Urban spaces-aware services via federated learning in intelligent transport systems

• Grant number: 21/06210-3
• Support Opportunities: Regular Research Grants
• Start date: July 01, 2022
• End date: June 30, 2024
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Agreement: MCTI/MC
• Principal Investigator: Geraldo Pereira Rocha Filho
• Grantee: Geraldo Pereira Rocha Filho
• Host Institution: Universidade Estadual do Sudoeste da Bahia (UESB). Campus Vitória da Conquista. Vitória da Conquista , SP, Brazil
• Associated researchers: Alan Demétrius Baria Valejo ; Alessandro Ferreira Leite ; Leandro Aparecido Villas ; Li Weigang ; Pastor Willy Gonzales Taco ; Robson Eduardo de Grande ; Rodolfo Ipolito Meneguette

Abstract

Factors such as urban mobility prediction, monitoring of traffic dynamics in cities, limited resources involved, efficient extraction of heterogeneous information derived from urban spaces, and efficient communication infrastructure resources become crucial and play an essential role in Intelligent Transportation Systems (ITS). These factors are part of the challenges imposed for the evolution of urban spaces-aware services that ITS can provide. In this context, the Federated Learning (FL) paradigm has emerged as a new trend and strong computational capacity to solve such challenges. For this reason, the proposed project is based on the hypothesis that it is possible, through the data provided by the urban environment and the deep models of FL, to provide, characterize, and model urban spaces-aware services that an ITS can provide to its users. Therefore, this research project aims to investigate how factors extracted from the urban environment via FL influence the traffic management of large cities to propose new urban spaces-aware services to contribute to the ITS area. (AU)

Scientific publications

(9)

(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)

CAVALCANTE, IAGO C.; MENEGUETTE, RODOLFO, I; TORRES, RENATO H.; MANO, LEANDRO Y.; GONCALVES, VINICIUS P.; UEYAMA, JO; PESSIN, GUSTAVO; NZE, GEORGES D. AMVAME; ROCHA FILHO, GERALDO P.. Federated System for Transport Mode Detection. ENERGIES, v. 15, n. 23, p. 17-pg., 2022-12-01. (21/06210-3, 20/07162-0)

MOLINA, ANDRE L. B.; GONCALVES, VINICIUS P.; DE SOUSA JR, RAFAEL T.; PIVIDAL, MARCEL; MENEGUETTE, RODOLFO, I; ROCHA FILHO, GERALDO P.; MORAES, IM; CAMPISTA, MEM; GHAMRI-DOUDANE, Y; COSTA, LHMK; et al. A Lightweight Unsupervised Learning Architecture to Enhance User Behavior Anomaly Detection. 2022 IEEE LATIN-AMERICAN CONFERENCE ON COMMUNICATIONS (LATINCOM), v. N/A, p. 6-pg., 2022-01-01. (21/06210-3)

MONTEIRO, LUCAS B.; RIBEIRO, VITOR F.; GARCIA, CRISTIANO P.; ROCHA FILHO, GERALDO P.; LI, WEIGANG. 4D Trajectory Conflict Detection and Resolution Using Decision Tree Pruning Method. IEEE Latin America Transactions, v. 21, n. 2, p. 11-pg., 2023-02-01. (21/06210-3)

RIBEIRO, AGUIMAR, JR.; ROCHA FILHO, GERALDO P.; GUIDONI, DANIEL L.; DE GRANDE, ROBSON E.; SAMPAIO, SANDRA; MENEGUETTE, RODOLFO I.; IEEE. A Shapley Value-based Strategy for Resource Allocation in Vehicular Clouds. 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), v. N/A, p. 6-pg., 2022-01-01. (21/06210-3, 20/07162-0, 20/05126-6, 22/00660-0)

ROCHA FILHO, GERALDO P.; BRANDAO, ARTUR H.; NOBRE, RENATO A.; MENEGUETTE, RODOLFO, I; FREITAS, HEITOR; GONCALVES, VINICIUS P.. HOsT: Towards a Low-Cost Fog Solution via Smart Objects to Deal with the Heterogeneity of Data in a Residential Environment. SENSORS, v. 22, n. 16, p. 12-pg., 2022-08-01. (21/06210-3)

DE OLIVEIRA, JONATHAS A.; GONCALVES, VINICIUS P.; MENEGUETTE, RODOLFO I.; DE SOUSA JR, RAFAEL T.; GUIDONI, DANIEL L.; OLIVEIRA, JOSE C. M.; FILHO, GERALDO P. ROCHA. F-NIDS - A Network Intrusion Detection System based on federated learning. Computer Networks, v. 236, p. 14-pg., 2023-11-01. (21/06210-3, 20/05126-6)

BRENNAND, CELSO A. R. L.; MENEGUETTE, RODOLFO; FILHO, GERALDO P. ROCHA. FOXS-GSC-Fast Offset Xpath Service with HexagonS Communication. INFORMATICS-BASEL, v. 10, n. 3, p. 23-pg., 2023-09-01. (21/06210-3, 20/07162-0)

VALENTINI, EDIVALDO PASTORI; ROCHA FILHO, GERALDO PEREIRA; DE GRANDE, ROBSON EDUARDO; RANIERI, CAETANO MAZZONI; PEREIRA JUNIOR, LOURENCO ALVES; MENEGUETTE, RODOLFO IPOLITO. A Novel Mechanism for Misbehavior Detection in Vehicular Networks. IEEE ACCESS, v. 11, p. 14-pg., 2023-01-01. (21/06210-3, 13/07375-0, 20/07162-0, 21/10921-2)

RIBEIRO JR, AGUIMAR; DA COSTA, JOAHANNES B. D.; ROCHA FILHO, GERALDO P.; VILLAS, LEANDRO A.; GUIDONI, DANIEL L.; SAMPAIO, SANDRA; MENEGUETTE, RODOLFO I.. HARMONIC: Shapley values in market games for resource allocation in vehicular clouds. Ad Hoc Networks, v. 149, p. 14-pg., 2023-06-20. (21/06210-3, 20/05126-6, 22/00660-0, 18/16703-4)