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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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2013-10-01
[PDF-379.81 KB]
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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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