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Advanced Approaches to Traffic Accident Prevention

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F15%3A00002418" target="_blank" >RIV/46747885:24310/15:00002418 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Advanced Approaches to Traffic Accident Prevention

  • Original language description

    This paper introduces advanced approaches to traffic accident prevention. If employed, these novel methods would significantly increase traffic safety not only in the Czech Republic. The first part of the paper describes a fully automated distribution ofwarning messages to drivers who are headed towards a traffic accident using an addressed broadcast system of RADIO-HELP. The second part is dedicated to a concept of an early warning system. This system warns about a high risk of a traffic accident under specific conditions using prediction models, which predict a degree of an accident threat in real time and space.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 26th International Business Information Management Association Conference

  • ISBN

    978-0-9860419-5-2

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    2236-2244

  • Publisher name

    IBIMA

  • Place of publication

    Madrid

  • Event location

    Madrid

  • Event date

    Jan 1, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000366872700225