Banca de DEFESA: CEPHAS ALVES DA SILVEIRA BARRETO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : CEPHAS ALVES DA SILVEIRA BARRETO
DATA : 24/08/2018
HORA: 14:00
LOCAL: B109
TÍTULO:

Use of Machine Learning Techniques to Define Driver Profiles Based on Automotive Data

PALAVRAS-CHAVES:

Machine Learning Techniques, Driver Profile, Automotive Sensors.

PÁGINAS: 55
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
SUBÁREA: Sistemas de Computação
RESUMO:

Traffic has killed many citizens, and above all, it has caused great losses. The vast majority of traffic accidents are caused by drivers' recklessness (90%). In addition to recklessness, car defects (5%) and poor road conditions (5%) also contribute to the loss of lives and financial resources years after years. One of the alternatives to alleviate these problems is to understand how car drivers behave when they are behind the wheel. Recently, researchers have concentrated efforts to store and analyze data from drivers and automobiles to obtain or possible indication of different driver profiles. Thus, the main objective of this work is to use Machine Learning techniques on vehicle data obtained through OBD-II (On Board Diagnostics II) to identify possible profiles among car drivers.

MEMBROS DA BANCA:
Presidente - 4351681 - JOAO CARLOS XAVIER JUNIOR
Externo ao Programa - 1669545 - DANIEL SABINO AMORIM DE ARAUJO
Externo ao Programa - 2885532 - IVANOVITCH MEDEIROS DANTAS DA SILVA
Externo à Instituição - CARLOS NASCIMENTO SILLA JUNIOR - PUCPR