摘要
以乘客费用最小为优化目标,以各种客运方式(地铁、轻轨和常规公交)的发车间隔为决策变量,以各方式的车辆配置及各方式间的运能匹配为约束条件,建立了综合客运枢纽内各方式协调的调度模型,利用Matlab遗传算法工具箱对模型进行求解,并以北京市西直门综合客运枢纽为例对模型进行验证.结果表明,实施协调调度后乘客费用显著减少,所建立的模型能够较好地解决枢纽内各方式间的协调调度问题.
Proposed in this paper is a coordinated scheduling model of different traffic modes in a comprehensive passenger transport hub, with the minimum passenger cost as the optimization objective, the departure intervals of different modes （subway, light rail and bus） as the decision variables and with the vehicle configuration and trans- portation capacity matching as the constraint conditions. Then, by using the genetic algorithm toolbox in Matlab, the model is solved and is finally verified with the survey data in Xizhimen transportation hub in Beijing. The re- suits indicate that, after the coordinated scheduling, the passenger cost greatly reduces, and that the proposed model effectively solves the scheduling problem of comprehensive passenger transport hub.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2010年第3期53-57,63,共6页
Journal of South China University of Technology(Natural Science Edition)
基金
国家"863"计划资助项目(2007AA11Z12)
关键词
综合客运枢纽
协调调度
乘客费用
发车间隔
遗传算法
comprehensive passenger transport hub
coordinated scheduling
passenger cost
departure interval
genetic algorithm
