Abstract
Section-based traffic information is known to better reflect traffic dynamics and changes compared to the point traffic measurements. Furthermore, travel time, one of the section-related traffic measurements, plays a significant role in traffic operation and control and is directly available by tracing individual vehicles. Therefore, many studies have been conducted to obtain accurate travel time based on available infrastructure and traffic sensors. This paper demonstrates a new approach to fuse raw traffic data from heterogeneous sensors at different locations for vehicle tracking and expands the study scope to travel time estimation accuracy analysis. Results from H-TRAUSRF, a vehicle tracking system for Heterogeneous detector based TRAffic SURveillance and perFormance (H-TRASURF), give new insights in maximizing currently implemented detectors.