Abstract
Intelligent Transportation System (ITS) refers to the use of information technologies to address and alleviate transportation problems. The challenges of ITS exist mainly in synthesizing information from geographically distributed, dynamic and heterogeneous databases, specialized sensors and other systems. This synthesis process is computation and communication intensive. Computational Grid is a promising platform for such large-scale data-intensive applications. Building on grid computing technologies, this paper presents a novel infrastructure referred to as Traffic Information Grid (TIG) for ITS development and deployment. The service-oriented and layered system architecture of TIG is introduced and described. Two implementation modes-request/response mode and subscribe/notify mode are presented and evaluated with real traffic data respectively. In addition, an example application is given to illustrate how the TIG works. Based on the practice of TIG, Grid computing is proved to be an effective solution for data-intensive applications.
This work was supported in part by Grand 60373094 of National Natural Science Foundation of China and Grand 2002CB312003 of High Tech. Research and Development (973) Programme, China.
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Tan, G., Li, C., Wu, J. (2005). A Service-Oriented Framework for Traffic Information Grid. In: Herrero, P., Pérez, M.S., Robles, V. (eds) Scientific Applications of Grid Computing. SAG 2004. Lecture Notes in Computer Science, vol 3458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11423287_18
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DOI: https://doi.org/10.1007/11423287_18
Publisher Name: Springer, Berlin, Heidelberg
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