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孙剑 教授/博导

孙剑 教授/博导

性别 男 出生年月 1979-01
最终学历 博士 职称 教授/博导
电话 021-69583650 E-mail sunjian@tongji.edu.cn

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个人简介

  孙剑，男，山东齐河人，1979年1月生。2006年毕业于同济大学交通运输工程学院，同年留校任教。2011年由讲师直接破格晋升教授，现为同济大学交通工程系主任，教授，博士生导师。主要研究领域为交通流理论与仿真、智能交通、自动驾驶与车路协同等。近年来，主持国家重点研发计划项目/课题2项，国家自然科学基金7项、其他研究课题50余项。研究成果发表学术论文190余篇，其中SCI收录130余篇，EI收录50余篇。出版专著4部，主参编省部级规范3部，获授权发明专利50项。主持的研究成果获省部级科学技术一等奖2项、二等奖1项。

  孙剑教授兼任《 IET Intelligent Transportation Systems》、《Journal of Intelligent and Connected Vehicles》 以及《中国公路学报》、《同济大学学报》等6本国内外期刊副主编 (AE)/编委；也是中国系统仿真学会交通建模与仿真专委会副主任等；并先后入选国家自然基金委优秀青年基金、教育部青年长江学者、国家自然基金委杰出青年基金等项目和人才计划。

主要研究方向

交通流理论，交通仿真，智能交通，自动驾驶与车路协同

承担课程

本科专业课程： 交通工程、智能车路系统

研究生专业课程：交通流理论与仿真分析、智能交通与自动驾驶

纵向科研课题

作为负责人主持的主要科研课题：

  1. 国家自然科学基金杰出青年基金（52125208）：交通系统建模与优化，2022-2025.

  2. 国家自然科学基金重点项目（52232015）：自动驾驶在线测试理论与共性关键技术测评，2023-2027.

  3. 国家重点研发计划项目（2023YFB4301900），自主式交通系统计算技术，2024-2026.

  4. 上海市科技创新行动计划(23DZ1203400)，基于多模态传感的自动驾驶关键技术及应用示范，2024-2026.

  5. 上海市科委项目（22dz1203200）：城市交通系统研策宏中微全过程多态推演技术，2022-2025.

  6. 中央高校学科交叉重点项目（2022-5-ZD-02）：人机混驾群集智能理论与方法，2022-2024.

  7. 中国汽研：自动紧急制动系统在雨、雾环境中测试评价技术研究，2023-2024.

  8. 重庆市科技攻关项目：智能汽车自动化测试评价技术与软件开发,2023-2025.

  9. 华为公司：故障注入加速测试技术，2022-2023.

  10. 华为公司：驾驶人模型建模研究，2022-2023.

  11. 国家重点研发计划（2018YFB1600505）：车路协同一体化仿真与典型场景测试验证，2019-2022.

  12. 国家自然科学基金重点项目（U1764261）：智能汽车路径规划与自主决策理论及关键技术，2018-2021.

  13. 上海市曙光计划（18SG21）：智能网联汽车环境下交通流建模与仿真，2018-2021.

  14. 商汤科技：路网全量车辆出行路径重构，2021-2022

  15. 之江实验室：复杂交通环境下“自动驾驶能力”评价技术,2021-2022

  16. 宇通汽车：驾驶行为特征挖掘与纵向控制算法研发，2019-2020

  17. 上汽集团：基于智能优化算法交通参与者模拟干扰方法研究，2019-2020

  18. 华为公司：智能汽车危险工况测试技术研究（二期），2019-2020

  19. 华为公司：智能汽车仿真测试创新实验室，2019-2021

  20. 华为公司：车路协同价值应用场景研究及价值评估，2019-2020

  21. 腾讯公司：虚拟交通流模型集成研究，2019-2020

  22. 腾讯公司：自然驾驶交通场景自动提取与分类研究，2019-2020

  23. 德国大陆：自动驾驶安全性测试场景自动提取与场景重构研究，2019-2020

  24. 百度公司：智能汽车虚拟测试交通流仿真模型，2018-2019

  25. 国家自然科学基金（51422812）：交通系统仿真与实验，2015-2017.

  26. 51VR：自动驾驶测试典型危险工况仿真技术，2017-2018

  27. 德国PTV公司：智能汽车虚拟测试与人工智能训练方法研究，2017-2018

  28. 华为公司：智能汽车危险工况测试技术研究，2017-2018.

  29. 上海国际汽车城：智能汽车自我学习与人工智能训练系统，2017-2018

  30. 上海国际汽车城：智能汽车驾驶场景库分析与加速测试方法，2017-2018

  31. 上海市科委国际科技合作项目（16510711400）：面向智能汽车快速测试与自我学习的交通仿真系统研究，2016-2019.

  32. 上海市科委攻关项目（16DZ1203602）：中心城区交通拥堵节点仿真诊断决策系统与联动控制技术研究，2016-2018

  33. 德国PTV公司：高可信度交通仿真关键技术研究，2016-2017

  34. 滴滴大数据研究院：基于新型数据源的交叉口交通状态估计与控制优化研究，2016-2017

  35. 上海国际汽车城：面向智能网联汽车快速测试的虚拟仿真平台研究，2016-2017

  36. 国家自然科学基金（51278362）：城市快速路多瓶颈点阻塞判别及演化机理研究，2013-2016

  37. 中央高校交叉学科重点项目：基于大数据的出行行为时空轨迹计算与深度挖掘，2015-2016

  38. 国家自然科学基金（61004113）：车路协调环境下交通流多车协同建模、实验及仿真，2011-2013

  39. 国家自然科学基金（50948056）：AVI设施布局优化与动态OD估计新方法研究，2010-2011

  40. 教育部新世纪人才课题（NCET13-0425）:城市快速路主动交通管理理论及平行试验,2013-2015

  41. 国家科技支撑计划：高风险路段安全提示技术与设施开发（2014BAG01B01）；2014-2017

  42. 江苏省现代城市交通协同创新中心：城市快速交通流运行风险分析理论,2011-2013

  43. 上海市城乡建设与交通发展研究院：上海市快速路通行能力研究,2010-2011

  44. 深圳市工程研究中心：深圳市中心区交通控制与仿真关键技术研究,2010-2012

  45. 上海市综合交通研究所：虹桥综合交通枢纽后评估研究,2011

  46. 上海市自然科学基金(07ZR14120)：信息化环境下交通系统建模及仿真研究,2008-2010

  47. 教育部博士点新教师基金(200802471072)：交通系统多分辨率建模及仿真策略研究，2008-2010

  48. 中央高校基本科研业务费：车联网环境下新一代仿真模型探索研究，2008-2010

  49. 中央高校基本科研业务费：城市交通控制系统“硬件在环”仿真平台设计，2008-2010

  50. 上海市杨浦区建设与交通委员会:杨浦区停车诱导、行车诱导一期、二期、三期工程规划及实施,2007-2010

  51. 陆家嘴金融贸易区管理委员会：陆家嘴金融城停车引导工程，2009

  52. 上海市综合交通研究所：世博公交优先示范工程控制策略仿真评价，2009

  53. 上海市综合交通研究所：世博园区典型交通设施仿真研究，2008

  54. 上海市综合交通研究所：虹桥综合交通枢纽行人仿真研究，2008

  55. 杭州市综合交通研究中心：杭州市武林门地区交通仿真研究，2007

参与的主要科研课题：

  1. 国家863项目：大城市区域交通协同联动控制关键技术

  2. 国家863项目：基于视频的交叉口交通状态全息检测技术

  3. 国家863项目：区域交通系统状态特征提取与集成技术

  4. 国家科技支撑计划：城市道路交叉口交通安全保障技术

  5. 国家自然科学基金：行人过街心理及行为研究

  6. 国家自然科学基金：城市交通网络优化与管理

  7. 杭州市建委重点项目：杭州市智能交通信息平台一期工程实施方案设计

  8. 深圳市政府重点项目：深圳市城市交通仿真系统

横向咨询课题

负责或参加城市综合交通规划、专项（道路、公交、慢行、停车）规划、大型综合体交通影响分析、交叉口规划设计、交通仿真分析、行人交通仿真、智能交通系统规划设计等咨询课题50余项。

学术论文

在国内外期刊及重要会议发表论文190余篇，其中论文SCI收录 130余篇，EI收录50余篇。

2015年后发表主要论文如下：

  • 国际期刊论文

  1. Zhang H, Sun J, Tian Y (2023) Accelerated Risk Assessment for Highly Automated Vehicles: Surrogate-based Monte Carlo Method,IEEE Transactions on Intelligent Transportation Systems. Doi:10.1109/TITS.2023.3335104

  2. Jiaqi Liu , Donghao Zhou , Peng Hang , Ying Ni , jian Sun. Towards Socially Responsive Autonomous Vehicles: A Reinforcement Learning Framework with Driving Priors and Coordination Awareness. IEEE Transactions on Intelligent Vehicles 2023, Doi: 10.1109/TIV.2023.3332080

  3. Nie, T., Qin, G., Wang, Y., & Sun, J. Towards better traffic volume estimation: Jointly addressing the under-determination and non-equilibrium problems with correlation-adaptive GNNs. Transportation Research Part C 157 (2023) 104402. https://doi.org/10.1016/j.trc.2023.104402.

  4. Jie Sun, Zuduo Zheng, Anshuman Sharma, Jian Sun. Stability and extension of a car-following model for human-driven connected vehicles. Transportation Research Part C 155 (2023) 104317.https://doi.org/10.1016/j.trc.2023.104317.

  5. He Zhang, Jian Sun, Ye Tian, Accelerated Safety Testing for Highly Automated Vehicles: Application and Capability Comparison of Surrogate Models. IEEE Transactions on Intelligent Vehicles 2023, Doi:10.1109/TIV.2023.3319158

  6. X. Zhang, J. Sun, Y. Wang and J. Sun, "A Hierarchical Framework for Multi-Lane Autonomous Driving Based on Reinforcement Learning," in IEEE Open Journal of Intelligent Transportation Systems, vol. 4, pp. 626-638, 2023, Doi: 10.1109/OJITS.2023.3300748.

  7. Jianqiang Li, Ying Ni, Jian Sun, A two-layer integrated model for cyclist trajectory prediction considering multiple interactions with the environment, Transportation Research Part C: Emerging Technologies, Volume 155, 2023，Doi: 10.1016/j.trc.2023.104304.

  8. Qiubing Chen, He Zhang, Huajun Zhou, Jian Sun, Ye Tian. Adaptive Design of Experiments for Fault Injection Testing of Highly Automated Vehicles. IEEE Intelligent Transportation Systems Magazine.ITSM-23-04-0144

  9. Jibiao Zhou, Zewei Li, Sheng Dong, Jian Sun, Yibin Zhang, Visualization and bibliometric analysis of e-bike studies: A systematic literature review (1976–2023), Transportation Research Part D: Transport and Environment, 2023, Doi: 10.1016/j.trd.2023.103891.

  10. 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.

  11. Nie, T., Qin, G., Wang, Y., & Sun, J. (2023). Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach. Transportation Research Part C: Emerging Technologies 152, 104190, https://doi.org/10.1016/j.trc.2023.104190.

  12. 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.

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

  14. J. Zhao, V. L. Knoop, J. Sun, Z. Ma and M. Wang, "Unprotected Left-Turn Behavior Model Capturing Path Variations at Intersections," IEEE Transactions on Intelligent Transportation Systems, 2023, doi: 10.1109/TITS.2023.3270962.

  15. X Hu, Z Zheng, D Chen, J Sun, Autonomous Vehicle’s Impact on Traffic: Empirical Evidence From Waymo Open Dataset and Implications From Modelling, IEEE Transactions on Intelligent Transportation Systems, DOI:10.1109/TITS.2023.3258145

  16. Huang Y, Ye Y, Sun J, Tian Y* (2023), Characterizing the Impact of Autonomous Vehicles on Macroscopic Fundamental Diagrams, IEEE Transactions on Intelligent Transportation Systems, Doi:10.1109/TITS.2023.3265647

  17. X Chen, J Yin, G Qin, K Tang, Y Wang, J Sun. Integrated macro-micro modelling for individual vehicle trajectory reconstruction using fixed and mobile sensor data. Transportation Research Part C: Emerging Technologies 145, 103929

  18. Guoyang Qin, Jian Sun. Ride-hail to ride rail: Learning to balance supply and demand in ride-hailing services with intermodal mobility options, Transportation Research Part C 143 (2022)

  19. Xianghua, Yu, Yibing Wang & Jian Sun et al, Macroscopic Traffic Flow Modelling of Large-Scale Freeway Networks with Field Data Verification: State-of-the-art Review, Benchmarking Framework, and Case Studies using METANET. Transportation Research Part C 143 (2022)

  20. Donghao Zhou, Zian Ma, Xiaocong, Zhao, Jian Sun. Reasoning Graph: A Situation-aware Framework for Cooperating Unprotected Turns Under Mixed Connected and Autonomous Traffic Environments. Transportation Research Part C 143 (2022) 103815, https://doi.org/10.1016/j.trc.2022.103815.

  21. Shao Y, Sun J, Kan Y, Tian Y* (2022) Operation of Dedicated Lanes with Intermittent Priority on Highways: Conceptual Development and Simulation Validation,Journal of Intelligent TransportationSystems.doi:10.1080/15472450.2022.2101110

  22. Zheng Li,Ye Tian,Jian Sun,Xi Lu,Yuheng Kan. Simulation-based optimization of large-scale dedicated bus lanes allocation: Using efficient machine learning models as surrogates. Transportation Research Part C 143 (2022) 103827, https://doi.org/10.1016/j.trc.2022.103827.

  23. Yingjun Ye, Jie Sun, Jian Sun. Car-following characteristics of commercially available adaptive cruise control systems and their comparison to human drivers.Transportation Research Record: The Journal of the Transportation Research Board.

  24. Yiyun Wang, Rongjie Yu, Shuhan Qiu, Jian Sun and Haneen Farah. Safety Performance Boundary Identification of Highly Automated Vehicles: A Surrogate Model-based Gradient Descent Searching Approach. IEEE Transactions of Intelligent Transportation Systems.

  25. Tong Nie, Guoyang Qin, Jian Sun.Truncated tensor Schattenp-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns, Transportation Research Part C 141 (2022) 103737,https://doi.org/10.1016/j.trc.2022.103737.

  26. Ye Tian, Yudi Li, Jian Sun. Stick or carrot for traffic demand management? Evidents from an experimental experiment, Transportation Research Part A: Policy and Practice. Volume 160, 2022, Pages 235-254, https://doi.org/10.1016/j.tra.2022.04.010.

  27. Han Liu, Jian Sun*. An Exploration of Data-Driven Microscopic Simulation for Traffic System and Case Study of Freeway, Transportmetrica B: Transport Dynamics, 10.1080/21680566.2022.2064361

  28. Donghao Zhou, Zian Ma, Xiaohui Zhang, Jian Sun. Autonomous Vehicles’ Intended Cooperative Motion Planning for Unprotected Turning at Intersections. IET Intelligent Transport Systems. DOI: 10.1049/itr2.12195

  29. Xuejian Chen, Juyuan Yin, Keshuang Tang, Ye Tian, Jian Sun*.Vehicle Trajectory Reconstruction at Signalized Intersections Under Connected and Automated Vehicle Environment, IEEE Transactions of Intelligent Transportation Systems. https:// doi: 10.1109/TITS.2022.3150577

  30. Sun J, Zhou H, Xi H, Zhang H, Tian Y, Adaptive Design of Experiments for Safety Evaluation of Automated Vehicles, IEEE Transactions of Intelligent Transportation Systems. https:// doi: 10.1109/TITS.2021.3130040

  31. Sun J, Zhang H, Tian Y, Scenario-Based Test Automation for Highly Automated Vehicles: A Review and Paving the Way for Systematic Safety Assurance, IEEE Transactions of Intelligent Transportation Systems. https:// doi: 10.1109/TITS.2021.3136353

  32. Xiangwang Hu, Zuduo Zheng, Danjue Chen, Xi Zhang, Jian Sun, Processing, assessing, and enhancing the Waymo autonomous vehicle open dataset for driving behavior research, Transportation Research Part C: Emerging Technologies, Volume 134, 2022, 103490,https://doi.org/10.1016/j.trc.2021.103490.

  33. Duo Zhang, Xiaoyun Chen, Junhua Wang, Yinhai Wang, Jian Sun. A comprehensive comparison study of four classical car-following models based on the large-scale naturalistic driving experiment, Simulation Modelling Practice and Theory, 2021, 102383, https://doi.org/10.1016/j.simpat.2021.102383.

  34. Guoyang Qin, Qi Luo, Yafeng Yin, Jian Sun, Jieping Ye, Optimizing matching time intervals for ride-hailing services using reinforcement learning, Transportation Research Part C: Emerging Technologies, Volume 129, 2021, 103239, https://doi.org/10.1016/j.trc.2021.103239.

  35. Fu Q, Tian Y*, Sun J. (2021) Modeling and Simulation of Dynamic Lane Reversal Using a Cell Transmission Model, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations (doi: 10.1080/15472450.2021.1973898)

  36. Lin X, Wu J, Tian Y*, Sun J, Lei C, Fang Y. (2021) Optimizing Budget Allocation for Incentive-Based Active Travel Demand Management Solutions, Transportation Research Record (doi:10.1177/03611981211025512)

  37. Tian Y, Li Y, Sun J, Ye J* (2021) Characterizing the Effect of Monetary Incentives on App Usage and Departure Time Choice, Transport Policy 105, 94-102. (doi: 10.1016/j.tranpol.2021.03.003)

  38. Yumin Cao, Keshuang Tang, Jian Sun, Yangbeibei Ji, Day-to-day dynamic origin–destination flow estimation using connected vehicle trajectories and automatic vehicle identification data, Transportation Research Part C: Emerging Technologies, Volume 129, 2021, https://doi.org/10.1016/j.trc.2021.103241.

  39. Yixin Li, Ying Ni, Jian Sun. A modified social force model for high-density through bicycle flow at mixed-traffic intersections, Simulation Modelling Practice and Theory, Volume 108, 2021,102265.

  40. Jie Sun, Zuduo Zheng, Jian Sun. The relationship between car following string instability and traffic oscillations in finite-sized platoons and its use in easing congestion via connected and automated vehicles with IDM based controller. Transportation Research Part B, 2020.

  41. Zhang H, Sun J, Tian Y. (2020), The impact of socio-demographic characteristics and driving behaviors on fuel efficiency. Transportation Research Part D: Transport and Environment 88:102565 (doi:10.1016/j.trd.2020.102565)

  42. Chen X, Sun J*, Ma Z, et al. Investigating the long-and short-term driving characteristics and incorporating them into car-following models[J]. Transportation Research Part C: Emerging Technologies, 2020, 117: 102698.

  43. Tang, K., Cao, Y., Chen, C., Yao, J., Tan, C., & Sun, J*. (2020). Dynamic origin‐destination flow estimation using automatic vehicle identification data: A 3D convolutional neural network approach. Computer Aided Civil and Infrastructure Engineering. 2020;1–17. https://doi.org/10.1111/mice.12559

  44. Xiaoyun Chen, Tienan Li, Zian Ma, and Jian Sun*. Integrated Mainline and Ramp Signal Control for Expressway On-ramp Bottleneck with Unequal Lane-setting. Journal of Intelligent Transportation Systems (2020): 1-16.

  45. Keshuang Tang, Chaopeng Tan, Yumin Cao, Jiarong Yao, Jian Sun*. A Tensor Decomposition Method for Cycle-based Traffic Volume Estimation Using Sampled Vehicle Trajectories, Transportation Research Part C: Emerging Technologies, 118 (2020): 102739.

  46. Jian Sun, Jiyan Wu, Feng Xiao, Xiangdong Xu, Ye Tian. Managing Bottleneck Congestion with Incentives. Transportation Research Part B, 134 (2020) 143–166

  47. Tian, Y, Chiu, Y.-C, Sun, J., Chai, C., Sunsetting Skim Matrices: A Trajectory-Mining Approach to Derive Travel Time Skim Matrix in Dynamic Traffic Assignment for Activity-base Model Integration, Journal of Transport and Land Use.

  48. Song, Z., H. Wang, J. Sun and Y. Tian (2020). Evaluating Environmental and Safety Impact Using Micro-Simulations: Experimental Findings with VISSIM and TransModeler, Transportation Research Record, 2674 (8), 566-580 , doi:10.1177/0361198120925077

  49. Qiyuan Liu; Jian Sun, Ye Tian, lu xiong, Modeling and Simulation of Overtaking Events by Heterogeneous Non-Motorized Vehicles on Shared Roadway Segments. Simulation Modelling Practice and Theory, 2020, 95: 16-35.

  50. Yuheng Kan, Yibing Wang, Dianhai Wang, Jian Sun, Chunfu Shao. A Novel Approach to Estimating Missing Pairs of On/Off Ramp Flows. IEEE Transactions on intelligent transportation systems. DOI: 10.1109/TITS.2019.2954937.

  51. Chaopeng Tan, Jiarong Yao, keshuang Tang, Jian Sun. Cycle-based Queue Length Estimation for Signalized Intersections Using Sparse Vehicle Trajectory Data，IEEE Transactions on intelligent transportation systems. DOI: 10.1109/TITS.2019.2954937.

  52. Donghao Zhou, Zian Ma, Jian Sun. Autonomous Vehicles’ Turning Motion Planning in Conflict Area of Mixed-Flow Intersections, IEEE Transactions on intelligent vehicles. DOI: 10.1109/TIV.2019.2955854

  53. Jian Sun, He Dong, Guoyang Qin, Ye Tian. Quantifying the Impact of Rainfall on Taxi Hailing and Operation. Journal of Advanced Transportation. DOI: 10.13140/RG.2.2.18124.56964.

  54. Jian Sun, Xiao Qi, Yiming Xu, Ye Tian. The Vehicle Turning Behavior Modeling at Conflicting Areas of Mixed-Flow Intersections Based on Deep Learning, IEEE Transactions on intelligent transportation systems. DOI: 10.1109/TITS.2019.2931701.

  55. Yingjun Ye, Xiaohui Zhang, Jian Sun. Automated Vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment, Transportation Research Part C: Emerging Technologies, 107 (2019) 155–170.

  56. Jiarong Yao, Fuliang Li, Keshuang Tang, Jian Sun, Sampled Trajectory Data-Driven Method of Cycle-Based Volume Estimation for Signalized Intersections by Hybridizing Shockwave Theory and Probability Distribution, IEEE Transactions on intelligent transportation systems, DOI:10.1109/TITS.2019.2921478.

  57. Yudi Li, Lei Zhu, Jian Sun, and Ye Tian, Generating a Spatiotemporal Dynamic Map for Traffic Analysis Using Macroscopic Fundamental Diagram, Journal of Advanced Transportation, https://doi.org/10.1155/2019/9540386

  58. Ye Tian, Yi-Chang Chiu, Jian Sun, Understanding behavioral effects of tradable mobility credit scheme: An experimental economics approach, Transport Policy, 2019, https://doi.org/10.1016/j.tranpol.2019.05.019.

  59. Xiaohui Zhang, Jie Sun, Xiao Qi, Jian Sun, Simultaneous modeling of car-following and lane-changing behaviors using deep learning, Transportation Research Part C: Emerging Technologies, Volume 104 2019, Pages 287-304.

  60. Sun J, Liu H, Ma Z. Modelling and simulation of highly mixed traffic flow on two-lane two-way urban streets. Simulation Modelling Practice and Theory, 2019, 95: 16-35.

  61. Sun, S., Chen, J., & Sun, J. (2019). Traffic congestion prediction based on GPS trajectory data. International Journal of Distributed Sensor Networks. https://doi.org/10.1177/1550147719847440

  62. Hu, X., Sun, J.*, 2019. Trajectory optimization of connected and autonomous vehicles at multilane freeway merging area. Transportation Research Part C: Emerging Technologies, 101, 111-125.

  63. Liu, Q., Sun, J., Tian, Y. Modelling and Simulation of Non-motorized Vehicles’ Dispersion at Mixed Flow Intersections. Journal of Advanced Transportation, https://doi.org/10.1155/2019/9127062

  64. Han, D., Chen, J., & Sun, J., 2019. A parallel spatiotemporal deep learning network for highway traffic flow forecasting. International Journal of Distributed Sensor Networks. https://doi.org/10.1177/1550147719832792

  65. Qin, G., Huang, Z., Xiang, Y., Sun, J.*, 2019. ProbDetect: A choice probability-based taxi trip anomaly detection model considering traffic variability. Transportation Research Part C: Emerging Technologies, 98, 221-238.

  66. Huang, X., Sun, J., Sun, J.*, 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.

  67. Wu, L., Sun, J.*, Li, T. Relationship of Lane Width to Safety for Urban Expressways in Shanghai. Journal of Transportation Engineering, Part A: Systems. https://doi.org/10.1061/JTEPBS.0000216.

  68. Shan, G., Huang, Z., Chen, J., Sun, J. TRec: An Efficient Recommendation System for Hunting Passengers with Deep Neural Networks. Neural Computing and Applications. https://doi.org/10.1007/s00521-018-3728-2

  69. Xu, Y., Zou, Y., Sun, J.*, Accelerated Testing for Automated Vehicles Safety Evaluation Based on Importance Sampling, Genetic Algorithm and Simulation Applications, Journal of Intelligent and Connected Vehicles. 2018, 1(1): 28-38.

  70. Sun, J.*, Zuo, K., Jiang, S., Zheng, Z., Modeling and predicting stochastic merging behaviors at freeway on-ramp bottlenecks, Journal of Advanced Transportation. https://doi.org/10.1155/2018/9308580.

  71. Yin, J., Sun, J.*, Tang, K. A Kalman Filter Based Queue Length Estimation Method with Low-Penetration Mobile Sensor Data at Signalized Intersections, Transportation Research Record. 2018, 2672(45): 253-264.

  72. Zhang, H., Sun, J., et al. 2018. Adaptive Consensus-based Distributed Target Tracking with Dynamic Cluster in Sensor. IEEE Transactions on Cybernetics, PP(99): 1-12.

  73. Sun, J.*, Xu, Y., Ma. Z., 2018. Simulation of Turning Vehicles’ Behaviors at Mixed-flow Intersections Based on Potential Field Theory. Transportmetrica B: Transport Dynamics, 1-21.

  74. Sun, J., Zheng, Z., Sun, J., 2018. Stability Analysis Methods and Their Applicability to Car-Following Models in Conventional and Connected Environments. Transportation Research Part B, Volume 109, Pages 212-237.

  75. Sun, J.*, Li, T., Yu, M., Zhang, H. M., 2018. Exploring the Congestion Pattern at Long-Queued Tunnel Sag and Increasing the Efficiency by Control. IEEE Transactions on intelligent transportation systems. DOI: 10.1109/TITS.2017.2780103.

  76. Chen, P., Cong, Y., Sun, J.*, Wang, Y., 2018. Dynamic Eco-Driving Speed Guidance at Signalized Intersections: Multi-Vehicle Driving Simulator based Experimental Study, Journal of Advanced Transportation.

  77. Li Z., Qin Q., Li, W., Xu, S., Qian, Y., Sun, J.*, 2018. Stabilization Analysis and Modified KdV Equation of a Car Following Model with Consideration of Self-Stabilizing Control in Historical Traffic Data. Nonlinear Dynamics. DOI: 10.1007/s11071-017-3934-y.

  78. Sun, J.*, Ma. Z., Chen X., 2017. Some Observed Details of Traffic Flow Phase Transition at Urban Expressway Off-Ramp Bottlenecks in Shanghai. Transportmetrica B: Transport Dynamics , DOI: 10.1080/21680566.2017.1336127

  79. Qin, G., Li, T., Yu, B., Wang, Y., Huang, Z., Sun, J., 2017. Mining Factors Affecting Taxi Drivers’ Incomes Using GPS Trajectories. Transportation Research Part C: Emerging Technologies 79, 103-118.

  80. Ma, Z., Xie, J., Qi, X., Xu, Y., Sun, J., 2017. Two-Dimensional Simulation of Turning Behavior in Potential Conflict Area of Mixed-Flow Intersections. Computer-Aided Civil and Infrastructure Engineering. doi:10.1111/mice.12266.

  81. Dong, C., Nambisan, S.S., Clarke, D.B., Sun, J., 2017. Exploring the Effects of State Highway Safety Laws and Socio-cultural Characteristics on Fatal Crashes. Traffic Injury Prevention 18(3). doi:10.1080/15389588.2016.1199864.

  82. Ma, Z., Sun, J., Wang, Y., 2017. A Two-Dimensional Simulation Model for Modelling Turning Vehicles at Mixed-Flow Intersections. Transportation Research Part C: Emerging Technologies 75, 103-119.

  83. Ni, Y., Wang, M., Sun, J., Li, K., 2016. Evaluation of Pedestrian Safety at Intersections: A Theoretical Framework Based on Pedestrian-Vehicle Interaction Patterns. Accident Analysis and Prevention 96, 118-129.

  84. Sun, J., Li, T., Li, F., Chen, F., 2016. Analysis of Safety Factors for Urban Expressways Considering the Effect of Congestion in Shanghai, China. Accident Analysis and Prevention 95, 503-511.

  85. Zhang, L., Wang, Y., Sun, J., Yu, B., 2016. The Sightseeing Bus Schedule Optimization under Park and Ride System in Tourist Attractions. Annals of Operations Research, 1-19.

  86. Sun, J., Sun, J., 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.

  87. Chen, C., Li, T., Sun, J., Chen, F., 2016. Hotspot Identification for Shanghai Expressways Using the Quantitative Risk Assessment Method. International Journal of Environmental Research and Public Health 14(20). doi:10.3390/ijerph14010020.

  88. Tang, K., Wang, F., Yao, J., Sun, J., 2016. Empirical Analysis and Modeling of Stop-Line Crossing Time and Speed at Signalized Intersections. International Journal of Environmental Research and Public Health 14(9). doi:10.3390/ijerph14010009.

  89. Chen, P., Sun, J., Qi, H., 2016. Estimation of Delay Variability at Signalized Intersections for Urban Arterial Performance Evaluation. Journal of Intelligent Transportation Systems. doi:10.1080/15472450.2016.1216319.

  90. Zhang, X., Wang, J., Li, T., Sun, J., 2016. Safety Factors of Exit Slip Roads on China's Urban Motorways. Proceedings of the Institution of Civil Engineers: Transport. doi:10.1680/jtran.15.00057.

  91. Song, R., Sun, J., 2016. Calibration of Micro-Traffic Simulation Model with Respect to the Spatial-Temporal Evolution at Expressway On-Ramp Bottlenecks. Simulation: Transactions of the Society for Modeling and Simulation International 92(6), 535-546.

  92. Sun, J., Yang, Y., Li, K., 2016. Integrated Coupling of Road Traffic and Network Simulation for Realistic Emulation of Connected Vehicle Applications. Simulation: Transactions of the Society for Modeling and Simulation International 92(5), 447-457.

  93. Feng, Y., Sun, J., Chen, P., 2015. Vehicle Trajectory Reconstruction Using Automatic Vehicle Identification and Traffic Count Data. Journal of Advanced Transportation 49(2), 174-194.

  94. Li, Z., Li, W., Xu, S., Qian, Y., Sun, J., 2015. Traffic Behavior of Mixed Traffic Flow With Two Kinds of Different Self-Stabilizing Control Vehicles. Physica A: Statistical Mechanics and its Applications 436, 729-738.

  95. Sun, J., Li, Z., Sun, J., 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.

  96. Sun, J., Ma, Z., Li, T., Niu, D., 2015. Development and Application of an Integrated Traffic Simulation and Multi-driving Simulators. Simulation Modelling Practice and Theory 59, 1-17.

  97. Sun, J., Sun, J., 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.

  98. Yang, J., Sun, J., 2015. Vehicle Path Reconstruction Using Automatic Vehicle Identification Data: An Integrated Particle Filter and Path Flow Estimator. Transportation Research Part C: Emerging Technologies 58, 107-126.

  99. Zheng, Z., Lee, J.B., Saifuzzaman, M., Sun, J., 2015. Exploring Association Between Perceived Importance of Travel/Traffic Information and Travel Behaviour in Natural Disasters : A Case Study of the 2011 Brisbane Floods. Transportation Research Part C: Emerging Technologies 51, 243-259.

  100. Zheng, J., Sun, J., Yang, J., 2015. Relationship of Lane Width to Capacity for Urban Expressways. Transportation Research Record: Journal of the Transportation Research Board 2483, 10-19.

  • 国内期刊论文

  1. 王之中,田野,孙剑,黄䶮，余荣杰．自动驾驶测试公共服务平台建设与思考．交通运输工程学报, 2023,23(6):1-9．

  2. 孙剑，秦国阳. 交通系统数字孪生：概念、成熟度分级与研究展望, 中国公路学报, 2023.

  3. 叶颖俊，孙剑. 快速路汇入区瓶颈交通流早发性失效研究：第一部分 建模仿真, 中国公路学报, 2023.

  4. 叶颖俊，孙剑. 快速路汇入区瓶颈交通流早发性失效研究：第二部分 致因分析, 中国公路学报, 2023.

  5. 倪颖，齐骁，杭鹏，周东浩，孙剑. 无保护左转环境下自动驾驶汽车交互策略分析, 中国公路学报, 2023.

  6. 赵晓聪,房世玉,李子睿,孙剑. 社会性驾驶交互关键效用析取与应用，汽车工程, 2023.

  7. 殷炬元，黎淘宁，孙剑. 网联环境下基于可选相位优化框架的公交信号优先，同济大学学报. 2023,51(3):395-404.

  8. 胡祥旺，倪颖，孙剑. 车联网环境下匝道汇入区瓶颈换道优化，同济大学学报. 2023.

  9. 陈晓芸，叶颖俊，余荣杰，孙剑. 低渗透率智能网联环境下高风险事件预警方法，同济大学学报. 2023.

  10. 刘晗，孙剑. 领域知识与数据驱动的混合交通流车辆轨迹预测，同济大学学报. 2023.

  11. 朱奕昕，张铎，王俊骅，孙剑. 基于自然驾驶数据的分心状态特征分析与跟驰行为建模，同济大学学报. 2023.

  12. 叶颖俊，倪颖，孙剑. 高密度瓶颈交通流主动-回应汇入行为定义与建模, 中国公路学报, 2022.

  13. 余荣杰，田野，孙剑. 高等级自动驾驶汽车虚拟测试：研究进展与前沿，中国公路学报，2020. 33(11): 125-138..

  14. 孙剑，张一豪，王俊骅. 基于自然驾驶数据的分心驾驶行为识别方法. 中国公路学报，2020, 33(9): 225-235..

  15. 孙剑，殷炬元，黎淘宁, 快速路入口匝道瓶颈宏观交通流模型, 交通运输工程学报,19(3)：122-133

  16. 刘启远,孙剑,田野,倪颖. 机非交互路段非机动车越线超车行为建模与仿真, 同济大学学报（自然科学版）2019, 47(11):1585-1593.

  17. 倪颖,李逸昕,李旭红,孙剑. 机非物理隔离路段非机动车行为建模仿真, 同济大学学报（自然科学版）2019, 47(6):778-787.

  18. 孙剑, 郑进炫. 城市快速路通行能力再认识与新分析体系构建. 中国公路学报, 2018(5).

  19. 王尔根, 孙剑. 城市快速路匝道车辆汇入影响因素识别与行为预测. 交通运输工程学报, 2018(3).

  20. 左康, 刘启远, 孙剑.城市快速路匝道汇入行为建模及仿真,系统仿真学报, 2017 (9) :1895-1906.

  21. 孙剑, 姜静茹, 郑进炫. 城市快速路交织区速度预测模型模型改进. 中国公路学报, 2017, 30(1): 83-91..

  22. 孙剑, 胡家琦, 孙杰. 城市快速路交织区通行能力估计模型. 中国公路学报, 2016, 29(4): 114-122.

  23. 孙剑, 蒋舜, 欧阳吉祥. 城市快速路驶入匝道瓶颈车辆汇入行为. 同济大学学报(自然科学版), 2015, 43(4): 549-554.

规范与专著

  1. 浙江省工程建设标准：城市道路平面交叉口规划与设计规范，浙江工商大学出版社. 2009.

  2. 浙江省工程建设标准：城市道路人行过街规划与设计规范，浙江工商大学出版社. 2009.

  3. 安徽省工程建设标准：城市道路交叉口信号控制设计规范.安徽省质量技术监督局，2015.

  4. 孙剑.《微观交通仿真分析指南》, 同济大学出版社, 2014.

  5. 唐克双, 孙剑.《基于多源数据融合的城市道路交通控制与管理》, 同济大学出版社, 2015.

  6. 孙剑.《城市快速路交通流理论与运行管理》，科学出版社，2020.

  7. 孙剑，田野，余荣杰.《自动驾驶虚拟仿真测试评价理论与方法》，科学出版社，2022.

获奖及荣誉

  1. 中国智能交通协会技术发明一等奖，2021，排名1.

  2. 同济大学教学成果一等奖，2020，排名1

  3. 住建部华夏建设科技一等奖，2018，排名1

  4. 教育部青年长江学者，2018

  5. 上海市教学成果二等奖，2017，排名4

  6. 教育部自然科学二等奖，2017，排名2

  7. 上海市技术发明二等奖，2016，排名1

  8. 住建部华夏建设科技二等奖，2015，排名2

  9. 上海市科技进步二等奖，2013，排名2

  10. 教育部新世纪人才计划，2013

  11. 上海市教学成果一等奖,2013，排名9

  12. 第四届全国高校智能交通创新与创业大赛二等奖，2019，指导教师

  13. 第三届全国高校智能交通创新与创业大赛一等奖，2018，指导教师

  14. 第七届全国大学生交通科技大赛一等奖，2012，指导教师

  15. 美国土木工程师协会中太平洋赛区学生土木工程竞赛，交通组第二名，2012，指导教师

  16. 第六届全国大学生交通科技大赛二等奖，2011，指导教师

最近更新：2022年1月6日 22:39:34

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