Optimized road condition and azimuth routingbased on VANET for optimized vehicular traffic flow

초록

This paper proposes the Optimized Road Condition and Azimuth Routing (ORCAR) based on VANET for Optimized Vehicular Traffic Flow. First, it measures the road condition in order to computes a risk for the efficient vehicular traffic flow. Second, it also proposes the Context Centric Network based Azimuth Routing (CCNAR) so that it may transfer accurately and rapidly to destination the traffic information message in which the computed risk is reflected. Therefore, the ORCAR not only reduces the scope of message transmission with the CCNAR, but also provides the vehicles that enter an urban intersection with traffic information apace by selecting the transmission paths having the least path disconnection by density. Compared to the existing CCN and AODV, the CCNAR diminishes the transmission times of request messages by density and azimuth by 2% and transfers it rapidly after receiving the traffic information stored in the Content Store of an intermediate vehicle. Besides, the ORCAR prevents traffic jam from happening by separating the transmission zones of traffic information according to congestion. © Research India Publications.

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