经管学院“工程管理论坛”系列讲座 （2024年第6期，总第40期）
讲座题目：Optimizing First and Last Train Schedules for Non-Traffic Hour Maintenance Window to Enhance the Resilience of the Mass Transit Railway System
讲座时间：2024.4.22（周一）16:00-17:30
讲座地点：新主楼A949
主讲人：杨海 讲座教授，香港科技大学土木与环境工程系
主持人：李欣蔚 副教授
讲座嘉宾 简介
Prof. Hai Yang is currently a Chair Professor at The Hong Kong University of Science and Technology. He is internationally known as an active scholar in the field of transportation, with more than 300 papers published in SCI/SSCI indexed journals and a SCI H-index citation rate of 69. Most of his publications appeared in leading international journals, such as Transportation Research, Transportation Science and Operations Research. Prof. Yang received a number of national and international awards, including 2020 Frank M. Masters Transportation Engineering Award and 2021 Francis C. Turner Award of American Society of Civil Engineers; National Natural Science Award bestowed by the State Council of PR China (2011). He was appointed as Chang Jiang Chair Professor of the Ministry of Education of PR China and served as the Editor-in-Chief of Transportation Research (TR) Part B: Methodological from 2013 to 2018, a prestigious journal in the field of transportation. Currently, Professor Yang serves on the Distinguished Editorial Board of TR Part B, Scientific Council of TR Part C: Emerging Technologies, and serves as an Advisory Editor of Transportation Science.
讲座概要
Regular maintenance work is crucial for city metro systems to maintain resilience and prevent unexpected disruptions. However, the availability of non-traffic hour (NTH) for maintenance work is dependent on the daily last train and first train service schedules. Optimizing the schedules of the last few late-night trains and the first few early-morning trains for each line, as well as their coordination across the entire network, is essential to improve train services while meeting the requirement of the NTH maintenance window. This talk proposes a multi-objective model to determine the late-night train schedule and service end time, as well as the early-morning train schedule and service start time on a single line while considering the NTH maintenance window requirement. The problem formulation is extended to a network, and network coordination is optimized to maximize late-night destination reachability and minimize passenger transfer waiting time for the first available train at each transfer station. The proposed approach aims to improve train services and passenger satisfaction while ensuring regular maintenance work is carried out efficiently.
