Improvement of algorithms to identify transportation modes for MobilitApp, an Android Application to anonymously track citizens in Barcelona

by   Gerard Marrugat Torregrosa, et al.

MobilitApp is an Android application whose objective is to obtain mobility data from the citizens of the metropolitan area of Barcelona. The current project is based on the research of more trustful and stronger transport decision algorithms using advantages of accelerometry techniques. The developed algorithm reads data from the mobile's accelerometer and gyroscope and writes it in a file that is afterwards sent to the server. This process is executed in background without interfering in the main application activity. Collected data has been processed and used to analyze the behaviour of the mobility pattern of the distinct transport modalities. The obtained result has been parameters which allow us to configure a model for each mean activity and designing a transport mode detection algorithm which would use information obtained from the mobile's own sensors. MobilitApp is still executing its main functionality, monitoring mobility data from the citizens. In future versions the solution proposed to detect the transport systems will be integrated into the application, in this way the app will work with information obtained from the device and will not depend on any other services.



There are no comments yet.


page 1

page 21

page 22

page 39


An Android App for Digital Transport Cards of Smart City: Request for Suggestions

This paper provides a roadmap for designing the Global Digital Transport...

What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing

Mobility and transport, by their nature, involve crowds and require the ...

Custom Dual Transportation Mode Detection by Smartphone Devices Exploiting Sensor Diversity

Making applications aware of the mobility experienced by the user can op...

Multimodal urban mobility and multilayer transport networks

Transportation networks, from bicycle paths to buses and railways, are t...

Passive Wi-Fi Monitoring in Public Transport: A case study in the Madeira Island

Transportation has become of evermore importance in the last years, affe...

Impact on Mobility and Environmental data of COVID-19 Lockdown on Florence Area

According to the changed operative conditions due to lockdown and succes...

The Devil Is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection

Transport mode detection is a classification problem aiming to design an...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.