UMBC ebiquity research group Building intelligent systems in open, heterogeneous, dynamic, distributed environments

StreetSmart Traffic: Discovering and Disseminating Automobile Congestion Using VANET's

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: traffic, vanet, data mining, clustering

Google Scholar: search

Number of downloads: 1375

 

Available for download as


size: 337055 bytes

Bookmark at: Digg | Del.icio.us | Connotea | CiteULike

UMBC