ITSC 2025 Paper Abstract

Paper VP-VP.124

Xiao, Zhongzheng (Beijing Jiaotong University), Li, Haiying (Beijing Jiaotong University), Liao, Zhengwen (Beijing Jiaotong University)

Metro Train Rescheduling Considering Vehicle Deadhead Routing

Scheduled for presentation during the Video Session "On-Demand Video Presentations" (VP-VP), Saturday, November 22, 2025, 08:00−18:00, On-Demand Platform

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on April 2, 2026

Keywords Integrated Traffic Management for Multi-modal Transport Networks, Real-time Coordination of Air, Road, and Rail Transport for Incident Management, Multimodal Transportation Networks for Efficient Urban Mobility

Abstract

Urban rail systems often experience significant operational mismatches between timetables and rolling stock assignments during long-term disruptions. This study addresses such disruptions by developing an integrated optimization model for train and rolling stock rescheduling, taking into account the deadhead routing problem. The model is formulated within a discrete time-space network framework with mesoscopic granularity, aiming to minimize costs related to train arrival delays, deadhead times, and train cancellations. A commercial solver (GUROBI) is used to solve the model. The results demonstrate that this integrated approach enhances the coordination of train operations and rolling stock assignments, while optimizing deadhead routes, which offers significant practical benefits for urban rail systems.