Estimating Inefficiency in Bus Trip Choices From a User Perspective With Schedule, Positioning, and Ticketing Data

Enriquecendo Modelos de Mobilidade Urbana com Padrões Espaço-Temporais e Estratos Socioeconômicos

“…Os autores caracterizaram vários padrões do sistema como um todo, como a reutilização dê onibus em diferentes linhas, capacidade dosônibus e número de viagens diárias. Já Braz et al [Braz et al 2018] utilizam as informações das bases do transporte público da cidade de Curitiba para estimar a ineficiência nos tempos de viagem realizadas pelo sistema.…”

Big data processing and analysis on the impact of COVID-19 on public transport delay

“…Nowadays GTFS has been used as an industry standard for a majority of transit agencies to publish their transit data around the world [ 6 ]. As GTFS data contains both scheduled and real-time information about transit operations, it has been actively used for many research problems such as transit accessibility [ [7] , [8] , [9] , [10] , [11] ], transit network analysis [ 12 , 13 ], performance evaluation [ 14 , 15 ], delay prediction [ [16] , [17] , [18] ], and transit trip inference [ 19 , 20 ].…”

An Integrated Big and Fast Data Analytics Platform for Smart Urban Transportation Management

“…First of all, the different data sources to combine in order to perform the analysis were designed and currently operate with diverse purposes, and they usually have no explicit reference to each other [11]. In addition, there are numerous devices asynchronously generating data for the system, which increases the likelihood of measurement errors [43]. Such challenges are tougher when a city-wide analysis is performed, as opposed to a limited (single/few-route) analysis, as in some cases [46].…”