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Developing a Clustering-Based Empirical Bayes Analysis Method for Hotspot Identification
المؤلفون المشاركون
Zou, Yajie
Peng, Yichuan
Zhong, Xinzhi
Ash, John
Zeng, Ziqiang
Wang, Yinhai
Hao, Yanxi
المصدر
Journal of Advanced Transportation
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-11-22
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Hotspot identification (HSID) is a critical part of network-wide safety evaluations.
Typical methods for ranking sites are often rooted in using the Empirical Bayes (EB) method to estimate safety from both observed crash records and predicted crash frequency based on similar sites.
The performance of the EB method is highly related to the selection of a reference group of sites (i.e., roadway segments or intersections) similar to the target site from which safety performance functions (SPF) used to predict crash frequency will be developed.
As crash data often contain underlying heterogeneity that, in essence, can make them appear to be generated from distinct subpopulations, methods are needed to select similar sites in a principled manner.
To overcome this possible heterogeneity problem, EB-based HSID methods that use common clustering methodologies (e.g., mixture models, K-means, and hierarchical clustering) to select “similar” sites for building SPFs are developed.
Performance of the clustering-based EB methods is then compared using real crash data.
Here, HSID results, when computed on Texas undivided rural highway cash data, suggest that all three clustering-based EB analysis methods are preferred over the conventional statistical methods.
Thus, properly classifying the road segments for heterogeneous crash data can further improve HSID accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zou, Yajie& Zhong, Xinzhi& Ash, John& Zeng, Ziqiang& Wang, Yinhai& Hao, Yanxi…[et al.]. 2017. Developing a Clustering-Based Empirical Bayes Analysis Method for Hotspot Identification. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1170778
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zou, Yajie…[et al.]. Developing a Clustering-Based Empirical Bayes Analysis Method for Hotspot Identification. Journal of Advanced Transportation No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1170778
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zou, Yajie& Zhong, Xinzhi& Ash, John& Zeng, Ziqiang& Wang, Yinhai& Hao, Yanxi…[et al.]. Developing a Clustering-Based Empirical Bayes Analysis Method for Hotspot Identification. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1170778
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1170778
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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