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2020年1月29日 • 星期三 • 第5周  
——  孙  剑  教  授  课  题  组  ——
论文专著

TOPS课题组论文主题文字云

论文题目文字云*

 A.  学术论文 

2010年后发表主要论文如下:

  • 国际期刊论文

  1. 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
  2. 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.
  3. Yixin Li, Ying Ni,Jian Sun,Zian Ma. Modeling the illegal lane-changing behavior of bicycles on road segments. Physica A. https://doi.org/10.1016/j.physa.2019.123302.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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
  9. 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.
  10. 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.
  11. 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.
  12. 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
  13. Xiangwang Hu, Jian Sun*. Trajectory optimization of connected and autonomous vehicles at multilane freeway merging area. Transportation Research Part C: Emerging Technologies, 101(2019) 111-125.
  14. Qiyuan Liu, Jian Sun, Ye Tian. Modelling and Simulation of Non-motorized Vehicles’ Dispersion at Mixed Flow Intersections. Journal of Advanced Transportation, https://doi.org/10.1155/2019/9127062
  15. 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
  16. Guoyang Qin, Zhenhua Huang, Yang Xiang, Jian Sun*. ProbDetect: A choice probability-based taxi trip anomaly detection model considering traffic variability. Transportation Research Part C: Emerging Technologies, 98 (2019) 221-238.
  17. Xiuling Huang, Jie Sun, Jian Sun*. A car-following model considering asymmetric driving behavior based on long short-term memory neural networks. Transportation Research Part C: Emerging Technologies, 95 (2018) 346–362.
  18. Liyu Wu, Jian Sun*, Tienan Li. Relationship of Lane Width to Safety for Urban Expressways in Shanghai. Journal of Transportation Engineering, Part A: Systems. (In Press).
  19. Guangxu Shan, Zhenhua Huang, Jiujun Chen, Jian Sun. 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
  20. Yiming Xu, Yajie Zou, Jian Sun*, 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.
  21. Jian Sun*, Kang Zuo, Shun Jiang, Zuduo Zheng, Modeling and predicting stochastic merging behaviors at freeway on-ramp bottlenecks, Journal of Advanced Transportation. 2018: 1-15.
  22. 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. (In Press).
  23. Zhang, H., Sun, J., et al. Adaptive Consensus-based Distributed Target Tracking with Dynamic Cluster in Sensor[J]. IEEE Transactions on Cybernetics, PP(99): 1-12.
  24. Sun, J.*, Xu, Y., Ma. Z. Simulation of Turning Vehicles’ Behaviors at Mixed-flow Intersections Based on Potential Field Theory[J]. Transportmetrica B: Transport Dynamics(2018): 1-21.
  25. 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
  26. 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.
  27. 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.
  28. Chen, P., Cong, Y., Sun, J.*, Wang, Y. Dynamic Eco-Driving Speed Guidance at Signalized Intersections: Multi-Vehicle Driving Simulator based Experimental Study, Journal of Advanced Transportation, 2018(2018).
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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. 
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. Sun, J., Zhang, S., Tang, K., 2014. Online Evaluation of an Integrated Control Strategy at On-Ramp Bottleneck for Urban Expressways in Shanghai. IET Intelligent Transport Systems 8(8), 648-654.
  53. Wu, Z., Zhao, L., Sun, J., 2014. A Study of Dynamic Right-Turn Signal Control Strategy at Mixed Traffic Flow Intersections. PROMET-Traffic and Transportation 26(6), 449-458.
  54. Ni, Y., Li, K., 2014. Estimating Rear-End Accident Probabilities at Signalized Intersections: A Comparison Study of Intersections with and without Green Signal Countdown Devices. Traffic Injury Prevention 15, 583-590.
  55. Chen, P., Qi, H., Sun, J., 2014. Investigation of Saturation Flow on Shared Right-Turn Lane at Signalized Intersections. Transportation Research Record: Journal of the Transportation Research Board 2461, 66-75.
  56. Chen, P., Yin, K., Sun, J., 2014. Application of Finite Mixture of Regression Model with Varying Mixing Probabilities to Estimation of Urban Arterial Travel Times. Transportation Research Record: Journal of the Transportation Research Board 2442, 96-105.
  57. Sun, J., Ouyang, J., Yang, J., 2014. Modeling and Analysis of Merging Behavior at Expressway On-Ramp Bottlenecks. Transportation Research Record: Journal of the Transportation Research Board 2421, 74-81.
  58. Sun, J., Sun, J., Chen, P., 2014. Use of Support Vector Machine Models for Real-Time Prediction of Crash Risk on Urban Expressways. Transportation Research Record: Journal of the Transportation Research Board 2432, 91-98.
  59. Sun, J., Zhao, L., Zhang, H.M., 2014. Mechanism of Early-Onset Breakdown at On-Ramp Bottlenecks on Shanghai, China, Expressways. Transportation Research Record: Journal of the Transportation Research Board 2421, 64-73.
  60. Zhao, L., Sun, J., Zhang, H.M., 2014. Observations and Analysis of Multistep Approaching Lane Changing Behavior at Two Expressway Merge Bottlenecks in Shanghai. Transportation Research Record: Journal of the Transportation Research Board 2395, 73-82.
  61. Sun, J., Zhang, J., Zhang, H.M., 2014. Investigation of the Early-onset Breakdown Phenomenon at Urban Expressway Bottlenecks in Shanghai. Transportmetrica B: Transport Dynamics 2(3), 215-228.
  62. Sun, J., Chen, S., 2013. Dynamic Speed Guidance for Active Highway Signal Coordination: Roadside versus In-Car Strategies. IET Intelligent Transport Systems 7(4), 432-444.
  63. Zhou, S., Sun, J., Li, K., Yang, X., 2013. Development of a Root Cause Degree Procedure for Measuring Intersection Safety Factors. Safety Science 51(1), 257-266.
  64. Tang, K., Dong, S., Wang, F., Ni, Y., Sun, J., 2013. Driver Behavior of E-Bikes at the Onset of Green and Yellow at Signalized Intersections in China. Transportation Research Record: Journal of the Transportation Research Board 2317, 85-96.
  65. Yang, Y., Sun, J., 2013. Study on Pedestrian Red-Time Crossing Behavior: Integrated Field Observation and Questionnaire Data. Transportation Research Record: Journal of the Transportation Research Board 2393, 117-124.
  66. Yu, B., Wu, S., Yao, B., Yang, Z., Sun, J., 2012. Dynamic Vehicle Dispatching at a Transfer Station in Public Transportation System. Journal of Transportation Engineering 138(2).
  67. Sun, J., Zhou, S., Li, K., Ni, Y., 2012. Evaluation of Safety Factors at Chinese Intersections. Proceedings of the Institution of Civil Engineers: Transport 165(3), 195-204.
  68. Sun, J., Dong, S., Bing, X., Ni, Y., 2012. Comparative Study of Impacts of Red Light Cameras in China. Transportation Research Record: Journal of the Transportation Research Board 2317, 68-75.
  69. Sun, J., Li, K., 2011. Transportation Planning Process Business Processes Reengineering. Advanced Science Letters 4(4), 1404-1409.
  70. Li, Z., Liu, F., Sun, J., 2011. A Lattice Traffic Model with Consideration of Preceding Mixture Traffic Information. Chinese Physics B 20(8), 32-37.
  71. Sun, J., Yang, Y., 2011. RSU Localization Model and Simulation Optimization for VII Network. Transport 26(4), 394-402.
  72. Zhou, S., Sun, J., An, X., Li, K., 2011. The Development of a Conflict Hazardous Assessment Model for Evaluating Urban Intersection Safety. Transport 26(2), 216-223.
  73. Ni, Y., Li, K., 2010. Pedestrian Signal Violation at Intersections in China and in Germany. Journal of Beijing Institute of Technology 19(2).
  74. Xu, H., Sun, J., Zheng, M., 2010. Comparative Analysis of Unconditional and Conditional Priority for Use at Isolated Signalized Intersections. Journal of Transportation Engineering 136(12), 1092-1103.
  75. Yao, B., Yang, C., Yao, J., Sun, J., 2010. Tunnel Surrounding Rock Displacement Prediction Using Support Vector Machine. International Journal of Computational Intelligence Systems 3(6), 843-852.
  • 国内期刊论文

  1. 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
  2. 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.
  3. 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.
  4. 孙剑, 郑进炫. 城市快速路通行能力再认识与分析体系构建[J]. 中国公路学报, 2018(5).
  5. 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[J]. 交通运输工程学报, 2018(3).
  6. 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[J]. 中国公路学报, 2017, 30(1): 83-91.
  7. 孙剑, 胡家琦, 孙杰. 城市快速路交织区通行能力估计模型[J]. 中国公路学报, 2016, 29(4): 114-122.
  8. 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[J]. 同济大学学报(自然科学版), 2015, 43(4): 549-554.
  9. 贾丰源, 孙杰, 孙剑. 快速路交通流运行安全关键参数识别与评估[J]. 同济大学学报(自然科学版), 2015, 43(2): 221-225.
  10. 孙剑, 孙杰. 城市快速路实时交通流运行安全主动风险评估[J]. 同济大学学报(自然科学版), 2014, 42(6): 873-879.
  11. 董玉璞, 李克平, 倪颖. 基于相位优先度规则的单点公交优先控制策略[J]. 同济大学学报(自然科学版), 2014, 42(8): 1181-1189.
  12. 孙剑, 冯羽. 基于车辆自动识别技术的动态OD矩阵估计新方法[J]. 同济大学学报(自然科学版), 2013, 41(9): 1366-1371.
  13. 孙剑, 张娟. 城市快速路常发性瓶颈交通流失效生存分析模型[J]. 同济大学学报(自然科学版), 2013, 41(4): 530-535.
  14. 柳祖鹏, 李克平, 倪颖. 基于绿灯需求度的单点公交信号优先控制策略[J]. 同济大学学报(自然科学版), 2013, 41(3): 408-414.
  15. 陈大山, 孙剑, 李克平. 城市快速路速度引导预测控制模型[J]. 交通运输工程学报, 2012, 12(1): 106-111.
  16. 孙剑, 冯羽. 自动识别环境下车辆的出行矩阵估计新方法[J]. 同济大学学报(自然科学版), 2011, 39(12): 1800-1804.
  17. 孙剑, 杨燕, 李克平, 王怀东. 信号控制交叉口行人过街行为虚拟实验[J]. 同济大学学报(自然科学版), 2011, 39(5): 682-687.
  18. 孙剑, 潘斌, 李克平, 张惠玲. 非饱和信号控制交叉口动态延误测定方法[J]. 同济大学学报(自然科学版), 2011, 39(7): 1007-1012.
  19. 孙剑, 赵莉. 一种改进的混合交通交叉口安全仿真评价方法[J]. 中国安全科学学报, 2011, 21(6): 32-37.
  20. 张娟, 孙剑. 基于SVM的城市快速路行程时间预测研究[J]. 交通运输系统工程与信息, 2011, 11(2): 174-179.
  21. 李克平, 倪颖. 信号控制交叉口行人过街交通组织与控制[J]. 城市交通, 2011, (1): 71-77.
  22. 倪颖, 李克平. 基于关键冲突车流的交叉口饱和度计算及应用[J]. 武汉理工大学学报(交通科学与工程版), 2010, (01): 31-34.
  23. 孙剑, 杨宇伟, 李克平. OD矩阵估计中的AVI设施布局优化[J]. 公路交通科技, 2010, 27(8): 70-75.
  24. 张硕, 孙剑, 李克平. 路径行程时间的组合预测方法研究[J]. 交通信息与安全, 2010, 28(4): 13-17.
  25. 李克平, 杨佩昆, 倪颖. 城市道路交叉口信号控制中的黄灯问题[J]. 城市交通, 2010, 08(4): 67-72.
  26. 陈大山, 孙剑, 李克平. 高速公路主线最佳行驶速度综合算法[J]. 武汉理工大学学报(交通科学与工程版), 2010, 34(6): 1086-1089.
  • 国际/国内会议论文

  1. Song zhijin, Wang huizi, Tian Ye, Sun Jian. Evaluating Environmental and Safety Impact Using Micro-Simulations: Experimental Findings with VISSIM and TransModeler. 20-03086, Presented at the 99th Annual Meeting of the Transportation Research Board. Washington, D.C.,2020.
  2. Yin juyuan, Chen xuejian, Sun jian. Vehicle Trajectory Reconstruction for Urban Arterial Under Low–Penetration Connected and Autonomous Vehicle Environment. 20-05025, Presented at the 99th Annual Meeting of the Transportation Research Board. Washington, D.C.,2020.
  3. Keshuang Tang, Jiarong Yao, Chaopeng Tan, Jian Sun. Cycle-based Traffic Volume Estimation Using Sampled Vehicle Trajectory Data: Singular Value Thresholding Method. 20-01223, Presented at the 99th Annual Meeting of the Transportation Research Board. Washington, D.C.,2020.
  4. Keshuang Tang, Siqu Chen, Yumin Cao, Xiaosong Li, Di Zang, Jian Sun. Short-Term Travel Speed Prediction for Urban Expressways: Hybrid Convolutional Neural Network Models. 20-01968, Presented at the 99th Annual Meeting of the Transportation Research Board. Washington, D.C.,2020.
  5. Keshuang Tang. Xiaosong Li, Siqu Chen, Di Zang, Jian Sun.Short-Term Travel Speed Prediction for Urban Expressways: Graph Attention Network Model. 20-02137, Presented at the 99th Annual Meeting of the Transportation Research Board. Washington, D.C.,2020.
  6. Keshuang Tang. Chaopeng Tan, Yumin Cao, Jiarong Yao, Jian Sun. Cycle-Based Traffic Volume Estimation using Sampled Vehicle Trajectory Data: Tucker Decomposition Method, 20-01704, Presented at the 99th Annual Meeting of the Transportation Research Board. Washington, D.C.,2020.
  7. Keshuang Tang. Yumin Cao, Can Chen, Chaopeng Tan, Jiarong Yao, Jian Sun. Origin-Destination Flows Estimation Using Automatic Vehicle Identification Data: A 3D Convolutional Neural Network Approach, 20-01122, Presented at the 99th Annual Meeting of the Transportation Research Board. Washington, D.C.,2020.
  8. Yihao Zhang, Junhua Wang Zuduo Zheng Yixin Li Mingtao Wu, Jian Sun. Detecting Driver Distractions Using a Deep Learning Approach and Multi-Source Naturalistic Driving Data, 20-01635, Presented at the 99th Annual Meeting of the Transportation Research Board. Washington, D.C.,2020.
  9. Xiaoyun Chen, Zian Ma, Jie Sun, Zuduo Zheng, Jian Sun. Investigating the Long and Short-Term Driving Characteristics and Incorporating Them into Car-Following Models,20-00505, Presented at the 99th Annual Meeting of the Transportation Research Board. Washington, D.C.,2020.
  10. L Zhu, Y Li, Y Tian, J Sun, A Scale-Dynamic Network Abstraction Approach for Traffic Analysis,CICTP 2019, 4696-4708
  11. J Wu, Y Tian, J Sun, A Bilevel Programming Framework for Determining the Optimal Incentive-Based Traffic Demand Management Strategy, CICTP 2019, 5900-5912
  12. Y Zhang, J Sun, Taxi Income Monitoring and Service Strategy Analyzing Using GPS Trajectory Data,CICTP 2019, 6057-6069
  13. X Qi, Y Ye, J Sun. Autonomous Vehicles’ Decision-Making Behavior in Complex Driving Environments Using Deep Reinforcement Learning,CICTP 2019, 5853-5864
  14. Y Tian, YC Chiu, J Sun. A Trajectory-Mining Approach to Derive Travel Time Skim Matrix in Dynamic Traffic Assignment, CICTP 2019, 4412-4423
  15. Sun J, Sun J. Investigating the oscillation characteristics and mitigating its impact with low-penetration connected and automated vehicles[C]//2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018: 2339-2345.
  16. Ye, Y., Sun, J., Jiang, S., 2016. Modeling Car-Following Behaviors on a Merging Section in an Expressway On-Ramp Bottleneck, CICTP 2016.
  17. Yang, X., Yang, J., Sun, J., 2015. Data-Driven Integrated Control Strategy for Postponing Early-Onset Breakdowns on Urban Expressway On-Ramp Bottlenecks in Shanghai, CICTP 2015.
  18. Song, R., Sun, J., 2015. Calibration of Micro-Traffic Simulation Model with Respect to the Spatial-temporal Evolution at Expressway On-ramp Bottlenecks, Presented at the 94th Annual Meeting of the Transportation Research Board, Washington, D.C.
  19. Sun, J., Ma, Z., 2015. Some Observed Details of Traffic Flow Phase Transition at Urban Expressway Off-ramp Bottlenecks in Shanghai, Presented at the 94th Annual Meeting of the Transportation Research Board, Washington, D.C.
  20. Sun, J., Wang, Z., Yang, J., Ouyang, J., 2015. Comparison of Dilemma Zone and Driver Behavior of Trucks and Passenger Cars at High-Speed Signalized Intersections, Presented at the 94th Annual Meeting of the Transportation Research Board, Washington, D.C.
  21. Wu, L., Sun, J., 2015. Relationship of Lane Width to Safety for Urban Expressways, Presented at the 94th Annual Meeting of the Transportation Research Board, Washington, D.C.
  22. Zheng, J., Sun, J., 2015. Relationship of Lane Width to Capacity for Urban Expressways, Presented at the 94th Annual Meeting of the Transportation Research Board, Washington, D.C.
  23. Hu, J., Sun, J., 2014. Some Flow Features at Urban Expressway On-Ramp Bottlenecks in Shanghai, Presented at the 93rd Annual Meeting of the Transportation Research Board, Washington, D.C.
  24. Jiang, S., Sun, J., 2014. Observations and Analysis of the Lane Changing Chain Reaction Behavior at Two Expressway Merge Bottlenecks in Shanghai, Presented at the 93rd Annual Meeting of the Transportation Research Board, Washington, D.C.
  25. Ni, Y., Deng, T., Li, K., 2014. Pedestrian Accommodation in Intersection Signal System: A Rule-Based Dynamic Pedestrian Control Strategy, Presented at the 93rd Annual Meeting of the Transportation Research Board, Washington, D.C.
  26. Sun, J., Niu, D., Ma, Z., 2014. Integration of Traffic Simulation and Multiple Driving Simulators: Case Study of Lane-Changing Experiments on Traffic Flow, Presented at the 93rd Annual Meeting of the Transportation Research Board, Washington, D.C.
  27. Sun, J., Wang, J., Sun, J., 2014. Safety Influencing Factor Assessment of Expressway Exit Ramps in Shanghai, Presented at the 93rd Annual Meeting of the Transportation Research Board, Washington, D.C.
  28. Deng, T., Ni, Y., Li, K., 2013. Pedestrian Crossings at Mid-Block Locations: A Comparative Study of Existing Signal Operations, Presented at the 92nd Annual Meeting of the Transportation Research Board, Washington, D.C.
  29. Sun, J., Niu, D., Chen, S., Li, K., 2013. Development and Investigation of a Dynamic Eco-Driving Speed Guidance Strategy for Signalized Highway Traffic, Presented at the 92nd Annual Meeting of the Transportation Research Board, Washington, D.C.
  30. Sun, J., Zhao, L., Zhang, Y., Wu, Z., 2013. Research on Dynamic Signal Control for Exclusive Right-Turn Lane at Mixed Traffic Flow Intersections, Presented at the 92nd Annual Meeting of the Transportation Research Board, Washington, D.C.
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  35. Zhao, L., Sun, J., 2013. Simulation Framework for Vehicle Platooning and Car-Following Behaviors Under Connected-Vehicle Environment. Procedia: Social and Behavioral Sciences 96, 914-924.
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  37. Ni, Y., Li, K., 2012. Signal Violation Effects on Pedestrian Delay at Signalized Intersections, Presented at the 91st Annual Meeting of the Transportation Research Board, Washington, D.C.
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  B.  学术专著 

  1. 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
  2. 孙剑,《微观交通仿真分析指南》,同济大学出版社,2014

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