自动驾驶仿真测试、超大交通系统建模、动态交通分配、主动出行需求管理、仿真优化等。研究成果得到3项国家自然科学基金（1项优秀青年基金项目、1项面上项目、1项青年项目），1项科技部科技创新2030 “新一代人工智能”重大项目课题，以及上汽、腾讯等产学研课题的持续支持。发表65篇高质量论文（其中第一/通讯SCI论文40篇），包括交通领域顶级期刊《TRANSPORT RES A/B/C/D/E》7篇、《IEEE TRANS》12篇。
孙剑，黄龑，田野*，余荣杰，赵晓聪 (2024) 自动驾驶测试公共服务平台构建技术及应用，中国公路学报 37（8）（自动驾驶测试）
Liu Y, Zhao X, Sun J,Tian Y*(2024) Sociality Probe: Game-Theoretic Inverse Reinforcement Learning for Modeling and Quantifying Social Patterns in Driving Interaction, IEEE Transactions on Intelligent Transportation Systems (SCI, IF=9.551, doi:10.1109/TITS.2024.3461162)（自动驾驶拟人化决策）
Xiao L, Wu J, Sun J,Tian Y*(2024) Money is Power: Carpooling Stimulus with Evidence from an Interactive Long-term Laboratory Experiment, Transport Policy 152:55-70 (SCI, IF=6.8, doi:10.1016/j.tranpol.2024.04.013)（出行需求管理）
Huang Y,Tian Y*, Sun J (2024) A Bayesian Optimization Method for Finding the Worst-case Scenarios of Autonomous Vehicles, IEEE Transactions on Intelligent Transportation Systems (SCI, IF=9.551, doi:10.1109/TITS.2024.3490616)（自动驾驶测试）
Fu Q, Wu J, Wu X, Sun J,Tian Y*(2024) Managing Network Congestion with Link-based Incentives: A Surrogate-based Optimization Approach, Transportation Research Part A: Policy and Practice (SCI, IF=6.4, doi:10.1016/j.tra.2024.104033)（代理优化技术）
Chen X, Qin GY, Seo T, Tian Y,Sun J*(2024) A Macro-Micro Approach to Reconstructing Vehicle Trajectories on Multi-Lane Freeways with Lane Changing, Transportation Research Part C: Emerging Technologies 160:104534 (SCI, IF=8.3, doi:10.1016/j.trc.2024.104534)（交通大数据）
Tian Y, Fu A, Zhang H, Tang L, Sun J (2024) Accelerated Verification of Autonomous Driving Systems based on Adaptive Subset Simulation, IEEE Transactions on Intelligent Vehicles (IF=14.0, doi: 10.1109/TIV.2024.3449947)（自动驾驶测试）
Mei Y, Nie T, Sun J, Tian Y*, (2024) Bayesian Fault Injection Safety Testing for Highly Automated Vehicles with Uncertainty, IEEE Transactions on Intelligent Vehicles (SCI, IF=8.2, doi: 10.1109/TIV.2024.3401051)（自动驾驶测试）
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 (SCI, IF=9.551, doi:10.1109/TITS.2023.3335104)（自动驾驶测试）
Wu J,Tian Y*, Sun J, Zhang HM, Wang Y (2023) Public or Private? Optimal Organization for Incentive-Based Travel Demand Management, Transportation Research Part E: Logistics and Transportation Review 174:103137 (SCI, IF=10.047, doi:10.1016/j.tre.2023.103137)（出行需求管理）
Zhang H, Sun J,Tian Y*(2023) Accelerated Safety Testing for Highly Automated Vehicles: Application and Capability Comparison of Surrogate Models, IEEE Transactions on Intelligent Vehicles (SCI, IF=8.5, doi:10.1109/TIV.2023.3319158)（自动驾驶测试）
Li Z, Sun J, Lu X, Tian Y*(2022) Simulation-Based Optimization of Large-Scale Dedicated Bus Lanes Allocation: Use Machine Learning Surrogates to Improve Optimization Efficiency, Transportation Research Part C: Emerging Technologies 143:103827 (SCI, IF=9.022, doi:10.1016/j.trc.2022.103827)（代理优化）
Tian Y, Li Y*, Sun J (2022), Stick or carrot for traffic demand management? Evidence from an experimental experiment, Transportation Research Part A: Policy and Practice (SCI, IF=5.594, doi:10.1016/j.tra.2022.04.010) (主动出行需求管理）
Chen X, Yin J, Tang K, Tian Y, Sun J* (2022), Vehicle Trajectory Reconstruction at Signalized Intersections Under Connected and Automated Vehicle Environment, IEEE Transactions of Intelligent Transportation Systems (SCI, IF=6.492, doi:10.1109/TITS.2022.3150577) （交通大数据分析）
Sun J, Zhou H, Xi H, Zhang H, Tian Y* (2021), Adaptive Design of Experiments for Safety Evaluation of Automated Vehicles, IEEE Transactions of Intelligent Transportation Systems (SCI, IF=6.492, doi:10.1109/TITS.2021.3130040) （自动驾驶测试）
Sun J, Zhang H, Zhou H, Yu R, Tian Y* (2021), Scenario-Based Test Automation for Highly Automated Vehicles: A Comprehensive Review and Paving the Way for Systematic Safety Assurance, IEEE Transactions of Intelligent Transportation Systems (SCI, IF=6.492, doi:10.1109/TITS.2021.3136353) （自动驾驶测试）
Tian Y, Li Y, Sun J, Ye J* (2021) Characterizing Favored Users of Incentive-based Traffic Demand Management Program, Transport Policy 105，94-102. (SCI, IF=3.382, doi:10.1016/j.tranpol.2021.03.003)（主动出行需求管理）
Li T, Chen P, Tian Y* (2021), Personalized Incentive-Based Peak Avoidance and Driving Time-Savings, Transport Policy 100, 68-80. (SCI, IF=3.382, doi:10.1016/j.tranpol.2020.10.008)（主动出行需求管理）
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. (SCI, IF=4.577, doi:10.1016/j.trd.2020.102565)（交通大数据分析）
Sun J, Qi X, Xu Y,Tian Y* (2020) Vehicle Turning Behavior Modeling at Conflicting Areas of Mixed-Flow Intersections Based on Deep Learning. IEEE Transactions on Intelligent Transportation Systems 21(9), 3674-3685. (SCI, IF=5.774, doi:10.1109/TITS.2019.2931701)（自动驾驶规划决策）
Sun J, Wu J, Xiao F, Tian Y*, Xu X (2020) Manage Bottleneck Congestion with Incentives. Transportation Research Part B: Methodological 134, 143-166. (SCI, IF=4.796, doi:10.1016/j.trb.2020.01.010)（主动出行需求管理）
Tian Y, Chiu Y-C, Sun J (2019) Understanding behavioral effects of tradable mobility credit scheme: An experimental economics approach. Transport Policy 81, 1-11. (SCI, IF=3.382, doi:10.1016/j.tranpol.2019.05.019)（主动出行需求管理）
余荣杰，田野，孙剑*, (2020) 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33 (11): 125-138