研究方向

驾驶行为建模,行驶风险评估,轨迹预测,自动驾驶测试评价

教育经历

  1. 2016.9-2019.6,博士,交通运输工程,北京工业大学,导师:刘小明,赵晓华
  2. 2013.9-2016.6,硕士,交通运输工程,北京工业大学,导师:赵晓华
  3. 2009.9-2013.6,本科,交通工程,北京工业大学

工作经历

  1. 2023.10-至今,北京工业大学,城市交通学院,讲师
  2. 2020.09-2023.09,清华大学,车辆与运载学院,博士后,合作导师:李升波
  3. 2019.07-2020.07,深圳市城市交通规划设计研究中心有限公司,工程师

项目经历

  1. 参与,2024.12 – 2025.1,北京车网科技发展有限公司,示范区自动驾驶车辆数据研究及评价体系构建项目,48.23万,结题
  2. 参与,2024.10-2027.09,2024年度京津冀基础研究合作专项,智能网联汽车环境理解与风险推演关键技术研究,60万
  3. 主持,2024.09-2024.12,中关村中汽智能网联汽车产业创新联盟,智能驾驶智算数据平台发展及标准体系研究,15万,结题
  4. 主持,2022.01-2024.12,自然科学基金青年基金项目,城市道路复杂交通环境下自动驾驶汽车行驶风险在线评估,30万,结题
  5. 参与,2019.12-2021.12,政府间国际科技创新合作(中美),自动驾驶自主决策算法研究,92万,结题
  6. 参与,2019.08-2022.07,政府间国际科技创新合作(中瑞),面向行人安全的汽车主被动协同防护技术开发,66.73万,结题
  7. 参与,2017.01-2020.12,国家自然科学基金重点项目,面向城市交通场景的自动驾驶类脑决策规划研究与验证,260万,结题
  8. 参与,2022.06-2023.06,滴滴出行有限公司,用于自动驾驶仿真的道路交通参与者建模与测试验证,30万,结题
  9. 参与,2021.12-2024.12,长安汽车股份有限公司,复杂条件下自动驾驶实时优化问题的强化学习算法开发。258万,结题
  10. 参与,2020.11-2021.06,北京宇航系统工程研究所,基于深度强化学习的飞行器轨迹优化设计,30万,结题
  11. 参与,2022.12-2025.11,国家重点研发计划子课题,开放驾驶场景理解与自主决策迭代学习,802万,结题

学术论文

一作/通讯

  1. Chen, Haolin, Xiaohua Zhao, Chen Chen*, Zhenlong Li, Haijian Li, and Qiuhong Wang. “A systematic review on test performance of the driver takeover process in automated driving.” Accident Analysis & Prevention 215 (2025): 108012.
  2. Chen, Chen, Zhipeng Liu, Weiqiang Liang, Mingming Wang, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, and Shengbo Eben Li*. “PODAR: A Collision Risk Model Offering Valid Signals for Vehicular Interactions.” IEEE Intelligent Transportation Systems Magazine (2025).
  3. 李升波 , 陈晨* , 方叙之 , 兰志前 , 吕尧 , 占国建 , 聂冰冰 , 张放 , 张德兆. 自动驾驶车辆的驾驶行为能力评估指标体系综述[J]. 中国公路学报, 2025, 38(1): 304-323 https://doi.org/10.19721/j.cnki.1001-7372.2025.01.022(Sheng-bo LI , Chen CHEN , Xu-zhi FANG , Zhi-qian LAN , Yao LYU , Guo-jian ZHAN , Bing-bing NIE , Fang ZHANG , De-zhao ZHANG. Review of Indicator Systems for Driving Behavioral Ability Evaluation of Autonomous Vehicles[J]. China Journal of Highway and Transport, 2025, 38(1): 304-323 https://doi.org/10.19721/j.cnki.1001-7372.2025.01.022)
  4. 任文浩, 赵晓华, 陈晨*, 付强. 网联碰撞预警信息系统对雾天高速公路驾驶行为的影响[J]. 华南理工大学学报(自然科学版), 2025, 53(2): 27-37.(REN Wenhao, ZHAO Xiaohua, CHEN Chen, FU Qiang. Impact of Connected Collision Warning Information System on Freeway Driving Behavior in Foggy Conditions[J]. Journal of South China University of Technology(Natural Science Edition), 2025, 53(2): 27-37.)
  5. 付强, 赵晓华, 陈晨, 初高峰. “超视距预警对混驾编队人驾领航车的安全影响.” 哈尔滨工业大学学报 57, no. 7 (2025): 52-60.
  6. Fu, Qiang, Xiaohua Zhao, Chen Chen*, and Wenhao Ren. “How predictive-forward-collision-warning reduces the collision risk of leading vehicle driver.” Accident Analysis & Prevention 211 (2025): 107891.
  7. Chen, Haolin, Xiaohua Zhao, Chen Chen*, Zhenlong Li, Haijian Li, and Jianguo Gong. “How to define the threshold of takeover response ability of different drivers in conditional automated driving.” Transportation Research Part F: Traffic Psychology and Behaviour 106 (2024): 179-198.
  8. Chen, Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, and Shengbo Eben Li. “Quantifying the individual differences of drivers’ risk perception via potential damage risk model.” IEEE Transactions on Intelligent Transportation Systems 25, no. 7 (2024): 8093-8104.
  9. Chen Chen, Guanyao Tang, Zhiqian Lan, Guojian Zhan; Shengbo Eben Li. Road Traffic Risk Spots Detection by Aggregating Potential Damage Risk using Naturalistic Driving Data. 2023 中国汽车工程学会年会论文集.
  10. Chen Chen, Zhiqian Lan, Yao Lyu, Shengbo Eben Li. Establishing a Risk Threshold-driven Driver model Using the Potential Damage Risk model. FAST-zeri’23, 2023
  11. Chen Chen, Shengbo Eben Li, Andre Wijaya, Qi Sun,  and Jianhua Jiang. “Indicators for Self-driving Algorithm Performance Evaluation”, FAST Zero’21, 2021.
  12. Chen Chen, Xiaohua Zhao, Jian Rong, Zhenlong Li, “Determination of Risky Driving Behavior Criteria using GPS data”, TRB 99th Annual Meeting: No. 20-04670. 2020.
  13. Chen, Chen, Xiaohua Zhao, Yunlong Zhang, Jian Rong, and Xiaoming Liu. “A graphical modeling method for individual driving behavior and its application in driving safety analysis using GPS data.” Transportation research part F: traffic psychology and behaviour 63 (2019): 118-134.
  14. Chen, Chen, Xiaohua Zhao, Hao Liu, Guichao Ren, Yunlong Zhang, and Xiaoming Liu. “Assessing the influence of adverse weather on traffic flow characteristics using a driving simulator and VISSIM.” Sustainability 11, no. 3 (2019): 830.
  15. Chen, Chen, Xiaohua Zhao, Hao Liu, Guichao Ren, and Xiaoming Liu. “Influence of adverse weather on drivers’ perceived risk during car following based on driving simulations.” Journal of modern transportation 27, no. 4 (2019): 282-292.
  16. Chen, Chen, Xiaohua Zhao, Yunlong Zhang, Jian Rong, and Xiaoming Liu, “A Graphical Modeling Method for Individual Driving Behavior and Its Application in Driving Safety Analysis”, TRB 98th Annual Meeting: No. 19-05938. 2019.
  17. Chen, Chen, Xiaohua Zhao, Ying Yao, Yunlong Zhang, Jian Rong, and Xiaoming Liu. “Driver’s Eco‐Driving Behavior Evaluation Modeling Based on Driving Events.” Journal of Advanced Transportation 2018, no. 1 (2018): 9530470.
  18. Chen, Chen, Xiaohua Zhao, Guichao Ren, Yunlong Zhang, Jian Rong, and Xiaoming Liu. “A Method of Combination of Driving Simulator and VISSIM to Research the Influence of Adverse Weather on Traffic Flow Characteristics”. TRB 97th Annual Meeting: No. 18-04581. 2018.
  19. 陈晨, 赵晓华, 姚莹, and 荣建. “基于出租车运行数据的北京城市快速路油耗分布特征及影响因素分析.” 北京工业大学学报 43, no. 12 (2017): 1900-1906.
  20. “Driving simulator + VISSIM simulation based traffic flow state evaluation platform for adverse weather”, ITS World Congress 2017 APTP1204.
  21. 赵晓华, 陈晨, 伍毅平, 荣建, 刘莹, 程颖, and 胡莹. “出租车驾驶员驾驶行为对油耗的影响及潜力分析.” 交通运输系统工程与信息 15, no. 4 (2015): 85-91.
  22. 陈晨, 赵晓华, 李振龙, 连培昆, and 荣建. “公交优先硬件在环测试评估平台设计.” 道路交通与安全 14, no. 3 (2014): 47-51.
  23. Zhao, Xiao Hua, Chen Chen, and Jian Rong. “Evaluation of Signal Control Strategy Based on Hardware-in-the-Loop.” In Applied Mechanics and Materials, vol. 505, pp. 1122-1126. Trans Tech Publications Ltd, 2014.

参与

  1. Li, Penghui; Yuan, Henan; Dong, Qianru; Yan, Ruidong; Dong,Chuniiao; Chen, Chen; li, shengbo Eben. Generation of High-Coverage Traffic Scenarios forEfficient Simulation Testing of Automated Driving Systems.” Transactions on Intelligent Transportation Systems. [Accepted]
  2. 李升波, 李弘扬, 赵行, 蔡英凤, 朱冰, 陶吉, 汪建球, 帅斌, 陈晨, 郜嘉鑫, 赵菲, 李杰, 刘擎超, 张培兴, 李克强. 面向端到端自动驾驶系统的多模态协同优化与训练技术演进路径. 中国科学: 技术科学, 2025, 55(10): 1638–1658. DOI: 10.1360/SST-2025-0063 (LI ShengBo, LI HongYang, ZHAO Hang, CAI YingFeng, ZHU Bing, TAO Ji, WANG JianQiu, SHUAI Bin, CHEN Chen, GAO JiaXin, ZHAO Fei, LI Jie, LIU QingChao, ZHANG PeiXing, LI KeQiang. Evolution path of multimodal collaborative optimization and training techniques for end-to-end autonomous driving systems. SCIENTIA SINICA Technologica, 2025, 55(10): 1638–1658. DOI: 10.1360/SST-2025-0063)
  3. Qin, Detong, Qingfan Wang, Quan Li, Tianle Lu, Chen Chen, Hong Wang, and Bingbing Nie. “When Do Drivers Maneuver: Experimental Investigation and Inference of Perception-Response Time for Tailored Safety Systems in Intelligent Vehicles.” IEEE Transactions on Human-Machine Systems (2025). doi: 10.1109/THMS.2025.3567611.
  4. Lan, Zhiqian, Yuxuan Jiang, Yao Mu, Chen Chen, and Shengbo Eben Li. “SEPT: Towards Efficient Scene Representation Learning for Motion Prediction.” In The Twelfth International Conference on Learning Representations.
  5. 李升波, 江昆, 田野, 陈晨, 孙剑, 杨殿阁. 汽车智能驾驶技术发展与趋势展望[J]. 前瞻科技, 2025, 4(2): 144-157.(LI Shengbo, JIANG Kun, TIAN Ye, CHEN Chen, SUN Jian, YANG Diange. Development and Outlook of Intelligent Driving Technology[J]. Science and Technology Foresight, 2025, 4(2): 144-157.)
  6. Gao, Zeyu, Yao Mu, Chen Chen, Jingliang Duan, Ping Luo, Yanfeng Lu, and Shengbo Eben Li. “Enhance sample efficiency and robustness of end-to-end urban autonomous driving via semantic masked world model.” IEEE Transactions on Intelligent Transportation Systems 25, no. 10 (2024): 13067-13079.
  7. Song, Xujie, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Chen Chen, Bo Cheng, Bo Zhang, Junqing Wei, and Xiaoming Simon Wang. “Lipsnet: a smooth and robust neural network with adaptive lipschitz constant for high accuracy optimal control.” In International Conference on Machine Learning, pp. 32253-32272. PMLR, 2023.
  8. 李升波, 占国建, 蒋宇轩, 兰志前, 张宇航, 邹文俊, 陈晨, 成波, and 李克强. “类脑学习型自动驾驶决控系统的关键技术.” 汽车工程 45, no. 9 (2023): 1499-1515.
  9. Ren, Yangang, Jianhua Jiang, Guojian Zhan, Shengbo Eben Li, Chen Chen, Keqiang Li, and Jingliang Duan. “Self-learned intelligence for integrated decision and control of automated vehicles at signalized intersections.” IEEE Transactions on Intelligent Transportation Systems 23, no. 12 (2022): 24145-24156.
  10. Cao, Wenhan, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, and Yu Wang. “Primal-dual estimator learning method with feasibility and near-optimality guarantees.” In 2022 IEEE 61st Conference on Decision and Control (CDC), pp. 4104-4111. IEEE, 2022.
  11. Yao, Ying, Xiaohua Zhao, Yunlong Zhang, Chen Chen, and Jian Rong. “Modeling of individual vehicle safety and fuel consumption under comprehensive external conditions.” Transportation Research Part D: Transport and Environment 79 (2020): 102224.

知识产权

  1. 李升波,陈晨,孙琪,聂冰冰,成波,黄健芫,李泉;一种自动驾驶汽车的行车风险计算方法及在线评估系统,发明专利,清华大学,2021.04.21,中国,ZL202110430527.8
  2. 李升波,陈晨,兰志前,占国建,朴盈汐,金东润;自动驾驶汽车大规模仿真平台,软件著作权,清华大学,2022.05.01,中国,2022SR1096429
  3. 郑四发,李升波,葛强,马海铜,陈晨;异构交通主体动力学仿真软件,软件著作权,清华大学,2021.09.22,中国,2021SR1880543
  4. 邵源,孙超,张俊峰,林培群,陈晨,严治;交通安全风险监控方法、装置、存储介质即计算机设备,发明专利,华南理工大学, 2021.10.29,中国,ZL20201075800839
  5. 赵晓华,陈晨,伍毅平,姚莹,荣建,胡红;一种面向事件的驾驶员生态驾驶行为评估方法,发明专利,北京工业大学,2019.09.10,中国,ZL201610998585.X
  6. 赵晓华,李振龙,杨旭东,荣建,关伟,陈晨;一种模块化交通信息与控制实验平台,实用新型专利,北京工业大学,2014.04.12,中国,ZL201420177348.3
  7. 赵晓华,陈晨,连培坤,李振龙;Transit-Lies公交优先信号控制策略评估系统,软件著作权,北京工业大学,2014.02.15,中国,2014SR074732

获奖情况

  1. 赵晓华,伍毅平,陈晨,姚莹,张云龙,边扬,翁剑成;面向驾驶员个体倾向的生态驾驶行为判别与差别化反馈技术及应用,中国智能交通协会,中国智能交通协会科学技术奖,三等奖,2017.
  2. 2019年,北京市,博士优秀毕业生(1人/学院)
  3. 2018年,北京工业大学,研究生科技创新奖一等奖、二等奖
  4. 2016年,北京工业大学,优秀硕士学位论文(2人/学院)、优秀毕业生(2人/学院)

标准编制

  1. 智能交通协会团体标准,张晓春、孙超、邵源、林涛、李锋、田锋、张俊峰、宋家骅、杨宇星、黎木平、吕国林、孙雁飞、徐惠农、陈晨、郭静秋、赵晓华、林钰龙、丘建栋、严治、刘杨泽西、伍毅平、郭淼、张永捷、叶卿、张凯、韩广广。基于车辆轨迹数据的汽车驾驶人驾驶行为安全性评价规范,T/CITSA 03-2020,2020.07.28.