Method for accuracy assessment of aggregated freeway traffic data

Accurate traffic data are crucial for advanced traveller information and traffic management applications. However, it is widely acknowledged that limitations in the monitoring and communication technologies lead to significant inaccuracies in the estimates of traffic parameters such as traffic volum...

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Main Authors: Jagadeesh, G. R., Dhinesh, G. R., Srikanthan, T.
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/104182
http://hdl.handle.net/10220/20132
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1041822020-05-28T07:18:11Z Method for accuracy assessment of aggregated freeway traffic data Jagadeesh, G. R. Dhinesh, G. R. Srikanthan, T. School of Computer Engineering DRNTU::Engineering::Computer science and engineering Accurate traffic data are crucial for advanced traveller information and traffic management applications. However, it is widely acknowledged that limitations in the monitoring and communication technologies lead to significant inaccuracies in the estimates of traffic parameters such as traffic volume and travel speed. Currently deployed traffic data quality control methods do little more than identifying implausible outliers. This study presents an efficient method based on the concept of spatial consistency for assessing the accuracies of aggregated segment-wise traffic volumes in a freeway network. A novelty of the proposed approach is that unlike most other comparable solutions, it does not depend on the availability of good quality historical traffic data or well-calibrated reference stations. The method has been validated using simulated data generated by a microscopic traffic simulator. It has been found that the accuracy estimates produced by the proposed method strongly correlate with the actual accuracies of the input traffic data that have been corrupted with two types of synthetic errors. Accepted version 2014-07-07T05:34:05Z 2019-12-06T21:27:57Z 2014-07-07T05:34:05Z 2019-12-06T21:27:57Z 2014 2014 Journal Article Jagadeesh, G. R., Dhinesh, G. R., & Srikanthan, T. (2014). Method for accuracy assessment of aggregated freeway traffic data. IET Intelligent Transport Systems, 8(4), 407 - 414. https://hdl.handle.net/10356/104182 http://hdl.handle.net/10220/20132 10.1049/iet-its.2013.0094 179164 en IET Intelligent Transport Systems © 2014 The Institution of Engineering and Technology. This is the author created version of a work that has been peer reviewed and accepted for publication by IET Intelligent Transport Systems, Institution of Engineering and Technology. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1049/iet-its.2013.0094]. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Jagadeesh, G. R.
Dhinesh, G. R.
Srikanthan, T.
Method for accuracy assessment of aggregated freeway traffic data
description Accurate traffic data are crucial for advanced traveller information and traffic management applications. However, it is widely acknowledged that limitations in the monitoring and communication technologies lead to significant inaccuracies in the estimates of traffic parameters such as traffic volume and travel speed. Currently deployed traffic data quality control methods do little more than identifying implausible outliers. This study presents an efficient method based on the concept of spatial consistency for assessing the accuracies of aggregated segment-wise traffic volumes in a freeway network. A novelty of the proposed approach is that unlike most other comparable solutions, it does not depend on the availability of good quality historical traffic data or well-calibrated reference stations. The method has been validated using simulated data generated by a microscopic traffic simulator. It has been found that the accuracy estimates produced by the proposed method strongly correlate with the actual accuracies of the input traffic data that have been corrupted with two types of synthetic errors.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Jagadeesh, G. R.
Dhinesh, G. R.
Srikanthan, T.
format Article
author Jagadeesh, G. R.
Dhinesh, G. R.
Srikanthan, T.
author_sort Jagadeesh, G. R.
title Method for accuracy assessment of aggregated freeway traffic data
title_short Method for accuracy assessment of aggregated freeway traffic data
title_full Method for accuracy assessment of aggregated freeway traffic data
title_fullStr Method for accuracy assessment of aggregated freeway traffic data
title_full_unstemmed Method for accuracy assessment of aggregated freeway traffic data
title_sort method for accuracy assessment of aggregated freeway traffic data
publishDate 2014
url https://hdl.handle.net/10356/104182
http://hdl.handle.net/10220/20132
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