Drone-Based Decentralized Truck Platooning with UWB Sensing and Control

Truck platooning is a promising approach for reducing fuel consumption, improving road safety, and optimizing transport logistics. This paper presents a drone-based decentralized truck platooning system that leverages the advantages of Ultra-Wideband (UWB) technology for precise positioning, robust...

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Bibliographic Details
Published in:Mathematics (Basel) 2023-11, Vol.11 (22), p.4627
Main Authors: de Zarzà, I., de Curtò, J., Cano, Juan Carlos, Calafate, Carlos T.
Format: Article
Language:English
Subjects:
Algorithms
Autonomous vehicles
Communication
Comparative analysis
connected vehicles
Control algorithms
decentralized control
Driving conditions
Drone vehicles
Drones
Energy consumption
Energy efficiency
Fuel consumption
Intelligent transportation systems
Internet of Things
Logistics
Multiple objective analysis
Optimization
Optimization techniques
Platooning
Roads
Robust control
Sensors
Smart cities
Traffic safety
Travel time
Travelers
truck platooning
Trucks
Ultrawideband
Unmanned aerial vehicles
UWB
V2V communication
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Summary:Truck platooning is a promising approach for reducing fuel consumption, improving road safety, and optimizing transport logistics. This paper presents a drone-based decentralized truck platooning system that leverages the advantages of Ultra-Wideband (UWB) technology for precise positioning, robust communication, and real-time control. Our approach integrates UWB sensors on both trucks and drones, creating a scalable and resilient platooning system that can handle dynamic traffic conditions and varying road environments. The decentralized nature of the proposed system allows for increased flexibility and adaptability compared to traditional centralized platooning approaches. The core platooning algorithm employs multi-objective optimization, taking into account fuel efficiency, travel time, and safety. We propose a strategy for the formation and management of platoons based on UWB sensor data with an emphasis on maintaining optimal inter-vehicle secure distances and compatibility between trucks. Simulation results demonstrate the effectiveness of our approach in achieving efficient and stable platooning while addressing the challenges posed by real-world traffic scenarios. The proposed drone-based decentralized platooning system with UWB technology paves the way for the next generation of intelligent transportation systems that are more efficient, safer, and environment friendly.
ISSN:2227-7390
2227-7390
DOI:10.3390/math11224627