Development of a video-based traffic data collection system.
2011-02
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Development of a video-based traffic data collection system.
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2011-02
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Abstract
Automatic traffic data collection can significantly save labor work and cost
compared to manual data collection. The collected traffic data is necessary for traffic
simulation and modeling, performance evaluation of the traffic scene, and eventually
(re)design of the traffic scene. However, automatic traffic data collection has been one of
the challenges in Intelligent Transportation Systems (ITS). This thesis presents the
development of a single camera based video system for automatic traffic data collection
for roundabouts and intersections. The system targets roundabouts and intersections
because no mature data collection systems exist for these traffic scenes yet in contrast to
highway scenes. The developed system has mainly three steps of processing. First, the camera is calibrated for the traffic scene of interest and a novel circle-based calibration
algorithm is proposed for roundabouts. Second, the system tracks vehicles from the video
by incorporating powerful imaging processing techniques and tracking algorithms.
Finally, the resulting vehicle trajectories from vehicle tracking are analyzed to extract the
interested traffic data, which includes vehicle volume, vehicle speed (including
acceleration/de-acceleration behavior), travel time, rejected gaps, accepted gaps, follow up time and lane use. Practical tests of the developed system show that it can reliably
track vehicles and provide reasonably accurate traffic data in most cases.
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University of Minnesota M.S. thesis. Major:Department of Electrical
and Computer Engineering (Duluth). Advisor: Dr. Hua Tang. 1 computer file (PDF); vi, 55 pages. Ill. (some col.)
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Dinh, Hai Quang. (2011). Development of a video-based traffic data collection system.. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/102271.
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