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Empty vehicle redistribution and fleet size in autonomous taxi systems
VEDECOM, 77 Rue Chantiers, F-78000 Versailles, France..
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning. VEDECOM, 77 Rue Chantiers, F-78000 Versailles, France..
LogistikCtr Goteborg AB, Osbergsgatan 4 A, S-42677 Vastra Frolunda, Sweden..
VEDECOM, 77 Rue Chantiers, F-78000 Versailles, France..
2019 (English)In: IET Intelligent Transport Systems, ISSN 1751-956X, E-ISSN 1751-9578, Vol. 13, no 4, p. 677-682Article in journal (Refereed) Published
Abstract [en]

This study investigates empty vehicle redistribution algorithms for personal rapid transit and autonomous taxi services. The focus is on passenger service and operator cost. A new redistribution algorithm is presented in this study: index-based redistribution (IBR). IBR is a proactive method, meaning it takes into account both current demand and anticipated future demand, in contrast to reactive methods, which act based on current demand only. From information on currently waiting for passengers, predicted near-future demand and projected arrival of vehicles, IBR calculates an index for each vehicle station, and redistribution is done based on this index. Seven different algorithm combinations are evaluated using a test case in Paris Saclay, France (20 stations and 100 vehicles). A combination of simple nearest neighbours and IBR is shown to be promising. Its results outperform the other methods tested in peak and off-peak demand, in terms of average and maximum passenger waiting times as well as station queue length. The effect of vehicle fleet size on generalised cost is analysed. Waiting times, mileage and fleet size are taken into account while assessing this generalised cost.

Place, publisher, year, edition, pages
INST ENGINEERING TECHNOLOGY-IET , 2019. Vol. 13, no 4, p. 677-682
Keywords [en]
road vehicles, rapid transit systems, transportation, queueing theory, traffic engineering computing, vehicle fleet size, generalised cost, mileage, autonomous taxi systems, vehicle redistribution algorithms, personal rapid transit, autonomous taxi services, passenger service, operator cost, redistribution algorithm, index-based redistribution, IBR, proactive method, current demand, passengers, predicted near-future demand, vehicle station, seven different algorithm combinations, test case, off-peak demand, average passenger waiting times, maximum passenger waiting times, station queue length, SROCHERS M, 1992, OPERATIONS RESEARCH, V40, P342
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-249804DOI: 10.1049/iet-its.2018.5260ISI: 000463070200014Scopus ID: 2-s2.0-85063885037OAI: oai:DiVA.org:kth-249804DiVA, id: diva2:1306281
Note

QC 20190423

Available from: 2019-04-23 Created: 2019-04-23 Last updated: 2019-04-23Bibliographically approved

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