The rise and scale of vehicles today makes traffic management a steady problem. Various method such as toll based control systems with electronic smart card recognition, advance warning of traffic status to the control system, and fixed time traffic control signal system are some of the techniques can be used to improve the traffic woes of passengers. However a problem is still remains due to incomplete utilization of the road systems. In this paper, an approach to make the traffic signal adaptive to the dynamic traffic flow using Vehicular adhoc network is implemented. The proposed approach is simulated using Vb.net and compared with the already existing fixed time traffic control system. From the results obtained it is observed that the proposed approach posses better working than the existing approaches.
Road accidents and traffic jams are common problems and being the target of a lot of research work. Vehicular Ad hoc Network (VANET) is a common part of Intelligent Transport System (ITS) which is directly involved in handling these problems and aims to make journey on road comfortable. The urban traffic flow depends on the driver behavior, and also, it is influenced by traffic control and environmental factor , as the number of vehicles in urban area is increases, the traditional traffic system faces so many problems. This paper represents a review on various traffic system & working of vehicular adhoc network. After the review of traffic system and VANET it gives a survey on various techniques used in traffic system. This paper also proposes a solution to resolve such traffic system problems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.