A study of appropriate model complexity for estimation of car-following behavior
Paper in proceedings, 2015

This paper investigates model complexity, or equivalently, necessary model structure, for describing car-following behavior. The recently suggested PrARX modeling framework is systematically investigated and compared with simpler model structures containing less tuning parameters to see to what extent complex models can be motivated. The results indicate that for long prediction horizons there is no gain having a complex model structure. However, one-step ahead prediction of complex models can be useful for classification of whether the driver should be braking or not.

Driver behavior modeling

hybrid models

advanced driver assistance systems


Malin Sundbom

Chalmers, Signals and Systems, Systems and control, Mechatronics

Jonas Sjöberg

Chalmers, Signals and Systems, Systems and control, Mechatronics

Proceedings of the 3rd International Symposium on Future Active Safety Technology Towards zero traffic accidents, 2015


Areas of Advance



ReVeRe (Research Vehicle Resource)

Subject Categories

Control Engineering

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