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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/24395

Title: Method to detect malfunctioning traffic count stations
Authors: de Oña, Juan
Gómez, Penélope
Mérida-Casermeiro, Enrique
Issue Date: 2012
Abstract: This study presents a method for the automatic detection of malfunctioning traffic count stations (TCS) in a transport system. First, double linear optimisation is used to detect inadmissible errors in the recordings of a series of TCS and next, the TCS that are most likely to be failing are identified. The method has been applied to an urban traffic network showing success rates up to 93% in identifying the TCS that are failing.
Sponsorship: TRYSE Research Group, Department of Civil Engineering, University of Granada, Spain
Publisher: Institution of Engineering and Technology
Description: "This paper is a postprint of a paper submitted to and accepted for publication in IET Intelligent Transport Systems and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library"
Keywords: Traffic count errors
Fuzzy logic
Optimization
Transport planning
Linear optimization
Data consistency
URI: http://hdl.handle.net/10481/24395
ISSN: 1751-956X
1751-9578
Citation: de Oña, J.; Gómez, P.; Mérida-Casermeiro, E. Method to detect malfunctioning traffic count stations. IET Intelligent Transport Systems, 6(4): 364-371 (2012). [http://hdl.handle.net/10481/24395]
Appears in Collections:TEP246 - Artículos

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