THE REGRESSION LOGISTIC FORECASTING MODEL FROM ACCIDENT DATA
سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 236
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شناسه ملی سند علمی:
MMICONF11_026
تاریخ نمایه سازی: 17 خرداد 1401
چکیده 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
کلیدواژه ها:
نویسندگان
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