MobilitApp

PLEASE, CONTRIBUTE TO DEVELOP THE APP

We would like kindly to ask you to help us to develop our App. We need a lot of data to improve our algorithms to detect the transport mode of users in the city. We are not interested at all in tracking people. Your locations have anonymous identitifiers not linked to your identity. We aim to improve the public transportation system in Barcelona, not to track people's locations.

Here you can find the steps on how to use the App to contribute in data collection for its accuracy enhancement.

Many thanks!

MobilitApp Information

MobilitApp records synchronously and while running in the background, periodic location updates from its users. The information obtained is processed to analyze the mode of transportation used by the user. At the moment, we are able to recognise different transport modes: bicycle, bus, car, e-bicycle, e-scooter, metro, motorbike, run, stationary, train, tram and walk.

User's information is treated completely anonymously.

Privacy Information

Please, read this information about our treatment of the user' privacy. Your gathered data is totally anonymous, we do not track you, we use info anonymously: Privacy policy in MobilitApp

Real-Time Traffic State and Incidences

MobilitApp integrates real-time traffic state information provided by the Barcelona City Hall and the traffic incidence information provided by the Spanish Traffic Authority: Dirección General de Tráfico.

Transportation analytics for ATM, the transport authority of the metropolitan area of Barcelona

We provide tools to filter and analize citizens mobility patterns.
We work in collaboration with the Autoritat del Transport Metropolit� (ATM) of Barcelona.

Machine Learning and smartphone's sensors

To detect the transportation mean of the citizen, Machine Learning algorithms are used. MobilitApp gathers users' data from 3 basic smartphone's sensors: accelerometer, gyroscope and magnetometer.

No GPS needed to predict the transportation mode

GPS is a nice but consuming feature. Our goal is to save memory, battery power, and CPU performances as much as possible. The solution to develop MobilitApp is therefore not in GPS, but in the smartphones' sensors.