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Methodology Designed to Evaluate Accidents at Intersection Crossings with Respect to Forensic Purposes and Transport Sustainability

Author

Listed:
  • Igor Dirnbach

    (Institute of Forensic Research and Education of University of Žilina, Ulica 1. mája 32, 010 01 Zilina, Slovakia)

  • Tibor Kubjatko

    (Institute of Forensic Research and Education of University of Žilina, Ulica 1. mája 32, 010 01 Zilina, Slovakia)

  • Eduard Kolla

    (Institute of Forensic Research and Education of University of Žilina, Ulica 1. mája 32, 010 01 Zilina, Slovakia)

  • Ján Ondruš

    (Department of Road and Urban Transport, University of Žilina, Univerzitná 1, 01026 Žilina, Slovakia)

  • Željko Šarić

    (Department of Traffic Accidents Expertise, University of Zagreb, Borongajska 83a, 10 000 Zagreb, Croatia)

Abstract

Currently, there are quite a lot of incorrect procedures and mistakes that occur in the forensic area, which lacks analytical approaches toward solving the causes of accidents using s–t diagrams (distance–time diagrams) combined with the software simulation applications. When analyzing accidents, the correct information is of key importance. The aim of this article is to define a new specific technical and analytical approach toward handling expert’s reports on traffic accidents in road transport at intersections, with respect to the traffic lights. A simulation program application is used as a progressive means of accident evaluation. This procedure must become a standard in the methods of modern traffic accident analysis. The application of this methodology with simulation tools for accident reconstruction enables one to perform a very precise analysis of traffic accidents. Mutual space and time relationships of vehicles’ movements have been evaluated here, depending upon the intersection signal plan. To demonstrate the methodology, a real case is used here, reconstructed by means of the complex analytical simulation software PC-Crash. A procedure processed by these means can be beneficial for forensic traffic accident analysis.

Suggested Citation

  • Igor Dirnbach & Tibor Kubjatko & Eduard Kolla & Ján Ondruš & Željko Šarić, 2020. "Methodology Designed to Evaluate Accidents at Intersection Crossings with Respect to Forensic Purposes and Transport Sustainability," Sustainability, MDPI, vol. 12(5), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1972-:d:328576
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    References listed on IDEAS

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    1. Lee, Seunghyeon & Wong, S.C. & Varaiya, Pravin, 2017. "Group-based hierarchical adaptive traffic-signal control part I: Formulation," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 1-18.
    2. Yu, Shaowei & Fu, Rui & Guo, Yingshi & Xin, Qi & Shi, Zhongke, 2019. "Consensus and optimal speed advisory model for mixed traffic at an isolated signalized intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    3. Lee, Seunghyeon & Wong, S.C. & Varaiya, Pravin, 2017. "Group-based hierarchical adaptive traffic-signal control Part II: Implementation," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 376-397.
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    Cited by:

    1. Feifeng Jiang & Kwok Kit Richard Yuen & Eric Wai Ming Lee & Jun Ma, 2020. "Analysis of Run-Off-Road Accidents by Association Rule Mining and Geographic Information System Techniques on Imbalanced Datasets," Sustainability, MDPI, vol. 12(12), pages 1-32, June.
    2. Sappl Hannes & Kubjatko Tibor, 2021. "Evaluation of the Hazard Perception Skills of Young Drivers," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 12(1), pages 78-89, May.

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