Demand responsive feeder bus service using electric vehicles with timetabled transit coordination

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Abstract

Traditional bus service in low-demand areas is usually designed with a low frequency planning strategy, where buses have to visit all fixed bus stops even though some do not have any passenger requests. To improve its efficiency and reduce the negative impacts on the environment, a user-centered service can be conceived by integrating the bus service as a feeder to transit. We study this problem considering also the use of electric vehicles, which are currently being widely introduced for such services. using electric vehicles. However, most stud-ies neglect the synchronization issues of the feeder service and timetabled transit to minimize customers’ waiting time at transit stations. Moreover, existing stud-ies on electric vehicle routing problems assume charging stations to be uncapac-itated. To address these issues, this study proposes an on-demand first-mile feeder service to coordinate its service with timetabled transit using electric buses/shuttles. The problem is modeled on a departure-expanded (layered) graph and formulated as a mixed-integer linear programming problem. Several new contributions are proposed in this study: considering flexible bus stops based on meeting points (within a walking distance) of customers’ origins, coordinating bus arrival times at transit stations to minimize customers’ waiting time, and co-ordinating electric bus charging scheduling to ensure charging station capacity constraints. We conduct numerical studies on a set of instances to validate the proposed methodology.
Original languageEnglish
Title of host publicationSmart Energy for Smart Transport
Subtitle of host publicationProceedings of the 6th Conference on Sustainable Urban Mobility, CSUM2022, August 31-September 2, 2022, Skiathos Island, Greece
EditorsEftihia G. Nathanail, Nikolaos Gavanas, Giannis Adamos
Place of PublicationCham
PublisherSpringer
Pages91-103
Number of pages13
ISBN (Electronic)978-3-031-23721-8
ISBN (Print)978-3-031-23720-1
DOIs
Publication statusPublished - 11 Mar 2023

Publication series

NameLecture Notes in Intelligent Transportation and Infrastructure (LNITI)
PublisherSpringer
ISSN (Print)2523-3440
ISSN (Electronic)2523-3459

Keywords

  • Feeder Service
  • demand responsive transport
  • electric vehicle routing
  • Dynamic charging management for electric vehicle demand responsive transport

    Ma, T.-Y., 11 Mar 2023, Smart Energy for Smart Transport.: Proceedings of the 6th Conference on Sustainable Urban Mobility, CSUM2022, August 31-September 2, 2022, Skiathos Island, Greece. Nathanail, E. G., Gavanas, N. & Adamos, G. (eds.). Cham: Springer, p. 171-182 12 p. ( Lecture Notes in Intelligent Transportation and Infrastructure (LNITI)).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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