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Traffic Avoidance in VANET using Ant Colony Optimization

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Abstract
Nowadays traffic avoidance is most complicated problem in this urban area. This paper proposes how to avoid or quickly cross the traffic in large area based on Ant Colony Optimization (ACO) in VANET. It is proposed for identifying the best path to a destination in the simulation area. It has a traffic factor such as vehicle speed, number of vehicles percent in specific path, road capacity, and alternate path to the destination. The simulation results are analysis using SUMO, MOVE, NS2 tools.
Keywords:VANET, SUMO, NS2, ACO.

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