Title
Automatic mapping of human behavior data to personality model parameters for traffic simulations in virtual environments
Abstract
We present an approach towards automatic parameter identification for personality models in traffic simulation telemetry. To this end, we compare the behavior data of human and artificial drivers in the same virtual environment. We record the driving behaviors of human subjects in a car simulator and use evolutionary strategies to infer parameters of models of artificial drivers from the recorded data. We evaluate our approach in several prototypic traffic situations in which we compare the resulting artificial agents against human drivers as well as against simple baseline implementations of artificial drivers. As a result, we show that particular ranges of parameters of a driver profile can be inferred for which the simulated driving behavior does not change. We further show that precision depends on the amount of data and the scenarios in which these were recorded. The proposed method can also be applied to compare human and artificial driving behavior.
Year
Venue
Field
2015
IEEE Conference on Computational Intelligence and Games
Virtual machine,Simulation,Computer science,Telemetry,Traffic simulation,Implementation,Personality
DocType
ISSN
Citations 
Conference
2325-4270
0
PageRank 
References 
Authors
0.34
7
5
Name
Order
Citations
PageRank
Steffen Kampmann100.34
Sven Seele2144.77
Rainer Herpers37319.86
Peter Becker400.68
Christian Bauckhage51979195.86