Chove lá fora, alerta aqui dentro: Uma análise de Alertas de Problemas de Trânsito em Sensoriamentos Participativos
Abstract
The urban population has increased rapidly in recent years, and problems involving the quality of life of people in urban centers have also grown with it. In this sense, the evolution of Information and Communication Technologies (ICTs) allows crowdsensing-based services to be an essential tool to improve people’s quality of life by providing valuable data to public agents who manage such centers. This work proposes the analysis of a event (problems) dataset reported by users of a crowdsensing app in Vitória-ES, considering three questions: the duration of the reported events, monthly variation of events, and the correlation between rainfall in the city and events reported by users. Among other results, we observed that most of the studied events have an unclear clear seasonality pattern and could be influenced by climatic factors. We also observed positive (low and moderate) correlations between rainfall and events, especially when analyzing individual months. This result can open new ways of investigation for, for example, new services for forecasting traffic problems.
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