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Application of the Empirical Bayes Method with the Finite Mixture Model for Identifying Accident-Prone Spots
المؤلفون المشاركون
Wang, Yinhai
Zou, Yajie
Henrickson, Kristian
Zhang, Zhaoru
Wu, Lingtao
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-09-07
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Hotspot identification (HSID) is an important component of the highway safety management process.
A number of methods have been proposed to identify hotspots.
Among these methods, previous studies have indicated that the empirical Bayes (EB) method can outperform other methods for identifying hotspots, since the EB method combines the historical crash records of the site and expected number of crashes obtained from a safety performance function (SPF) for similar sites.
However, the SPFs are usually developed based on a large number of sites, which may contain heterogeneity in traffic characteristic.
As a result, the hotspot identification accuracy of EB methods can possibly be affected by SPFs, when heterogeneity is present in crash data.
Thus, it is necessary to consider the heterogeneity and homogeneity of roadway segments when using EB methods.
To address this problem, this paper proposed three different classification-based EB methods to identify hotspots.
Rural highway crash data collected in Texas were analyzed and classified into different groups using the proposed methods.
Based on the modeling results for Texas crash dataset, it is found that one proposed classification-based EB method performs better than the standard EB method as well as other HSID methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zou, Yajie& Henrickson, Kristian& Wu, Lingtao& Wang, Yinhai& Zhang, Zhaoru. 2015. Application of the Empirical Bayes Method with the Finite Mixture Model for Identifying Accident-Prone Spots. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1075189
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zou, Yajie…[et al.]. Application of the Empirical Bayes Method with the Finite Mixture Model for Identifying Accident-Prone Spots. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1075189
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zou, Yajie& Henrickson, Kristian& Wu, Lingtao& Wang, Yinhai& Zhang, Zhaoru. Application of the Empirical Bayes Method with the Finite Mixture Model for Identifying Accident-Prone Spots. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1075189
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1075189
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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