Implementation of an Intelligent Urban Traffic Management System Based on a City Grid Infrastructure

• Published in: Journal of Information Science and Engineering Vol. 24; no. 6; pp. 1821 - 1836
• Main Authors: 唐飞龙(Fei-Long Tang), 过敏意(Min-Yi Guo), 李明禄(Ming-Lu Li), 王卓立(Cho-Li Wang)
• Format: Journal Article
• Language: English
• Published: Taipei 社團法人中華民國計算語言學學會 01.11.2008; Institute of Information Science, Academia sinica
• Subjects: Applied sciences; Artificial intelligence; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Exact sciences and technology; Information systems. Data bases; Memory organisation. Data processing; Software; transaction processing; workflow management; intelligent traffic management; grid computing; wireless sensor network; Encapsulation; Supercomputer; Accounting; Resource allocation; Grid; Data transmission; Data center; Distributed computing; Modeling; Adaptive method; Transaction management; Aggregation; Intelligent system; High performance; Urban traffic; Scheduling; Distributed system; Traffic management; Distributed algorithm; Computer center; Resource management; Artificial intelligence; Service oriented; Security key
• ISSN: 1016-2364
• DOI: 10.6688/JISE.2008.24.6.13

Grid computing is becoming the preferred basis for large-scale distributed computing and Internet applications. ShanghaiGrid launched in Shanghai, China is a grid: infrastructure that aggregates several heterogeneous supercomputers, data centers and other applications scattered in different organizations in Shanghai. One of the major focuses in the ShanghaiGrid project is research and development of an intelligent urban traffic management system based on the ShanghaiGrid system software. The system software provides a platform in a service-oriented way for resource encapsulation and management, service scheduling and accounting, data aggregation and adaptive transmission, as well as service composition and reliability support. This paper presents the main components of the system software, and investigates key techniques for the implementation of ShanghaiGrid and the intelligent urban traffic management system, concentrating on grid transaction and workflow management. Finally, we propose a new wireless sensor network model and routing protocol characteristic to mobile vehicles for dynamical traffic data collection.