چکیده مقاله
In these years, road accidents have become an important issue The accidents costs estimate up to 3% of countries' GDP There are many important reasons that can influence accidents rate In this study, 12 factors have been explored and the logistic regression model is used for predicting slight or serious/fatal accidents The results from logistic regression show 88 48% 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
کلیدواژهها
نویسندگان
Matin Aleahmad
Lecturer Industrial Engineering Department, Islamic Azad University, Tehran North Branch, Tehran, Iran
Seyedeh Shadi Alborzi
Depatrtmet of Chemical Engineering, Shiraz Technical University, Shiraz, 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
شیوه ارجاع
Aleahmad, Matin and zadegan, Kamran and Biglar, Abbas,1401,THE REGRESSION LOGISTIC FORECASTING MODEL FROM ACCIDENT DATA,Eleventh International Conference on Mechanics, Manufacturing, Industries and Civil Engineering
ارائهشده در
مجموعه مقالات یازدهمین کنفرانس بین المللی مکانیک، ساخت، صنایع و مهندسی عمران25 اردیبهشت 1401