Zhu, Mingchang (Tongji University), Zeng, Xiaoqing (Tongji University), Ngoduy, Dong (Monash University), CHEN, YINGDA (TONGJI UNIVERSITY)

Emergency Control Method of Train Rescheduling for Resilient Urban Rail Transit Networks

Scheduled for presentation during the Invited Session "S16a-Control, Communication and Emerging Technologies in Smart Rail Systems" (TH-LM-T16), Thursday, November 20, 2025, 11:10−11:30, Southport 1

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 October 18, 2025

Abstract

The urban rail transit system becomes increasingly complex and experiences higher capacity pressure with the development of cities. Consequently, operations of urban rail transit networks are vulnerable to unexpected disruptions caused by high passenger volumes, equipment failures, and natural disasters. The ability that withstand and recover from disruptions efficiently, is given more attention in enhancing the resilience of urban rail transit networks. In this paper, an emergency train rescheduling method is proposed for the urban rail transit lines, which aims to reduce delays of the timetable and facilitate the rapid restoration of normal operations during disruptions. Specifically, an event-activity network is first constructed for an urban rail transit line incorporating normal operations, short-turning activities, and flexible delay management. Then, we formulate an emergency rescheduling mixed-integer linear programming model for trains during disruptions, considering flexible short-turning, cancellation, and stop-waiting strategies on a double-track service corridor. The objective is to minimize train delays and service loss during disruptions, thereby enhancing network resilience. The optimization model is solved using a branch-and-cut framework with a series of valid inequalities. Finally, numerical experiments are conducted to validate the proposed method and model based on a Shanghai metro line. The results demonstrate the necessity of emergency control measures for trains and confirm the effectiveness of the proposed model and optimization method.