This paper describes an effort to gather lane-changing and passing driver behavior data using naturalistic observation methods. Participants were ordinary commuters who drove instrumented vehicles to and from work while data were automatically collected. The three types of data included driver, vehicle response, and vehicle interaction data via collected video, vehicle sensor, and radar systems. These data were combined using a data integration system to understand lane-change and passing maneuvers. Developed specifically for this project, this system allows analysts to understand and characterize lane-changing and passing maneuvers by presenting the three types of data in an intuitive, integrated manner. The integrated data will facilitate understanding of driver behavior. This understanding will assist designers in the development of future crash reduction countermeasures including Crash Avoidance Systems (CAS).


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    Title :

    A Unique Approach for Data Analysis of Naturalistic Driver Behavior


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Future Transportation Technology Conference & Exposition ; 2001



    Publication date :

    2001-08-20




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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