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Identification of Hazardous Locations in Regional Road Network – Comparison of Reactive and Proactive Approaches

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F16%3AN0000055" target="_blank" >RIV/44994575:_____/16:N0000055 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.trpro.2016.05.392" target="_blank" >http://dx.doi.org/10.1016/j.trpro.2016.05.392</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.trpro.2016.05.392" target="_blank" >10.1016/j.trpro.2016.05.392</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Identification of Hazardous Locations in Regional Road Network – Comparison of Reactive and Proactive Approaches

  • Original language description

    The study objective is to compare three approaches to identification of hazardous road locations: (1) Traditional reactive accident-based approach, resulting in identification of accident black spots; (2) State-of-the-art empirical Bayes method using accident prediction model, which identifies critical locations, i.e. both real and potential black spots; (3) Proactive “preliminary” road safety inspection, identifying the risk factors, which may potentially increase accident occurrence and severity. Regional rural road network (approx. 1000 km) in South Moravia, Czech Republic was used. The methods were applied in identification and ranking of hazardous road locations in the studied network. It was found that black spot approach is not a suitable method, especially in low-volume road network with scattered accident occurrence. On the other hand risk index, based on road safety inspection, is a valid alternative, with ranking performance comparable to state-of-the-art empirical Bayes method. In addition both empirical Bayes and risk index methods are compared with respect to their data requirements. Their mutual application is recommended as a suitable replacement of traditional black spot management, as well as a step forward to a proactive road network safety management.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20104 - Transport engineering

Result continuities

  • Project

    <a href="/en/project/ED2.1.00%2F03.0064" target="_blank" >ED2.1.00/03.0064: Transport R&D Centre</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Transportation Research Procedia (Transport Research Arena TRA2016)

  • ISBN

  • ISSN

    2352-1465

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    4209-4217

  • Publisher name

  • Place of publication

  • Event location

    Varšava

  • Event date

    Apr 18, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000383251004032