Field test implementation of queue control : final report.
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2011-12-01
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Abstract:A major challenge for implementing queue control has been to accurately estimate on-ramp queue lengths, particularly during saturated onramp
conditions, when the vehicle queue extends around or beyond the ramp entrance. The main outcome of the research was the development
and field test verification of an accurate on-ramp queue length estimation algorithm based on vehicle re-identification, which performs
reliably even under severe on-ramp saturated conditions. Four different queue estimation methodologies were studied using wireless magnetic
sensors installed on a single lane loop on-ramp. Queue length estimation based on (i) occupancy measurements at ramp entrance, (ii) vehicle
counts at on-ramp entrance and exit, (iii) speed measurements at ramp entrance, and (iv) vehicle re-identification were considered. These
queue estimation methods were evaluated using available raw and processed sensor data, retrieved from the test site through mobile data
communication and downloaded from a server. The accuracy and reliability of the queue estimation methods were studied using ground truth
data obtained from video.
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