An Optimization to Schedule Train Operations with Phase-Regular Framework for Intercity Rail Lines

The most important operating problem for intercity rail lines, which are characterized with the train operations at rapid speed and high frequency, is to design a service-oriented schedule with the minimum cost. This paper proposes a phase-regular scheduling method which divides a day equally into s...

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Main Authors: Huimin Niu, Minghui Zhang
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2012/549374
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author Huimin Niu
Minghui Zhang
author_facet Huimin Niu
Minghui Zhang
author_sort Huimin Niu
collection DOAJ
description The most important operating problem for intercity rail lines, which are characterized with the train operations at rapid speed and high frequency, is to design a service-oriented schedule with the minimum cost. This paper proposes a phase-regular scheduling method which divides a day equally into several time blocks and applies a regular train-departing interval and the same train length for each period under the period-dependent demand conditions. A nonlinear mixed zero-one programming model, which could accurately calculate the passenger waiting time and the in-train crowded cost, is developed in this study. A hybrid genetic algorithm associated with the layered crossover and mutation operation is carefully designed to solve the proposed model. Finally, the effectiveness of the proposed model and algorithm is illustrated through the application to Hefei-Wuhan intercity rail line in China.
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institution Kabale University
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language English
publishDate 2012-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-6802ff96dbb74460928e41b43cbbd8fa2025-02-03T06:42:12ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2012-01-01201210.1155/2012/549374549374An Optimization to Schedule Train Operations with Phase-Regular Framework for Intercity Rail LinesHuimin Niu0Minghui Zhang1School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, ChinaThe most important operating problem for intercity rail lines, which are characterized with the train operations at rapid speed and high frequency, is to design a service-oriented schedule with the minimum cost. This paper proposes a phase-regular scheduling method which divides a day equally into several time blocks and applies a regular train-departing interval and the same train length for each period under the period-dependent demand conditions. A nonlinear mixed zero-one programming model, which could accurately calculate the passenger waiting time and the in-train crowded cost, is developed in this study. A hybrid genetic algorithm associated with the layered crossover and mutation operation is carefully designed to solve the proposed model. Finally, the effectiveness of the proposed model and algorithm is illustrated through the application to Hefei-Wuhan intercity rail line in China.http://dx.doi.org/10.1155/2012/549374
spellingShingle Huimin Niu
Minghui Zhang
An Optimization to Schedule Train Operations with Phase-Regular Framework for Intercity Rail Lines
Discrete Dynamics in Nature and Society
title An Optimization to Schedule Train Operations with Phase-Regular Framework for Intercity Rail Lines
title_full An Optimization to Schedule Train Operations with Phase-Regular Framework for Intercity Rail Lines
title_fullStr An Optimization to Schedule Train Operations with Phase-Regular Framework for Intercity Rail Lines
title_full_unstemmed An Optimization to Schedule Train Operations with Phase-Regular Framework for Intercity Rail Lines
title_short An Optimization to Schedule Train Operations with Phase-Regular Framework for Intercity Rail Lines
title_sort optimization to schedule train operations with phase regular framework for intercity rail lines
url http://dx.doi.org/10.1155/2012/549374
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