Technology Description
Autonomous Driving providse the opportunity to increase road safety and driving comfort. The development of autonomous vehicles will significantly change individual transportation as well as the psychological perception of automobiles. The idea of self-driving vehicles is transformative from an infrastructural perspective as well as from a public health perspective. If cars are able to navigate their way out of crowded cities, for instance, this could change the infrastructure of cities, since inner-city parking spaces are no longer needed. An automated management system of empty vehicles could move the vehicle to the nearest depot or car park.
Following the accepted taxomony of automated vehicle systems this will only be possible with Level 5 automated vehicles. Table 1 shows the taxonomy and definitions for automated vehicle systems (adapted from Diels, Cyriel, and Jelte E. Bos, 2016 and SAE, 2014)
Current Diffusion Status
Level 1 automation has become mandatory equipment of cars in many regions of the word. Most car makers currently have Level 2 automation available as special equipment (Also called ADAS for Advanced Driver-Assistance Systems) but the diffusion of these assistance systems is far from complete. Level 3 is currently only available in Top-End cars and under certain circumstances (e.g. Highway-Autopilot). Level 4 and 5 are under testing and several prototypes are currently tested internationally
Our Research
Study on ADAS (2014):
This study consists of thirty-two semi-structured interviews, which constituted the basis for a survey instrument that was consequently administered to a sample of over 400 participants from the target population
Study on Autonomous Driving (2018):
This study addresses this aspect by eliciting salient beliefs of individuals towards shared autonomous vehicles. In sum, 41 new car buyers were interviewed upon the delivery of their new automobile at a German premium car manufacturer’s delivery center. The semi-structured interviews were designed to evaluate the attitude towards this new technology as well as to collect related salient associations. Based on a two-dimensional correspondence matrix, a pattern of prevalent associations linked to the attitude towards shared mobility services was derived.
Methods
Survey, Interviews
Publication of Current Results
https://link.springer.com/book/10.1007/978-3-658-05005-4
Partner
Daimler AG
