LOGISTICS
WAREHOUSE MANAGEMENT
- Process optimization
- Smart warehouse management
- Supervision of smart processes
- Cooperative robots: exoskeletons, handling and assembly tasks in collaboration with humans
- Autonomous robots (co-workers)
- AGV, autonomous vehicles
- Learning and task prediction via artificial intelligence
- Drones in the supply chain
GOODS TRANSPORT
- Shortest path: route optimization
- Study and optimization of the logistics chain
- Dynamic models of transport and management (land, air and maritime)
- Sizing of the logistics chain
- Robot-human collaboration
MOBILITY
PASSENGERS
- Learning systems and qualitative decision making
- Technology trends
- Social trends
- Predictive user studies
- Human-machine interaction
- Social inclusion/digital gap
- Prediction of passenger demand
- User acceptance
- Security
CITY
- Multimodal mobility strategies
- Big data and smart systems
- Mobility as a Service (MaaS)
- Autonomous and connected mobility solutions
- Drones: flow monitoring
VEHICLE
SUSTAINABILITY
- Alternative propulsion systems
- Electric, wireless, hydrogen vehicle
- Energy efficiency, battery life cycle
- Robotics, artificial intelligence, sensor of interaction/optical recognition
- Circular economy (materials, etc.)
SECURITY
- Autonomous vehicle (security)
- Road safety and comfort
INFRASTRUCTURES
- Public transportation: Ticketing, New mobility services.
- Demand prediction
- Sustainable urban design and accessibility
- Dynamic models of transport and management (land, air and maritime)
- Simulation of urban data (land use, dwelling, urban mobility plans) and virtual reality
RELATED PROJECTS
- 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.
- The SCAPE project has been developed with the participation of the Power Electronics Research Group (GREP) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC). The aim is to advance towards design standardisation, cost reduction and an improvement in the features of electronic power conversion systems for the future generation of electric vehicles.
- The Motion Control and Industrial Applications (MCIA) centre, the Terrassa Industrial Electronics Group (TIEG) and the Environmental Engineering (ENMA) group of the UPC participate in RHODaS, a project to improve integrated motor propulsion systems for multiple drive architectures with more efficient materials, new semiconductors, better heat management and standardisation of manufacture of power convertors.
- The Centre for Technological Innovation in Static Converters and Drives (CITCEA) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) is participating in the COVHE project, whose aim is to develop an electrical drive system for heavy vehicles based on a hydrogen cell.
