Abstract
Section-related or link-based data can arguably provide reliable and accurate inputs for traffic surveillance and performance measurement systems. To obtain section-related data, vehicle reidentification plays an important role since section performance measurements can be generated easily via a vehicle reidentification system. Among vehicle reidentification systems, ILD (inductive loop detector) based systems are cost-effective because the ILDs are largely installed in the field (with fewer market penetration concerns), and are essentially anonymous systems with few if any privacy concerns. Accordingly, the authors recently developed an algorithm, RTREID-2, using inductive loop signature-based methods for vehicle reidentification (ILD-VReID) and which was dedicated to meet the needs for real-time implementation and section performance measurement. RTREID-2 was developed by utilizing a Piecewise Slope Rate (PSR) approach to transform the raw vehicle signatures obtained from square loops (only). This paper reports the results of a 6.2 mile freeway corridor implementation of RTREID-2 under congested morning peak-period conditions. Although RTREID-2 has been designed for real-time operation, this initial corridor investigation was conducted off-line. The corridor contained mostly round inductive loop sensors with some square loops, providing an opportunity to assess the applicability and transferability of RTREID-2 to homogeneous and heterogeneous loop sensor systems. A freeway corridor and section travel time and speed analysis was conducted and excellent results were obtained, compared with GPS measurements from control vehicles. The results suggest that RTREID-2 has the potential to be implemented successfully in a congested freeway corridor, utilizing either or both round or square inductive loop sensors.