Measuring Traffic Performance with the Inductivew Loop Detector Signature Technologies

Inductive loop detection systems are currently the most invested technology for obtaining traffic data in the United States, and are widely deployed on most major freeway networks. With the push towards sustainability in transportation, there is an increasing need to obtain further insight into traffic system performance by obtaining more accurate and comprehensive traffic system performance measures. Inductive loop signature-based system has shown the potential to address the needs with the advantage of its direct compatibility with existing traffic controllers and traffic management center operations. This project proposes a real-time inductive loop signature based vehicle re-identification and vehicle classification system. It will demonstrate a real-time classification of vehicles at each station to FHWA classification scheme and a real-time vehicle tracking system between two locations using inductive loop signature technology. A ground-truth system and evaluation procedure will be set up for system assessment, and the rigorous statistic analysis of tracked against ground-truthed vehicles will be performed. Finally, a point-based performance measures system will be developed using the outputs form the proposed vehicle tracking system.