修改公交路线以改善交通劣势:一种强化学习方法

IF 2 4区 工程技术 Q3 TRANSPORTATION Journal of Public Transportation Pub Date : 2023-01-01 DOI:10.1016/j.jpubtr.2023.100041
Sunhyung Yoo, Jinwoo (Brian) Lee
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引用次数: 0

摘要

传统的公交线路设计工具主要旨在最大限度地减少基于成本的目标,如乘客出行时间和/或运营商成本。这些方法有利于高需求地区分配过境服务,并有利于人口稠密地区。公共交通必须为社会弱势群体提供可行的交通服务,使他们能够开展必要的社会和经济活动。本研究在路线设计目标中使用了交通可达性措施,并通过澳大利亚悉尼彭里斯地区的案例研究证明了其影响和影响。结果表明,将无障碍性作为唯一设计目标是有局限性的。一项名为公交服务需求指数的公平措施被纳入了修订和重新分配公交服务的目标中,以改善交通弱势群体较多地区的无障碍性。强化学习用于公交线路优化。路线设计工具可用于交通规划者和运营商的路线规划和评估。该研究展示了一些不同的路线设计方法,以满足日益多样化的公共交通需求和期望。
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Revising bus routes to improve access for the transport disadvantaged: A reinforcement learning approach
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来源期刊
CiteScore
6.40
自引率
0.00%
发文量
29
审稿时长
26 days
期刊介绍: The Journal of Public Transportation, affiliated with the Center for Urban Transportation Research, is an international peer-reviewed open access journal focused on various forms of public transportation. It publishes original research from diverse academic disciplines, including engineering, economics, planning, and policy, emphasizing innovative solutions to transportation challenges. Content covers mobility services available to the general public, such as line-based services and shared fleets, offering insights beneficial to passengers, agencies, service providers, and communities.
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