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Detecçao de Anomalias Frequentes no Transporte Rodoviario Urbano

Abstract : The growth of urban population and, consequently, the number of vehicles causes the increase of traffic jams and emission of polluting gases. In this context, we observe the intensification of papers that aim to identify bottle- necks and their causes. These papers propose methodologies that use trajectory data model and aim to explain systemic behaviors. This article proposes the identification and classification of anomalies in the urban road transport system from space-time aggregations to permanent objects. The methodology consists of pre-processing of data, identification of anomalies, identification, and clas- sification of frequent patterns. Through it, we can identify the systemic and specific behaviors on the urban transit of Rio de Janeiro.
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Submitted on : Wednesday, September 5, 2018 - 3:56:55 PM
Last modification on : Friday, August 5, 2022 - 3:03:28 PM
Long-term archiving on: : Thursday, December 6, 2018 - 4:28:25 PM


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  • HAL Id : lirmm-01868597, version 1



Ana Beatriz Cruz, João Ferreira, Diego Carvalho, Eduardo Mendes, Esther Pacitti, et al.. Detecçao de Anomalias Frequentes no Transporte Rodoviario Urbano. SBBD: Simpósio Brasileiro de Banco de Dados, SBC, Aug 2018, Rio de Janeiro, Brazil. pp.271-276. ⟨lirmm-01868597⟩



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