Latest revision as of 22:30, 28 January 2021

Abstract

utomobile 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 proposed system uses a combination of clustering and epidemic communication to find and disseminate dynamic traffic patterns.

Original document

The different versions of the original document can be found in:

• http://ebiquity.umbc.edu/get/a/publication/346.pdf

• http://xplorestaging.ieee.org/ielx5/4196544/4212428/04212443.pdf?arnumber=4212443,

http://dx.doi.org/10.1109/vetecs.2007.15

• https://dblp.uni-trier.de/db/conf/vtc/vtc2007s.html#DornbushJ07,

http://ebiquity.umbc.edu/paper/html/id/350/StreetSmart-Traffic-Discovering-and-Disseminating-Automobile-Congestion-Using-VANET-s,

http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004196560,

https://ebiquity.umbc.edu/get/a/publication/346.pdf,

http://ieeexplore.ieee.org/document/4212443,

https://doi.org/10.1109/VETECS.2007.15,

http://doi.org/10.1109/VETECS.2007.15,

http://ebiquity.umbc.edu/get/a/publication/340.pdf,

https://academic.microsoft.com/#/detail/1973145806