Utilizing UAVs Technology on Microscopic Traffic Naturalistic Data Acquirement
Research into collecting and measuring reliable, accurate, and naturalistic microscopic traffic data is a fundamental aspect in road network planning scientific literature. The vehicle trajectory is one of the main variables in traffic flow theory that allows to extract information regarding microsc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
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| Series: | Infrastructures |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2412-3811/6/6/89 |
| _version_ | 1797529879912120320 |
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| author | Apostolos Anagnostopoulos Fotini Kehagia |
| author_facet | Apostolos Anagnostopoulos Fotini Kehagia |
| author_sort | Apostolos Anagnostopoulos |
| collection | DOAJ |
| description | Research into collecting and measuring reliable, accurate, and naturalistic microscopic traffic data is a fundamental aspect in road network planning scientific literature. The vehicle trajectory is one of the main variables in traffic flow theory that allows to extract information regarding microscopic traffic flow characteristics. Several methods and techniques have been applied regarding the acquisition of vehicle trajectory. The forthcoming applications of intelligent transport systems on vehicles and infrastructure require sufficient and innovative tools to calibrate existing models on more complex situations. Unmanned aerial vehicles (UAVs) are one of the most emerging technologies being used recently in the transportation field to monitor and analyze the traffic flow. The aim of this paper is to examine the use of UAVs as a tool for microscopic traffic data collection and analysis. A comprehensive guiding framework for accurate and cost-effective naturalistic traffic surveys and analysis using UAVs is proposed and presented in detail. Field experiments of acquiring vehicle trajectories on two multilane roundabouts were carried out following the proposed framework. Results of the experiment indicate the usefulness of the UAVs technology on various traffic analysis studies. The results of this study provide a practical guide regarding vehicle trajectory acquirement using UAVs. |
| first_indexed | 2024-03-10T10:20:10Z |
| format | Article |
| id | doaj.art-18b50c67393a41cfa442c7741548eecc |
| institution | Directory Open Access Journal |
| issn | 2412-3811 |
| language | English |
| last_indexed | 2024-03-10T10:20:10Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj.art-18b50c67393a41cfa442c7741548eecc2023-11-22T00:25:49ZengMDPI AGInfrastructures2412-38112021-06-01668910.3390/infrastructures6060089Utilizing UAVs Technology on Microscopic Traffic Naturalistic Data AcquirementApostolos Anagnostopoulos0Fotini Kehagia1Highway Laboratory, Division of Transportation and Construction Management, School of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceHighway Laboratory, Division of Transportation and Construction Management, School of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceResearch into collecting and measuring reliable, accurate, and naturalistic microscopic traffic data is a fundamental aspect in road network planning scientific literature. The vehicle trajectory is one of the main variables in traffic flow theory that allows to extract information regarding microscopic traffic flow characteristics. Several methods and techniques have been applied regarding the acquisition of vehicle trajectory. The forthcoming applications of intelligent transport systems on vehicles and infrastructure require sufficient and innovative tools to calibrate existing models on more complex situations. Unmanned aerial vehicles (UAVs) are one of the most emerging technologies being used recently in the transportation field to monitor and analyze the traffic flow. The aim of this paper is to examine the use of UAVs as a tool for microscopic traffic data collection and analysis. A comprehensive guiding framework for accurate and cost-effective naturalistic traffic surveys and analysis using UAVs is proposed and presented in detail. Field experiments of acquiring vehicle trajectories on two multilane roundabouts were carried out following the proposed framework. Results of the experiment indicate the usefulness of the UAVs technology on various traffic analysis studies. The results of this study provide a practical guide regarding vehicle trajectory acquirement using UAVs.https://www.mdpi.com/2412-3811/6/6/89UAVsnaturalistic vehicle trajectoriesmicroscopic traffic datatraffic data collectionguiding framework |
| spellingShingle | Apostolos Anagnostopoulos Fotini Kehagia Utilizing UAVs Technology on Microscopic Traffic Naturalistic Data Acquirement Infrastructures UAVs naturalistic vehicle trajectories microscopic traffic data traffic data collection guiding framework |
| title | Utilizing UAVs Technology on Microscopic Traffic Naturalistic Data Acquirement |
| title_full | Utilizing UAVs Technology on Microscopic Traffic Naturalistic Data Acquirement |
| title_fullStr | Utilizing UAVs Technology on Microscopic Traffic Naturalistic Data Acquirement |
| title_full_unstemmed | Utilizing UAVs Technology on Microscopic Traffic Naturalistic Data Acquirement |
| title_short | Utilizing UAVs Technology on Microscopic Traffic Naturalistic Data Acquirement |
| title_sort | utilizing uavs technology on microscopic traffic naturalistic data acquirement |
| topic | UAVs naturalistic vehicle trajectories microscopic traffic data traffic data collection guiding framework |
| url | https://www.mdpi.com/2412-3811/6/6/89 |
| work_keys_str_mv | AT apostolosanagnostopoulos utilizinguavstechnologyonmicroscopictrafficnaturalisticdataacquirement AT fotinikehagia utilizinguavstechnologyonmicroscopictrafficnaturalisticdataacquirement |