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Evaluation of vehicle detection technologies for applications in Georgia.

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  • Abstract:
    Vehicle detection technologies have been rapidly evolved over the past decade due to the advancement 

    of sensors and wireless communication technologies and the increasing deployment of traffic‐responsive and 

    adaptive traffic control systems, which heavily rely on robust vehicle detection.  Given a variety of vehicle 

    detection  technologies  available,  each  has  its  advantages  and  disadvantages  and  may  or  may  not  be 

    appropriate for specific situations or  contexts. This research study  is  conducted to  identify the  contexts 

    appropriate for different detection technologies.  High‐resolution data were collected in the field from three 

    test sites selected in Georgia.  Data mining techniques were employed to identify potential factors underlying 

    variation in detection errors of different technologies and quantify their respective effects. The quantified 

    effects were then used to construct technical performance measures in terms of accuracy and reliability, 

    referred to as technical performance criteria.   An agency survey was also conducted in Georgia to assess 

    nontechnical performance criteria, such as life cycle cost and ease of installation and maintenance. Both 

    technical and nontechnical performance criteria were considered in evaluating vehicle detection technologies 

    through a multicriteria framework.   Finally, practical constraints frequently encountered in Georgia were 

    considered as part of respective application contexts.  Based on the results and findings, specific guidelines 

    were developed to promote consistency in application of various detection technologies and to enhance 

    efficiency and safety in traffic signal operations in Georgia.

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    urn:sha256:67e519ebd835b32250aa0f5a8c3043ca854d49ff17085e4dfa9519b0a081666e
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