Document Type : Original Article
Authors
1
Assistant Professor, University of Qom
2
Master of Science, Civil Engineering, University of Qom, Qom, Iran
3
Master of Science،, Civil Engineering,، Alaa Doulah Semnani Institute of Higher Education،Garmsar,،Iran
10.22034/tri.2023.356479.3077
Abstract
Knowing the behavior of car chases by providing a prediction model of drivers' behavior, according to the social behaviors of that region and climate, can help in creating a safe distance and prevent the occurrence of front-to-back accidents in the traffic flow. The minimum safe distance between the following vehicles that is following the vehicle in front at a certain speed can be obtained by creating linear, logarithmic, exponential, and proportional relations between the speed and the spatial distance and predicting the reaction of the following vehicle, which is dependent on the action of the front vehicle.
In this research, by processing the traffic information of cars passing through the Modares-highway by filming the following cars using MS Office Excel and SPSS software, the most common linear, logarithmic, exponential, and parametric relationships have been compared and the results of the comparison showed that the best The regression model for speed and spatial distance has a quadratic parabola with the coefficient of determination R2 equal to 0.943. This model has a quadratic parabola type for temporal distance with fewer changes compared to spatial distance.
Examining the proportional relationship between speed and head distance showed that the speed variable has a direct relationship with the head distance and with the increase in speed, the head distance also increased because, with the increase in speed, drivers increase their distance from the car in front of them t feel safe for Provide yourself. However, the relationship between speed and time interval is inverse to each other and as the speed of drivers increases, the time interval decreases.
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