This research conducted a field evaluation of the Detection-Control System (D-CS) ateight sites located in four states. D-CS is similar to a traditional advance detector system in that ituses information from detectors located upstream of the intersection to extend the green.However, it differs from traditional advance detector systems because it monitors individualvehicles on the intersection approach on a lane-by-lane basis and on a vehicle length basis. Itthen uses this information to predict the best time to end the major-road through phase. The DCSsoftware continuously evaluates and updates this prediction in real time. The prediction isbased on the number of vehicles currently in (or predicted to soon arrive in) the dilemma zone aswell as the number of conflicting phases with a call for service.Based on the findings to date, D-CS is successful in improving crash surrogate measuresof effectiveness (MOEs). Findings from a regression analysis for one-hour periods indicate thatthe “after” study periods experienced 82 percent fewer red-light violations, 73 percent fewervehicles in the dilemma zone, and 51 percent fewer max-outs than the “before” study periods.The emphasis of D-CS on trucks is a salient feature that makes it unique in comparison to othermethods of dilemma zone protection. The authors recommend that the Government encourageand support a group of interested manufacturers to integrate the D-CS algorithm in theircontrollers.
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