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本科:同济大学 交通工程
硕士:同济大学 交通运输规划与管理
智能汽车 规划决策算法、虚拟测试评估
同济大学优秀毕业生
同济大学优秀学生
同济大学优秀学生党员
同济大学中国路桥奖学金
中国公路学会优秀硕士学位论文
同济大学优秀硕士学位论文
第十九届国际交通科技年会(CICTP2019)最佳会议论文
“华为杯”第15、16届中国研究生数学建模竞赛二等奖
第四届“互联网+”大学生创新创意大赛上海赛区铜奖
坦诚直率
体育运动
[1] Ma Z, Xie J, Qi X, et al. Two‐dimensional simulation of turning behavior in potential conflict area of mixed‐flow intersections[J]. Computer‐Aided Civil and Infrastructure Engineering, 2017, 32(5): 412-428.
[2] Sun J, Qi X, Xu Y, et al. Vehicle turning behavior modeling at conflicting areas of mixed-flow intersections based on deep learning[J]. IEEE transactions on intelligent transportation systems, 2019, 21(9): 3674-3685.
[3] Qi X, Ye Y, Sun J. Autonomous Vehicles’ Decision-Making Behavior in Complex Driving Environments Using Deep Reinforcement Learning[M]//CICTP 2019. 2019: 5853-5864.
[4] Zhang X, Sun J, Qi X, et al. Simultaneous modeling of car-following and lane-changing behaviors using deep learning[J]. Transportation research part C: emerging technologies, 2019, 104: 287-304.
[5] Qi X, Ni Y, Xu Y, et al. Autonomous Vehicles’ Car-Following Drivability Evaluation Based on Driving Behavior Spectrum Reference Model[J]. Transportation research record, 2021, 2675(7): 129-141.
[6] 倪颖,齐骁,杭鹏,等.无保护左转环境下自动驾驶汽车交互策略分析[J].中国公路学报,2023,36(09):271-287.DOI:10.19721/j.cnki.1001-7372.2023.09.021.
[7] Liu J, Qi X, Ni Y, et al. Teaching Autonomous Vehicles to Express Interaction Intent during Unprotected Left Turns: A Human-Driving-Prior-Based Trajectory Planning Approach[J]. arXiv preprint arXiv:2307.15950, 2023.
[8] Liu J, Qi X, Hang P, et al. Enhancing Social Decision-Making of Autonomous Vehicles: A Mixed-Strategy Game Approach With Interaction Orientation Identification[J]. IEEE Transactions on Vehicular Technology, 2024.
福建省选调生