Abstract
The present study tries to investigate the impact of different speed limits value in the severity of accidents. For this reason, head-on accidents on rural roads have been investigated. Speed limitations in different types of rural roads including inter-state rural arterials, major rural arterials, minor rural arterials, rural main collectors, rural minor collectors, rural local roads or streets in two cases, two-lane and four-lane roadways will be examined individually. The artificial neural network is trained based on the severity of the injuries of drivers of both vehicles involved in head-on accidents. The descriptive variables used in addition to the speed limit include age and gender of drivers, speed, weight, and wheelbase of both vehicles. After the complete training of the model, by analyzing the sensitivity of different values of the speed limit, the best speed limit is suggested in different types of rural roads with the aim of decreasing the severity of drivers injuries in head-on accidents.
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