چكيده به لاتين
Due to different geographic cultures of different nations and cultures as well as traffic and driving is no exception. Vehicle drivers while driving may exhibit different behaviors when encountering pedestrians. Accurate and sufficient knowledge of the factors affecting these behaviors can help to improve traffic flow and enhance pedestrian safety. In the current study aims to understand the driver's behavior when encountering pedestrians in unsignalized crosswalks and factors affecting, data collection was performed. To harvest field data from two cameras, one on the edge of the track and the other on the spot over the crosswalk was used. After extracting data from video cameras, attempted to model the behavior of drivers through logistic regression models SPSS software. In the end, according to the final model, it was observed that parameters such as speed of the vehicle, away from the vehicle to the crosswalk at the time of exposure, age and gender of the driver and the position of the pedestrian in the face of the vehicle have a significant impact on the probability of drivers yielding. The results of this study show that pedestrian age, type of vehicle and pedestrian behavior, has no effect on driver yielding behavior.
