基于动态需求响应的短距离干线接驳巴士网络设计

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Algorithms Pub Date : 2023-10-31 DOI:10.3390/a16110506
Amirreza Nickkar, Young-Jae Lee
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引用次数: 0

摘要

最近技术的进步增加了需求响应支线运输服务的潜力,以提高公共交通有限地区的机动性。对于较长的轨道进尺,接驳巴士网络算法比较简单,因为最大接驳服务周期时间由轨道进尺决定,不需要进行车车匹配。然而,对于较短的轨道,该算法必须同时解决乘客-馈线-公共汽车和馈线-公共汽车-列车的匹配问题。本研究提出一种模拟退火(SA)演算法,用于灵活的接驳巴士路线,以适应不同车站和列车的短车头干线和多次巴士重新安置。以5分钟车头距轨道干线为例,对该算法进行了验证。该算法有效地管理了特定站点无法实现最优路线时的公交重新调度。此外,该算法在考虑多个车辆重新安置的同时,考虑了车辆运营费用和乘客车内旅行时间成本,使总成本最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Demand-Responsive Feeder Bus Network Design for a Short Headway Trunk Line
Recent advancements in technology have increased the potential for demand-responsive feeder transit services to enhance mobility in areas with limited public transit access. For long rail headways, feeder bus network algorithms are straightforward, as the maximum feeder service cycle time is determined by rail headway, and bus–train matching is unnecessary. However, for short rail headways, the algorithm must address both passenger–feeder-bus and feeder-bus–train matching. This study presents a simulated annealing (SA) algorithm for flexible feeder bus routing, accommodating short headway trunk lines and multiple bus relocations for various stations and trains. A 5 min headway rail trunk line example was utilized to test the algorithm. The algorithm effectively managed bus relocations when optimal routes were infeasible at specific stations. Additionally, the algorithm minimized total costs, accounting for vehicle operating expenses and passenger in-vehicle travel time costs, while considering multiple vehicle relocations.
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来源期刊
Algorithms
Algorithms Mathematics-Numerical Analysis
CiteScore
4.10
自引率
4.30%
发文量
394
审稿时长
11 weeks
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