Design and implementation of an Android application (MobilitApp+) to analyze the mobility patterns of citizens in the Metropolitan Region of Barcelona

TL;DR

This paper presents MobilitApp+, an Android application designed to collect and analyze citizens' mobility data in Barcelona to inform transportation infrastructure improvements.

Contribution

The paper introduces a fully functional Android app that collects mobility and activity data, with plans to enhance it using machine learning techniques.

Findings

App is fully functional and stable

Data collection enables mobility pattern analysis

Potential for improved activity recognition with machine learning

Abstract

In our project we have designed an Android application to obtain mobility data of the citizens in the metropolitan area of Barcelona. Our implementation synchronously obtains in background on the one hand, periodic location updates and, on the other hand, the type of activity citizens are doing. At the end of the day, all this data is processed and sent to a server where are stored to obtain mobility patterns from citizens that could help to improve the current transportation infrastructure. MobilitApp is fully functional and stable although the results can be improved in some situations. In future releases we will implement machine learning technics to obtain significant improvements, especially in the activity recognition modules.