TrafficView: Towards a Scalable Traffic Monitoring System
dc.contributor.author | Nadeem, Tamer | en_US |
dc.contributor.author | Dashtinezhad, Sasan | en_US |
dc.contributor.author | Liao, Chunyuan | en_US |
dc.contributor.author | Iftode, Liviu | en_US |
dc.date.accessioned | 2004-05-31T23:32:44Z | |
dc.date.available | 2004-05-31T23:32:44Z | |
dc.date.created | 2003-10 | en_US |
dc.date.issued | 2003-11-25 | en_US |
dc.description.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 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. (UMIACS-TR-2003-98) | en_US |
dc.format.extent | 638642 bytes | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1903/1315 | |
dc.language.iso | en_US | |
dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_US |
dc.relation.isAvailableAt | University of Maryland (College Park, Md.) | en_US |
dc.relation.isAvailableAt | Tech Reports in Computer Science and Engineering | en_US |
dc.relation.isAvailableAt | UMIACS Technical Reports | en_US |
dc.relation.ispartofseries | UM Computer Science Department; CS-TR-4530 | en_US |
dc.relation.ispartofseries | UMIACS; UMIACS-TR-2003-98 | en_US |
dc.title | TrafficView: Towards a Scalable Traffic Monitoring System | en_US |
dc.type | Technical Report | en_US |
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