Dynamic Demand-Responsive Feeder Bus Network Design for a Short Headway Trunk Line

Author:

Nickkar Amirreza1,Lee Young-Jae1ORCID

Affiliation:

1. Department of Transportation and Urban Infrastructure Studies, Morgan State University, 1700 E. Cold Spring Lane, Baltimore, MD 21251, USA

Abstract

Recent advancements in technology have increased the potential for demand-responsive feeder transit services to enhance mobility in areas with limited public transit access. For long rail headways, feeder bus network algorithms are straightforward, as the maximum feeder service cycle time is determined by rail headway, and bus–train matching is unnecessary. However, for short rail headways, the algorithm must address both passenger–feeder-bus and feeder-bus–train matching. This study presents a simulated annealing (SA) algorithm for flexible feeder bus routing, accommodating short headway trunk lines and multiple bus relocations for various stations and trains. A 5 min headway rail trunk line example was utilized to test the algorithm. The algorithm effectively managed bus relocations when optimal routes were infeasible at specific stations. Additionally, the algorithm minimized total costs, accounting for vehicle operating expenses and passenger in-vehicle travel time costs, while considering multiple vehicle relocations.

Funder

Urban Mobility and Equity Center at Morgan Sate University

Publisher

MDPI AG

Subject

Computational Mathematics,Computational Theory and Mathematics,Numerical Analysis,Theoretical Computer Science

Reference44 articles.

1. Shared ride services in North America: Definitions, impacts, and the future of pooling;Shaheen;Transp. Rev.,2019

2. Development of an integrated flexible transport systems platform for rural areas using argumentation theory;Velaga;Res. Transp. Bus. Manag.,2012

3. Feeder transit services: Choosing between fixed and demand responsive policy;Li;Transp. Res. Part C Emerg. Technol.,2010

4. Flexible transport services: A new market opportunity for public transport;Mulley;Res. Transp. Econ.,2009

5. A simulation study of an on-demand transportation system;Archetti;Int. Trans. Oper. Res.,2018

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