Passenger-Centric Integrated Timetable Rescheduling for High-Speed Railways Under Multiple Disruptions

Letian Fan, Ke Qiao, Yongsheng Chen, Meiling Hui, Tiqiang Shen and Pengcheng Wen ()
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Letian Fan: Zhan Tianyou College (CRRC College), Dalian Jiaotong University, Dalian 116028, China
Ke Qiao: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Yongsheng Chen: CRRC Tangshan Co., Ltd., Tangshan 064000, China
Meiling Hui: CRRC Tangshan Co., Ltd., Tangshan 064000, China
Tiqiang Shen: CRRC Tangshan Co., Ltd., Tangshan 064000, China
Pengcheng Wen: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

Sustainability, 2025, vol. 17, issue 12, 1-23

Abstract: In high-speed railway networks, multiple spatiotemporal correlated disruptions often cause passenger trip failures and delay propagation. Conventional single-disruption rescheduling strategies struggle to resolve such cross-line conflicts, necessitating an integrated, passenger-centric rescheduling framework for multiple correlated disruptions. This paper proposes a mixed-integer linear programming (MILP) model to minimize total passenger delay time and trip failures under scenarios involving disruptions that are geographically dispersed but operationally interconnected. Two rescheduling mechanisms are introduced: a stepwise rescheduling method, which iteratively applies single-disruption models to optimize local problems, and an integrated rescheduling method, which simultaneously considers the global impact of all disruptions. Case studies on a real-world China’s high-speed railway network (29 stations, 42 trains, and 36,193 passenger trips) demonstrate that the proposed integrated rescheduling method reduces total passenger delays by 13% and trip failures by 67% within a 300 s computational threshold. By systematically coordinating spatiotemporal interdependencies among disruptions, this approach enhances network accessibility and service quality while ensuring operational safety, providing theoretical foundations for intelligent railway rescheduling.

Keywords: high-speed railway; timetable rescheduling; multiple disruptions; passenger delays (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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