备份
TRIPS体系结构
电池(电)
公共交通
软件部署
收入
运输工程
车队管理
服务(商务)
计算机科学
汽车工程
运筹学
工程类
业务
财务
操作系统
物理
数据库
营销
功率(物理)
量子力学
作者
Denise McCabe,Xuegang Ban
标识
DOI:10.1016/j.trc.2023.104157
摘要
Public transit agencies across the world are rapidly converting their bus fleets from diesel or hybrid powertrains to battery-electric propulsion systems. To realize the benefits of the transition to battery-electric buses (BEBs) while retaining acceptable quality of service and limiting capital costs, agencies must intelligently decide where to locate recharging infrastructure. While most agencies electrifying their fleets plan to install chargers at bases where buses are kept overnight, a question faced by many fleet operators is where to install layover chargers that provide additional energy while buses are in operation during the day. To address this challenge, this work presents a mixed-integer linear programming model, referred to as BEB-OCL (BEB Optimal Charger Location), that optimizes the tradeoff between upfront charging infrastructure costs and operational performance. The key decision variables include the locations at which to install chargers, the number of chargers installed at each chosen location, and the location, duration, and sequence of charger visits for each bus. We also introduce a second optimization model, referred to as BEB-BRP (BEB Block Revision Problem), that revises vehicle schedules by dispatching backup buses to serve some trips so that buses do not run out of battery and all passenger trips are still completed as scheduled. The models are applied to a case study of the highest-ridership bus routes in King County, WA, USA, where an electric bus deployment is currently underway.
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