Train Operation Intervals Optimization Based on a Group Dynamics Model

被引：0

作者：

Meng, Xuelei ^{[1
]}

Zhang, Bin ^{[2
]}

Jia, Limin ^{[3
]}

机构：

[1] Lanzhou Jiaotong Univ, Sch Traff & Transportat, 88 Anning West Rd, Lanzhou, Gansu, Peoples R China

[2] Shuo Huang Railway Dev Co Ltd, Dept Technol & Informat, Sunning, Hebei, Peoples R China

[3] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, 3 Shangyuan Cun, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES FOR RAIL TRANSPORTATION (EITRT) 2017: TRANSPORTATION | 2018年 / 483卷

基金：

中国国家自然科学基金;

关键词：

Train operation; Intervals; Group dynamics model;

D O I：

10.1007/978-981-10-7989-4_53

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Train operation interval is a most important parameter in the railway management work and train dispatching work. It also determines the capacity of the railway sections. In this paper, a train interval optimization model based on group dynamics theory is proposed. It takes the potential energy of the artificial potential field as the optimization object, which is defined with the train operation interval. And the train operation rules, especially the intervals between arrivals and departures, are designed as the constraints of the model. An immune clone algorithm is designed to solve the model. A computing case is presented, and we got the optimal intervals of trains on the timetable. The computing case proves the effectiveness of the approach. This paper presents a new method to design train intervals for timetable designers and dispatchers.

引用

页码：525 / 532

页数：8