Urban Traffic Vulnerability Analysis using Ridesharing Application Data

• Antônio Augusto Faria Guimarães Melo Pertence Pontifical Catholic University of Minas Gerais https://orcid.org/0000-0002-2515-3324
• Raquel Aparecida Freitas Mini Pontifical Catholic University of Minas Gerais https://orcid.org/0000-0001-7575-7348
• Humberto Torres Marques-Neto Pontifical Catholic University of Minas Gerais https://orcid.org/0000-0002-3164-8323

DOI: https://doi.org/10.5753/courb.2020.12350

Abstract

Complex network theory has been used to model the urban traffic of road systems. The urban traffic can be modeled as a graph characterized by complex network metrics. According to the literature, if there is a problem of traffic congestion or disruption, an evaluation of the degree of vulnerability or resilience of the system in the search for solutions is made. An approach for evaluation the vulnerability of urban traffic is proposed through the complex network metrics generated from an open data set obtained by the Ridesharing application Uber, using targeted failures. As a differential, in relation to the literature, this approach uses the skewness to assess the vulnerability of urban traffic.

Keywords: Complex Networks, Ridesharing, Vulnerability

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