CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

THE REGRESSION LOGISTIC FORECASTING MODEL FROM ACCIDENT DATA

عنوان مقاله: THE REGRESSION LOGISTIC FORECASTING MODEL FROM ACCIDENT DATA
شناسه ملی مقاله: MMICONF11_026
منتشر شده در یازدهمین کنفرانس بین المللی مکانیک، ساخت، صنایع و مهندسی عمران در سال 1401
مشخصات نویسندگان مقاله:

Matin Aleahmad - Lecturer Industrial Engineering Department, Islamic Azad University, Tehran-North Branch, Tehran, Iran
Kamran zadegan - PhD student, Azad University of Yadegar Emam, Technical Engineering Department, Shahr-e-Rey, Iran
Abbas Biglar - Lecturer Industrial Engineering Department, Islamic Azad University, Doroud Branch, Doroud, Iran

خلاصه مقاله:
In these years, road accidents have become an important issue. The accidents costs estimate up to ۳% of countries' GDP. There are many important reasons that can influence accidents rate. In this study, ۱۲ factors have been explored and the logistic regression model is used for predicting slight or serious/fatal accidents. The results from logistic regression show ۸۸.۴۸% of accuracy and can be a useful method in providing meaningful interpretations for organizations that are involved in these issues like police departments for future safety improvements. By using this model the probability of slight or serious/fatal accidents can be predicted the accidents' incidence

کلمات کلیدی:
Traffic, Accident, Logistic Regression model, Forecast

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1459413/