Route Planning Based on Street Criteria for Autonomous Driving Vehicles

Modern day, smart vehicles have many comfort functions and can support the driver in a variety of traffic situations. This leads to increased safety and comfort. In road traffic, however, there are many different situations. Some of them cannot completely be handled by an automated vehicle. It depends on the level of automation (SAE level) and the used technology of the vehicle if a certain situation or a specific street topology is problematic. The fastest or shortest route is therefore no longer necessarily the best route. Criteria like fuel or energy consumption are already addressed by some routing algorithms. This paper proposes that criteria such as comfort and safety should be considered in route selection of autonomous driving vehicles. For safety and to make optimum use of the automation of his vehicle, a user is willing to accept a longer journey. In this situation we are not looking for the best route, but several pareto-optimal routes. In this paper an Approach is proposed to handle different infrastructure criteria for routing autonomous driving vehicles. Because many possible criteria exist and their impact on the vehicle is related to the technology and SAE level of the vehicle, the resulting concept is designed as flexible as possible.