Automated extraction of traffic parameters through video image processing

Panos G Michalopoulos

Research output: Contribution to conferencePaperpeer-review

Abstract

Vehicle detection appears to be the weakest link for advanced traffic suveillance and control. Existing equipment has limitations and presents maintenance and reliability problems preventing major advances in traffic control technology. What is needed is a wireless type of detection that addresses these problems and has artificial vision capabilities for detailed traffic data extraction. This technique uses a computer and software to analyze the roadway images and extract the information neeed for traffic surveillance and control. This system was developed over a period of 5 years through MnDOT, FHWA, and University of Minnesota funding. Testing of the AUTOSCOPE system is still ongoing and further results should be reported in the future. However, given what we know now it is safe to conclude that AUTOSCOPE is a viable and effective device for multilane-multispot vehicle detection and automatic traffic parameter extraction.

Original languageEnglish (US)
Pages33-37
Number of pages5
StatePublished - Aug 1 1990
EventCompendium of Technical Papers - 60th Annual Meeting of Institute of Transportation Engineers - Orlando, FL, USA
Duration: Aug 5 1990Aug 8 1990

Other

OtherCompendium of Technical Papers - 60th Annual Meeting of Institute of Transportation Engineers
CityOrlando, FL, USA
Period8/5/908/8/90

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