Abstract
Traffic operations and control is highly dependent on traffic data collected from loop detectors, which is presently the most widely used traffic sensor. In addition, collected data needs to be aggregated or filtered in a way that can be understood and used by TMC operators. This paper introduces a new way to gather intelligent traffic data using state-of-art traffic sensors and demonstrates a framework for vehicle re-identification research through PARAMICS (PARAllel MICroscopic traffic Simulator), a traffic micro simulation model. Furthermore, through estimated travel time analysis, this paper provides a guideline for optimal aggregation interval selection depending on road geometry characteristics when combined with collected traffic information.
