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Transport and mobility

  • MobilitApp: Deep learning to predict the transport mode used by citizens and protect their data securely

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    MobilitApp
    MobilitApp: Deep learning to predict the transport mode used by citizens and protect their data securely
    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.
  • Deep learning and multimodal data fusion so that autonomous cars can see through fog

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    Deep learning and multimodal data fusion so that autonomous cars can see through fog
    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.
  • ANEM: Models and techniques of data anonymisation with applications in the mobility sector

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    ANEM: Models and techniques of data anonymisation with applications in the mobility sector
    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.
  • Deep learning to predict the occupation of passengers in public transport by road

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    Deep learning to predict the occupation of passengers in public transport by road
    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.
  • MultiDEPART: A project to facilitate the deployment of transport services on demand

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    MultiDEPART
    MultiDEPART: A project to facilitate the deployment of transport services on demand
    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

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    RideSafeUM
    RideSafeUM: A project to improve safety and encourage the use of micromobility
    RideSafeUM: A project to improve safety and encourage the use of micromobility
  • Predictive eBoost’s project aims to improve the performance of electric vehicles’ powertrain and batteries

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    Predictive eBoost’s project aims to improve the performance of electric vehicles’ powertrain and batteries
    The inLab FIB of the Universitat Politècnica de Catalunya (UPC) collaborates with SEAT and the Volkswagen Group Innovation in the Predictive eBoost project.
  • ARIADNA draws to a close: a European project to promote the use of GALILEO satellite technology applied to urban mobility

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    ARIADNA draws to a close: a European project to promote the use of GALILEO satellite technology applied to urban mobility
    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.
  • A study analyses the application of the new “Mobility as a Service” paradigm in Catalonia

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    A study analyses the application of the new “Mobility as a Service” paradigm in Catalonia
  • A SEAT-UPC Chair designs electric charging stations for urban micromobility

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    A SEAT-UPC Chair designs electric charging stations for urban micromobility
  • Development of a redundant road safety system for autonomous vehicles

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    Development of a redundant road safety system for autonomous vehicles
    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 […]
  • Modelling of mobility in Barcelona Metropolitan Region to assess the urban master plan

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    Modelling of mobility in Barcelona Metropolitan Region to assess the urban master plan
  • A new generation of batteries to move towards greener mobility

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    A new generation of batteries to move towards greener mobility
    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 […]
  • A study examines recharging electrical vehicles on motorways using overhead lines

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    A study examines recharging electrical vehicles on motorways using overhead lines
  • SYN-AIR: Datasharing in multimodal D2D (door to door) services for transport service providers

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    SYN-AIR: Datasharing in multimodal D2D (door to door) services for transport service providers
  • Co-Aps: to manage passenger density on public transport during the pandemic

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    Co-Aps: to manage passenger density on public transport during the pandemic
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