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The application of reliability reallocation model in traffic safety analysis on rural roads

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The number of accidents on rural roads still represents a higher percentage of accidents than those occurring on built-up areas and motorways. Many countries are working on the definition and implementation of strategies that relate to the improvement of traffic safety on rural roads. This paper presents an approach to the analysis of traffic safety and the frequency of traffic accidents. The developed model is based on reliability theory and the application of the reliability reallocation model on data concerning traffic accidents that have occurred on rural roads. To test the model, a state road made up of 20 sections of a total length of 255 km was selected. The analysis of traffic safety on the observed road covers the period between the years 2005 and 2013 (this period is divided into two intervals 2005–2009 and 2010–2013). Following the basic analyses of traffic safety that are positioned in a space-time coordinate system, the next step is the reliability analysis and the ranking of the section. In this paper, the reallocation method was observed from the aspect of the reduction in accident frequency by 10% and the application of the ARINC apportionment technique.
Czasopismo
Rocznik
Strony
115--125
Opis fizyczny
Bibliogr. 18 poz.
Twórcy
  • University of Novi Sad, Faculty of Technical Sciences, Department of Traffic Engineering, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
  • University of Novi Sad, Faculty of Technical Sciences, Department of Traffic Engineering, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
  • University of Novi Sad, Faculty of Technical Sciences, Department of Traffic Engineering, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
  • University of Novi Sad, Faculty of Technical Sciences, Department of Traffic Engineering, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
  • University of Novi Sad, Faculty of Technical Sciences, Department of Traffic Engineering, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
Bibliografia
  • 1. World Health Organization. Global status report on road safety 2015. Geneva: World Health Organization. 2015. 11 p.
  • 2. Adminaite, D.J. & Stipdonk, G. & Ward, H. Ranking EU progress on road safety: 11th road safety Performance Index (PIN) report. Brussels: European Transport Safety Council ETSC. 2017. 7 p.
  • 3. Janstrup, K.H. Road Safety Annual Report 2017. Paris: OECD Publishing. 2017. ISSN 2312-4571. 10 p.
  • 4. European Commission. WHITE PAPER-European Transport Policy for 2010: Time to Decide. Luxembourg: Office for Official Publications of the European Communities. 2001. 15 p. ISBN 92-894-0341-1.
  • 5. Lord, D. & Mannering, F. The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives. Transportation Research Part. 2010. A 44 (5). P. 291-305.
  • 6. Wang, X. & Abdel-Aty, M. Temporal and spatial analyses of rear-end crashes at signalized intersections. Accident Analysis and Prevention. 2006. Vol. 38. P. 1137-1150.
  • 7. Prasannakumar, V. & Vijith, H. & Charutha, R. & Geetha, N. Spatio-temporal clustering of road accidents: GIS based analysis and assessment. Procedia-Social and Behavioral Sciences. 2011. Vol. 21. P. 317-325.
  • 8. Kingham, S. & Sabel, C.E. & Bartie, P. The impact of the ‘school run’ on road traffic accidents: A spatio-temporal analysis. Journal of Transport Geography. 2011. Vol. 19(4). P. 705-711.
  • 9. Blazquez, C.A. & Celis, M.S. A spatial and temporal analysis of child pedestrian crashes in Santiago, Chile. Accident Analysis & Prevention. 2012. Vol. 50. P. 304-311.
  • 10. Bačkalić, S. & Matović, B. & Bašić, A. The time-space approach in the analysis of traffic safety on rural road“. In: 6. International scientific conference Road Research and Administration CAR 2013. Bucharest, 2013.
  • 11. Jovanović, D. & Bačkalić, T. & Bašić, S. The application of reliability models in traffic accident frequency analysis. Safety Science. 2011. Vol. 49(8). P. 1246-1251.
  • 12. Bačkalić, S. & Jovanović, D. & Bačkalić, T. Reliability reallocation models as a support tools in traffic safety analysis. Accident Analysis and Prevention. 2014. Vol. 65, P. 47-52.
  • 13. MIL-HDBK-338B. Military Handbook – Electronic Reliability Design Handbook. Washington, DC: Department of Defense. 1998. P. 34-45.
  • 14. Kumar, D. & Crocker, J. & Chitra, T. & Saranga, H. Reliability and Six Sigma. New York, USA: Springer Science & Business Media. 2006. P. 38-49. ISBN 10:0387302557.
  • 15. Ushakov, I.A. & Harrison, R.A. Handbook of Reliability Engineering. New York, USA: John Wiley & Sons, Inc. 1994. P. 54-60. ISBN 0-471-57173-3.
  • 16. Dhillon, B.S. Reliability, Quality, and Safety for Engineers. Florida. USA: Boca Raton. 2005. P. 28-36. ISBN 0-8493-3068-8.
  • 17. Pham, H. Handbook of reliability engineering. London: Springer. 2003. P. 78-89. ISBN 1852334533.
  • 18. Hauer, E. & Kononov, J. & Allery, B. & Griffith, M. Screening the road network for sites with promise. Transportation Research Record: Journal of the Transportation Research Board. 2002. Vol. 1784. P. 27-32.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7065adeb-3e05-4c6e-a518-da7abac287c5
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