Towards building intelligent transportation information service system on grid

Authors:
Ying Li;Minglu Li;Jiao Cao;Xinhong Wu;Linpeng Huang;Ruonan Rao;Xinhua Lin;Changjun Jiang;Min-You Wu
Affiliations:
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Shanghai Urban Transportation Information Center;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Tongji University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
Venue:
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
Year:
2006

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Abstract

Poor interpretability of current transportation systems has become an obstacle to further develop the intelligent transportation systems (ITS). Our design and implementation of intelligent transportation information service systems (ITIS) focuses on integrating heterogeneous data, transportation systems, and resources by using the grid technique. The ITIS project will refine and summarize the business model in Shanghai transportation information service system, design and set up open standards for intelligent transportation information service and simulation, develop grid supporting platform for transportation information service, integrate and fuse massive dynamic transportation data and legacy transportation systems, construct high performance computing (HPC) platform and dynamic parallel transportation simulation platform. ITIS will provide various high-level transportation information services for both citizens and government, which include optimal dynamic bus riding planning service, dynamic on-board navigation service, bus arrival-time prediction service, network optimization and simulation system, large-scale traffic-flow simulation system. Using these services will help to reduce the traffic congestion and other traffic problems, enhancing the transportation intelligence.