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Vehicular Adhoc Networks (VANETs) have become a significant area of research due to their potential to facilitate efficient and reliable V2V and V2I communication in vehicular mobility scenarios. However, designing VANETs that can handle the impact of vehicular mobility and traffic density on network performance is a significant challenge. This project aims to investigate the impact of vehicular mobility and traffic density on V2V connectivity in VANETs through simulations. The scope of this project is to develop a simulation model using Matlab that can simulate real-world traffic scenarios and accurately measure the impact of varying traffic densities on V2V connectivity. The project also aims to investigate the effect of adjusting the communication range on network performance. The results of this project can help in developing optimized VANETs that can handle the impact of vehicular mobility and traffic density on network performance. The applications of this project can be found in various fields such as Intelligent Transportation Systems (ITS), emergency services, and public transportation. VANETs can help in improving the safety and efficiency of transportation systems by providing real-time traffic information, collision avoidance, and emergency services. This project's findings can help in developing reliable and efficient VANETs that can handle real-world traffic scenarios and provide reliable V2V and V2I communication in a wide range of applications.
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