The vision of automated driving: What is it good for? Answers from society with economical and organizational perspectives

This contribution has the purpose of understanding the consequences of automated driving, e.g. resulting from new forms of man-machine interaction (driver - vehicle). While a combination of several components such as radar, lidar, camera, sensor with software and existing data (e.g. maps) already enables vehicles to drive autonomously today, this article will discuss the effects on society (e.g. new and safe mobility concepts), with economic (e.g. new business models) and organizational (understanding the paradigm change triggered by new vehicles) perspectives. The focus is on analyzing high degrees of automation (driverless and highly automated), which allow vehicles to be driven for example by autopilot. The approach is triangulate, using qualitative and quantitative sources (secondary data). Finally, statements will be elaborated and justified.