Journals / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2017 / Cilt: 23 - Sayı: 6

A new approach for road traffic accidents: Crash analysis segments model

Karayolu trafik kazalarına yeni bir yaklaşım: Kaza analiz kesimleri modeli

Pages
707–717
Publication Date
2017-12-15
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Consequently, the developed model was tested for a hypothetical road segment with a data set generated theoretically and compared with the other crash analysis models and reliable results were found.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study a comprehensive literature review was done on road traffic accident studies and a new approach named crash analysis segments was developed.
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Key Findings & Data:In this approach, the case area was divided into homogenous analyses segments by considering geometrical and traffic properties of the road segment.
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Conclusion & Impact:Consequently, the developed model was tested for a hypothetical road segment with a data set generated theoretically and compared with the other crash analysis models and reliable results were found.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Kaza analiz kesimleri · Kaza analizi · Trafik kazaları

Abstract

In this study a comprehensive literature review was done on road traffic accident studies and a new approach named crash analysis segments was developed. In this approach, the case area was divided into homogenous analyses segments by considering geometrical and traffic properties of the road segment. The traffic accidents and the accidents factors with their crash severities were defined. The weighted ratios were assigned to the crash factors and to the crash severities after historical traffic accident records were gathered during a defined period for each analysis segments. Each crash analyses segments were ranked by considering their prioritisation after some analyses. Consequently, the developed model was tested for a hypothetical road segment with a data set generated theoretically and compared with the other crash analysis models and reliable results were found.

Özet

Bu çalışmada kaza analizleri konusunda yapılan araştırmaların geniş bir literatür taraması yapılarak kaza analiz kesimleri adında yeni bir yaklaşım modeli geliştirilmiştir. Bu yaklaşımda, kaza analizi yapılacak olan yolun geometrik ve trafik özellikleri dikkate alınarak yol kesimi homojen özellikte kaza analiz kesimlerine bölünmüştür. Çalışma bölgesinde meydana gelen trafik kazalarına etki eden faktörler ve bu faktörlerin sebep olduğu kaza şiddetleri belirlenmiştir. Her bir analiz kesimine ait geçmiş trafik kazaları belirli bir zaman periyodu için incelenmiş, kaza şiddetlerine ve kazaya etki eden faktörlere ağırlık değerleri verilmiştir. Gerçekleştirilen analizlerle her bir kaza analiz kesimi, kaza açısından önem derecesine göre sıralanmıştır. Sonuç olarak, geliştirilen model verileri teorik olarak üretilen kuramsal bir yol kesiminde test edilmiş, diğer kaza analiz modelleriyle karşılaştırılmış ve güvenilir sonuçlar elde edilmiştir.

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Cite This Article

Güler, H. (2017). A new approach for road traffic accidents: Crash analysis segments model. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 23 - Sayı: 6, 707–717. https://ajindex.com/articles/42468

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References (15)

  1. World Health Organization. “Global Plan for the Decade of Action for Road Safety 2011-2020”.
  2. Geneva, Switzerland, 2010. Al-Haji G. Traffic Safety in Developing Countries- New Approaches in Technology Transfer by Using Distance Education Technique, MSc Thesis, Linköping University, Linköping, Sweden, 2001.
  3. Smeed RJ. “Some statistics aspects of road safety research”. Journal of the Royal Statistical Society, Series A, (General), 112(1), 1-34, 1949.
  4. Adams J. “Smeed’s Law: Some further thoughts”. Journal of Traffic Engineering and Control, 10(7), 70-73, 1987.
  5. Oppe S. “Macroscopic models for traffic and traffic safety”. Accident Analysis and Prevention, 21(3), 225-232, 1989.
  6. Koornstra MJ. “The evolution of road safety and mobility”. IATSS (International Association of Traffic and Safety Sciences) Research, 16(2), 129-148, 1992.
  7. Navin F, Bergan A, Qi JA. “Fundamental Relationship for Roadway Safety: A Model for Global Comparisons”. Transportation Research Board, Transportation Research Record, Washington DC, USA, 1441, 1994.
  8. Cheng W, Washington SP. “Experimental evaluation of hotspot identification methods”. Accident Analysis and Prevention, 37(5), 870-881, 2005.
  9. Boroujerdian M, Saffarzadeh M, Abolhasannejad V. “Developing a model for prioritising high crash road segments”. Proceedings of the Institution of Civil Engineers-Transport, 163(1), 19-28, 2010.
  10. Carey J. “Arizona Local Government Safety Project Analysis Model (Final Report 504)”. Phoenix, Arizona, USA, 2001.
  11. Qin X, Ivan JN, Ravishanker N. “Selecting Exposure Measures in Crash Rate Prediction for Two-Lane Highway Segments”. Accident Analysis and Preventation, 36(2), 183-191, 2003.
  12. Pulugurtha SS, Krishnakumar VK, Nambisan SS. “New Methods to Identify and Rank High Pedestrian Crash Zones: Anillustration”. Accident Analysis and Prevention, 39(4), 800-811, 2007.
  13. Hallmark SL, Basavaraju R, Pawlovich M. “Evaluation of the IOWA DOT’s Safety Improvement Candidate List Process”. Iowa State University, Department of Transportation, Ames IA, USA, 2002.
  14. McGuigan DRD. “Non-Junction accident rates and their use in “black-spot identification”. Traffic Engineering Control, 23(2), 60-65, 1982. United States Federal Highway Administration. “Highway Safety Improvement Program (HSIP) Manual. US. Department of Transportation”. Washington DC, USA, 1981.
  15. Ma J, Kockelman K. “Crash frequency and severity modeling using clustered data from washington state”. Proceedings of the IEEE ITSC, IEEE Intelligent Transportation Systems Co