摘要
通过构建节点重要度评价指标体系,实现高速铁路客运节点等级划分。以旅客损失时间最少、车辆空走距离最短、停站总次数最少为目标函数,再以不同等级节点服务频率、OD服务频率、客流量和单次列车停站次数为约束条件,构建高速铁路列车停站方案的多目标优化模型,运用线性加权组合法将该模型转化成单目标规划模型,并设计遗传算法求解。通过对武广高铁的实例研究表明,根据本文模型及算法得到的新停站方案在旅客旅行时间和运输效益方面优于既有方案。
According to the construction of node importance evaluation index system, this study classifies high-speed railway passenger transport nodes. This paper develops a multi-objective high-speed railway stopping scheme optimization model with the objectives of minimizing passenger time loss, idle train travelling distance, total stops of each train and under the constraints of node service frequency, origin-destination（O-D）service frequency, passenger flows and the number of train stops. Based on the linear weighted combination method, the multi-objective model was converted into a set of decomposed single-objective models, which are solved using the Genetic Algorithm （GA） .Acase study of Wuhan-Guangzhouhigh-speedrailway shows that the obtained solution is better than the existing scheme in terms of passenger travel time and transportation efficiency.
作者
黄林尧
吕红霞
杜毓祥
王文宪
HUANG Lin-yao LV Hong-xia DU Yu-xiang WANG Wen-xian(School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China National Railway Train Diagram Research and Training Center, Southwest Jiaotong University, Chengdu 610031, China National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, China)
出处
《交通运输工程与信息学报》
2017年第3期49-57,共9页
Journal of Transportation Engineering and Information
基金
国家自然科学基金(61273242,61403317)
四川省科技厅软科学计划项目(2015ZR0141)
中央高校基本科研业务费专项资金资助(2682015CX043)
中国铁路总公司科技研究计划项目(2015X008-B,2014X004-D)
关键词
高速铁路
停站方案
节点重要度
优化模型
武广高铁
High speed railway
stopping scheme
node importance degree
optimization model
Wuhan-Guangzhou high-speed railway
