Vehicle Reidentification and Travel Time Measurement Using Loop Detector Speed Traps
Benjamin Andre Coifman
Institute of Transportation Studies, Research Reports, Working Papers, Proceedings from Institute of Transportation Studies, UC Berkeley
Abstract:
This dissertation presents a vehicle reidentification algorithm for consecutive detector stations on a freeway, whereby a vehicle measurement made at a downstream detector station is matched with the vehicle’s corresponding measurement at an upstream station. The algorithm should improve freeway surveillance by measuring the actual vehicle travel times; these are simply the differences in the times that each (matched) vehicle arrives to the upstream and downstream stations. Thus, it will be possible to quantify conditions between widely spaced detector stations rather than assuming that the local conditions measured at a single station are representative of an extended link between stations.
Keywords: Engineering; Traffic flow--Measurement; Travel time (Traffic engineering); Motor vehicles--Automatic location systems; Speed limits; Express highways--Management; Loop detectors; Traffic surveillance (search for similar items in EconPapers)
Date: 1998-12-01
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Citations: View citations in EconPapers (12)
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Persistent link: https://EconPapers.repec.org/RePEc:cdl:itsrrp:qt5d69n86x
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