Evaluation of Section Speed Enforcement System Using Empirical Bayes Approach and Turning Point Analysis
Joint Authors
Shim, Jisup
Kwon, Oh Hoon
Park, Shin Hyoung
Chung, Sungbong
Jang, Kitae
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Speeding is a major risk factor for traffic-related injuries.
As a countermeasure against speeding, automated speed enforcement systems (ASES) have been deployed in many countries.
However, drivers’ awareness of enforcement locations allows themselves to adjust vehicle speeds in the vicinity of the enforcement locations.
This enforcement avoidance behavior leads to a criticism of the effectiveness of ASES, in which the system promotes abrupt changes in vehicle speed near enforcement locations, increasing crash risk as a side effect.
To address this issue, the section speed enforcement system (SSES), which enforces overspeeding vehicles by their average travel speed over a section, has been devised.
In this study, we evaluate traffic speed and safety data that were collected from sections with SSES on Korean expressways.
The speed analysis showed that the vehicles reduced their speeds inside the enforcement section, and this reduction in speed variations across vehicles was also noticeable, signifying that the risk of traffic crash should be lower.
In view of this, we have performed before and after comparative analysis using the empirical Bayes method with the comparison group.
The outcomes estimate 43% reduction in crash occurrence after installation of SSES.
Furthermore, turning point analysis confirmed that the reduction in crash occurrence ensued immediately after installation of SSES.
American Psychological Association (APA)
Shim, Jisup& Kwon, Oh Hoon& Park, Shin Hyoung& Chung, Sungbong& Jang, Kitae. 2020. Evaluation of Section Speed Enforcement System Using Empirical Bayes Approach and Turning Point Analysis. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1181097
Modern Language Association (MLA)
Shim, Jisup…[et al.]. Evaluation of Section Speed Enforcement System Using Empirical Bayes Approach and Turning Point Analysis. Journal of Advanced Transportation No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1181097
American Medical Association (AMA)
Shim, Jisup& Kwon, Oh Hoon& Park, Shin Hyoung& Chung, Sungbong& Jang, Kitae. Evaluation of Section Speed Enforcement System Using Empirical Bayes Approach and Turning Point Analysis. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1181097
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181097