交通运输研究2023，Vol.9Issue(6)：21-33,13.DOI:10.16503/j.cnki.2095-9931.2023.06.003
共线运营条件下双源无轨电车多车型协调优化
Coordinated Optimization of Multi-Vehicle Types of Dual-Source Trolleybuses along Common Corridors
摘要
Abstract
To cope with the node congestion problem in the dual-source trolleybus system,a multi-vehicle type scheduling optimization method was proposed.Firstly,the maximum number of vehicles appearing at the same time was defined as the number of berths required by the station,in order to ensure sufficient parking spaces and reduce the probability of congestion caused by vehicle queues occupying lanes.On this basis,a bi-objective mixed-integer optimization model was established,considering the operation character-istics of dual-source trolleybuses and the uneven distribution of passenger flow in time and space.Its aim was to minimize enterprise operating costs and the number of berths required at shared stations.By ad-justing vehicle configurations and departure intervals,the optimal multi-vehicle schedule for both di-rections was determined,and a customized MOPSO(Multi-Objective Particle Swarm Optimization)al-gorithm was designed for solving.Finally,experimental verification was conducted using four dual-source trolleybus lines in Beijing as examples.The results showed that compared to the uniform depar-ture schedule under single-vehicle type,the optimized schedule of multi-vehicle types effectively bal-anced the maximum passenger capacity of the three commonly used vehicle types and avoided vehi-cles encountering at operating devices.It resulted in a maximum reduction of approximately 26.9%in operating costs and a maximum reduction of approximately 25.5%in the number of berths required at shared stations.It indicates that the proposed method can effectively reduce enterprise operating costs and the number of berths required,shorten the maximum queue length of vehicles at stations,and alle-viate congestion in the dual-source trolleybus system.关键词
城市交通/时刻表优化/多车型/双源无轨电车/多目标粒子群/泊位Key words
urban transport/timetable optimization/multiple-vehicle types/dual-source trolleybus/Multi-Objective Particle Swarm Optimization(MOPSO)/berth分类
交通工程引用本文复制引用
胡宝雨,高成,卢萌萌..共线运营条件下双源无轨电车多车型协调优化[J].交通运输研究,2023,9(6):21-33,13.基金项目
教育部人文社会科学研究青年基金项目(19YJCZH052) （19YJCZH052）
国家自然科学基金项目(71901056) （71901056）
黑龙江省自然科学基金项目(YQ2022E003) （YQ2022E003）
