Field evaluation of smart sensor vehicle detectors at intersections - volume 1 : normal weather conditions.
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2012-10-01
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Abstract:Microwave-based vehicle detection products from two manufacturers were selected for field testing and ; evaluation: Wavetronix and Intersector. The two systems were installed by the manufacturer/distributor at a ; signalized intersection. Initial evaluation was performed and the results were shared with the companies. They ; were given an opportunity to change or fine-tune the systems’ setup, if they wanted, resulting in a modified ; setup. Results are presented in this report in terms four types of errors (false, missed, stuck-on, and dropped ; calls). At the stop bar, at least 94% of detections for Wavetronix and 96% for Intersector were correct. At stop ; bar zones, the overall occurrence of false calls for Wavetronix ranged from 0.56% to 1.62%. Missed calls were ; low for Zones 1 and 2 (0.13% and 0.43%) but significantly higher in Zone 3 (6.05%). Also, stuck-on calls were ; only observed in Zone 3 (0.58%), and a few dropped calls were found almost exclusively in Zone 3 (0.16%). For ; Intersector, false calls ranged from 1.4% to 3.56% and missed calls ranged between 0.05% and 0.27%. Stuckon calls ranged from 0.92% for 2.83% and dropped calls were very low (0% and 0.19%). ; At the advance zones, at least 91% of detections for Wavetronix and 99% for Intersector were correct. For the ; advance zone, a direct comparison of the two systems was not performed because Wavetronix covered all ; three lanes combined, but Intersector had one zone covering only the center lane. Wavetronix did not have any ; stuck-on or dropped calls, missed calls were 1.07%, and false calls were 8.29% for the summer and fall ; datasets combined. Intersector had no dropped calls, 0.04% stuck-on calls (only one call), 0.8% missed calls, ; and 0.7% false calls. Additional testing is under way to evaluate the performance of the two systems under ; inclement weather conditions.
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Main Document Checksum:urn:sha256:a17d56a9c764507f9f066e6098d625ed64ee28b0446cb009ccb8c3e4d3f8536b