
西汉姆联官方网站,bw必威西汉姆联官方网站,教授,2021.03—至今
宁波大学,海运公司,副教授,2019.03-2020.12
智能网联交通系统建模
自动驾驶控制
交通网络规划与管理
1.国家自然科学基金面上项目,多源扰动因素影响下智能网联车队行为协同鲁棒驾驶控制,2025-2028,项目负责人
2.国家重点研发计划课题,弹性交通系统多态演化机理与迁移特征,2021-2024,课题负责人
3.国家自然科学基金青年科学基金,面向智能网联车与人驾车混合交通流的拥堵收费模型研究. 2021-2023,项目负责人
4.交通运输部规划研究院综合交通规划数字化实验室开放课题,综合运输各方式交通阻抗函数模型及参数标定研究,2021-2023,项目负责人
5.中央高校基本科研业务费专项资金资助项目,2021-2022,项目负责人
6.地方政府和企事业单位横向课题十余项
1.Liu, Q. and Wang, J*., 2026. Aggressiveness-conservativeness trade-off in cooperative driving: An adaptive CBF approach under perception constraints. Transportation Research Part C: Emerging Technologies, 183, p.105435.
2.Ruan, T., Chen, Y., Li, X., Wang, J., Liu, Y., Wang, H. (2025). Stability analysis and controller design of the cooperative adaptive cruise control platoon considering a rate-free time-varying communication delay and uncertainties. Transportation Research Part C: Emerging Technologies, 170, p.104913.
3.Ruan, T., Chen, Y., Han, G., Wang, J., Li, X., Jiang, R., Wang, W., Wang, H. (2025). Cooperative adaptive cruise platoon controller design considering switching control and stability. Transportation Research Part C: Emerging Technologies, 172, p.105024.
4.Liu, Q., Wang, J*., Wang, W., Hua, X., Du, Y. (2024). Cooperative longitudinal driving and lane assignment strategy for left-turn connected and autonomous vehicles at signalized intersections with a contraflow left-turn lane. IEEE Transactions on Intelligent Transportation Systems, 25(11), 17614-17627.
5.Wang, L., Yang, M., Wang, J., Huang, S., Cui, S. (2024). Cooperative Control of Connected-Autonomous Electric Buses With Tradeoffs Between Energy Saving and Mobility. IEEE Transactions on Intelligent Transportation Systems.
6.Wang, J., Zhou, A., Liu, Z., Peeta, S., (2024). Robust cooperative control strategy for a platoon of connected and autonomous vehicles against sensor errors and control errors simultaneously in a real-world driving environment. Transportation Research Part B: Methodological, 184, p.102946.
7.Zhang, H., Liu, Z., Wang, J., Wu, Y., (2023). A novel flow update policy in solving traffic assignment problems: Successive over relaxation iteration method. Transportation Research Part E: Logistics and Transportation Review, 174, p.103111.
8.Wang, J*., He, X., Peeta, S*., Wang, W. (2022). Globally convergent line search algorithm with Euler-based step size-determination method for continuous network design problem. Transportation Research Part B: Methodological, 163, 119-144.
9.Wang, J., Lu, L.*, Peeta, S. (2022). Real-time deployable and robust cooperative control strategy for a platoon of connected and autonomous vehicles by factoring uncertain vehicle dynamics. Transportation Research Part B: Methodological, 163, 88-118.
10.Wang, J., Wang, W*., Ren, G., Yang, M. (2022). Worst-case traffic assignment model for mixed traffic flow of human-driven vehicles and connected and autonomous vehicles by factoring in the uncertain link capacity. Transportation Research Part C: Emerging Technologies, 140, 103703.
11.Wang, C., Peeta, S*., Wang, J*. (2021). Incentive-based decentralized routing for connected and autonomous vehicles using information propagation, Transportation Research Part B: Methodological, 149, 138-161.
12.Wang, J., Lu, L.*, Peeta, S., He, Z. (2021). Optimal toll design problems for mixed traffic flow of human-driven vehicles and connected and autonomous vehicles. Transportation Research Part C: Emerging Technologies. 125, 102952.
13.Wang, J., Peeta, S*., Lu, L., Li, T. (2019). Multiclass information flow propagation control under vehicle-to-vehicle communication environments, Transportation Research Part B: Methodological. 129, 96–121.
14.Wang, J., Gong, S., Peeta, S*., Lu, L. (2019).A real-time deployable model predictive control-based cooperative platooning approach for connected and autonomous vehicles, Transportation Research Part B: Methodological, 128, 271-301.
15.Wang, J., Peeta, S*., He, S. (2019).Multiclass traffic assignment model for mixed traffic flow of human-driven vehicles and connected and autonomous vehicles, Transportation Research Part B: Methodological, 126, 139–168.
16.Wang, J., Kim, Y.,He, X., Peeta, S*. (2018). Analytical model for information flow propagation wave under an information relay control strategy in a congested vehicle-to-vehicle communication environment, Transportation Research Part C: Emerging Technologies. 94:1-18.
17.Zhao, J*., Wang, J., Xing, Z., Luan, X., Jiang, Y. (2018). Weather and cycling: Mining big data to have an in-depth understanding of the association of weather variability with cycling on an off-road trail and an on-road bike lane. Transportation Research Part A: Policy and Practice, 111:119-135.
18.Wang, J., He, X., Peeta, S*. (2016). Sensitivity analysis based approximation models for day-to-day link flow evolution process. Transportation Research Part B: Methodological, 92, 35-53.
19.Lu, L*., Chan, C.Y., Wang, J., Wang, W. (2016). A study of pedestrian group behaviors in crowd evacuation based on an extended floor field cellular automaton model. Transportation Research Part C: Emerging Technologies, 81, 317-329.
20.Zhao, J.*, Wang, J., Deng, W. (2015). Exploring bikesharing travel time and trip chain by gender and day of the week. Transportation Research Part C: Emerging Technologies, 58, 251-264.
21.Wang, J.*, Deng, W., Guo, Y. (2014). New Bayesian combination method for short-term traffic flow forecasting. Transportation Research Part C: Emerging Technologies, 43, 79-94.
茅以升科学技术一等奖(2/15)
中国智能交通协会技术发明一等奖(4/6)
教育部科学研究优秀成果奖二等奖(5/10)
中国交通运输协会科技进步一等奖(10/15)
海外华人交通协会(COTA)最佳博士学位论文
江苏省优秀硕士学位论文
小米青年学者
《Multimodal Transportation》优秀编委奖
《人工智能基础》
《交通行为分析》博弈论部分
《读写课程》
课题组常年招收博士后及硕士、博士研究生,欢迎对自动驾驶控制、低空交通管控、人工智能与最优化理论等方向有浓厚兴趣的同学报考。申请者应具备交通工程、计算科学、控制科学与工程、电子信息、数学等相关专业背景。