Sensing system development for HOV/HOT (high occupancy vehicle) lane monitoring.

Details

• Creators:
  Daley, Wayne ; Arif, Omar ; Stewart, John ; Wood, Jack ; Usher, Colin ; Hanson, Erin ; Turgeson, John ; Britton, Doug
• Corporate Creators:
  Georgia Tech Research Institute
• Corporate Contributors:
  Georgia. Dept. of Transportation. Office of Materials & Research
• Subject/TRT Terms:
  • High occupancy vehicle lanes
  • High occupancy toll lanes
  • Remote sensing
  • Vehicle occupancy
  • Machine vision
  • Computer vision
  • HOV, HOV lanes, HOT lanes, Traffic, Vehicle occupancy, Machine vision, Computer vision
• Resource Type:
  Tech Report
• Geographical Coverage:
  Georgia
• Corporate Publisher:
  Georgia. Dept. of Transportation
• Abstract:
  . ; ii ; ABSTRACT ; With continued interest in the efficient use of roadways the ability to monitor the use of HOV/HOT lanes is essential for management, planning and operation. A system to reliably monitor these lanes on a continuous basis and provide usage statistics would be very helpful in supporting management operations and decision making. In this study we evaluated the potential of an imaging system that would be installed on the median wall of HOV/HOT lanes to acquire data on the vehicles using the lanes and the occupancy of these vehicles. A lab prototype consisting of an IR illuminator, a camera, vehicle trigger, a computer and software to control the system was integrated and evaluated. Data was taken at GTRI facilities, sites on the Georgia Tech campus and also on interstate 85. The images taken were then analyzed for their ability to provide the information needed on the usage of the lanes. The results indicate that it would be possible to build a system that would be able to provide the data needed to support the operation of HOV/HOT lanes.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/23066/dot_23066_DS1.pdf
• File Type:
  [PDF - 4.76 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:1d714bd02a997cb5f4fc19984c55a9260ce64aa524576f0ca8a77e26a9cf562b2bec01b5044ba9e820b08a83e968bdfbb0a0957be21c110d3625788e6010eb48