Air space 4D reservation control for intelligent transport

• Grant number: 21/06872-6
• Support Opportunities: Regular Research Grants
• Start date: April 01, 2022
• End date: March 31, 2024
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Agreement: MCTI/MC
• Principal Investigator: Cesar Augusto Cavalheiro Marcondes
• Grantee: Cesar Augusto Cavalheiro Marcondes
• Host Institution: Divisão de Ciência da Computação (IEC). Instituto Tecnológico de Aeronáutica (ITA). Ministério da Defesa (Brasil). São José dos Campos , SP, Brazil
• Associated researchers: Elton Felipe Sbruzzi ; Lourenço Alves Pereira Júnior ; Marcos Ricardo Omena de Albuquerque Maximo
• Associated scholarship(s): 23/02022-3 - 5G scalable virtual drone testbed development, BP.TT; 22/10438-2 - 5G Scalable Virtual Drone Testbed Development, BP.TT

Abstract

The use of unmanned aerial vehicles will be fundamental to change society, ensuring fast deliveries of important items such as defibrillators, in public safety, improving air transport modes, and reducing costs and improving speed in last-mile product delivery. Especially, in this time of pandemic and with serious logistical problems in public health, there is a stringent need for these drone systems to be better studied and realistic proofs of concept to be developed. Therefore, the objective of this research proposal is to build a virtual, scalable environment, with unique management characteristics, novel mechanisms of marketplace airspace reservations, immutability, and permanent supervision as a new way to approach drone airspace control. This proposal is strongly inspired by our previous research, where we theoretically modeled the problem of airspace reservations pricing, using 4D (3D plus time) allocations for better efficiency. Although the paper made use of agent simulation, our objective in this project is to realize implementable pieces that can be emulated in a large-scale realistic environment, about this allocation vision. Another differential of the proposal is to combine the airspace management platform for drones, with 5G technology and blockchain backdrop, making it even more feasible that innovations arising from this research are ready for the physical world. Finally, opening up space for more intense network use creates the possibility of the redesign of drone control protocols and even autopilot can be offloaded, allowing its evolution in the cloud. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

BERNARDO, GUILHERME T. T.; VOGAS, LUAN M. B.; RODRIGUES, SARGON D. S.; LOPES, THIAGO G. G.; MARCONDES, CESAR A. C.; LOUBACH, DENIS S.; SBRUZZI, ELTON F.; VERRI, FILIPE A. N.; MARQUES, JOHNNY C.; PEREIRA, LOURENCO A., JR.; et al. A-Star Based Algorithm Applied to Target Search and Rescue by a UAV Swarm. 2022 LATIN AMERICAN ROBOTICS SYMPOSIUM (LARS), 2022 BRAZILIAN SYMPOSIUM ON ROBOTICS (SBR), AND 2022 WORKSHOP ON ROBOTICS IN EDUCATION (WRE), v. N/A, p. 6-pg., 2022-01-01. (21/06872-6)

SILVEIRA, LEONARDO; RODRIGUES, MATEUS; FAICAL, BRUNO S.; QUIRINO DA SILVA, ALEXANDRE S.; MARCONDES, CESAR; MAXIMO, MARCOS R. O. A.; VERRI, FILIPE A. N.; HOMEM, TPD; BIANCHI, RAD; DASILVA, BMF; et al. Navigation Aids Based on Optical Flow and Convolutional Neural Network. 2022 LATIN AMERICAN ROBOTICS SYMPOSIUM (LARS), 2022 BRAZILIAN SYMPOSIUM ON ROBOTICS (SBR), AND 2022 WORKSHOP ON ROBOTICS IN EDUCATION (WRE), v. N/A, p. 6-pg., 2022-01-01. (21/06872-6)

DUTRA, FERNANDO; BONFIM, KENNISTON; SIQUEIRA, CARLOS; PEREIRA, LOURENCO A., JR.; SANTOS, ALDRI; MENEGUETTE, RODOLFO I.; IEEE. DISMISS-BSM: an Architecture for Detecting Position Spoofing in Basic Safety Messages. 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), v. N/A, p. 6-pg., 2022-01-01. (21/06872-6)