Detection of Traffic Density on Roads in VANET

Abstract

Traffic Congestion is main problem in current traffic system and there are many other traffic issues that desirable to be defeat. VANET have the basis three aspects and it has been defined including Confidentiality, veracity and accessibility. The main problem is the securities how overcome the chances of data outflow, insecure interface, information gathering and sharing. The purpose of the research to analysis of traffic congestion that is related to availability of VANET resource in VANET environment and how can one determine which route has the least amount of traffic among many roads with heavy congestion, and also difficult task to use modern techniques are utilized for identifying the amount of vehicles on the roads. Now a days, forecasting traffic congestion is essential for modern life and travel. As infrastructure is advancing, many nations are dealing with the issue. To combat this, researchers have used Artificial Intelligence and VANNET Techniques to create various models to overcome the traffic problems. We have adopted the most recent technique, as it is much quicker in providing optimal outcomes.