Optimization of the Allowable Speed on Iran’s Freeways to Reduce Violations and Accidents, Using Zero-Truncated Poisson Regression Model

سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 369

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RCEAUD04_348

تاریخ نمایه سازی: 7 اسفند 1396

چکیده مقاله:

Countries from all over the world including Iran, consider different maximum allowable speeds to control and maintain traffic safety on their freeways, but these actions have not been successful even with the police surveillance. Even though speeding is not the only cause of accidents, past studies indicate that speed plays an important role in such events. Since respecting the speed limits have not prevented driving violations and traffic accidents, there’s a doubt among decision-makers, about the applicability and safety of these legal speed limits in different weather and traffic conditions. They think perhaps there is a need for an optimized and safe speed after doing required studies. Even in the police instructions and notifications in unfavorable weather conditions, the word safe speed is used more than the legal speed and its limit is not mentioned and its determination is assigned to drivers according to their mental and physical conditions, type of vehicle, and the weather condition. This matter leads to uncertainty for drivers in selecting the right speed.This research is intended to achieve a safe and optimized speed for freeways in Iran, by considering a reasonable adjustment which is acceptable by the drivers, so that a high decrease in driving violations and accidents could be observed. This is done by using models developed for predicting violations and accidents on freeways in Iran. The results indicate that by reducing allowable speed of freeways from 125km/h to 105km/h, a 48% and 23% reduction of violations and traffic accidents could be achieved

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نویسندگان

Mansour Hadji Hosseinlou

Associate Professor, Department of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran

Alireza Mahdavi

PhD Student, Department of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran