Simulation of an Autonomous Car Drive Scenario

In everyday life, people are dependent on public or private means of transport. Day by day, this phenomenon leads to a continuous increase in road traffic, a fact that implies the appearance of urban agglomerations, jeopardizing traffic safety, but also a major impact on the environment. Thanks to modern information and communication technologies, these aforementioned problems will be able to be given at least one pertinent advanced solution to lessen the number of transportation related problems we face today. These intelligent transport systems have a wide area of applicability in increasing road safety, minimizing the impact on the environment but also in improving traffic management and maximizing the benefits due to transport. By autonomous vehicle it is understood that the system assists the driver by maintaining a constant speed according to the requirements and conditions of the road segment on which the movement is carried out, by correctly entering the lane without inadvertently leaving it, but also by maintaining a safe distances from surrounding vehicles and obstacles, all this to ensure a safe and incident-free journey. By using a simulation environment such as Carla, we can create an autonomous driving scenario and its training model that we can later use, if it meets all the requirements, on a real vehicle. The simulation allows us to see if the model can be validated or where it still needs improvement without endangering someone's life and without material damage.