The Florida Department of Transportation (FDOT) has implemented freeway service patrol programs at major urban areas to ease traffic congestion due to non-recurring incidents. This paper describes an effort to use data mining techniques to extract information from the service patrol databases for Broward and Palm Beach counties, Florida. A pattern-based geocoding process was developed to geocode the databases. Geocoding was needed because the incident records do not contain specific geographic coordinates, but only a general description of the incident locations. An intelligent parser program was developed to scan and parse location information patterns to identify specific geographic locations. The program was able to achieve a high geocoding rate of over 95% for the service databases. A spatial analysis example making use of the geocoded data was demonstrated.


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    Titel :

    Analyzing Freeway Service Patrol Data


    Beteiligte:
    Zhan, Chengjun (Autor:in) / Gan, Albert (Autor:in) / Hadi, Mohammed (Autor:in)

    Kongress:

    Ninth International Conference on Applications of Advanced Technology in Transportation (AATT) ; 2006 ; Chicago, Illinois, United States



    Erscheinungsdatum :

    2006-08-04




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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