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Statistical driver model for accident simulation

Using a statistical driver model for benefit estimation of advanced safety systems with warning interfaces
 
: Erbsmehl, Christian; Schebdat, Heiko

Medizinische Hochschule Hannover, Verkehrsunfallforschung:
6th International Conference on ESAR "Expert Symposium on Accident Research" 2014. CD-ROM : Reports on the ESAR-Conference on 20th/21th June 2014 at Hannover Medical School
Bremen: Fachverlag NW, 2015 (Berichte der Bundesanstalt für Straßenwesen, Fahrzeugtechnik F 102)
ISBN: 978-3-95606-154-7
11 S.
International Conference on "Expert Symposium on Accident Research" (ESAR) <6, 2014, Hannover>
Englisch
Konferenzbeitrag
Fraunhofer IVI ()

Abstract
The main focus of the benefit estimation of advanced safety systems with a warning interface by simulation is on the driver. The driver is the only link between the algorithm of the safety system and the vehicle, which makes the setup of a driver model for such simulations very important. This paper describes an approach for the use of a statistical driver model in simulation. It also gives an outlook on further work on this topic. The build-up process of the model suffices with a distribution of reaction times and a distribution of reaction intensities. Both were combined in different scenarios for every driver. Each scenario has then a specific probability to occur. To use the statistical driver model, every accident scene has to be simulated with each driver scenario (combinations of reaction times and intensities). The results of the simulations are then combined regarding the probabilities to occur, which leads to an overall estimated benefit of the specific system. The model works with one or more equipped participants and deliver a range for the benefit of advanced safety systems with warning interfaces.

: http://publica.fraunhofer.de/dokumente/N-356163.html