(1) 国家自然科学基金青年项目（C类），52502426，面向移动养护作业交通瓶颈的避险行为建模与行车风险演化规律解析, 2026-01至今, 在研, 主持

(2) 上海市人才工作局, 上海市白玉兰人才计划（青年项目）, 无, 轨迹数据驱动的道路交通安全风险管控技术, 2024-07 至今, 60万元, 在研, 主持

(3) 上海市科学技术委员会, 上海市2024年度”科技创新行动计划“启明星项目（扬帆专项）,24YF2748100, 异智交通体交互行为与风险防控, 2024-12 至 今, 20万元, 在研, 主持

(4) 同济大学, 中央高校基本科研项目, 22120250340, 面向移动养护作业场景的异智交通体驾驶行为特性研究, 2025-05 至今, 5万元, 在研, 主持

(5) 同济大学, 中央高校基本科研项目, 22120240617, 驾驶人换道行为交互机制及风险研究, 2024-07 至2024-12, 6万元, 结题, 主持

近五年在道路交通安全领域期刊及会议发表论文40余篇，其中以一作/通讯身份发表SCI期刊论文12篇（中科院一区5篇）。合作主编出版学术专著《危险驾驶行为机理解析》，授权国家发明专利3项。曾获中国交通运输协会科技进步一等奖（9/14）、美国科学院交通研究委员会（TRB）最佳青年研究者论文奖（两次）和加拿大道路安全委员会（CARSP）最佳论文奖。

代表性论文如下：

1. Shangguan, Q.; Wang J., Lei C., Fu T., Fang S., Fu L. (2025) Modelling the impact ofrisky cut-in and cut-out manoeuvers on traffic platooning safety with predictabilityand explainability, Transportmetrica A: Transport Science, 2025 (SSCI)

2. Shangguan, Q., Wang, Y., & Fu, L. (2024). Quantifying the effectiveness of anactive treatment in improving highway-railway grade crossing safety in Canada:an empirical Bayes observational before–after study. Canadian Journal ofCivil Engineering, 2024. (SCI).

3. Shangguan, Q., Wang J.*, Fu, T.*, Fang, S.,& Fu, L. (2023). An empirical investigation of driver car-following riskevolution using naturistic driving data and random parameters multinomial logitmodel with heterogeneity in means and variances. Analytic Methods inAccident Research, 100265. (SSCI, Q1, IF=12.5)

4. Shangguan, Q., Keung J., Fu, L.*, Samara,L., Wang J., & Fu, T. (2023). Do Traffic Countermeasures Improve the Safetyof Vulnerable Road Users at Signalized Intersections? A Combination ofCase-Control and Cross-Sectional Studies Using Video-Based Traffic Conflicts. TransportationResearch Record, 03611981231172748. (SCI)

5. Shangguan, Q., Fu, T.*, Wang, J., Fang, S., & Fu, L. (2022). A proactivelane-changing risk prediction framework considering driving intentionrecognition and different lane-changing patterns. Accident Analysis & Prevention, 164, 106500. (SSCI, Q1, IF=5.7).

6.  Shangguan, Q., Fu, T., Wang, J.*, Luo, T., & Fang, S. (2021). An integratedmethodology for real-time driving risk status prediction using naturalisticdriving data. Accident Analysis & Prevention,156, 106122. (SSCI, Q1, IF=5.7).

7. Shangguan, Q., Wang, J., Fu, T.*, & Fang, S. (2021). Quantification of cut-inrisk and analysis of its influencing factors: a study using random parametersordered probit model. Journal of Transportation Safety &Security, 1-26. (SSCI).

8. Shangguan, Q., Fu, T.*, Wang, J., Jiang, R., & Fang, S. (2021). Quantification ofrear-end crash risk and analysis of its influencing factors based on a newsurrogate safety measure. Journal of Advanced Transportation, 2021, 5551273. (SCI).

9. Shangguan, Q., Fu, T.*, & Liu, S. (2020). Investigating Rear-end CollisionAvoidance Behavior under Varied Foggy Weather Conditions: A Study usingAdvanced Driving Simulator and Survival Analysis. Accident Analysis & Prevention, 139, 105499. (SSCI, Q1, IF=5.7).

10. Wang J., Fu, T.*, & Shangguan,Q.*. (2023). Wide-area Vehicle Trajectory Data based on Advanced Trackingand Trajectory Splicing Technologies: Potentials in Transportation Research. AccidentAnalysis & Prevention, 186, 107044. (SSCI, Q1, IF=5.7)