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原文传递 Field Evaluation of Smart Sensor Vehicle Detectors at Railroad Grade Crossings???Volume 4: Performance in Adverse Weather Conditions.

题名：	Field Evaluation of Smart Sensor Vehicle Detectors at Railroad Grade Crossings???Volume 4: Performance in Adverse Weather Conditions.
作者：	J. C., Medina; R. F., Benekohal
关键词：	Collision Avoidance; Emergency Vehicles; Evaluation; Highways; Motor Vehicles; Railroad Grade Crossings; School Buses; System Performance; Testing; Trains; Vehicle Proximity Alert System(vpas); Warnin
摘要：	The performance of a microwave radar system for vehicle detection at a railroad grade crossing with quadrant gates was evaluated in adverse weather conditions: rain (light and torrential), snow (light and heavy), dense fog, and wind. The first part of this report compares the results of the modified system setup in adverse weather conditions with those from good weather conditions (as presented in Volume 3 of this study). Then, the results of a re-modified system setup were compared to the results for the modified system setup in good and adverse weather conditions. The re-modification was in response to increased detection errors in adverse weather conditions. With the modified setup, system performance was sensitive to the adverse weather conditions. In torrential rain, false calls increased to 24.82%???27.08% (e.g., May 28 and June 1) when there was some traffic on the crossing. However, when there was torrential rain but only one vehicle (e.g., May 31) or no traffic flow (e.g., June 10), the radar units generated 15 false calls on each of those 2 days. For all heavy snow data-sets combined, missed calls by a single radar unit and by the two radar units working as a combined unit (i.e., system wide) represented 13.51% and 11.66% of the loop calls, respectively. The most severe snow effects were found during freezing rain/ice. In dense fog, false calls increased to 11.58%, and all false calls were generated when the gates were moving or in the down position. Wind did not affect system performance, and the errors were similar to those in good weather conditions. With the re-modified setup, the frequency of errors in heavy rain and heavy snow conditions was reduced and system performance was similar to the good weather, light rain, and light snow conditions. In heavy rain, false calls in the re-modified setup were reduced to 2.6% compared with 30.5% in the modified setup. This reduction was the result of a significant decrease in the false calls generated without ob
报告类型：	科技报告