火车
重定时
持续时间(音乐)
计算机科学
解算器
禁忌搜索
地铁列车时刻表
服务质量
实时计算
服务(商务)
模拟
工程类
运筹学
算法
操作系统
文学类
经济
地图学
艺术
经济
程序设计语言
地理
作者
Qiaozhen Zhu,Yun Bai,Lin Yang,Yao Chen,Dongyang Yan
标识
DOI:10.1080/21680566.2023.2203847
摘要
Train failures may lead to disruptions of train operations and degradation of the service quality. This situation requires a quick turnaround to rescue the disabled train and reschedule the timetable. This paper proposes a collaborative model to optimise train rescue operations and timetable rescheduling, which includes retiming, cancelling trains, skip-stopping, and inserting additional trains. The model objective is to minimise train rescue duration and the number of stranded passengers. A tabu search algorithm combined with solver GUROBI is designed to solve the model. Case studies show that the proposed method reduces the number of stranded passengers by 28.6% at the cost of 5% increment of train rescue duration compared to the sequential method which finds the rescue operations first and then reschedules the train timetable. Moreover, the results indicate that inserting additional trains and skip-stopping are effective in improving service quality during disruptions.
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