DocumentCode
1772646
Title
An approach to avoid traffic congestion using VANET
Author
Toulni, Hamza ; Nsiri, Benayad ; Boulmalf, Mohammed ; Bakhouya, Mohamed ; Sadiki, Tayeb
Author_Institution
Fac. of Sci., GREENTIC, LIAD, Hassan II Univ. - Casablanca, Casablanca, Morocco
fYear
2014
fDate
28-30 May 2014
Firstpage
154
Lastpage
159
Abstract
Roads´ overload remains a major challenge although they are constantly expanded in order to increase their capacity and improve their efficiency. This tends to cause many problems: environmentally, economically and socially. The advancement of urban traffic management systems, construction and expansion of roads are solutions to address this problem and improve the performance of the road circulation, but these solutions are very expensive and also require more space for the development and permanent maintenance. An alternative would be to use the new technologies in the field of communication for sending traffic information such as treacherous road conditions and accident sites by communicating, for a more efficient use of existing infrastructure. In this paper, we present a new approach based on VANETs, which can help drivers have a better trip, by finding the optimal path to reduce travel time and fuel consumption. This approach aims to avoid congestion and queues in a more efficient and optimal use of existing road infrastructure by analyzing the useful and reliable traffic information collected in real time.
Keywords
mobile computing; traffic information systems; vehicular ad hoc networks; VANET; fuel consumption reduction; road circulation; road overload; traffic congestion avoidance; traffic information; travel time reduction; urban traffic management system; Fuels; Heuristic algorithms; Real-time systems; Road safety; Vehicles; Vehicular ad hoc networks; Dijkstra´s algorithm; SUMO; Vehicular Ad-hoc Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Next Generation Networks and Services (NGNS), 2014 Fifth International Conference on
Conference_Location
Casablanca
Print_ISBN
978-1-4799-6608-0
Type
conf
DOI
10.1109/NGNS.2014.6990245
Filename
6990245
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