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