Estimation of an integrated driving behavior model
This paper presents the methodology and results of estimation of an integrated driving behavior model that attempts to integrate various driving decisions. The model explains lane changing and acceleration decisions jointly and so, captures inter-dependencies between these behaviors and represents drivers planning capabilities. It introduces new models that capture drivers choice of a target gap that they intend to use in order to change lanes, and acceleration models that capture drivers behavior to facilitate the completion of a desired lane change using the target gap. The parameters of all components of the model are estimated simultaneously with the maximum likelihood method and using detailed vehicle trajectory data collected in a freeway section in Arlington, Virginia. The estimation results are presented and discussed in detail.
driving behavior lane changing acceleration traffic simulation