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2004 IEEE International Conference on Mobile Data Management (MDM'04)
TrafficView: A Scalable Traffic Monitoring System
Berkeley, California
January 19-January 22
ISBN: 0-7695-2070-7
Tamer Nadeem, University of Maryland
Sasan Dashtinezhad, University of Maryland
Chunyuan Liao, University of Maryland
Liviu Iftode, Rutgers University
Vehicles are part of people?s life in modern society, into which more and more high-tech devices are integrated, and a common platform for inter-vehicle communication is necessary to realize an intelligent transportation system supporting safe driving, dynamic route scheduling, emergency message dissemination, and traffic condition monitoring. TrafficView, which is a part of the e-Road project, defines a framework to disseminate and gather information about the vehicles on the road. Using such a system will provide a vehicle driver with road traffic information, which helps driving in situations as foggy weather, or finding an optimal route in a trip several miles long. This paper describes the basic design of TrafficView and different algorithms used in the system.
Citation:
Tamer Nadeem, Sasan Dashtinezhad, Chunyuan Liao, Liviu Iftode, "TrafficView: A Scalable Traffic Monitoring System," mdm, pp.13, 2004 IEEE International Conference on Mobile Data Management (MDM'04), 2004
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