Estimation of travel time using fuzzy clustering method
Zheng, P. and McDonald, M. (2009) Estimation of travel time using fuzzy clustering method. Institution of Engineering and Technology Intelligent Transport Systems, 3, (1), 77-86. (doi:10.1049/iet-its:20080021).
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A methodology to estimate overall travel time from individual travel time measurements within a time window is presented. To better handle data with complex outlier generation mechanisms, fuzzy clustering techniques have been used to represent relationships between individual travel time data collected within a measuring time window. The data set is considered to be a fuzzy set to which each data point belongs at
some degrees of membership. This allows transitions from the main body of data to extreme data points to be treated in a smooth and fuzzy fashion. Two algorithms have been developed based on ‘point’ and ‘line’ fuzzy cluster prototypes. Iterative procedures have been developed to calculate the fuzzy cluster centre and the fuzzy line. A novel estimation method based on time projection of a fuzzy line has been proposed. The
method has the advantage of being robust by using a wide time window and the timeliness by employing time projection in resolving the most recent travel time estimation. Unlike deterministic approaches where hard thresholds need to be specified in order to exclude outliers, the proposed methods estimate travel times using all available data and, thus, can be applied in a wide variety of scenarios without fine tuning of the
|Additional Information:||The Institution of Engineering and Technology is a new institution which has been formed by joining the IEE (Institution of Electrical Engineers) and the IIE (The Institution of Incorporated Engineers)|
|Keywords:||estimation theory, fuzzy set theory, pattern clustering, road traffic|
T Technology > TA Engineering (General). Civil engineering (General)
|Divisions:||University Structure - Pre August 2011 > School of Civil Engineering and the Environment
|Date Deposited:||11 Mar 2010|
|Last Modified:||27 Mar 2014 18:53|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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