GUPTDSS: Grid Based Urban Public Transport Decision Support System

Authors:
Yu Wang;Haigang Song;Liu Hong;Xueguang Chen
Affiliations:
Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan, China 430074;Basic Research Service of the Ministry of Science and Technology of the P. R. China, Beijing, China 100862;Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan, China 430074;Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan, China 430074
Venue:
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Year:
2009

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Abstract

The Grid-based Urban Public Transport Decision Support System (GUPTDSS) is developed to establish an open high-level information environment to support transport information management and decision-making for solving traffic problems. GUPTDSS is characterized with stronger computing and resource sharing abilities to cope with the problems that the traditional Advanced Public Transport Systems could hardly resolve, such as large-scale transport data storage, high-performance transport simulation, and cross-domain cooperation etc. This paper presents an overview of services provided by the developed GUPTDSS and the architecture in which they fit. A set of system methods are discussed as well, including semantic representation of metadata model, distributed data management, and safety strategy etc. A case study is conducted to validate this architecture.