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Apostolos Anagnostopoulos
Highway Laboratory, Division of Transportation and Construction Management, School of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

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Journal article
Published: 16 June 2021 in Infrastructures
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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.

ACS Style

Apostolos Anagnostopoulos; Fotini Kehagia. Utilizing UAVs Technology on Microscopic Traffic Naturalistic Data Acquirement. Infrastructures 2021, 6, 89 .

AMA Style

Apostolos Anagnostopoulos, Fotini Kehagia. Utilizing UAVs Technology on Microscopic Traffic Naturalistic Data Acquirement. Infrastructures. 2021; 6 (6):89.

Chicago/Turabian Style

Apostolos Anagnostopoulos; Fotini Kehagia. 2021. "Utilizing UAVs Technology on Microscopic Traffic Naturalistic Data Acquirement." Infrastructures 6, no. 6: 89.

Conference paper
Published: 04 November 2020 in Advances in Intelligent Systems and Computing
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Unmanned aerial vehicles are one of the most emerging technologies being used recently in transportation field. The collection and analysis of high-resolution data such as vehicles’ trajectories are challenging concerning the analysis of driving behavior for use on optimal road design. At present, the expected speeds of vehicles on roundabouts are calculated based on fastest path analysis techniques that several guidelines provide. This paper presents the results of experimental research be conducted as a first step in developing a model for the prediction of vehicle paths on roundabouts. The research aims to define the basic path elements of vehicles maneuvers at multilane roundabouts on free-flow conditions. An analytical guiding framework regarding the use of UAVs for data acquisition in traffic analysis is presented. The proposed methodology follows a simple and low-cost way of extracting detailed naturalistic vehicle trajectories data through UAVs. Video image processing techniques and geographic information system methods are used and provide a useful tool for obtaining spatiotemporal phenomena at two multi-lane roundabouts. The level of accuracy of the method is evaluated by minimizing the errors due to camera instability and distortion effects. The results of the experiment highlight the usefulness of the proposed UAV and video processing technique for further driving behavior analysis. The analysis that was conducted indicates differences between observed vehicles trajectories and existing fastest paths procedures.

ACS Style

Apostolos Anagnostopoulos; Fotini Kehagia. Evaluating Fastest Path Procedures on Roundabouts by Extracting Vehicle Trajectories from Unmanned Aerial Vehicles. Advances in Intelligent Systems and Computing 2020, 1001 -1011.

AMA Style

Apostolos Anagnostopoulos, Fotini Kehagia. Evaluating Fastest Path Procedures on Roundabouts by Extracting Vehicle Trajectories from Unmanned Aerial Vehicles. Advances in Intelligent Systems and Computing. 2020; ():1001-1011.

Chicago/Turabian Style

Apostolos Anagnostopoulos; Fotini Kehagia. 2020. "Evaluating Fastest Path Procedures on Roundabouts by Extracting Vehicle Trajectories from Unmanned Aerial Vehicles." Advances in Intelligent Systems and Computing , no. : 1001-1011.

Conference paper
Published: 04 November 2020 in Advances in Intelligent Systems and Computing
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Running has been totally integrated into the daily life of many people around the world. Every year amateur runners participate in running competitions while they are training in urban public spaces. In this framework, a new transportation practice involves running trips for commuting purposes. Several studies highlight walking and running as activities of major importance for a healthy life and a livable city. Run-commuting is a new trend that uses running as a form of transportation. However, the spatial needs of run-commuting activity and the infrastructural necessities are fully unknown yet. The main objective of this study is to understand and critically evaluate running as a mode of transport. The paper commences with the role of running in active transportation. The benefits, risks, and characteristics of run-commuting trips are presented according to the literature review. In the second part of the paper, real trajectories of run-commuting trips are analyzed. Findings indicate the behavioral patterns and safety issues of these trips. The paper closes with a discussion of the conclusions, including recommendations for the design of running-friendly cities.

ACS Style

Apostolos Anagnostopoulos. The Rise of Run-Commuting as a Form of Transportation: Research on the Characteristics and Spatial Needs of These Trips. Advances in Intelligent Systems and Computing 2020, 684 -693.

AMA Style

Apostolos Anagnostopoulos. The Rise of Run-Commuting as a Form of Transportation: Research on the Characteristics and Spatial Needs of These Trips. Advances in Intelligent Systems and Computing. 2020; ():684-693.

Chicago/Turabian Style

Apostolos Anagnostopoulos. 2020. "The Rise of Run-Commuting as a Form of Transportation: Research on the Characteristics and Spatial Needs of These Trips." Advances in Intelligent Systems and Computing , no. : 684-693.