000145371 001__ 145371 000145371 005__ 20241024135331.0 000145371 0247_ $$2doi$$a10.3390/math11224627 000145371 0248_ $$2sideral$$a140126 000145371 037__ $$aART-2023-140126 000145371 041__ $$aeng 000145371 100__ $$0(orcid)0000-0002-5844-7871$$aZarzà, I. de 000145371 245__ $$aDrone-Based decentralized truck platooning with UWB sensing and control 000145371 260__ $$c2023 000145371 5060_ $$aAccess copy available to the general public$$fUnrestricted 000145371 5203_ $$aTruck platooning is a promising approach for reducing fuel consumption, improving road safety, and optimizing transport logistics. This paper presents a drone-based decentralized truck platooning system that leverages the advantages of Ultra-Wideband (UWB) technology for precise positioning, robust communication, and real-time control. Our approach integrates UWB sensors on both trucks and drones, creating a scalable and resilient platooning system that can handle dynamic traffic conditions and varying road environments. The decentralized nature of the proposed system allows for increased flexibility and adaptability compared to traditional centralized platooning approaches. The core platooning algorithm employs multi-objective optimization, taking into account fuel efficiency, travel time, and safety. We propose a strategy for the formation and management of platoons based on UWB sensor data with an emphasis on maintaining optimal inter-vehicle secure distances and compatibility between trucks. Simulation results demonstrate the effectiveness of our approach in achieving efficient and stable platooning while addressing the challenges posed by real-world traffic scenarios. The proposed drone-based decentralized platooning system with UWB technology paves the way for the next generation of intelligent transportation systems that are more efficient, safer, and environment friendly. 000145371 536__ $$9info:eu-repo/grantAgreement/ES/MCIN/AEI/PID2021-122580NB-I00 000145371 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000145371 590__ $$a2.3$$b2023 000145371 591__ $$aMATHEMATICS$$b21 / 489 = 0.043$$c2023$$dQ1$$eT1 000145371 592__ $$a0.475$$b2023 000145371 593__ $$aComputer Science (miscellaneous)$$c2023$$dQ2 000145371 593__ $$aMathematics (miscellaneous)$$c2023$$dQ2 000145371 593__ $$aEngineering (miscellaneous)$$c2023$$dQ2 000145371 594__ $$a4.0$$b2023 000145371 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000145371 700__ $$ade Curtò, J. 000145371 700__ $$aCano, Juan Carlos 000145371 700__ $$aCalafate, Carlos T. 000145371 773__ $$g11, 22 (2023), 4627 [22 pp.]$$pMathematics (Basel)$$tMathematics$$x2227-7390 000145371 8564_ $$s1453603$$uhttps://zaguan.unizar.es/record/145371/files/texto_completo.pdf$$yVersión publicada 000145371 8564_ $$s2477175$$uhttps://zaguan.unizar.es/record/145371/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000145371 909CO $$ooai:zaguan.unizar.es:145371$$particulos$$pdriver 000145371 951__ $$a2024-10-24-12:11:29 000145371 980__ $$aARTICLE