Erbsmehl, Christian
[Author];
Schebdat, Heiko
[Author]
;
Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme (Dresden)
[Contributor]
Statistical driver model for accident simulation - Using a statistical driver model for benefit estimation of advanced safety systems with warning interfaces
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Media type:
Electronic Conference Proceeding
Title:
Statistical driver model for accident simulation - Using a statistical driver model for benefit estimation of advanced safety systems with warning interfaces
Contributor:
Erbsmehl, Christian
[Author];
Schebdat, Heiko
[Author]
imprint:
German Federal Highway Research Institute (BASt): Electronic BASt Archive (ELBA), 2015-09-14
Language:
English
Origination:
Footnote:
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Description:
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 delivers a range for the benefit of advanced safety systems with warning interfaces.