Title :
TrafficView: a scalable traffic monitoring system
Author :
Nadeem, Tamer ; Dashtinezhad, Sasan ; Liao, Chunyuan ; Iftode, Liviu
Author_Institution :
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
Abstract :
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 such 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.
Keywords :
mobile communication; monitoring; road traffic; road vehicles; traffic information systems; transportation; TrafficView; dynamic route scheduling; e-Road project; emergency message dissemination; information dissemination; intelligent transportation system; inter-vehicle communication; optimal route; road traffic information; safe driving; scalable traffic monitoring system; traffic condition monitoring; vehicles; Computer science; Condition monitoring; Dynamic scheduling; Intelligent transportation systems; Pervasive computing; Real time systems; Road accidents; Road vehicles; Vehicle driving; Vehicle dynamics;
Conference_Titel :
Mobile Data Management, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7695-2070-7
DOI :
10.1109/MDM.2004.1263039