A gamified virtual reality application for the rehabilitation of patients with chronic disabilities
February 22, 2023
Biofertilisers with biopesticide properties and biostimulants based on wastewater sludge from the production of biogas
March 14, 202323/02/2023
MobilitApp is an application capable of predicting the mode of transport used by citizens through a tool based on deep learning from three mobile phone sensors.
MobilitApp includes algorithms that enable data to be gathered from multimodal journeys (changes in transport modes) with total privacy. This will help to easily analyse flows and habits of citizens’ movements to determine users’ origins and destinations and where and when changes in transport modes occur. The aim is to offer a better public transport service and at the same time boost more sustainable mobility.
The application was designed for the city of Barcelona in collaboration with the Metropolitan Transport Authority (ATM). Since February 2023, it has started to be integrated into the code of the application MOU-TE of the ATM. In September, pilot tests are planned in collaboration with UPC Sustainable, to analyse the mobility habits and the pollution footprint of voluntary students from all of the UPC.
MobilitApp uses three sensors: the accelerometer, the magnetometer and the gyroscope. In addition, it reads a sample GPS at the start and end of each journey, and in each change in mode of transport that is detected. The mode of transport that is used is predicted with an accuracy of 98% through a deep learning model, trained with a sufficiently large, representative database. This database includes unimodal journeys labelled by volunteers on journeys, using 12 modes of transport: metro, bus, tram, train, electric bicycle, electric scooter, running, walking, motorbike, car and even resting.
MobilitApp will help to study the combinations between transport means (e-scooter + bus, bicing [bike share] + metro, etc). The analysis of the flow of mobility can be broken down by variables such as gender, age range, time bands, day of the week and zones of the map, among others.
MobilitApp, which is available on Android and soon also on iOS, has been developed by the research group Smart Services for Information Systems and Communication Network (SISCOM) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), in collaboration with ATM. It is funded by MOBILYTICS (Anonymization technology for AI-based analytics of mobility data, TED2021-129782B-I00, strategic projects on the ecological transition and the digital transition); and COMPROMISE (Enhancing communication protocols with machine learning while protecting sensitive data, PID2020-113795RB-C31/AEI/10.13039/501100011033), which are both Ministry of Science and Innovation projects.
Topic
You want to know more?
Related Projects
- A research team from the Institut de Robòtica i Informàtica Industrial (IRI, CSIC-UPC), together with the Centre de Disseny d'Equips Industrials (CDEI) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), are participating in the national CASANDRA project to develop a digital manufacturing solution that will make it possible to establish a bidirectional data flow for continuous digital integration throughout the supply chain across the product life cycle. This integration will be achieved through digital twins and data-based models that are continuously updated thanks to distributed monitoring and control tools.
- The research groups Structural and Materials Technology (ATEM) and the Construction Engineering (EC) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) are working on the RE-STEEL project, which aims to develop an efficient methodology for assessing the rehabilitation of existing steel structures.
- Researchers at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) have developed a unique infrastructure serving the UPC, research centres and companies for the experimentation and validation of technologies and services using next-generation networks. This platform enables the validation of 5G solutions in real-world scenarios and leads research towards 6G, facilitating technology transfer to the market.
- The AgroTech research group at UPC, in collaboration with its spin-off Ugiat Technologies, has developed uPlayer, a new multimedia player concept that enables more intuitive video navigation and viewing, intelligently enhancing the user experience, especially on YouTube and other platforms, by integrating as a plugin or advanced player.
