| 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 | 224 | 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 | 200 | 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 | 188 | 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 | 171 | 2019 |
| Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks J Sun, J Kim Transportation Research Part C: Emerging Technologies 128, 103114, 2021 | 67 | 2021 |
| 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 | 67 | 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 | 62 | 2016 |
| Investigating the long-and short-term driving characteristics and incorporating them into car-following models X Chen, J Sun, Z Ma, J Sun, Z Zheng Transportation research part C: emerging technologies 117, 102698, 2020 | 47 | 2020 |
| Use of support vector machine models for real-time prediction of crash risk on urban expressways J Sun, J Sun, P Chen Transportation Research Record 2432 (1), 91-98, 2014 | 44 | 2014 |
| Integrated simulation platform for conventional, connected and automated driving: A design from cyber–physical systems perspective D Jia, J Sun, A Sharma, Z Zheng, B Liu Transportation Research Part C: Emerging Technologies 124, 102984, 2021 | 43 | 2021 |
| Study on traffic characteristics for a typical expressway on-ramp bottleneck considering various merging behaviors J Sun, Z Li, J Sun Physica A: Statistical Mechanics and its Applications 440, 57-67, 2015 | 30 | 2015 |
| 城市快速路实时交通流运行安全主动风险评估 孙剑， 孙杰 同济大学学报: 自然科学版 42 (6), 873-879, 2014 | 23* | 2014 |
| 城市快速路交织区通行能力估计模型 孙剑， 胡家琦， 孙杰 中国公路学报 29 (4), 114-122, 2016 | 13* | 2016 |
| Stability evolution of car-following models considering asymmetric driving behavior J Sun, Z Zheng, J Sun Transportation Research Record, 03611981231156584, 2023 | 5 | 2023 |
| Investigating the oscillation characteristics and mitigating its impact with low-penetration connected and automated vehicles J Sun, J Sun 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 5 | 2018 |
| 快速路交通流运行安全关键参数识别与评估 贾丰源， 孙杰， 孙剑 同济大学学报: 自然科学版 43 (2), 221-225, 2015 | 5* | 2015 |
| Stability and extension of a car-following model for human-driven connected vehicles J Sun, Z Zheng, A Sharma, J Sun Transportation Research Part C: Emerging Technologies 155, 104317, 2023 | 4 | 2023 |
| Car-following characteristics of commercially available adaptive cruise control systems and comparison with human drivers Y Ye, J Sun, J Sun Transportation research record 2677 (2), 1401-1414, 2023 | 4 | 2023 |
| Safety influencing factors assessment of expressway exit ramps in shanghai J Sun, J Wang, J Sun Transportation Research Board 93rd Annual MeetingTransportation Research Board, 2014 | 3 | 2014 |
| Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning J Sun, H Yang Transportation research part C: emerging technologies 160, 104530, 2024 | 2 | 2024 |
