Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/147726
Title: A hybrid methodology for optimal fleet management in an electric vehicle based flexible bus service
Authors: Perera, Thilina
Prakash, Alok
Srikanthan, Thambipillai
Keywords: Engineering::Computer science and engineering
Issue Date: 2018
Source: Perera, T., Prakash, A. & Srikanthan, T. (2018). A hybrid methodology for optimal fleet management in an electric vehicle based flexible bus service. ICARCV 2018, 331-336. https://dx.doi.org/10.1109/ICARCV.2018.8581345
Project: NRF TUMCREATE
Abstract: The ever-increasing traffic congestion and CO-{2} emission caused by rapid urbanization, calls for smarter and energy efficient transit services. Conventional public transit lacks the ability to meet these diversified needs. As a result, intelligent transit systems, influenced by the digital revolution have created a profound impact by enhancing the user-experience of transit services. Consequently, demand responsive transit (DRT) services, which operate with flexible routes and schedules have become a common option among commuters. Thus, in this work, we propose an electric vehicle (EV) based flexible bus service, a variant of DRT, that satisfies passenger demand in a given geographical zone. Next, we present a hybrid methodology to optimally manage the EV fleet minimizing the total vehicle miles travelled (VMT). Experimental results with a real map show that the proposed hybrid method achieves near-optimal results with 120x improvement in computation time. Further, the flexible bus service reduces VMT by over 70% in comparison to single occupancy vehicles, thus reducing both traffic congestion and CO-{2} emissions.
URI: https://hdl.handle.net/10356/147726
ISBN: 9781538695821
DOI: 10.1109/ICARCV.2018.8581345
Rights: © 2018 Institute of Electrical and Electronics Engineers (IEEE). All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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