This study presents a warning information system based on an innovate methodology to estimate accident likelihood in real time. Bayesian modeling approach implemented by the probabilistic neural network (PNN) is conducted to identify hazardous traffic conditions leading to potential accident occurrence. The proposed system displays warning signs to call drivers' attention for safer and careful driving once hazardous traffic conditions are observed by evaluating accident likelihood. It is believed that the proposed system to produce effective warning information for real-time safety enhancement could be a valuable tool to highway users and operators.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Real-time hazardous traffic condition warning system: framework and evaluation


    Beteiligte:
    Cheol Oh, (Autor:in) / Jun-Seok Oh, (Autor:in) / Ritchie, S.G. (Autor:in)


    Erscheinungsdatum :

    01.09.2005


    Format / Umfang :

    338067 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Real-time Traffic Condition Warning System

    CHOU FANG-CHIEH / PEDERSEN LIAM / BAIG NAJAMUDDIN MIRZA | Europäisches Patentamt | 2025

    Freier Zugriff

    WIRELESS TRAFFIC CONGESTION AND HAZARDOUS CONDITION DETECTION AND WARNING SYSTEM

    SCHAEFER BRETT HOUSTON / DODSON ANDREW MCCALL / SMITH SCOTT CHRISTOPHER et al. | Europäisches Patentamt | 2015

    Freier Zugriff

    Warning About a Hazardous Situation in Road Traffic

    KLAWITTER MATTHIAS / SUNDERMANN ONNO / SEIB EDUARD | Europäisches Patentamt | 2022

    Freier Zugriff

    Warning about a hazardous situation in road traffic

    KLAWITTER MATTHIAS / SUNDERMANN ONNO / SEIB EDUARD | Europäisches Patentamt | 2023

    Freier Zugriff

    HAZARDOUS POINT WARNING DEVICE AND HAZARDOUS POINT WARNING PROGRAM

    MATSUNAGA TAKAYUKI | Europäisches Patentamt | 2016

    Freier Zugriff