چکیده مقاله
Given the mortality rate due to traffic accidents, road safety is considered a matter of crucial importance The first step to ensure road safety is to identify accident prone road segments Among others, mathematical and computer models are significantly reliable to identify such accident black spots In this study, we used a fuzzy irregular cellular automaton model with three inputs including roughness index, the longitudinal profile of the current road segment, and the safety factor of the previous road segment, and an output including the safety factor of the current road segment To investigate the results, a 40km segment of a road, which was divided into 100 meter sections, was considered The results of the model were similar to the actual road safety factors with the accuracy of 84 24% Moreover, further simulations revealed that road safety can be significantly improved by reducing the value of road roughness index
کلیدواژهها
نویسندگان
Mostafa Kashani
Sirjan Faculty of Medical Sciences Sirjan
شیوه ارجاع
Kashani, Mostafa,1399,Ranking of Shahr-e Babak-Sirjan Road Safety Using Fuzzy Irregular Cellular Automata,6th International Conference on Science and Technology with Sustainable Development Approach
ارائهشده در
مجموعه مقالات ششمین همایش بین المللی علوم و تکنولوژی با رویکرد توسعه پایدار20 اسفند 1399