- MobilitApp is an application capable of predicting the mode of transport used by citizens using a deep learning tool based on three mobile phone sensors.
- Autonomous vehicles are a reality that we are getting closer to gradually but inevitably. The Centre for Sensors, Instruments and Systems Development (CD6) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) has developed technologies for this type of vehicles that improve safety on journeys. To meet the needs of perceiving the environment at long range, a very complete set of sensors has to be developed, including cameras, LIDAR (Light Detection and Ranging) and radar.
- The aim of ANEM, in which SISCOM of the UPC participates, has been to develop, using latest generation models and techniques, a modular platform that can generate synthetic data (that is, not real data but data that can be used to train the artificial intelligence), protected from potential threats in the area of cybersecurity.
- The mobility of the future must be more intelligent, sustainable and connected. In this context, the project ‘Solutions for smart mobility’, with the participation of the Laboratory of the Barcelona School of Informatics (inLab FIB) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), has developed a predictive model for the occupation of passengers in public transport buses based on deep learning methods.
- Researchers from Barcelona Innovative Transportation (BIT) and from inLab FIB of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) have worked on MultiDEPART. In the framework of this project, three key tools have been developed for the planning and management of urban mobility, which will help public transport authorities and their operators to adopt and scale transport services on demand (Demand Responsive Transit, DRT) in their areas.
- RideSafeUM: A project to improve safety and encourage the use of micromobility
- The inLab FIB of the Universitat Politècnica de Catalunya (UPC) collaborates with SEAT and the Volkswagen Group Innovation in the Predictive eBoost project.
- The ARIADNA project ended formally with an event held on 18 November at the Tomorrow Mobility Congress, organised as part of the Smart City Expo World Congress.
- 26/10/2021Project Headerrightno-repeat;left top;;auto20px The Advanced Centre of Mechanical Technologies (CATMech) and the research group CS2AC of the UPC have participated in the SMARTMOVE project, which is […]
- 30/09/2021Project Headerrightno-repeat;left top;;auto20px The UPC Power Electronics Research Centre (PERC UPC) is participating in the international project High-pErformance moduLar battery packs for sustaInable urban electrOmobility Services […]
