【讲座名称】

Modeling Crash Avoidance Behaviors in Safety-Critical Vehicle–Pedestrian Interactions Using Deep Reinforcement Learning

【主讲人】

谢琨 副教授，欧道明大学

【主讲人介绍】

Dr. Kun Xie is an Associate Professor of Transportation Engineering and Director of the Transportation Informatics Lab at Old Dominion University. He also serves as an Associate Editor for the Transportation Research Record and the IEEE Intelligent Transportation Systems Conference. His research focuses on AI-driven, data-informed, and human-centered approaches to transportation safety and resilience.

【讲座内容简介】

Traffic crashes often arise from complex, split-second interactions between vehicles and pedestrians. This seminar presents a series of studies on modeling crash avoidance behaviors using deep reinforcement learning, with a focus on safety-critical vehicle–pedestrian interactions at intersections. It introduces methods for assessing safety risks, modeling interactive decision-making, comparing automated and human-driven vehicle behaviors, and generating realistic safety-critical datasets.

【时间】

2026年5月21日（周四） 上午9:00

【地点】

犀浦校区11号教学楼304会议室

主办：研究生院 交通运输与物流学院

承办：学院学工组 交通运输科技协会 交通工程系

邀请人：翟国聪老师、胥川老师