模块化设计
公共交通
灵活性(工程)
解算器
计算机科学
运输工程
整数规划
帕累托原理
过境(卫星)
启发式
数学优化
工程类
数学
操作系统
统计
算法
人工智能
程序设计语言
作者
Zou Ke,Ke Zhang,Meng Li
标识
DOI:10.1016/j.tre.2024.103567
摘要
In urban corridor areas, profound congestion creates a pressing need for public transit to deliver efficient, flexible, and sustainable "door-to-door" services. This paper introduces a modular electrified transit system tailored for urban corridor areas (MET-CA), with a primary focus on enhancing transportation efficiency and reducing electrical energy consumption. The MET-CA system comprises two core components: mainline transit, dedicated to providing rapid services along the corridor, and feeder transit, catering to individual service zones. Seamless en-route transfers are facilitated through designated docking sections along the corridor. To rigorously address the system's optimization, we formulate it as a mixed-integer linear programming (MILP) problem on a time-expanded network. Subsequently, an inter-transit iterative heuristic with a problem-customized rolling method is developed within a bi-level framework to address the large-scale complexity. Its performance is validated through extensive numerical experiments, substantially compared to exact solutions obtained from the Cplex solver, showcasing an impressive average computation time savings of 49.7% with a minimal quality decrease of 0.18%. Through a real-world case study, Pareto optimality analysis underscores MET-CA's 24.4% average electricity savings and highlights its advantages in efficiency and flexibility over bus rapid transit and demand responsive transit in urban corridor areas.
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