A new book sheds light on the acceptance and diffusion of connected and automated driving (CAD) in Germany and Japan, providing valuable insights into the future of automated driving. The publication combines research findings from both countries and examines the acceptance, market potentials, and traffic impacts of these technologies.
Automated driving in comparison
Particularly noteworthy is the joint examination of similar issues in different national contexts, which vividly illustrates the impact of automated driving on the transport systems of both countries. The book summarises empirical results, market analyses, models, as well as political frameworks in Germany and Japan.
The scientist Nina Thomsen from the DLR Institute for Transport Research has closely followed the differences and similarities of the countries.
This book provides a comprehensive analysis of the socio-economic impacts of automated driving. By examining the different expectations and decision-making processes, as well as their common foundations, we gain valuable insights into the future of mobility. It is crucial that we promote a correct understanding of CAD on both an individual and societal level in order to fully exploit the benefits of this technology and to identify potential risks at an early stage.
A crucial contribution comes from Chapter 6, which deals with the effects of CAD on the transport system in Germany. In this section, the linking of three models - car ownership, car fleet (CAST) and traffic demand model (DEMO) - is presented to generate nationwide results. Various scenarios for the use of private and shared autonomous vehicles in 2050 are depicted.
Cooperation in an Open Access
This book is the result of an international collaboration involving renowned institutions such as the DLR, RWTH Aachen, KIT ITAS, and several Japanese universities, including the University of Tokyo and Doshisha University. Reputable companies like BMW also contributed to this comprehensive analysis.
Interested readers can access the publication for free via Open Access and benefit from the in-depth, interdisciplinary insights.
