Vehicle Routing Optimized for Autonomous Driving

State-of-the-art route guidance systems aim at finding the optimal route based on the total estimated travel time. With the development of autonomous vehicles certain road links can already be driven autonomously. When obtaining route guidance travelers want to drive autonomously as long as possible. Thus, additional criteria with respect to autonomous driving (AD) need to be taken into account. This paper aims at finding the optimal route for AD. Besides the total travel time, we introduce the autonomous travel time and the number of take over requests by the vehicle to the driver as additional optimization criteria. Two methodologies are developed, which approach the problem of finding optimal AD routes. The first one is based on subjective perception and the second one is formulated as a multiobjective optimization problem. A case study is conducted and both methods are compared. It is shown that an optimal route for AD can be found uniquely.