公共交通中断下的个性化路径推荐
建模乘客行为的不确定性,在服务中断时为乘客推荐更具韧性的出行路径。
Transportation Science, 2025, 59 (6), 1235-1258
代表性研究
建模乘客行为的不确定性,在服务中断时为乘客推荐更具韧性的出行路径。
Transportation Science, 2025, 59 (6), 1235-1258
基于成对注意力的指针神经网络,预测司机在末端配送中的行驶轨迹。
Transportation Research Part E: Logistics and Transportation Review, 2023, 175, 103168
基于刷卡数据与聚合时空超网络,估计城市轨道乘客的路径选择。
Transportation Science, 2022, 57 (2), 313-335
研究方向
交通系统韧性 在交通系统发生事故时,如何通过高效的优化与机器学习算法,调整运营、指导乘客,让系统快速恢复。
AI for Transportation 应用于公共交通、共享出行、供应链物流等多个场景,包括基于强化学习的实时决策、时序预测大模型、交通管理 Agent 等。
出行行为与需求建模 政策分析与问卷调研、计量经济学模型应用、基于现代机器学习与优化理论改良传统计量经济学模型等。
可持续城市系统 通勤碳排放、公共健康风险、住房流动性与城市信息物理社会系统韧性,该方向主要 target 顶级跨学科期刊。
科研支持
合作院校
New paper: Large language models for travel behavior prediction appeared in Transportation Research Interdisciplinary Perspectives.
2026/03/16New paper: Resilience analysis of urban cyber-physical-social systems appeared in Reliability Engineering and System Safety.
2025/11/01New paper: Housing exchange framework to reduce carbon emissions from commuting appeared in Nature Sustainability.
2025/10/24New paper: Individual Path Recommendation Under Public Transit Service Disruptions Considering Behavior Uncertainty appeared in Transportation Science.
2025/05/30New paper: Robust binary and multinomial logit models for classification with data uncertainties appeared in European Journal of Operational Research.