An Integration of Different Computing Approaches in Traffic Safety Analysis
Traffic safety is one of the crucial problems of many countries in the world. To handle this problem, a great deal of research has been conducted considering various methods. This study includes analyses of black spots using different computing approaches. Integration of cluster analysis, entropy approach and fuzzy logic approaches are used in the analyses. The conventional black spot identification method includes marking the location of each accident with a pin and investigation of black spots considering density of the pins on a map. In this study, a systematic approach is employed. Firstly, the traffic accidents data of Denizli city have been analyzed using the fuzzy clustering methods. The spots that are densely located around the cluster centers are determined as “black spots”. Secondly, the safety levels of black spots’ are determined by Shannon Entropy Approach considering accident types and effective factors on accident occurrence. Geometrical and physical conditions, traffic volumes, average speeds and average accident rates at around black spots are considered as effective factors on occurrence of accidents. Entropy values are calculated using these parameters. Thirdly, the safety levels are classified by both fuzzy logic and crisp approaches based on calculated entropy values. Validation of entropy approach is tested by Chi-Square and truth value methods. The results are evaluated regarding all features of the black spots, and a series of recommendations to improve traffic safety are reported.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2017 Yetis Sazi Murat and Ziya Cakici. Published by Elsevier B.V.
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Authors:
- Murat, Yetis Sazi
- Cakici, Ziya
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Conference:
- 19th EURO Working Group on Transportation Meeting "Simulation and Optimization of Traffic and Transportation Systems", EWGT 2016
- Location: Istanbul , Turkey
- Date: 2016-9-5 to 2016-9-7
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 265-274
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Serial:
- Transportation Research Procedia
- Volume: 22
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Cluster analysis; Crash rates; Fuzzy logic; High risk locations; Traffic crashes; Traffic safety; Traffic volume
- Geographic Terms: Denizli (Turkey)
- Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01636280
- Record Type: Publication
- Files: TRIS
- Created Date: May 26 2017 11:31AM