Safety Benefits of Automated Vehicles: Extended Findings from Accident Research for Development, Validation and Testing
Year: 2016
Type: book-chapter
Abstract: In his meta-analysis, Thomas Winkle documents exemplary analyses of potential safety-enhancing vehicle systems with low degrees of automation. However, a safety prognosis of highly or fully automated vehicles depends on assumptions, as so far no series applications of such features exist. For testing methods to develop and validate safe automated vehicles with reasonable expenditure, the author recommends combining worldwide traffic accident-, weather-, vehicle operation data and traffic simulations. Based on these findings, a realistic evaluation of internationally prospective, and statistically relevant real world traffic scenarios as well as error processes and stochastic models can be analysed (in combination with virtual tests in laboratories and driving simulators) to control critical driving situations. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Source: Springer eBooks
Author: Thomas Winkle
Institution: Technical University of Munich
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2460640615