Applying Clustered KNN Algorithm for Short-Term Travel Speed Prediction and Reduced Speed Detection on Urban Arterial Road Work Zones

This study developed and verified a travel speed prediction model based on the travel speed and work zone statistics collected from the advanced traffic management system (ATMS) real-time data in Daegu, South Korea. A clustered K-nearest neighbors (CKNN) algorithm was used to predict travel speed, r...

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Main Authors: Hyun Su Park, Yong Woo Park, Oh Hoon Kwon, Shin Hyoung Park
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2022/1107048
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author Hyun Su Park
Yong Woo Park
Oh Hoon Kwon
Shin Hyoung Park
author_facet Hyun Su Park
Yong Woo Park
Oh Hoon Kwon
Shin Hyoung Park
author_sort Hyun Su Park
collection DOAJ
description This study developed and verified a travel speed prediction model based on the travel speed and work zone statistics collected from the advanced traffic management system (ATMS) real-time data in Daegu, South Korea. A clustered K-nearest neighbors (CKNN) algorithm was used to predict travel speed, resulting in a 6.9% average mean absolute percentage error (MAPE) using the data from 1,815 work zones. Furthermore, road network impact due to road work was calculated by comparing the travel speed prediction results obtained from the historical speed data. The predicted travel speed data in a work zone generated from this study is expected to allow drivers to select optimized paths and use them for traffic management strategies to operate in a work zone efficiently.
format Article
id doaj-art-99bbb49ac1074465a324197a835ac9b0
institution Kabale University
issn 2042-3195
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-99bbb49ac1074465a324197a835ac9b02025-02-03T01:00:46ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/1107048Applying Clustered KNN Algorithm for Short-Term Travel Speed Prediction and Reduced Speed Detection on Urban Arterial Road Work ZonesHyun Su Park0Yong Woo Park1Oh Hoon Kwon2Shin Hyoung Park3The Institute of Urban ScienceDepartment of Transportation EngineeringDepartment of Transportation EngineeringDepartment of Transportation EngineeringThis study developed and verified a travel speed prediction model based on the travel speed and work zone statistics collected from the advanced traffic management system (ATMS) real-time data in Daegu, South Korea. A clustered K-nearest neighbors (CKNN) algorithm was used to predict travel speed, resulting in a 6.9% average mean absolute percentage error (MAPE) using the data from 1,815 work zones. Furthermore, road network impact due to road work was calculated by comparing the travel speed prediction results obtained from the historical speed data. The predicted travel speed data in a work zone generated from this study is expected to allow drivers to select optimized paths and use them for traffic management strategies to operate in a work zone efficiently.http://dx.doi.org/10.1155/2022/1107048
spellingShingle Hyun Su Park
Yong Woo Park
Oh Hoon Kwon
Shin Hyoung Park
Applying Clustered KNN Algorithm for Short-Term Travel Speed Prediction and Reduced Speed Detection on Urban Arterial Road Work Zones
Journal of Advanced Transportation
title Applying Clustered KNN Algorithm for Short-Term Travel Speed Prediction and Reduced Speed Detection on Urban Arterial Road Work Zones
title_full Applying Clustered KNN Algorithm for Short-Term Travel Speed Prediction and Reduced Speed Detection on Urban Arterial Road Work Zones
title_fullStr Applying Clustered KNN Algorithm for Short-Term Travel Speed Prediction and Reduced Speed Detection on Urban Arterial Road Work Zones
title_full_unstemmed Applying Clustered KNN Algorithm for Short-Term Travel Speed Prediction and Reduced Speed Detection on Urban Arterial Road Work Zones
title_short Applying Clustered KNN Algorithm for Short-Term Travel Speed Prediction and Reduced Speed Detection on Urban Arterial Road Work Zones
title_sort applying clustered knn algorithm for short term travel speed prediction and reduced speed detection on urban arterial road work zones
url http://dx.doi.org/10.1155/2022/1107048
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