Smart card automated fare collection systems are being used more and more by public
transit agencies. While their main purpose is to collect revenue, they also produce large …

Smart card data are increasingly used for transit network planning, passengers' behaviour
analysis and network demand forecasting. Public transport origin–destination (O–D) …

Actualmente asistimos a una verdadera revolución en la producción y el tratamiento de
datos masivos (Big Data). Aunque los principales usuarios de este tipo de datos son las …

Over the past few years, several techniques have been developed for using smart card fare
data to estimate origin–destination (OD) matrices for public transport. In the past, different …

Mobile phone operators produce enormous amounts of data. In this paper we present
applications performed with a dataset (communication events+ handover and Location Area …

Rebuilding the operation scheme of public transportation is a recent topic of discussion in
Japan because the number of passengers is decreasing especially in rural areas. This …

Resum El terme Big Data s' ha popularitzat en els últims anys i fa referència a la producció
de quantitats ingents de dades. L'activitat humana és captada a través de múltiples xarxes …

Mobile phone operators produce enormous amounts of data. In this paper we present
applications performed with a dataset (probe data) collected by the operator Orange in 2017 …

Smart card fare collection systems for public transit produce a huge quantity of data on a
daily basis. The ability to follow the use of a single card throughout the months gives the …

Public transport origin–destination (OD) estimation based on smartcard data has
increasingly been used for transit network planning, passengers' behaviour analyses and …