Título: DETECTING CAR ACCIDENTS BASED ON TRAFFIC FLOW MEASUREMENTS USING MACHINE LEARNING TECHNIQUES
Autores: Tavares, L. D.; Vieira, D. A. G.; Saldanha, R. R.; Caminhas, W. M.
Resumo: This paper deals with the problem of detecting the occurrence of a car accident in an urban environment. For this purpose, machine learning techniques are trained with the traffic flow measurements considering both the normal and the situation in which the accident caused a partial closure of the lanes. Several machine learning techniques results are presented to several car breaking scenarios.
Palavras-chave: Computational Intelligence; Cellular Automata; Traffic Jams Detection; Car accident simulation; Machine Learning
Código DOI: 10.21528/CBRN2009-162
Artigo em PDF: 162_CBRN2009.pdf
Arquivo BibTex: 162_CBRN2009.bib