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Traffic Accident Prediction Based on Comprehensive Data Comparison

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F21%3A00355442" target="_blank" >RIV/68407700:21260/21:00355442 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Traffic Accident Prediction Based on Comprehensive Data Comparison

  • Original language description

    The project aims to improve the road safety by identification of potentially risky locations on roads that show similarities to known accident locations. This contribution presents an algorithm that is combining the commonly used methods and the road characteristics identified through the road network analysis and road passport. It is able to search for potentially risky locations on the road network and alert the road managers to the potentially risk prone sites.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20104 - Transport engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Transport for Today’s Society - Proceedings

  • ISBN

    978-9989-786-63-1

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    234-237

  • Publisher name

    University St Kliment Ohridski Bitola

  • Place of publication

    Bitola

  • Event location

    Bitola

  • Event date

    Oct 14, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article