All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Developing Updatable Crash Prediction Model for Network Screening: Case Study of Czech Two-Lane Rural Road Segments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F16%3AN0000048" target="_blank" >RIV/44994575:_____/16:N0000048 - isvavai.cz</a>

  • Result on the web

    <a href="http://trrjournalonline.trb.org/doi/abs/10.3141/2583-01" target="_blank" >http://trrjournalonline.trb.org/doi/abs/10.3141/2583-01</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3141/2583-01" target="_blank" >10.3141/2583-01</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Developing Updatable Crash Prediction Model for Network Screening: Case Study of Czech Two-Lane Rural Road Segments

  • Original language description

    The case study focuses on application of crash prediction models in network screening. The two main questions were (1) What variables should be involved in the model? and (2) How long should the modeled time period be? Answers to these questions should provide guidelines to developing ʻupdatableʼ crash prediction model, i.e. a model which is both reliable and simple, so that its updating for periodical network screening is not highly demanding. To this end approximately 1,000 km (600 mi) of two-lane rural road network data from South Moravia (Czech Republic) was used. Based on 8 years of annual crash frequencies, together with exposure and geometrical variables, several variants of prediction models were developed. In order to study their quality, a series of consistency tests was applied, relative to comparison of models themselves, as well as their diagnostic performance. As a result simple crash prediction models (including traffic volume, segment length and curvature change rate) were found as sufficient for network screening. Supposing that length and curvature are not likely to change often, only traffic volume data need to be periodically updated. Based on consistency analyses this time period should be 4 years. Under these conditions, models are currently being applied in the studied region; further planned activities include extensions to intersections and also to other Czech regions.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

  • Name of the periodical

    Transportation Research Record: Journal of the Transportation Research Board

  • ISSN

    0361-1981

  • e-ISSN

  • Volume of the periodical

  • Issue of the periodical within the volume

    2583

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    7

  • Pages from-to

    1-7

  • UT code for WoS article

    000385898500002

  • EID of the result in the Scopus database

    2-s2.0-84976322336