Road Car Accident Prediction by Using Machine Learning Techniques
سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 39
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شناسه ملی سند علمی:
DSAI01_018
تاریخ نمایه سازی: 4 تیر 1403
چکیده مقاله:
Traffic accidents globally pose a significant public health crisis, resulting in loss of life, injuries, and substantial economic burdens. Predictive analytics, combining data science and health policy, offers a solution by identifying accident factors and creating proactive safety measures to save lives. This study uses machine learning to analyze traffic accident data from self-report questionnaires, revealing the importance of socio-economic status, psychosocial factors, and long driving hours in predicting accident occurrence. The research suggests interventions targeting socio-economic factors, psychological assessments and improved road safety to effectively prevent accidents.
کلیدواژه ها:
نویسندگان
T Manouchehri
Department of Statistics, Shiraz University, Shiraz, Iran
S.T Heydari
Health Policy Research Center, Shiraz University of Medical, Shiraz, Iran
K Bagheri Lankarani
Health Policy Research Center, Shiraz University of Medical, Shiraz, Iran
R Fereidooni
Health Policy Research Center, Shiraz University of Medical, Shiraz, Iran