影响因子：7.2
DOI码：10.1109/TTE.2024.3442084
所属单位：交通运输与物流学院
发表刊物：IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
关键字：Charging-on-the-move public transit system (CPTS); modular vehicle; electric bus; traveling salesman problem; energy consumption; passenger travel cost
摘要：The introduction of electric vehicles (EVs) into public transit systems poses challenges in harmonizing charging requirements with vehicle operations, especially during rush hours. In this study, we propose a Charging-on-the-move Public Transit System (CPTS) based on existing feasible technologies. This system adopts electric-driven modular vehicle units, including Modular Trolleybuses (MT) and Modular Buses (MB). These modular vehicle units can seamlessly join and detach during operation. The MT acquires power from the overhead catenary via a pantograph, enabling the charging of MBs on the move when they join into the same platoon. The optimization problem of CPTS is formulated as a sub-station-to-main station assignment (S2Ma) problem and a passenger-to-MB assignment (P2Ma) problem, aiming to jointly minimize system energy consumption and passenger travel costs. We introduce a nested genetic algorithm that incorporates the Lin–Kernighan-Helsgaun (LKH) traveling salesman problem (TSP) solver to address the proposed optimization model for CPTS. The case study, based on real road networks and actual demands not only demonstrates the superiority of the solution algorithm proposed in this paper but also proves that CPTS has advantages in transportation services compared to traditional public transit and taxi services. Sensitivity analyses go a step further in clarifying how changes in both demand and supply of CPTS affect its performance, offering valuable managerial insights.
合写作者：Hongbo Yi, Yugang Liu, Hongtai Yang,Monica Menendez
第一作者：Hongbo Yi
通讯作者：Yugang Liu
一级学科：交通运输工程
卷号：Early Access
页面范围：1-11
ISSN号：2332-7782
是否译文：否