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StreetSmart Traffic: Discovering and Disseminating Automobile Congestion Using VANETsTweetAuthors: 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 Available for download as
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