AN APPROACH FOR ROAD TRAFFIC MANAGEMENT TO REDUCE TRAFFIC CONGESTION IN VANET
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Abstract
Vehicular Ad-hoc network (VANET) is one of the best solutions which permit the vehicle to vehicle communication between nearby vehicles and nearby fixed equipment. In recent times transport efficiency plays an important part in the economic growth in advanced cities. Road traffic management involves monitoring of the actual traffic situation in real-time. With the goal of controlling the information from the vehicles, it is used in the traffic flows to reduce traffic congestion. This information is used to address with accidents and provide accurate and reliable traffic information in order to make predictions for drivers and transport authorities. Vehicle to Vehicle communication (V2V) and Vehicle to roadside Infrastructure communication (V2I) network is used to send and obtain the messages. The end result is simulated by using Intelligent Based Clustering Algorithm (IBCAV) and indicates this is one of the powerful ways to control congestion. The proposed technique guarantees reliable and well-timed delivery of messages to recognize congestion and avoids it.
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