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Bi-Objective Optimization for Battery Electric Bus Deployment Considering Cost and Environmental Equity

Publication Year: 2021

Author(s): Zhou Y, Liu XC, Wei R, Golub A

Abstract:

This research presents a bi-objective optimization model for Battery Electric Bus (BEB) deployment to consider constraints unique to the BEB system and address the trade-off between environmental equity for the disadvantaged population and capital investment. The model is further demonstrated using the transit system operated by the Utah Transit Authority (UTA) to offer insights into the benefits gained from BEB deployment. Optimal deployment plans under different budgets are provided to illustrate the effectiveness of the model. The trade-offs in each of the plans are further discussed and compared. This research set the foundation for transit agencies to develop optimal deployment strategies for BEB systems when multiple goals need to be considered, allowing planners and decision-makers to create a transportation ecosystem that better serves livable and sustainable communities.

Source of Publication: IEEE Transactions on Intelligent Transportation Systems

Vol/Issue: 22(4): 2487-2497p.

DOI No.: 10.1109/TITS.2020.3043687

Publisher/Organisation: Institute of Electrical and Electronics Engineers Inc.

Rights: Institute of Electrical and Electronics Engineers (IEEE)

URL:
https://ieeexplore.ieee.org/document/9310704

Theme: Vehicle Technology | Subtheme: Electric vehicles

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