一、个人简介：
邵宜昌，男，中共党员，工学博士，南京邮电大学预聘副教授。中国人工智能学会、中国公路学会、中国汽车工程学会会员，IEEE Member。2025年3月获东南大学交通运输工程博士学位，导师叶智锐教授。现研究方向涵盖自动驾驶决策控制、道路车辆安全风险建模、人机共驾接管策略优化、空地一体化协同调度等。近三年内在交通领域发表期刊及会议论文40余篇，申请专利20项，登记软著10项，获茅以升科学技术奖（交通运输科学技术奖）特等奖、“数据要素”大赛特色奖等。
办公地址：南京邮电大学三牌楼校区现代邮政学院、智慧交通学院206办公室
电子邮箱：yshao@njupt.edu.cn
二、研究领域
目前主要研究智能交通与道路安全。依托多人在线驾驶模拟仿真平台，结合眼动、生理信号与车辆运行数据，开展驾驶行为分析、自动驾驶交互策略设计及测试场景生成等研究。欢迎本科生参与毕设、大创、竞赛以及论文和专利撰写。建议具备基础编程能力，对相关方向有兴趣并愿意主动学习的同学也欢迎加入。参与过程中可接触自动驾驶测试流程与仿真平台，并开展实际科研训练。
三、科研项目：
1. 校引进人才科研启动基金（自然科学）项目，车辆安全态势推演与风险预警研究，2025.12-2028.12，在研，主持.
2. 国家重点研发计划项目，自主式交通系统运行及环境状态全息感知技术-课题二：载运装备人-机-环状态自感知与驾驶接管条件辨识技术，2023.01-2026.12，在研，参与.
3. 国家自然科学基金面上项目，考虑驾驶员响应机理的营运客车主动安全预警系统差异化分级调控方法，2021.01-2024.12，结题，参与.
4. 南京市重大科技专项项目，全息感知与智能决策的城市智慧交通车路协同关键核心技术，2023.10-2026.09，在研，参与.
5. 江苏省科技计划（社会发展）面上项目，船舶尾气排放遥测系统研发与应用研究，2020.07-2023.09，结题，参与.
6. 江苏省交通运输科技与成果转化项目，高速公路零碳服务区与新能源重卡换电设施示范应用，2023.09-2024.11，结题，参与.
7. 江苏省交通运输科技与成果转化项目，高速公路服务区新能源微电网智能管控技术及应用研究，2024.07-2025.12，结题，参与.
8. 中山市科技局城市建设招标项目，中山翠亨新区智慧城市信息模型平台（CIM平台）一期项目，2025.01-2026.06，在研，参与.
四、科研成果：
【论文】
[1] Shao, Yichang, Xiaomeng Shi, Yi Zhang, Yuhan Zhang, Yueru Xu, Weijie Chen, and Zhirui Ye (2023). Adaptive forward collision warning system for hazmat truck drivers: considering differential driving behavior and risk levels. Accident Analysis & Prevention, 191, 107221.
[2] Shao, Yichang, Xiaomeng Shi, Yuhan Zhang, Nirajan Shiwakoti, Yueru Xu, and Zhirui Ye (2024). Injury severity prediction and exploration of behavior-cause relationships in automotive crashes using natural language processing and extreme gradient boosting. Engineering Applications of Artificial Intelligence, 133, 108542.
[3] Shao, Yichang, Yueru Xu, Zhirui Ye, Yuhan Zhang, Weijie Chen, Nirajan Shiwakoti, and Xiaomeng Shi (2025). Understanding the impacts of negative advanced driving assistance system warnings on drivers’ responses using interpretable machine learning. Engineering Applications of Artificial Intelligence, 146, 110308.
[4] Shao, Yichang, Zhongyi Han, Xiaomeng Shi, Yuhan Zhang, and Zhirui Ye (2024). Risk-informed longitudinal control in autonomous vehicles: A safety potential field modeling approach. Physica A: Statistical Mechanics and its Applications, 633, 129419.
[5] Shao, Yichang, Zhirui Ye, and Renhao Hu (2025). Visual recognition distance prediction and energy-efficient brightness optimization strategies for active luminous guide signs. Transportation Research Record, 03611981251322451.
[6] Shao, Yichang, Yi Zhang, Yuhan Zhang, Xiaomeng Shi, Nirajan Shiwakoti, and Zhirui Ye (2024). A virtual vehicle-based car-following model to reproduce hazmat truck drivers’ differential behaviors. Journal of Advanced Transportation, 2024(1): 5041012.
[7] Shao, Yichang, Yuhan Zhang, Yueru Xu, Zhirui Ye (2025). Traffic Violation Risk and Policy Response in Commercial Transport: A Spatiotemporal and Causal Analysis. IEEE 28th International Conference on Intelligent Transportation Systems.
[8] Shao, Yichang, Yi Zhang, Yuhan Zhang, Zhirui Ye, Xiaomeng Shi, Yueru Xu (2023). Classification and Analysis of Dangerous Goods Vehicle Drivers’ Naturalistic Behaviors with Advanced Driving Assistance System. Transportation Research Board 102th Annual Meeting.
[9] Shao, Yichang, Yuhan Zhang, Xuehui Jiang, Xiaomeng Shi, Yueru Xu, Zhirui Ye (2024). Investigating the Influences of Previous Negative Warning on Driver Response Time to Forward Collision Warning using Interpretable Machine Learning.Transportation Research Board 103th Annual Meeting.
[10] Shao, Yichang, Yuhan Zhang, Liyang Hu, Xiaomeng Shi, Zhirui Ye (2024). Macro-Micro Fusion in Traffic Safety: Severity Prediction and Exploration of Behavior-Cause Relationships in Accidents.Transportation Research Board 103th Annual Meeting.
[11] Shao, Yichang, Yuhan Zhang, Wei Ye, Yueru Xu, Xiaomeng Shi, Zhirui Ye (2024). Longitudinal Control Strategies based on Safety Potential Field for Autonomous Vehicles Considering Road Accident Risk. Transportation Research Board 103th Annual Meeting.
[12] Shao, Yichang, Yuhan Zhang, Wei Ye, Yueru Xu, Xiaomeng Shi, Zhirui Ye (2025). Investigating Driver Reactions and Behavioral Differences in Ramp-related Takeover Situations: Insights from Survey and Driving Simulation.Transportation Research Board 104th Annual Meeting.
[13] Shao, Yichang, Yi Zhang, Liyang Hu, Zhirui Ye, Yueru Xu, Xiaomeng Shi (2025). Integrating Mental Workload and Real-time Risk Assessment for Enhanced Driver Takeover Prediction.Transportation Research Board 104th Annual Meeting.
[14] Shao, Yichang, Yuhan Zhang, Hui Bi, Xiaomeng Shi, Yueru Xu, Zhirui Ye (2025). Lateral Control Lane-Changing Decision Model based on Driving Safety Potential Field for Connected and Automated Vehicles Considering Right-of-Way Accessibility.Transportation Research Board 104th Annual Meeting.
[15] Shao, Yichang, Hui Bi, Hao Wu, Zhirui Ye (2025). Enhanced Forward Collision Warning System for Hazmat Trucks: Adapting to Driver Behavior and Risk Levels.Transportation Research Board 104th Annual Meeting.
[16] Shao, Yichang, Yuhan Zhang, Jingwen Wang, Xiaomeng Shi, Yueru Xu, Zhirui Ye (2025). Visual Recognition Distance Prediction and Brightness Optimization Strategies for Active Luminous Guide Signs.Transportation Research Board 104th Annual Meeting.
【专利】
叶智锐，邵宜昌，施晓蒙，毕辉，张宇涵，一种基于GAT-Seq2seq模型的时空双注意力地铁客流短时预测方法（2024），ZL202111278744.6，授权.
邵宜昌，叶智锐，张艺，张宇涵，施晓蒙，一种基于车载视频识别的营运车辆驾驶员画像分类方法（2026），ZL202211018307.5，授权.
邵宜昌，叶智锐，张宇涵，陈为杰，许跃如，施晓蒙，基于交通事故知识图谱的自动驾驶接管过程仿真测试方法（2024），CN202410546129.6，实审.
【软著】
邵宜昌，毕辉，吴浩，胡里阳，张宇涵，地铁到达实时预报系统PC端V1.0（2022），登记号2022SR0066829.
邵宜昌，叶智锐，吴浩，胡里阳，王超，船舶污染物排放源强反演算法软件V1.0（2022），登记号2022SR0143146.
邵宜昌，张艺，叶智锐，施晓蒙，重点营运车辆驾驶员画像分类算法软件V1.0（2022），登记号2022SR1011755.
邵宜昌，张宇涵，杨海兵，基于视觉检测的前向碰撞预警避撞算法软件V1.0（2022），登记号2022SR1595741.
邵宜昌，叶智锐，张峻屹，吴浩，高速公路服务区能源充放监测平台V1.0（2024），登记号2024SR1939154.
邵宜昌，许跃如，张宇涵，叶智锐，基于Carla与Sumo联合仿真的危险场景驾驶模拟测试平台V1.0（2024），登记号2024SR0615225.
