Informação para a participação no Seminário via Zoom:
https://videoconf-colibri.zoom.us/j/98650312699?pwd=OFJpM1hqOWpGNUlLTUJCZncrNnRyUT09
ID da reunião: 986 5031 2699
Senha de acesso: 831916
Orador Convidado:
Gonçalo Jacinto, Departamento de Matemática e CIMA, Universidade de Évora
Resumo:
Crash accidents is a major problems in modern societies because of the high number of victims and the high costs associated. The main objective in accident data analysis is to identifying the main factors associated with road traffic accidents. The MO-
PREVIS research project aims to contribute to identify those factors and to predict road traffic accidents. In this talk, we will cover all the steps involved in this research project, from database construction to the statistical modeling approach.
To identify the factors of the determinants for a road traffic accident with serious injuries and deaths, we compared the performance between the statistical approach, with a logistic regression model, and several machine learning algorithms. We do also make a recap of all the statistical analysis developed within the project.
Resumo (pdf):
Em anexo.