The purpose of this system is to reduce the rate of dangerous events caused by various driving factors. We compose a driving relational map as the system inputs factors of driver behavior, nearby vehicles and roadway factors, and then put this driving relational map into the matching process with dangerous driving relational maps. If the similarity between the driving relational map and one of the dangerous driving relational maps is high, a dangerous event may occur. At this time the system will warn the driver to watch out for this dangerous event. Along with the learning process based on case-base reasoning, the system will become a flawless danger prediction system.


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    Titel :

    Dangerous Prediction by Case-Based Approach on Expressways


    Beteiligte:
    Fang, C. Y. (Autor:in) / Wu, P. Y. (Autor:in) / Chang, S. L. (Autor:in) / Chen, S. W. (Autor:in)


    Erscheinungsdatum :

    2008-10-01


    Format / Umfang :

    196022 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Expressways of Hartford

    Twiss, F.E. | Engineering Index Backfile | 1947


    New expressways for Hartford

    Engineering Index Backfile | 1945


    Influence of expressways

    Mortimer, W.J. | Engineering Index Backfile | 1956


    Planning our urban expressways

    Maier, E. | Engineering Index Backfile | 1958