Development of Gap Acceptance Fuzzy Models Using Data from Driving Simulator Experiments

This paper describes the application of fuzzy models of drivers' gap‐acceptance behavior at priority intersection; differently from other experiences, in this work gap‐acceptance data were collected from experiments of driving behavior performed using a fixed‐base driving simulator. The experiments have been conducted at the Transportation Laboratory of the University of Padova, using STSoftware® driving simulator. The proposed fuzzy model allows to overtake problems related to both non‐homogeneous explanatory variables and to uncertain and imprecise information on the system. Nevertheless, the findings appear interesting because allow to better understand the effects of explanatory variables not detectable from direct observations (on site) on driver's gap‐acceptance behavior with the aim to use this knowledge to perform effective operational analysis (maneuver capacity and LOS assessment).