Findings from Traffic Accident Analysis

Abstract

With regard to safe product development in the dilemma between Artificial Intelligence, ethics and legal risk, Thomas Winkle provides a meta-analysis for safety assessment using accident data to demonstrate potential safety benefits and risks. Thomas Winkle also refers to the disasters of the Chernobyl and Fukushima nuclear power plant accidents. They mark changes in acceptance about the use of nuclear energy. Comparisons are made between the global mortality rates of females and males on traffic mortality in relation to the life expectancy of various countries around the world, from Sierra Leone with the lowest life expectancy to Japan with the highest. The probability of dying from a traffic accident is highest in Venezuela and Sierra Leone. Another overview addresses the global mortality rate with exemplary causes of death in contrast to the ISO 26262 requirements of the Automotive Safety Integrity Level "ASIL D" and a hardware failure rate of less than 1 * 10-8 1/h. Furthermore, he uses traffic accident data examples of safety-enhancing automated vehicle systems with a low degree of automation that are already available on the market. 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 analyzed (in combination with virtual tests in laboratories and driving simulators) to control critical driving situations.