DocumentCode
2625716
Title
Integrating GIS with Cellular Automaton Model for Railway Transportation Safety System
Author
Zhou, Huijuan ; Jia, Limin ; Qin, Yong
Author_Institution
Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China
Volume
5
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
503
Lastpage
507
Abstract
The railway transportation safety system is a complex dynamic system with spatio-temporal characteristics. However, currently commercial geographical information system (GIS) lacks these capabilities for spatio-temporal analysis and modeling. Cellular automaton (CA) model can provides GIS with a bottom-to-top spatio-temporal modeling frame. The simplicity and flexibility make CA able to simulate a variety of behaviors of complex systems. In order to meet the needs of spatio-temporal simulation of the railway transportation safety system, we propose a new CA model -- a safety system model for railway (SSM-R) -- to simulate the railway safety and put forward the integrated GIS and CA framework. Based on the integration method, a simulation experiment is carried out with ArcGIS Engine 9.1 and Dot Net. The results show that the model can interpret the evolutional law of the railway transportation safety system and GIS-CA integration can simulate realistic railway transportation safety system.
Keywords
cellular automata; geographic information systems; large-scale systems; rail traffic; railway safety; ArcGIS Engine 9.1; Dot Net; GIS; cellular automaton model; complex dynamic system; geographical information system; railway transportation safety system; spatio-temporal characteristics; Automata; Computer science; Displays; Geographic Information Systems; Information analysis; Predictive models; Rail transportation; Railway safety; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.821
Filename
5170586
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