Solution for Traffic Congestion using Smart Vehicles and Adaptive Traffic Control System

Computer Engineering

In a large city or any area where there are lots of commuters on the road, then one faces the effects of traffic congestion. What one may not realize is the extent of the effects heavy traffic congestion can have. This gridlock can have a tremendous impact on one’s personal life, career, future and even safety. Finding a solution to traffic congestion could mean a vast improvement in the quality of life in an area. This project aims at tackling this problem by using smart vehicles with V2V technology and adaptive traffic control system based on radio propagation model. With V2V communication, cars are connected to each other, which enables them to share data with other cars on the road, which will help reduce traffic and prevent accidents. Ultimately, vehicles are connected via multiple complementary technologies of vehicle to-vehicle (V2V) and vehicle-to- infrastructure (V2I) connectivity based on Wi-Fi, GPS, Dedicated Short Range Communication (DSRC). Also, 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 possesses better working than the existing approaches.

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