Unmanned Aerial Vehicle-based Traffic Analysis: A Case Study to Analyze Traffic Streams at Urban Roundabouts

Khan, Muhammad Arsalan; Ectors, Wim; Bellemans, Tom; Ruichek, Yassine; Yasar, Ansar-Ul-Haque; Janssens, Davy; Wets, Geert

doi:10.1016/j.procs.2018.04.114

Cited by 34 publications

(6 citation statements)

References 16 publications

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“…Validation was also done using the ground truth data and it was mentioned that mean error was in the range of 7.5%. Khan et al (2018b) further extended their traffic analysis work to study traffic behaviour for a roundabout. Their performance evaluation methodology includes the estimation of OD matrices for each leg of the roundabout and then using this as input to analyse gap acceptance behaviour of drivers.…”

Section: Traffic Monitoring and Managementmentioning

confidence: 99%

Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges

Outay

Mengash

Adnan

2020

Transportation Research Part A: Policy and Practice

269

109

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For next-generation smart cities, small UAVs (also known as drones) are vital to incorporate in airspace for advancing the transportation systems. This paper presents a review of recent developments in relation to the application of UAVs in three major domains of transportation, namely; road safety, traffic monitoring and highway infrastructure management. Advances in computer vision algorithms to extract key features from UAV acquired videos and images are discussed along with the discussion on improvements made in traffic flow analysis methods, risk assessment and assistance in accident investigation and damage assessments for bridges and pavements. Additionally, barriers associated with the wide-scale deployment of UAVs technology are identified and countermeasures to overcome these barriers are discussed, along with their implications.

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Section: Traffic Monitoring and Managementmentioning

confidence: 99%

Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges

Outay

Mengash

Adnan

2020

Transportation Research Part A: Policy and Practice

269

109

View full text Add to dashboard Cite

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“…The framework contains five components: preprocessing, stabilization, geo-registration, vehicle detection and tracking, and trajectory management. Based on this framework, Khan et al conducted a series of traffic analyses such as analyzing traffic flow at urban roundabouts ( 19 ) and at signalized intersections ( 20 ). The analysis of roundabout performance focused on the determination of entering and conflicting traffic volume via origin–destination (OD) matrices for each leg, and the analysis of drivers’ gap-acceptance behavior.…”

Section: Review Of Past Studiesmentioning

confidence: 99%

Capitalizing on Drone Videos to Calibrate Simulation Models for Signalized Intersections and Roundabouts

Samandar

Chun

Yang

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Simulation is an indispensable tool for the assessment of highway-related capital investments and operational changes. Model calibration, a challenging task in any simulation study, is a crucial step. The model’s robustness, accuracy, and quality are directly dependent on it. Many parameters exist, and field observations are often lacking to aid in their correct specification. Recently, videos from drones have created a uniquely powerful way to aid this process. Observations of the inputs (demand), outputs (vehicles processed), processing rates (e.g., saturation flow rates), and performance results (times in system, queue dynamics, and delays) are all available simultaneously. For signalized intersections, only the signal timing events are missing, and those data can be obtained from signal timing logs. This paper illustrates how modeling teams can use drone data to calibrate model parameters pertaining to intersection operation. It shows how saturation flow rates can be adjusted for signalized intersections so that queue dynamics and delays can be matched. For roundabouts, it illustrates how critical gaps and move-up times can be adjusted to match field observations of performance. Three real-world settings with associated drone data are used as case study examples.

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“…There is great potential in UAVs for assisting drivers in a variety of traffic-related applications, including safety, incident detection, and vehicle tracking [11]. Some problems that can be solved with UAVs in the future are: traffic congestion [29,30], collision avoidance [31], safety analysis [32], and roundabout flow analysis [33]. The driver assistance can be provided via UAV-to-car communication [34].…”

Section: Introductionmentioning

confidence: 99%

Urban Traffic Monitoring and Analysis Using Unmanned Aerial Vehicles (UAVs): A Systematic Literature Review

Butilă

Boboc

2022

Remote Sensing

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Unmanned aerial vehicles (UAVs) are gaining considerable interest in transportation engineering in order to monitor and analyze traffic. This systematic review surveys the scientific contributions in the application of UAVs for civil engineering, especially those related to traffic monitoring. Following the PRISMA framework, 34 papers were identified in five scientific databases. First, this paper introduces previous works in this field. In addition, the selected papers were analyzed, and some conclusions were drawn to complement the findings. It can be stated that this is still a field in its infancy and that progress in advanced image processing techniques and technologies used in the construction of UAVs will lead to an explosion in the number of applications, which will result in increased benefits for society, reducing unpleasant situations, such as congestion and collisions in major urban centers of the world.

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Unmanned Aerial Vehicle-based Traffic Analysis: A Case Study to Analyze Traffic Streams at Urban Roundabouts

Cited by 34 publications

References 16 publications

Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges

Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges

Capitalizing on Drone Videos to Calibrate Simulation Models for Signalized Intersections and Roundabouts

Urban Traffic Monitoring and Analysis Using Unmanned Aerial Vehicles (UAVs): A Systematic Literature Review

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