Data-Driven Analysis for Road Traffic Conditions Using Digital Tachograph Data

Traffic condition analysis requires various conditions to be met using the conventional method. This has the limitation that it does not reflect the congestion caused by the actual vehicle flow. In this study, we suggest data-based traffic condition analysis. This is a method of determining the dyna...

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Main Authors: Sung-Bum Yun, SoonYong Park
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/36/1/49
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author Sung-Bum Yun
SoonYong Park
author_facet Sung-Bum Yun
SoonYong Park
author_sort Sung-Bum Yun
collection DOAJ
description Traffic condition analysis requires various conditions to be met using the conventional method. This has the limitation that it does not reflect the congestion caused by the actual vehicle flow. In this study, we suggest data-based traffic condition analysis. This is a method of determining the dynamic traffic conditions using Digital TachoGraph data, which can reflect the flow rate and the traveling speed of vehicles by the actual time zone. The suggested system could be implemented in both public and private sectors to create new possibilities and insights. For the public sector, police patrol vehicles can implement the system to create a ‘dynamic service area’ which would enhance efficiency for security patrols. For private sectors, the system could be applied to various call-dispatch systems to minimize waiting time for customers and driving distance for drivers. Also, it could be applied to upcoming autonomous vehicle sharing systems to ensure maximum coverage for autonomous cars.
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spelling doaj.art-1fc188b2cd3645af9abce420b48df57b2024-03-27T13:36:33ZengMDPI AGEngineering Proceedings2673-45912023-07-013614910.3390/engproc2023036049Data-Driven Analysis for Road Traffic Conditions Using Digital Tachograph DataSung-Bum Yun0SoonYong Park1Urban Strategy Research Division, Seoul Institute of Technology, Seoul 03909, Republic of KoreaUrban Strategy Research Division, Seoul Institute of Technology, Seoul 03909, Republic of KoreaTraffic condition analysis requires various conditions to be met using the conventional method. This has the limitation that it does not reflect the congestion caused by the actual vehicle flow. In this study, we suggest data-based traffic condition analysis. This is a method of determining the dynamic traffic conditions using Digital TachoGraph data, which can reflect the flow rate and the traveling speed of vehicles by the actual time zone. The suggested system could be implemented in both public and private sectors to create new possibilities and insights. For the public sector, police patrol vehicles can implement the system to create a ‘dynamic service area’ which would enhance efficiency for security patrols. For private sectors, the system could be applied to various call-dispatch systems to minimize waiting time for customers and driving distance for drivers. Also, it could be applied to upcoming autonomous vehicle sharing systems to ensure maximum coverage for autonomous cars.https://www.mdpi.com/2673-4591/36/1/49Digital TachoGraph (DTG)traffic analysisdata-driven analysis
spellingShingle Sung-Bum Yun
SoonYong Park
Data-Driven Analysis for Road Traffic Conditions Using Digital Tachograph Data
Engineering Proceedings
Digital TachoGraph (DTG)
traffic analysis
data-driven analysis
title Data-Driven Analysis for Road Traffic Conditions Using Digital Tachograph Data
title_full Data-Driven Analysis for Road Traffic Conditions Using Digital Tachograph Data
title_fullStr Data-Driven Analysis for Road Traffic Conditions Using Digital Tachograph Data
title_full_unstemmed Data-Driven Analysis for Road Traffic Conditions Using Digital Tachograph Data
title_short Data-Driven Analysis for Road Traffic Conditions Using Digital Tachograph Data
title_sort data driven analysis for road traffic conditions using digital tachograph data
topic Digital TachoGraph (DTG)
traffic analysis
data-driven analysis
url https://www.mdpi.com/2673-4591/36/1/49
work_keys_str_mv AT sungbumyun datadrivenanalysisforroadtrafficconditionsusingdigitaltachographdata
AT soonyongpark datadrivenanalysisforroadtrafficconditionsusingdigitaltachographdata