Gerenciamento de interseções para otimização do tráfego de carros autônomos

Abstract

Intersections have become, due to the rapid growth of the population of the cities, a prone place for auto accidents and also the main cause of traffic congestion. This work presents a virtual system capable of managing and optimizing the traffic of a region in an environment of autonomous cars. This approach introduces constraints that ensure the safety of stand-alone vehicles, so that they can take advantage of the benefits offered by this new technology without losing confidence. We proposed to remove all traffic lights and signboards present at the intersections, giving the system the responsibility to manage traffic. The results using the SUMO simulator demonstrate that the system was able to optimize vehicle traffic in the various regions used as case studies.