Vehicular Technology Conference

StreetSmart Traffic: Discovering and Disseminating Automobile Congestion Using VANETs

Sandor Dornbush and Anupam Joshi

April 22, 2007

Automobile traffic is a major problem in developed societies. We collectively waste huge amounts of time and resources traveling through traffic congestion. Drivers choose the route that they believe will be the fastest; however traffic congestion can significantly change the duration of a trip. Significant savings of fuel and time could be achieved if traffic congestion patterns could be effectively discovered and disseminated to drivers. We propose a system that uses a standard GPS driving aid, augmented with peer-to-peer wireless communication. The prosed system uses a combination of clustering and epidemic communication to find and disseminate dynamic traffic patterns.

BibTeX OWL Tweet Scholar

Tags: clustering, data mining, traffic, vanet

Type: InProceedings

Organization: IEEE

Address: Dublin, Ireland

Edition: 65th

Downloads: 4243 downloads

Google Scholar Citations: 40 citations