accident Research, 2020: 100123(SCI中科院一区Top,IF= 12.9,ESI高被引).

 



主讲课程


学术活动与社会服务

担任SCI期刊Electronics的特刊客座编辑,多个SCI期刊(包括Accident Analysis & Prevention、Transportmetrica B: Transport Dynamics、Physica A: Statistical Mechanics and its Applications、Journal of Advanced Transportation、IEEE Open Journal of Intelligent Transportation Systems等)审稿人,交通领域顶会TRB会议论文审稿人。

荣誉

2024 同济大学优秀毕业生

2022 上海市交通工程学会科学技术二等奖

2022 博士研究生国家奖学金

2021 同济大学优秀博士奖学金

2018 长安大学优秀毕业生

2017 本科生国家奖学金