Research on Dynamic Visual Characteristics of Drivers in Prairie Road Environment

In order to study visual characteristics of prairie road drivers, urban roads were used as control group, and vehicle tests were carried out on prairie and urban roads. K-means cluster analysis was used to divide drivers' fixation area characteristics. Distribution characteristics of drivers' fixation time were calculated and goodness of fit test was performed. Markov theory was used to solve probability matrix and stationary distribution of driver visual transition, and high frequency fixation area and visual transfer mode of prairie road were obtained. Results show that, compared with urban roads, prairie road drivers have relatively fewer fixation areas. Fixation time of prairie road drivers is generally long, which approximately obeys lognormal distribution. The probability of the driver staying in the current fixation area is generally higher. Compared with the urban road, the driver pays more attention to remote fixation areas. The research provides references for safe design of prairie roads and improvement of driving safety.