DocumentCode
2852128
Title
A Study on a Simplified Modeling Algorithm and Its Application in Rail Transit Network
Author
Su, Houqin ; He, Jinchuan ; Xu, Xiaolei ; Feng, Juan
Author_Institution
Coll. of Comput. Sci. & Technol., Donghua Univ., Shanghai, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
5
Abstract
It is still a technique "bottleneck" for continuous development of the city rail transit that how to determine the transfer paths made by passengers and how to implement clearing transfer transactions and ticket revenues in the city rail transit network in which the "transfer with one ticket in station" would be implemented. In this paper, a simplified modeling algorithm of rail transit network has been studied, which is implemented in terms of the network topology graphs of 8 lines operating in Shanghai rail transit now. The situation of repairing overlap edges and identifying edges with common stations is considered in the algorithm. Some idea for quick searching of 2nd or 3rd shortest path deviated from 1st or 1st and 2nd shortest paths, and a method for replacing back of keyless nodes in the modeling algorithm are presented, as well. We also study the searching algorithm for three shortest paths with the application methods in terms of its output results of city rail transit network implemented "transfer with one ticket in station" in the article. It is possible to extend some of our ideas to the system with Kth(>3) paths.
Keywords
railway engineering; Shanghai; automatic fare collection; city rail transit; network topology graphs; rail transit network; Application software; Automatic frequency control; Cities and towns; Computer science; Helium; Network topology; Probability; Rails; Standards development; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5365459
Filename
5365459
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