The Application of Empirical Bayes Approach for Identifying and Ranking Hazardous Junctions Case Study:
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- KUSUMAWATI Aine
- Faculty of Civil & Environmental Engineering, Institut Teknologi Bandung
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- WONG Yiik Diew
- School of Civil & Environmental Engineering, Nanyang Technological University
書誌事項
- タイトル別名
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- Singapore Signalized Junctions
説明
The identification and ranking of hazardous road locations are important parts of road safety improvement programs. This paper describes the application of Empirical Bayes (EB) approach for identifying and ranking hazardous junctions. Accident, traffic, and junction geometric/environment data from 203 four-legged and 186 three-legged signalized junctions across western part of Singapore were collected. Accident prediction models were developed and safety of the junctions was estimated. After that, hazardous junctions were identified using probability of selecting the worst site concept and then ranked using PSI (potential for safety improvement) and LH (level of hazard) criteria. A total of 38 junctions were found as hazardous. The result shows that the use of PSI criterion is more favorable than LH criterion as it is better able to detect the top hazardous junctions with the largest number of accidents in the study period.
収録刊行物
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- Journal of the Eastern Asia Society for Transportation Studies
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Journal of the Eastern Asia Society for Transportation Studies 8 (0), 2062-2077, 2010
Eastern Asia Society for Transportation Studies
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詳細情報 詳細情報について
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- CRID
- 1390282680267661568
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- NII論文ID
- 130000401070
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- ISSN
- 18811124
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可