Real-world traffic data collection, extraction, and analysis at a microscopic level is necessary for modeling various traffic and transportation phenomena. In developing countries such as India, where the traffic is characterized by different vehicle types and non-lane-based vehicle movement, an effective tool for vehicle data extraction and analysis is necessary. Development of a fully automated software tool for vehicle trajectory extraction is practically impossible because of the weak lane-based movement of vehicles and occlusion. For addressing these issues, a semiautomated tool, a traffic data extractor, was developed to extract the details of vehicle movements with good accuracy (0.1 s). A videographic survey followed by a camera calibration technique was used to obtain the real-world coordinates from two-dimensional image coordinates. The concept of a vanishing point–based camera calibration technique was used in this tool. The steps involved in handling the developed tool and its applications in microscopic traffic data extraction and analysis are presented.


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    Titel :

    Semiautomated Tool for Extraction of Microlevel Traffic Data from Videographic Survey


    Weitere Titelangaben:

    Transportation Research Record


    Beteiligte:


    Erscheinungsdatum :

    2014-01-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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