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Bi-Objective Optimization For Battery Electric Bus Deployment Considering Cost And Environmental Equity, Xiaoyue Cathy Liu, Yirong Zhou, Ran Wei, Aaron Golub, Devin Macarthur

TREC Final Reports

Public transit, compared with passenger cars, can effectively help conserve energy, reduce air pollution, and optimize flow on roadways. In recent years, Battery Electric Bus (BEB) is receiving an increasing amount of attention from the transit vehicle industry and transit agencies due to recent advances in battery technologies and the direct environmental benefits it can offer (e.g., zero emissions, less noise). However, limited efforts have been attempted on the effective deployment planning of the BEB system due to the unique spatiotemporal features associated with the system itself (e.g., driving range, bus scheduling). In this project, we developed an innovative spatiotemporal …

Data Files: Bi-Objective Optimization For Battery Electric Bus Deployment Considering Cost And Environmental Equity, Xiaoyue Cathy Liu, Yirong Zhou, Ran Wei, Aaron Golub

TREC Datasets and Databases

This data supports the research project Bi-objective Optimization for Battery Electric Bus Deployment Considering Cost and Environmental Equity and a final report published on NITC’s website.

Dataset collected through multiple sources and organized into different formats including CSV format, JSON format, shapefile and code repository.

Context: The research project develops a bi-objective model that aims to help transit agencies to optimally deploy BEB while considering both capital investment and environmental equity. The unique spatio-temporal characteristic of BEB system, charging limitations (on-route and in-depot charging), and operational constraints are also considered and incorporated into the model.