Unscented particle filter for delayed car-following models estimation

@article{Hoogendoorn2006UnscentedPF,
  title={Unscented particle filter for delayed car-following models estimation},
  author={Serge Hoogendoorn and Saskia Ossen and Marco Schreuder and Ben Gorte},
  journal={2006 IEEE Intelligent Transportation Systems Conference},
  year={2006},
  pages={1598-1603}
}
Microscopic simulation models have become widely applied tools in traffic engineering. Nevertheless, parameter identification remains a difficult task. This is for one caused by the fact that parameters are generally not directly observable from common traffic data. The second difficulty stems from the fact that real driving behavior is variable in time and space, etc. This paper puts forward a new approach to identify changing parameters of delayed car-following models, i.e. models that… CONTINUE READING