Authors: Ran Wei*, University of California - Riverside
Topics: Spatial Analysis & Modeling, Geographic Information Science and Systems
Keywords: public transit; battery electric bus; charging station allocation; spatial optimization
Session Type: Paper
Start / End Time: 8:00 AM / 9:40 AM
Room: Roosevelt 4, Marriott, Exhibition Level
Presentation File: No File Uploaded
Public transit system, as an important part of multimodal transportation ecosystem, has been supporting this movement by exploring the adoption of electric vehicles. In recent years, the advancement in Battery Electric Buses (BEBs) and their supporting infrastructure technology made them a viable replacement for diesel and Compressed Natural Gas (CNG) buses. Yet, the optimal deployment of BEB system remains challenging due to unique characteristics of public transit systems. Transit vehicles must follow the exact schedule in-place which requires long daily operation time, high daily mileage, and limited dwell time. In addition, transit agencies are concerned with significant investment associated with adoption of BEBs given their limited budget. This research introduces an optimization model considering the unique features of transit system, to identify the optimal deployment strategies for BEB system. The optimal deployment strategy will minimize the deployment cost associated with vehicle procurement and charging stations allocation, while satisfying transit operation constraints such as maintaining existing bus operation schedules. The proposed optimization model is implemented on to the transit network operated by the Utah Transit Authority (UTA) to showcase its effectiveness in selecting the retrofitted buses, routes, and charging stations for BEB deployment. This research sets the foundation for agencies to evaluate the temporal capital and operational costs associated with deployment of various types of BEBs, and to make informed decisions regarding strategic planning of electric bus systems.