个人简介

岳李圣飒，男，1992年1月生。获中佛罗里达大学、同济大学双博士学位。2022年起任同济大学交通运输工程学院助理教授。主要研究方向为智能网联车人机交互与协同、驾驶行为建模与仿真。主持美国交通部科研项目2项，国家自然科学基金1项、省部级项目2项。获上海市海外领军人才计划资助。发表SCI论文30余篇。担任Transportation Research Record、Accident Analysis and Prevention 编辑/客座编辑、美国TRB 车辆人因工程委员会委员、CAA车辆控制与智能化专业委员会委员、智能车工作委员会委员。

研究方向

智能网联车人机交互与协同、驾驶行为建模与仿真

教育经历

2017-2020  中佛罗里达大学土木工程交通专业  获博士学位

2014-2020  同济大学交通运输工程专业 获博士学位

2010-2014  同济大学交通工程专业 获学士学位

工作经历

2022 – 今  同济大学  助理教授  

2020- 2022 中佛罗里达大学 博士后研究员

学术论文

1. Yin, H., Yue, L*., Gong, Y., Li, P., & Huang, Y. (2024). Personalized lane departure warning based on non-stationary crossformer and kernel density estimation. Alexandria Engineering Journal, 109, 856-870.

2. Sun, Y., Yue, L*., Chen, Z. (2025). Over-trust Identification in Conditionally Autonomous Vehicle Using Transformer-LSTM Based on Low-interference Indicators. Annual Meeting of the Transportation Research Board, Washington D.C. (Accepted)

3. Sun, Y., Yue, L*, Sun, Y., Li, W. (2024). Adaptive Autonomous Driving Style Considering Human Trust, 8th CAA International Conference on Vehicular Control and Intelligence (CVCI). IEEE.(Accepted)

4. Zhu, Y., Yue, L*, Sun, J. (2024).Modeling the driver's lane-changing decision under the influence of the blind zone image of an intelligent vehicle: a practice based on cognitive-driven large language model, 8th CAA International Conference on Vehicular Control and Intelligence (CVCI). IEEE.(Accepted)

5. 孙剑，阳友康，岳李圣飒*，韩嘉懿，王子衿，尹恒（2024），考虑人机信任匹配的人机协同控制算法，同济大学学报
   

6. 岳李圣飒*，潘昱蓉，孙剑，朱奕昕，崔晓烨，李奕劼（2024），智能汽车变道盲区影像对驾驶员认知负荷与安全性的影响，同济大学学报
   

7. Li, P., Chen, S., Yue, L., Xu, Y., & Noyce, D. A. (2024). Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost. Accident Analysis & Prevention, 203, 107605.

8. Gao, Y., Yue, L*., Sun, J., Shan, X., Liu, Y., & Wu, X. (2024). WorkloadGPT: A Large Language Model Approach to Real-Time Detection of Pilot Workload. Applied Sciences, 14(18), 8274.

9. Zhu, Y., Yue, L*., Zhang, Q., & Sun, J. (2024). Modeling distracted driving behavior considering cognitive processes. Accident Analysis & Prevention, 202, 107602.

10. Yu, B., Gao, K., Cheng, Z., Chen, Y., & Yue, L. (2024). A Human-Like Visual Perception System for Autonomous Vehicles Using a Neuron-Triggered Hybrid Unsupervised Deep Learning Method. IEEE Transactions on Intelligent Transportation Systems.

11. Yan, Z., Yue, L*., & Sun, J. (2023). High-resolution reconstruction of non-motorized trajectory in shared space: A new approach integrating the social force model and particle filtering. Expert Systems with Applications, 233, 120753.

12. Yue, L*., Abdel-Aty, M., Zaki, M. H., Zheng, O., Wu, Y., & Yu, B. (2023). Understanding e-bicycle overtaking strategy: insights from inverse reinforcement learning modeling. Transportmetrica A: Transport Science, 1-27.

13. Zhang, D., Rao, H., Wang, J., Sun, J., & Yue, L*. (2023). Focusing on Driving Modes Rather than Drivers: Toward More Precise and Efficient Car-Following Behavior Modeling. Applied Sciences, 13(9), 5665.

14. Rao, H., Zhang, D., Qin, G., Yue, L., & Sun, J. (2023). Investigating the intra-driver heterogeneity in car following behavior based on large-scale naturalistic driving study. Transportmetrica B: Transport Dynamics, 11(1), 1363-1383.

15. Zheng, O., Abdel-Aty, M., Yue, L*., Abdelraouf,A., Wang,Z., Mahmoud,N. (2023). CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins. Transportation Research Record (In press)

16. Abdel-Aty, M., Yue, L*., Wu, Y., Zheng, O. (2022). Investigating the Effects of P2V Human-Machine Interface Design Using Driving Simulator Experiment, Transportation Research Record, 03611981221091552.

17. Yin, L., Chen, X., & Yue, L. (2022). Extracting Overtaking Segments by Unsupervised Clustering and Predicting Non-motorized Vehicle’s Trajectory, Journal of Advanced Transportation

18. Yue, L*., Abdel-Aty, M., & Wang, Z. (2022). Effects of connected and autonomous vehicle merging behavior on mainline human-driven vehicle. Journal of Intelligent and Connected Vehicles, 5(1): 36-45.

19. Wang, Z., Yue, L*., Abdel-Aty, M., Zhu, J., Zheng, O., & Zaki, M. (2022) Cooperative Driving at Non-Signalized Intersection in a Mixed Traffic Environment: A Co-Simulation Based Multi-Driver Driving Simulator Study, 101th Annual Meeting of Transportation Research Board, Washington, DC.

20. Yue, L*., Abdel-Aty, M., Wu, Y., Jorge U., & Yuan, C. (2021). Effects of Forward Collision Warning in Different Pre-Crash Scenarios. Transportation Research Part F: Traffic Psychology and Behaviour, 76, 336-352.

21. Yin, L., Chen, X., & Yue, L. (2021), Prediction of Non-Motorized Vehicle’s Overtaking Trajectory on Shared Bicycle Lane. The 100th Annual Meeting of the Transportation Research Board, Washington D.C., U.S.

22. Yuan, J., Abdel-Aty, M., Fu, J., Wu, Y., Yue, L., & Eluru, N. (2021). Developing safety performance functions for freeways at different aggregation levels using multi-state microscopic traffic detector data. Accident Analysis & Prevention, 151, 105984.
    

23. Lee, J., Mao, S., Abdel-Aty, M., Lian, Y., Yue, L., & Yun, I. (2021). Association between Truck Crashes due to Mechanical Failure and Truck Age. Journal of Advanced Transportation.

24. Yue, L*., Abdel-Aty, M. A., Wu, Y., & Yuan, J. (2020). An Augmentation Function for Active Pedestrian Safety System Based on Crash Risk Evaluation. IEEE Transactions on Vehicular Technology, 69(11), 12459-12469.

25. Yue, L*., Abdel-Aty, M., Wu, Y., Hasan, S., & Zheng, O. (2020). Identifying Pedestrian Crash Contributing Factors Using Association Analysis and Their Implications for Development of Active Pedestrian Safety System. Transportation research record, 2674(8), 861-874.

26. Yuan, J., Abdel-Aty, M. A., Yue, L., & Cai, Q. (2020). Modeling Real-Time Cycle-Level Crash Risk at Signalized Intersections Based on High-Resolution Event-Based Data. IEEE Transactions on Intelligent Transportation Systems, 22(11), 6700-6715.

27. Yue, L*., Abdel-Aty, M., Wu, Y., Yuan, J., & Morris, M. (2020). Influence of Pedestrian-to-Vehicle Technology on Drivers’ Response and Safety Benefits Considering Pre-Crash Conditions. Transportation Research Part F: Traffic Psychology and Behaviour, 73, 50-65.

28. Yue, L., Abdel-Aty, M., Wu, Y., Zheng, O., & Yuan, J. (2020). In-depth Approach for Identifying Crash Causation Patterns and Its Implications for Pedestrian Crash Prevention. Journal of Safety Research, 73, 119-132.

29. Abdelrahman, A., Abdel-Aty, M., Lee, J., & Yue, L. (2020). Evaluation of Displaced Left-Turn Intersections. Transportation Engineering, 100006.

30. Al-Omari, M. E. M. A., Abdel-Aty, M., Lee, J., Yue, L., & Abdelrahman, A. (2020). Safety Evaluation of Median U-Turn Crossover-Based Intersections. Transportation Research Record, 0361198120921158.

31. Yue, L*., Abdel-Aty, M., Wu, Y., (2019) The Practical Effectiveness of Advanced Driver Assistance Systems at Different Roadway Facilities: System Limitation, Adoption and Usage. IEEE Transactions on Intelligent Transportation Systems, 21(9), 3859-3870.

32. Yue, L*., Abdel-Aty, M., Lee, J., & Farid, A. (2019). Effects of Signalization at Rural Intersections Considering the Elderly Driving Population. Transportation Research Record, 2673(2), 743-757.

33. Wu, Y., Abdel-Aty, M., Zheng, O., Cai, Q., & Yue, L. (2019). Developing a Crash Warning System for the Bike Lane Area at Intersections with Connected Vehicle Technology. Transportation Research Record, 2673(4), 47-58.

34. Yue, L., Abdel-Aty, M., & Wu, Y. (2019). The Crash Avoidance Effectiveness of Advanced Driver Assistance Systems in Real-World Environment. In International Conference on Transportation and Development 2019: Smarter and Safer Mobility and Cities (pp. 41-51). Reston, VA: American Society of Civil Engineers.

35. Yue, L*., Abdel-Aty, M., Wu, Y., & Wang, L. (2018). Assessment of the Safety Benefits of Vehicles’ Advanced Driver Assistance, Connectivity and Low-Level Automation Systems. Accident Analysis & Prevention, 117, 55-64.
    

36. Chen, X., Yue, L*., & Han, H. (2018). Overtaking Disturbance on a Moped-Bicycle-Shared Bicycle Path and Corresponding New Bicycle Path Design Principles. Journal of Transportation Engineering, Part A: Systems, 144(9), 04018048.

37. Yue, L., Abdel-Aty, M., & Wang, L. (2018). Assessment of The Safety Benefits of Connected Vehicle Technologies. The 97th Annual Meeting of the Transportation Research Board, Washington D.C., U.S.

科研项目

国际期刊审稿人

• IEEE Transactions on Intelligent Vehicles

• IEEE Signal Processing Letters

• IEEE Vehicular Technology Magazine

• IEEE Transactions on ITS

• IEEE Transactions on Affective Computing

• Transport Policy

• Transportation Research Part A: Policy and Practice

• Sensors

• IET Intelligent Transport Systems

• Journal of Intelligent Transportation Systems: Technology, Planning, and Operations

• Journal of Transportation Engineering, Part A: Systems

• Journal of Safety Research

• Journal of Transportation Safety & Security

• Journal of Advanced Transportation

• Transportation Injury Prevention

• Accident Analysis and Prevention

• Transportation Research Record

招生信息

（1）欢迎具有控制、心理学、计算机、交通等学科背景的同学报考

（2）欢迎具有一定编程能力（Python/Matlab/C#/C++）的同学报考

导师资源

（1）你肯学，我手把手教，根据你的人生阶段性目标设计培养路线，支持你实现人生理想

（2）国外优质学术网络，可帮助有出国意愿的同学进入一流国外学府。

（3）主持人机交互实验室建设，打造面向学术前沿与业界需求的一流的实验条件，支持你做先进的研究

学生获奖

2024 金砖国家工业创新大赛人工智能大模型赛道铜奖，作品：大模型支持下的智能座舱盲区影像显示优化

2023 全国交通科技大赛一等奖，作品：强交互场景下驾驶行为的情绪影响机制及AEB应用

2023 同济大学交通科技大赛三等奖，作品：人机共驾中系统信任度动态估计