Data fusion and stream processing for dynamic traffic management

  • Data fusion and harmonisation methodologies supported by a big-data architecture for integrating multidisciplinary data sources with particular information from transport industries, sensors and services.
  • Common integration of information considering context-brokers like NGSI-LD in order to promote semantic interoperability and sensor integration in the transport layer.
  • Fuse information coming from transportation sensors and services, but also combine this information with other domains (environment, energy or even smart city services) that could derive in more information and knowledge to tackle operational and planning decisions.