No time for stopping: A Stop-Less Autonomous Modular (SLAM) bus service

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY Transportation Research Part C-Emerging Technologies Pub Date : 2024-11-29 DOI:10.1016/j.trc.2024.104888
Zaid Saeed Khan , Mónica Menéndez
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引用次数: 0

Abstract

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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