Volume 9 Number 5 (May 2014)
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JSW 2014 Vol.9(5): 1121-1128 ISSN: 1796-217X
doi: 10.4304/jsw.9.5.1121-1128

Service Planning System for Large-scale High Speed Railway Network

Zhenhuan He, Lei Nie, Huiling Fu
School of Traffic& Transportation, Beijing Jiaotong University, Beijing, China

Abstract—Due to its important role in high speed railway operation, service planning is always focused on by the researchers. With the development of computer technology, some systems have been researched to help operators and researchers to get satisfied service plan. The paper researches such a system for large-scale high speed railway network. It analyzes the main process of service planning firstly and presents the mainframe of the system based on the construction principle of multi-stages and multi-levels. The related key technologies are researched consequently. For highly applicable system control, a highly configurable system control method is put forward to control the runtime environment and optimizing process flexibly. Then a system construction technique based on multi-level loosely coupled bus and hierarchical control is proposed. The multi-granularity data management with strong constraints is also researched for the large-scale data management with complicated relationship. Finally, the demonstration of train service planning in multi-granularity is researched in order to provide strong and intelligent support for users’ decision from different views. The system has been developed by C#. Its feasibility and effectiveness have been proven by a sample of service planning for a network relative to Jinghu high speed railway.

Index Terms—train service planning, high speed railway, information technology, railway traffic and transportation

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Cite: Zhenhuan He, Lei Nie, Huiling Fu, "Service Planning System for Large-scale High Speed Railway Network," Journal of Software vol. 9, no. 5, pp. 1121-1128, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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