Sharath, M.N., Mehran, B., Ashraf, A. et al. (2 more authors) (Cover date: November 2024) Optimizing travel costs of feeder-integrated public transport system: A methodology. Transportation Research Interdisciplinary Perspectives, 28. 101289. ISSN 2590-1982
Abstract
Canada, with a substantial contribution from the personal transport sector, is a major per capita greenhouse gas emitter. This study advocates a sustainable 3-echelon transportation system, integrating Public Transit (PuT) and demand-responsive transit (DRT) for door-to-door service. Electric autonomous DRT vehicles serve the first and third legs of travel, while the second leg relies on PuT. The goal is to identify routes for commuters simultaneously optimizing user, operator, and emission costs. A novel evolutionary algorithm, guided by fuzzy inference systems, optimizes travel costs. The algorithm is calibrated, and its performance is validated against benchmark instances. The proposed optimization framework demonstrates superior performance, achieving quick convergence even for large instances with over 5,000 billion possible routes. Near-optimal routing solutions for sizable scenarios with approximately 100 commuters, 250 PuT nodes, and 50 DRT vehicles can be computed within approximately 20 min.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/). |
Keywords: | 3-echelon vehicle routing, Multi-objective optimization, Fuzzy inference systems, Demand-responsive sustainable public transportation, Evolutionary algorithm |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Jan 2025 10:05 |
Last Modified: | 08 Jan 2025 10:05 |
Published Version: | https://www.sciencedirect.com/science/article/pii/... |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trip.2024.101289 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:221451 |
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