Electrification of a citywide bus network: A data-driven micro-simulation approach

Document Type

Journal Article

Publication Date

2023

Subject Area

place - north america, place - urban, mode - bus, infrastructure - fleet management, infrastructure - maintainance, infrastructure - vehicle, technology - alternative fuels, technology - emissions, technology - geographic information systems, economics - operating costs, planning - service level, planning - methods

Keywords

charging infrastructure, electric bus

Abstract

This paper developed a data-driven micro-simulation optimization model to deploy charging infrastructure for a large-scale electric bus network, considering both traditional charging posts and wireless charging lanes (WCLs). The optimization model has two objectives: 1) minimize the total system cost and 2) maximize the level of service. We used New York City as the study area, and one-day GPS trajectories of 3,133 buses were analyzed to develop the micro-simulation approach, so as to represent the bus operation well. The results showed that the scenario with both charging posts and WCLs deployed had a significantly higher level of service (with its total delay time being 48.11% shorter), more energy saved and fewer emissions than the scenario with only charging posts deployed, though its total cost was 0.76% higher. Moreover, the sensitivity analysis results show that the parameters associated with electric buses and charging facilities could heavily influence the outputs of interest.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Transportation Research Part D Home Page:

http://www.sciencedirect.com/science/journal/13619209

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