The conventional traffic sensors typically provide volume, occupancy, vehicle presence and speed data. Vehicle reidentification is an emerging advanced sensor technology that aims to provide more data for travel information, travel time estimation, vehicle clasification, emission, and origin-destination (OD) estimation applications. Our knowledge and experiences on advanced sensor technologies are based on more than ten-years’ academic research. Click here for the recent research progress, led by Professor Stephen Ritchie, at University of California Irvine.

Through a Small Business Innovation Research (SBIR) project sponsored by USDOT, we have demonstrated the potential of the technology. We are currently investigating its applications to both arterials and freeways in order to provide a more accurate traffic performance measurement system.