Computer Modeling of the Aerodynamic Behavior of Autonomous Vehicles in Dangerous Road Situations

Today, unmanned vehicles handle the complexities of real-world driving under simple road conditions much better than the average driver. However, a fully autonomous autopilot that does not require human intervention remains confined to test sites. This limitation exists due to the need to ensure its adequate response in the most challenging road situations. In this study, we propose using computational aerodynamics methods to study how changes in air pressure, caused by aerodynamic flows from other vehicles and wind at various angles to the vehicle’s direction, affect vehicle stability. The calculated data enable us to assess the influence of these factors on traffic safety and to integrate them into the machine learning tasks for vehicle artificial intelligence.