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孙杰，男，1992年9月生，长聘副教授，国家优秀青年基金（海外）获得者。2019年博士毕业于同济大学交通运输工程学院，先后于澳大利亚昆士兰大学、香港科技大学从事博士后研究工作。主要研究领域为交通流理论与仿真、智能网联汽车、数据驱动的交通流建模等。在Transportation Research Part B/C、IEEE T-ITS等交通领域顶级期刊和国际会议共发表高质量论文30余篇。获海外华人交通协会（COTA）优秀博士论文奖、同济大学优秀博士论文奖等奖项。先后入选国家自然基金委优秀青年基金项目（海外）、上海领军人才（海外）计划。担任Communications in Transportation Reseach青年编委、WTC人工智能与交通管理服务技术委员会委员。
Jie Sun*, Jiwon Kim, 2024. Modelling two-dimensional driving behaviours at unsignalised intersection using multi-agent imitation learning. Transportation Research Part C: Emerging Technologies 165, 104702.
Jie Sun*, Hai Yang, 2024. Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning. Transportation Research Part C: Emerging Technologies 160, 104530.
Xiaohui Zhang, Jie Sun*, Zuduo Zheng, Jian Sun*, 2024. On the string stability of neural network-based car-following models: A generic analysis framework. Transportation Research Part C: Emerging Technologies 160, 104525.
Jie Sun*, Jiwon Kim, 2023. Toward data-driven simulation of network-wide traffic: A multi-agent imitation learning approach using urban vehicle trajectory data. IEEE Transactions on Intelligent Transportation Systems.
Jie Sun, Zuduo Zheng, Anshuman Sharma, Jian Sun, 2023. Stability and extension of a car-following model for human-driven connected vehicles. Transportation Research Part C: Emerging Technologies 155, 104317.
Xiaohui Zhang, Jie Sun, Yunpeng Wang, Jian Sun, 2023. A hierarchical framework for multi-lane autonomous driving based on reinforcement learning. IEEE Open Journal of Intelligent Transportation Systems 4, 626-638.
Jie Sun, Zuduo Zheng, Jian Sun, 2023. Stability evolution of car-following models considering asymmetric driving behaviour. Transportation Research Record 2677(8), 361–371.
Yingjun Ye, Jie Sun, Jian Sun, 2023. Car-following characteristics of commercially available adaptive cruise control systems and their comparison to human drivers. Transportation Research Record 2677 (2), 1401-1414.
Jie Sun, Jiwon Kim, 2021. Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks. Transportation Research Part C: Emerging Technologies 128, 103114.
Dongyao Jia, Jie Sun, Anshuman Sharma, Zuduo Zheng, Bingyi Liu, 2021. Integrated simulation platform for conventional, connected and automated driving: A design from cyber-physical systems perspective. Transportation Research Part C: Emerging Technologies 124, 102984.
Jie Sun, Zuduo Zheng, Jian Sun, 2020. The relationship between car following instability and traffic oscillations in finite-sized platoons and its use in easing traffic congestion with connected and automated vehicles. Transportation Research Part B: Methodological 142, 58-83.
Xiaoyun Chen, Jian Sun, Zian Ma, Jie Sun, Zuduo Zheng, 2020. Investigating the long and short-term driving characteristics and incorporating them into car-following models. Transportation Research Part C: Emerging Technologies 117, 102698.
Xiaohui Zhang, Jie Sun, Xiao Qi, Jian Sun, 2019. Simultaneous modeling of car-following and lane-changing behaviors using deep learning. Transportation Research Part C: Emerging Technologies 104, 287-304.
Jie Sun, Zuduo Zheng, Jian Sun, 2018. Stability analysis methods and their applicability to car-following models in conventional and connected environments. Transportation Research Part B: Methodological 109, 212-237.
Xiuling Huang, Jie Sun, Jian Sun, 2018. A car-following model considering asymmetric driving behavior based on long short-term memory neural networks. Transportation Research Part C: Emerging Technologies 95, 346-362.
Jie Sun, Jian Sun, 2016. Real-time crash prediction on urban expressways: identification of key variables and a hybrid support vector machine model. IET Intelligent Transport Systems 10(5), 331-337.
Jie Sun, Jian Sun, 2015. A dynamic Bayesian network model for real-time crash prediction using traffic speed conditions data. Transportation Research Part C: Emerging Technologies 54, 176-186.
Jie Sun, Zhipeng Li, Jian Sun, 2015. Study on traffic characteristics for a typical expressway on-ramp bottleneck considering various merging behaviors. Physica A: Statistical Mechanics and its Applications 440, 57-67.
Jian Sun, Jie Sun, Peng Chen, 2014. Use of support vector machine models for real-time crash risk prediction on urban expressways. Transportation Research Record 2432, 91-98.
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同济大学