Augmenting Inductive Loop Vehicle Sensor Data with SPAT and GrID (MAP) via Data Fusion

Our goal is to create a demonstrable software system that we call IntelliFusion, which fuses Connected Vehicle data with data from traditional inductive loop detectors and uses this data to improve traffic control at intersections across the country. Our work will improve the safety of intersections and improve the mobility of traffic through adaptive traffic control which uses data produced by IntelliFusion. The process of data fusion involves merging data obtained from traditional inductive loop detectors or similar presence detectors, and data obtained from a combination of Connected Vehicle Signal Phasing and Timing (SPAT), MAP data, and individual vehicle data from vehicles equipped with Dedicated Short Range Communications (DSRC) On-Board Units (OBUs) communicating Basic Safety Messages (BSM). It is assumed that the Road Side Equipment (RSE) will have as a minimum the vehicle reference number, vehicle latitude, and vehicle longitude of each operational DSRC equipped vehicle within range of an intersection.