Autonomous Drivability: A Case Study of Swedish Roads

The integration of autonomous vehicles into traffic necessitates a comprehensive evaluation of elements such as infrastructure and traffic dynamics. This paper presents a structured framework designed to assess the suitability of autonomous driving by examining a range of environmental factors that form the operational design domain (ODD). It employs a combination of a qualitative survey and the Analytical Hierarchy Process to determine the significance of various indicators, culminating in the creation of a weighted sum model to evaluate drivability. Key factors influencing drivability include dynamic variables, such as pedestrian traffic and activities around schools. In a case study conducted in Uppsala, diverse data sources were amalgamated to create drivability maps. These maps provide preliminary insights into the feasibility of autonomous driving and contribute to the development of a specialized information layer for autonomous vehicles.