A Bayesian Network Approach to Causation Analysis of Road Accidents Using Netica
المؤلفون المشاركون
المصدر
Journal of Advanced Transportation
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-12-12
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
Based on an overall consideration of factors affecting road safety evaluations, the Bayesian network theory based on probability risk analysis was applied to the causation analysis of road accidents.
By taking Adelaide Central Business District (CBD) in South Australia as a case, the Bayesian network structure was established by integrating K2 algorithm with experts’ knowledge, and Expectation-Maximization algorithm that could process missing data was adopted to conduct the parameter learning in Netica, thereby establishing the Bayesian network model for the causation analysis of road accidents.
Then Netica was used to carry out posterior probability reasoning, the most probable explanation, and inferential analysis.
The results showed that the Bayesian network model could effectively explore the complex logical relation in road accidents and express the uncertain relation among related variables.
The model not only can quantitatively predict the probability of an accident in certain road traffic condition but also can find the key reasons and the most unfavorable state combination which leads to the occurrence of an accident.
The results of the study can provide theoretical support for urban road management authorities to thoroughly analyse the induction factors of road accidents and then establish basis in improving the safety performance of the urban road traffic system.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zou, Xin& Yue, Wen Long. 2017. A Bayesian Network Approach to Causation Analysis of Road Accidents Using Netica. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1170570
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zou, Xin& Yue, Wen Long. A Bayesian Network Approach to Causation Analysis of Road Accidents Using Netica. Journal of Advanced Transportation No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1170570
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zou, Xin& Yue, Wen Long. A Bayesian Network Approach to Causation Analysis of Road Accidents Using Netica. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1170570
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1170570
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر