Improved Data Measurement Using Existing Loop Detectors
Benjamin Coifman
Institute of Transportation Studies, Research Reports, Working Papers, Proceedings from Institute of Transportation Studies, UC Berkeley
Abstract:
This paper develops an improved algorithm for estimating velocity from isolated loop detector data. Unlike preceding works, the algorithm is simple enough that it can be implemented using existing controller hardware. The discussion shows how the benefits of this work extend to automated tests of detector data quality at dual loop speed traps. Finally, this paper refutes an earlier study that found conventional isolated loop velocity estimates are biased keywords: traffic surveillance, single loop detectors, velocity estimation data screening
Keywords: Motor vehicles--Speed; Traffic estimation; Computer algorithms; Loop detectors (search for similar items in EconPapers)
Date: 1999-07-01
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.escholarship.org/uc/item/8m6899gm.pdf;origin=repeccitec (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cdl:itsrrp:qt8m6899gm
Access Statistics for this paper
More papers in Institute of Transportation Studies, Research Reports, Working Papers, Proceedings from Institute of Transportation Studies, UC Berkeley Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().