This research investigates methodologies for fusing and further processing real-time road traffic data collected by probe vehicles and induction loop detectors in order to obtain relevant traffic information that is essential for effective deployment of Advanced Traffic Management Information Systems (ATMIS). Methods for estimating travel times and performing automatic incident detection for ATMIS based on induction loop or probe vehicle data are developed. By properly incorporating additional traffic data from the other source the performance of the developed methods is shown to improve.