A Data Driven Approach To Derive Traffic Intersection Geography Using High Resolution Controller Logs

Current traffic signal controllers are capable of recording events (signal events; vehicle arrival and departure) at very high resolutions (usually, 10Hz). The high resolution data rates enable the computation and study of various (granular) measures of effectiveness. However, without knowing the location of specific detectors on an intersection and the phases they are mapped to, a number of measures of effectiveness (of signal performance) cannot be evaluated. These mappings may not be available or up to date for many practical reasons (e.g., old infrastructure, mappings not machine readable, maintenance or addition of new lanes, etc.). In this paper, we develop an inference engine to map detectors to phases and distinguish between the stop bar and advance detectors, or in other words, infer the location of the loop detectors with reference to the intersection.