StreetSmart Traffic: Discovering and Disseminating Automobile Congestion Using VANETs

Authors: Sandor Dornbush, and Anupam Joshi

Book Title: Vehicular Technology Conference

Date: April 22, 2007

Abstract: 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.

Type: InProceedings

Edition: 65th

Address: Dublin, Ireland

Organization: IEEE

Tags: clustering, data mining, traffic, vanet

Google Scholar: 39ZMkLwrOIAJ

Number of Google Scholar citations: 40 [show citations]

Number of downloads: 3436

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