没有时间停车:一种无需停车的自主模块化(SLAM)总线服务

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY
Zaid Saeed Khan , Mónica Menéndez
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引用次数: 0

摘要

我们利用自主模块化巴士的动态换乘能力,提出了SLAM巴士,这是一种新颖的巴士服务模式,为乘客提供从出发地到目的地巴士站几乎不停车的旅行体验。它通过使用辅助模块单元来实现这一点,这些模块单元在公交车站与主公交分离并连接,以服务乘客上下车,而主公交则不停车地穿越路线。结果是一个不停车的操作,消除了乘客在他们不想下车的公共汽车站停车的需要。对于繁忙的公交站点,由于不停车不能有效地服务,整辆车都停一站。该服务根据即将下车和未下车乘客的预期和实际需求,在这些运营模式之间进行预先确定和实时选择。因此,SLAM巴士服务大大减少了旅行时间,因为乘客在期望的出发地和目的地巴士站之间需要停靠的站点更少,使其旅行时间与私家车相比更具竞争力,同时仍然提供公共交通的规模经济。我们的概念验证模拟结果表明,与同等的传统巴士服务相比,在实际的巴士路线上,建议的服务可以将乘客的平均旅行成本降低约15 - 20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
No time for stopping: A Stop-Less Autonomous Modular (SLAM) bus service
We leverage the in-motion transfer capability of autonomous modular buses to propose SLAM bus, a novel bus service paradigm that gives passengers a nearly stop-less travel experience from their origin to their destination bus stop. It does this by using supplementary modular units that detach and attach from the main bus at bus stops to serve boarding and alighting passengers, while the main bus traverses the route without stopping. The result is a stop-less operation that eliminates the need for passengers to stop at bus stops where they do not wish to alight. For busier bus stops that cannot be effectively served by the stop-less operation, the whole bus makes a stop instead. The service makes both pre-determined and real-time choices between these operating modes based on the expected and actual demand of alighting and non-alighting passengers. The SLAM bus service thus significantly reduces travel times since passengers experience fewer stops between their desired origin and destination bus stops, making its travel time more competitive with private vehicles while still providing the economies of scale of public transport. Our proof-of-concept simulation results show that, compared to an equivalent conventional bus service, the proposed service can reduce passengers’ average travel cost by about 1520% for a realistic bus route.
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来源期刊
CiteScore
15.80
自引率
12.00%
发文量
332
审稿时长
64 days
期刊介绍: Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.
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