APPLICATIONS OF VIDEO AND MACHINE VISION TECHNOLOGIES TO TRAFFIC SAFETY AND TRANSPORTATION PLANNING IN THE UNITED STATES AND GREAT BRITAIN
Machine vision technologies are increasingly being used to facilitate the analysis of video images for purposes of traffic management, transportation planning, traffic safety, surveillance and security, and other transportation engineering functions. The focus of much of this activity is on the reading and processing of vehicle license plates images captured by video cameras and camcorders. Examples are provided of recent applications in England and the U.S. Included among these examples are: cordon-line origin-destination surveys; measuring travel times on urban expressways and arterials; analyzing patterns of movement within complex freeway interchanges and highway networks; speed violation detection and deterrence, and; establishment of security cordons.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03476049
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Corporate Authors:
PTRC Education and Research Services Limited
Glenthorne House, Hammersmith Grove
London W6OL9, England -
Authors:
- Shuldiner, P W
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Conference:
- Proceedings of the Conference: Road Safety in Europe and Strategic Highway Research Program (SHRP)
- Location: Prague, Czech Republic
- Date: 1995-9-20 to 1995-9-22
- Publication Date: 1996-3
Language
- English
Media Info
- Pagination: p. 109-124
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Serial:
- VTI Conferens
- Publisher: Swedish National Road and Transport Research Institute (VTI)
- ISSN: 0347-6049
Subject/Index Terms
- TRT Terms: Cameras; License plates; Origin and destination; Speed detectors; Traffic safety
- Uncontrolled Terms: Video technology
- Geographic Terms: United Kingdom; United States
- Old TRIS Terms: Speed sensors
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 00723263
- Record Type: Publication
- Report/Paper Numbers: No. 4A, Part 2
- Files: TRIS
- Created Date: Jul 16 1996 12:00AM