个人信息Personal Information
出生日期:1998-10-20
入职时间:2026-07-15
学历:博士研究生毕业
学位:理学博士学位
办公地点:2号教学楼2411
性别:男
在职信息:在岗
毕业院校:北京交通大学
所在单位:交通运输与物流学院
报考该导师研究生的方式
欢迎你报考王辉老师的研究生,报考有以下方式:
1、参加西南交通大学暑期夏令营活动,提交导师意向时,选择王辉老师,你的所有申请信息将发送给王辉老师,老师看到后将和你取得联系,点击此处参加夏令营活动
2、如果你能获得所在学校的推免生资格,欢迎通过推免方式申请王辉老师研究生,可以通过系统的推免生预报名系统提交申请,并选择意向导师为王辉老师,老师看到信息后将和你取得联系,点击此处推免生预报名
3、参加全国硕士研究生统一招生考试报考王辉老师招收的专业和方向,进入复试后提交导师意向时选择王辉老师。
4、如果你有兴趣攻读王辉老师博士研究生,可以通过申请考核或者统一招考等方式报考该导师博士研究生。
Enhancing the evacuation efficiency through the two-step optimization of train timetable and response vehicles during metro disruptions

影响因子:9.3
DOI码:10.1016/j.tre.2024.103605
发表刊物:Transportation Research Part E: Logistics and Transportation Review
关键字:Metro disruption; Train timetable rescheduling; Response vehicle scheduling; Two-step optimization
摘要:Train timetable rescheduling and bus bridging service are two common measures in metro disruption management. Existing literature on train timetable rescheduling typically does not address the issue of transporting stranded passengers, and the use of a fixed operational mode in bus bridging services can lead to a loss in transport capacity. In this paper, we present a two-step optimization model that involves train timetable rescheduling and response vehicle scheduling. In the first step, the train timetable rescheduling (TTR) model aims to minimize the interests of both metro operators and passengers. Stranded passengers are distributed based on the platform holding capacity at each station, and three rescheduling strategies (cancellation, short-turning, and adjustment of the train departure time) are also adopted. In the second step, the response vehicle scheduling (RVS) model aims to provide flexible auxiliary transportation service for stranded passengers, with the goal of transporting them to their destinations as quickly as possible. Both models are coordinated to ensure the effective transport of passengers during the disruption period. Furthermore, we develop a decomposition-based heuristic framework that performs well for solving our models. Finally, we conduct several numerical experiments to test the validity of the models and algorithms. The results show that: (1) the combined rescheduling strategies can decrease the passenger waiting time and alleviate the platform pressure at each station; (2) compared with the standard bus bridging service, the response vehicle performs better in reducing both passenger total travel time and vehicle empty driving.
论文类型:SCI
卷号:188
页面范围:103605
是否译文:否
发表时间:2024-08-01
收录刊物:SCI
发布期刊链接:https://www.sciencedirect.com/science/article/pii/S1366554524001960

