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An international review of challenges and opportunities in development and use of crash prediction models

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F18%3AN0000042" target="_blank" >RIV/44994575:_____/18:N0000042 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://link.springer.com/article/10.1186/s12544-018-0307-7" target="_blank" >https://link.springer.com/article/10.1186/s12544-018-0307-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s12544-018-0307-7" target="_blank" >10.1186/s12544-018-0307-7</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    An international review of challenges and opportunities in development and use of crash prediction models

  • Popis výsledku v původním jazyce

    Over the past ten years, building on road infrastructure data, crash prediction models (CPMs) have become fundamental scientific tools for road safety management. However, there is a gap between state-of-the-art and state-of-the-practice, with the practical application lagging behind scientific progress. This motivated a review of international experience with CPMs from perspectives of application by practitioners and development by researchers. The objective of the paper is to improve practitioner understanding of modelling road safety performance using CPMs for crash frequency estimation, leading to their greater uptake in improving road safety. In short, why and how should road safety practitioners consider CPMs? Both scientific and practice-oriented literature was retrieved, using academic sources, as well as reports of road agencies or institutes. The selection was limited to English language. From the review it is clear that developing CPMs is not a straightforward task: there are many available choices and decisions to be made during the process without definite guidance. This explains the diversity of approaches, techniques, and model types. The paper explains how some fundamental modelling decisions affect practical aspects of modelling safety performance. There is a need to identify CPM solutions that will be scientifically sound and feasible in practitioners’ context. Together with increased communication between researchers and practitioners, these solutions will help overcome the identified challenges and increase use of CPMs.

  • Název v anglickém jazyce

    An international review of challenges and opportunities in development and use of crash prediction models

  • Popis výsledku anglicky

    Over the past ten years, building on road infrastructure data, crash prediction models (CPMs) have become fundamental scientific tools for road safety management. However, there is a gap between state-of-the-art and state-of-the-practice, with the practical application lagging behind scientific progress. This motivated a review of international experience with CPMs from perspectives of application by practitioners and development by researchers. The objective of the paper is to improve practitioner understanding of modelling road safety performance using CPMs for crash frequency estimation, leading to their greater uptake in improving road safety. In short, why and how should road safety practitioners consider CPMs? Both scientific and practice-oriented literature was retrieved, using academic sources, as well as reports of road agencies or institutes. The selection was limited to English language. From the review it is clear that developing CPMs is not a straightforward task: there are many available choices and decisions to be made during the process without definite guidance. This explains the diversity of approaches, techniques, and model types. The paper explains how some fundamental modelling decisions affect practical aspects of modelling safety performance. There is a need to identify CPM solutions that will be scientifically sound and feasible in practitioners’ context. Together with increased communication between researchers and practitioners, these solutions will help overcome the identified challenges and increase use of CPMs.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20104 - Transport engineering

Návaznosti výsledku

  • Projekt

    Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2018

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    European Transport Research Review

  • ISSN

    1867-0717

  • e-ISSN

    1866-8887

  • Svazek periodika

    10

  • Číslo periodika v rámci svazku

    2

  • Stát vydavatele periodika

    CH - Švýcarská konfederace

  • Počet stran výsledku

    10

  • Strana od-do

    nestránkovano

  • Kód UT WoS článku

    000438709100001

  • EID výsledku v databázi Scopus