| A car-following model considering asymmetric driving behavior based on long short-term memory neural networks X Huang, J Sun, J Sun Transportation research part C: emerging technologies 95, 346-362, 2018 | 215 | 2018 |
| Stability analysis methods and their applicability to car-following models in conventional and connected environments J Sun, Z Zheng, J Sun Transportation research part B: methodological 109, 212-237, 2018 | 190 | 2018 |
| A dynamic Bayesian network model for real-time crash prediction using traffic speed conditions data J Sun, J Sun Transportation Research Part C: Emerging Technologies 54, 176-186, 2015 | 186 | 2015 |
| Simultaneous modeling of car-following and lane-changing behaviors using deep learning X Zhang, J Sun, X Qi, J Sun Transportation research part C: emerging technologies 104, 287-304, 2019 | 164 | 2019 |
| Trajectory optimization of connected and autonomous vehicles at a multilane freeway merging area X Hu, J Sun Transportation Research Part C: Emerging Technologies 101, 111-125, 2019 | 161 | 2019 |
| Simulation framework for vehicle platooning and car-following behaviors under connected-vehicle environment L Zhao, J Sun Procedia-Social and Behavioral Sciences 96, 914-924, 2013 | 158 | 2013 |
| Adaptive consensus-based distributed target tracking with dynamic cluster in sensor networks H Zhang, X Zhou, Z Wang, H Yan, J Sun IEEE transactions on cybernetics 49 (5), 1580-1591, 2018 | 145 | 2018 |
| Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment Y Ye, X Zhang, J Sun Transportation Research Part C: Emerging Technologies 107, 155-170, 2019 | 128 | 2019 |
| Evaluation of pedestrian safety at intersections: A theoretical framework based on pedestrian-vehicle interaction patterns Y Ni, M Wang, J Sun, K Li Accident Analysis & Prevention 96, 118-129, 2016 | 106 | 2016 |
| TRec: an efficient recommendation system for hunting passengers with deep neural networks Z Huang, G Shan, J Cheng, J Sun Neural Computing and Applications 31, 209-222, 2019 | 98 | 2019 |
| Study on Microscopic traffic simulation model systematic parameter calibration J Sun, X Yang, H LIU Journal of System Simulation 1, 10-14, 2007 | 88* | 2007 |
| Traffic congestion prediction based on GPS trajectory data S Sun, J Chen, J Sun International Journal of Distributed Sensor Networks 15 (5), 1550147719847440, 2019 | 75 | 2019 |
| Tunnel surrounding rock displacement prediction using support vector machine BZ Yao, CY Yang, JB Yao, J Sun International Journal of Computational Intelligence Systems 3 (6), 843-852, 2010 | 73 | 2010 |
| A two-dimensional simulation model for modelling turning vehicles at mixed-flow intersections Z Ma, J Sun, Y Wang Transportation Research Part C: Emerging Technologies 75, 103-119, 2017 | 66 | 2017 |
| Analysis of safety factors for urban expressways considering the effect of congestion in Shanghai, China J Sun, T Li, F Li, F Chen Accident Analysis & Prevention 95, 503-511, 2016 | 65 | 2016 |
| Vehicle trajectory reconstruction using automatic vehicle identification and traffic count data Y Feng, J Sun, P Chen Journal of advanced transportation 49 (2), 174-194, 2015 | 65 | 2015 |
| The relationship between car following string instability and traffic oscillations in finite-sized platoons and its use in easing congestion via connected and automated … J Sun, Z Zheng, J Sun Transportation Research Part B: Methodological 142, 58-83, 2020 | 63 | 2020 |
| Real‐time crash prediction on urban expressways: identification of key variables and a hybrid support vector machine model J Sun, J Sun IET intelligent transport systems 10 (5), 331-337, 2016 | 60 | 2016 |
| A lattice traffic model with consideration of preceding mixture traffic information ZP Li, FQ Liu, J Sun Chinese physics B 20 (8), 088901, 2011 | 59 | 2011 |
| Calibration of VISSIM for shanghai expressway using genetic algorithm Z Wu, J Sun, X Yang Simulation Conference, 2005 Proceedings of the Winter, 4 pp., 2005 | 58* | 2005 |
Ye TianTongji UniversityVerified email at tongji.edu.cn
