A simulation environment for analysis and optimization of driver models
Paper in proceedings, 2011

A simulation environment for evaluation and optimization of driver models is introduced and described. The simulation environment features models of vehicles and drivers, as well as a representation of the traffic environment (roads, buildings etc.). In addition, an optimization framework based on stochastic optimization algorithms has been implemented as an integral part of the simulation environment. Given observed (time series) data of driver behavior and, possibly, vehicle dynamics, the optimization framework can be used for inferring driver model parameters. The simulation environment has been evaluated in two scenarios, one involving emergency braking and one involving a double lane change.

driver models

double lane change

emergency braking

optimization

vehicle simulation

Author

Ola Benderius

Chalmers, Applied Mechanics, Vehicle Engineering and Autonomous Systems

Gustav M Markkula

Chalmers, Applied Mechanics, Vehicle Engineering and Autonomous Systems

Krister Wolff

Chalmers, Applied Mechanics, Vehicle Engineering and Autonomous Systems

Mattias Wahde

Chalmers, Applied Mechanics, Vehicle Engineering and Autonomous Systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 6777 453-462

Subject Categories

Computer and Information Science

DOI

10.1007/978-3-642-21799-9_51

ISBN

978-364221798-2

More information

Created

10/8/2017