@article {7067,
	title = {Intelligent Management of Highways Congestion based Sensor Networks},
	journal = {International Journal of Computer Science Issues (IJCSI)},
	volume = {9},
	number = {4},
	year = {2012},
	pages = {110},
	abstract = {The main purpose of this paper is to enable congestion prediction on urban freeways and objectively measure its impact on daily life. Indeed, cars{\textquoteright} trafic becomes increasingly difficult and, often causes traffic jams that can last for hours, because of growing number of used cars, in addition to the unforeseen events that may complicate more and more this problem (weather, accidents, road works...). This is mainly due to the lack of efficient management of roads{\textquoteright} congestions. This paper attempts to bring a technological response to significantly reduce the congestion problem. Our approach is based on smart sensors which allow traffic jam detecting and relaying such critical information. Thus, while providing the drivers with context aware information such as those related to the highway status before crossing, we enable them to make decision and select another road avoiding the congested one and reducing, by the way, the congestion itself.},
	url = {http://www.ijcsi.org/articles/Intelligent-management-of-highways-congestion-based-sensornetworks.php},
	author = {Lyamine Guezouli and Souheila Bouam and Abdelmadjid Zidani}
}
