Evaluation of vehicle detection technologies for applications in Georgia.
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2015-10-01
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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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