Monitoring of urban mobility patterns in metropolitan regions

  • Monitoring of urban mobility patterns in metropolitan regions

    The model was tested in Rio de Janeiro during the period when the Transoeste expressway was being created. The data shows a change in travel patterns among residents, who started to use the new route, from Barra da Tijuca to Madureira. (Before Transoeste was built, they probably used other routes, such as via the city’s south zone.) Accordingly, a way of tracking movements across cities based on cell phone data was developed. This kind of monitoring demonstrated its potential to improve analyses of mobility in Brazil. The matrix based on cell phone data usage permits analysis of two things: events and mobility. In the first case, it is possible to estimate the number of people at a location (at an event) and their origins. The second type of analysis is directly geared at transport engineering decisions. Cell phone data enables faster and more precise analysis of urban mobility, compared with traditional methods, such as interviews, which are expensive, time consuming, slow and hard to predict. From the study, we can conclude that the methodologies developed are innovative and they have the advantage of being easily replicated in various cities. They have the potential to become an important input for planning events and decisions related to traffic engineering.

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  • Moacyr Alvim Silva

    Holds a Master’s Degree and PhD in Mathematics from the National Institute of Pure and Applied Mathematics Association (Inpa). He is currently a professor at Fundação Getulio Vargas, working mainly in the following areas: discrete differential geometry, axis of symmetry, complex networks, game theory and agent-based models.

  • Alexandre Evsukof

    Graduated in Mechanical Engineering from UFRJ, holds a Master’s Degree in Mechanical Engineering from Coppe / UFRJ and PhD in Automation and Control at the Institut National Polytechnique de Grenoble, France. Professor of the Civil Engineering Program at Coppe/UFRJ, focusing on the development of computational intelligence techniques for modeling complex systems in data mining, text and web applications. In recent years, he has been active in R&D projects in collaboration with industry in the areas of oil, energy, environment and urban mobility.

  • Júlio César Chaves

    Holds a PhD and Master’s Degree from Coppe/UFRJ under the civil engineering program, focusing on urban mobility based on georeferenced data, such as data provided by mobile telephone operators, IBGE and the transportation sector. Graduated in Informatics from the Universidade da Cidade. His research seeks to enrich, from the comprehensive analysis of the data, the traditional methodologies of inference of mobility.

  • Pedro Schneider

    Graduated in Electrical Engineering from PUC-RJ. Holds a Master’s Degree in Mathematical Modeling of Information from FGV’s School of Applied Mathematics (FGV EMAp). He held the position of Research Assistant at FGV EMAp from 2016 to 2017.

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