Unmanned Aerial Vehicles for Air Pollution Monitoring: A Survey

Hossein Motlagh, Naser; Kortoçi, Pranvera; Su, Xiang; Lovén, Lauri; Hoel, Hans Kristian; Bjerkestrand Haugsvær, Sindre; Srivastava, Varun; Gulbrandsen, Casper Fabian; Nurmi, Petteri; Tarkoma, Sasu

doi:10.1109/jiot.2023.3290508

Cited by 16 publications

(2 citation statements)

References 171 publications

(228 reference statements)

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“…Lastly, the autonomous drone-assisted traffic monitoring approach described in [39] uses simple heuristic algorithms and drone-to-vehicle communications. This method is particularly useful for urban traffic surveillance, analyzing traffic congestion, and improving response times.…”

Section: Discussionmentioning

confidence: 99%

Adaptive Truck Platooning with Drones: A Decentralized Approach for Highway Monitoring

de Curtò,

de Zarzà,

Cano

et al. 2023

Electronics

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The increasing demand for efficient and safe transportation systems has led to the development of autonomous vehicles and vehicle platooning. Truck platooning, in particular, offers numerous benefits, such as reduced fuel consumption, enhanced traffic flow, and increased safety. In this paper, we present a drone-based decentralized framework for truck platooning in highway monitoring scenarios. Our approach employs multiple drones, which communicate with the trucks and make real-time decisions on whether to form a platoon or not, leveraging Model Predictive Control (MPC) and Unscented Kalman Filter (UKF) for drone formation control. The proposed framework integrates a simple truck model in the existing drone-based simulation, addressing the truck dynamics and constraints for practical applicability. Simulation results demonstrate the effectiveness of our approach in maintaining the desired platoon formations while ensuring collision avoidance and adhering to the vehicle constraints. This innovative drone-based truck platooning system has the potential to significantly improve highway monitoring efficiency, traffic management, and safety. Our drone-based truck platooning system is primarily designed for implementation in highway monitoring and management scenarios, where its enhanced communication and real-time decision-making capabilities can significantly contribute to traffic efficiency and safety. Future work may focus on field trials to validate the system in real-world conditions and further refine the algorithms based on practical feedback and evolving vehicular technologies.

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Section: Discussionmentioning

confidence: 99%

Adaptive Truck Platooning with Drones: A Decentralized Approach for Highway Monitoring

de Curtò,

de Zarzà,

Cano

et al. 2023

Electronics

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show abstract

“…Methods for the vertical measurement of air pollutants include unmanned aerial vehicles (UAV), remote sensing, aircraft, balloons, buildings, and towers [7][8][9][10][11][12]. Among these, UAVs have the advantages of moderate costs and high spatial flexibility [7], making it a suitable method for environmental monitoring.…”

Section: Introductionmentioning

confidence: 99%

Vertical Profiles of PM2.5 and O3 Measured Using an Unmanned Aerial Vehicle (UAV) and Their Relationships with Synoptic- and Local-Scale Air Movements

Hwang,

Lee,

Shin

et al. 2024

Remote Sensing

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The vertical air pollutant concentrations and their relationships with synoptic- and local-scale air movement have been studied. This study measured the vertical profiles of PM2.5 and O3 using an unmanned aerial vehicle during summer in South Korea and analyzed the characteristics of the measured profiles. To understand the impact of synoptic air movements, we generated and categorized the 48 h air trajectories based on HYSPLIT, and we analyzed how the vertical profiles varied under different categories of long-range transport. We found that the vertical PM2.5 concentration has a positive gradient with altitude when more polluted air was transported from China or North Korea and has negative gradient when cleaner air was transported from the East Sea. Unlike PM2.5, the O3 concentration did not depend significantly on the long-range transport scenario because of the short photochemical lifetime of O3 during summer. For local-scale air movements, we found no significant impact of local wind on the measured profiles.

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Blockchain and IoT integration for secure short-term and long-term air quality monitoring system using optimized neural network

Chinnappan,

Hakim,

Kumar

et al. 2024

Environ Sci Pollut Res

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Unmanned Aerial Vehicles for Air Pollution Monitoring: A Survey

Cited by 16 publications

References 171 publications

Adaptive Truck Platooning with Drones: A Decentralized Approach for Highway Monitoring

Adaptive Truck Platooning with Drones: A Decentralized Approach for Highway Monitoring

Vertical Profiles of PM2.5 and O3 Measured Using an Unmanned Aerial Vehicle (UAV) and Their Relationships with Synoptic- and Local-Scale Air Movements

Blockchain and IoT integration for secure short-term and long-term air quality monitoring system using optimized neural network

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