CREEM2023

CREEM 2023 - XXIX Congresso Nacional de Estudantes de Engenharia Mecânica

REVISÃO SISTEMÁTICA SOBRE A UTILIZAÇÃO DE DADOS DA TELEMÁTICA EM PESQUISAS NA ENGENHARIA MECÂNICA

Submission Author: Fabio Ribeiro von Glehn , GO
Co-Authors: Fabio Ribeiro von Glehn, João Paulo Fonseca, Marlipe Garcia Fagundes Neto
Presenter: Fabio Ribeiro von Glehn

doi://10.26678/ABCM.CREEM2023.CRE2023-0052

 

Abstract

This work aimed to search for articles that could help solve fuel consumption and pollutant emissions problems in highway trucks through the analysis of data obtained by vehicle telematics. The search was conducted on Scopus and Web of Science (WoS) databases, using the intersection of four major sets: trucks, fuel economy, telematics, and machine learning. The results were analyzed by bibliometric programs to select thirty relevant articles. Telematics and the analysis of its data can provide solutions to maintenance, fuel economy, and driving assistance problems.

Keywords

Truck, Telematic, Machine leaning, Fuel save, maintenance

 

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