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Field evaluation of smart sensor vehicle detectors at railroad grade crossings -- volume 3 : performance in favorable weather conditions.

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English


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  • Abstract:
    The performance of a microwave radar system for vehicle detection at a railroad grade crossing in Hinsdale, ; Illinois, was evaluated through field-testing in favorable (normal, good) weather conditions. The system was ; installed at a crossing with three tracks and used two radar units aimed at the crossing from opposite quadrants. ; The performance was assessed in terms of false calls, missed calls, stuck-on calls, and dropped calls, using ; datasets collected in favorable (good) weather conditions. First, the system performance was assessed using ; the initial setup. In the initial setup, the most frequent error type was false calls (0.55%), mainly the result of ; activations caused by pedestrians and bicyclists in the crossing; followed by missed calls caused by one of the ; radars missing a vehicle (0.07%). These results were shared with the product developer to see whether he ; wanted to make any modification to the initial setup. In the modified setup, the detection zones and the aim of ; one of the radars were changed. Then, the system performance was evaluated. Results for the modified setup ; showed an increased frequency of false calls (0.96%), mostly the result of activations generated by moving ; gates and also by pedestrians. Missed calls in the modified setup were slightly increased to 0.09%, and they ; were due to one of the two radar units missing a vehicle. There were no missed calls when the system relied on ; the two radar units because at least one of the two always detected the vehicles occupying the crossing. The ; system did not generate any stuck-on or dropped calls in the selected data for both the initial and the modified ; setup in favorable (good) weather conditions. Additional testing is under way to evaluate the system in adverse ; weather conditions, including snow-covered roadways, rain, fog, and wind.
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    urn:sha256:62336fb07edcf76d3beae8db60fe209f0151f3dd4891774135d1925b78539bb8
File Language:
English
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