CADIA

 

Connected and Automated Driving: Socioeconomic Impact Assessment


A German-Japanese research cooperation

  Schemata of connected and automated driving Schemata of connected and automated driving

Initial Situation

The Connected and Automated Driving (CAD) enables the partial to complete transfer of the driving task to the vehicle. In this way, new possibilities are created that impact the mobility and the transport system. Apart from the technological evolution of the private car, new shared mobility offers such as robo-taxis can emerge. Also, advantages in comfort, safety and accessibility are expected to result from CAD. These aspects are most likely to cause changes of the mobility behavior, for example with regard to the choice of modes of transport.

 

Project Goals

The research project CADIA aims at investigating possible developments of the connected and automated driving and its effects. This contains:

  1. The investigation, description and modelling of the diffusion of CAD vehicles, resulting mobility services as well as their effects on mobility behavior.
  2. Understanding factors that influence the perception, adoption or rejection of CAD; this is often referred to as “social acceptance”.

One special feature of the CADIA projects is that the investigations are performed analogously in Germany and in Japan. This aims at a deeper understanding of the effects of different general conditions on the diffusion and impact of CAD technology.

During the course of this project, the Institute of Urban and Transport Planning is mainly concerned with the investigation and estimation of future car ownership of private households, which belongs primarily to the first project goal.

  Influencing factors on car ownership Copyright: © ISB, 2020 Influencing factors on car ownership

Procedure

Today, cars are one of the most important and most widely used mode of transport worldwide.

Advantages of the car are high flexibility, travelling speed and comfort. On the contrary, there are high costs, environmental pollution and resource consumption. The decision to buy a car is usually made by households conjointly. Within this project, the relevant influencing factors (see Figure 2) for the purchase decision are analyzed and quantified. Based on this, a car-ownership model is created that simulates the current and future car fleet. By doing so, new forms of mobility as well as technological developments are mapped.

 

Consortium

The project is part of a German-Japanese research cooperation which is funded by the Federal Ministry of Education and Research. The projects are conducted in Germany and Japan with similar content and research focus. At regular intervals, the procedure is adjusted, the method further developed and results compared.

The consortium in Germany is composed of the Institute of Transport Research of the German Aerospace Center (DLR), the Institute for Technology Assessment and Systems Analysis (ITAS) of the Karlsruhe Institute of Technology (KIT), the BMW group and the Institute for Urban and Transport Planning of the RWTH Aachen University.

 

Funding Authority

Federal Ministry of Education and Research

 

Time Period

09.2019 - 12.2022

 

Project Manager ISB

Univ.-Prof. Dr.-Ing. Tobias Kuhnimhof

 

Associate

Michael Schrömbges, M. Sc.

 

Publications

  • Federal Ministry of Education and Research (BMBF) 2022: Joint research for automotive innovation. German-Japanese Research Cooperation on Connected and Automated Driving [pdf]. November 2022, Bonn, Germany.
  • Schrömbges, M., Kuhnimhof, T. 2023. Modeling the Impact of Accessibility on Car Availability in a Nationwide Model of Germany. Poster presentation at Transportation Research Board 102nd Annual Meeting 2023. Washington, D.C., United States of America.
  • Schrömbges, M., Seibert, D., Thomsen, N. 2023. Transportation Effects of Connected and Automated Driving in Germany, in: DLR, Oguchi, T., Fleischer, T., Taniguch, A. 2023. Acceptance and diffusion of connected and automated driving in Japan and Germany