DocumentCode :
2966914
Title :
Research on Grid-Based Traffic Simulation Platform
Author :
Wu, Jiankun ; Huang, Linpeng ; Cao, Jian ; Li, Minglu ; Wang, Xin
Author_Institution :
Dept. of Comput. Sci., Shanghai Jiaotong Univ.
fYear :
2006
fDate :
Dec. 2006
Firstpage :
411
Lastpage :
420
Abstract :
With the improvement of the traffic complexity extent, the solution of traffic problems becomes more and more difficult in the reality, so traffic simulation is an effective method for analyzing the traffic states and problems. As the simulation area becomes larger and more complicate, which requires large computing and storage resources, it can´t be resolved by the traditional computing technology. Due to grid technology´s advantages on such aspects, a new simulation architecture named GHA, which implements the HLA ´s component as grid service and combined with the agent technology is presented in this paper. Thus the simulation architecture can offer high-capable computing resources to solve the complex traffic issues with great expansibility and flexibility; moreover, it also makes solid foundation to the authenticity of traffic simulation by adopting agent model the character of traffic entity. At last, a traffic simulation platform is implemented based on GHA and the performance tests are given
Keywords :
grid computing; software agents; software architecture; traffic engineering computing; GHA; HLA; agent technology; computing technology; grid service; grid technology; grid-based traffic simulation platform; simulation architecture; storage resources; traffic complexity; Analytical models; Computational modeling; Computer architecture; Computer science; Computer simulation; Grid computing; Internet; Skeleton; Solid modeling; Traffic control; Agent; Grid; HLA; Traffic Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing, 2006. APSCC '06. IEEE Asia-Pacific Conference on
Conference_Location :
Guangzhou, Guangdong
Print_ISBN :
0-7695-2751-5
Type :
conf
DOI :
10.1109/APSCC.2006.86
Filename :
4041266
Link To Document :
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