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A New GNB Model of Crash Frequency for Freeway Sharp Horizontal Curve Based on Interactive Influence of Explanatory Variables
المؤلفون المشاركون
Wang, Xiao-fei
Li, Xin-wei
Yan, Ying
Pu, HuaQiao
Yao, Jiangbei
المصدر
Journal of Advanced Transportation
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-11-14
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Crash prediction of the sharp horizontal curve segment of freeway is a key method in analyzing safety situation of freeway horizontal alignment.
The target of this paper is to improve predicting accuracy after considering the elastic influence of explanatory variables and interaction of explanatory variables on crash rate prediction.
In the paper, flexibility and elasticity are defined to express the elastic influence of explanatory variables and interaction of explanatory variables on crash rate prediction.
Thus, we proposed 6 types of models to predict crash frequency.
These 6 types of models include 2 NB models (models 1 and 2), 2 GNB models (models 3 and 4), one NB model (model 5), and one GNB model (model 6) with flexibility and variable elasticity considered.
The alignment and crash report data of 88 sharp horizontal curve segments from different institutions were surveyed to build the crash models.
Traffic volume, highway horizontal radius, and curve length have been assigned as explanatory variables.
Subsequently, statistical analysis is performed to determine the model parameters and conducted sensitivity analysis by AIC, BIC, and Pseudo R2.
The results demonstrated the effective use of flexibility and elasticity in analyzing explanatory variables and in predicting freeway sharp horizontal curve segments.
In six models, the result of model 6 is much better than those of the other models by fitting rules.
We also compared the actual results from crashes of 88 sharp horizontal curve segments with those predicted by models 1, 3, and 6.
Results demonstrate that model 6 is much more reasonable than the others.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Xiao-fei& Pu, HuaQiao& Li, Xin-wei& Yan, Ying& Yao, Jiangbei. 2018. A New GNB Model of Crash Frequency for Freeway Sharp Horizontal Curve Based on Interactive Influence of Explanatory Variables. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1181821
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Xiao-fei…[et al.]. A New GNB Model of Crash Frequency for Freeway Sharp Horizontal Curve Based on Interactive Influence of Explanatory Variables. Journal of Advanced Transportation No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1181821
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Xiao-fei& Pu, HuaQiao& Li, Xin-wei& Yan, Ying& Yao, Jiangbei. A New GNB Model of Crash Frequency for Freeway Sharp Horizontal Curve Based on Interactive Influence of Explanatory Variables. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1181821
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181821
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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