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Developing a Clustering-Based Empirical Bayes Analysis Method for Hotspot Identification
Joint Authors
Zou, Yajie
Peng, Yichuan
Zhong, Xinzhi
Ash, John
Zeng, Ziqiang
Wang, Yinhai
Hao, Yanxi
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170778