DC7. Data fusion of traffic, behaviour & infrastructure for holistic driver assistance



  • To exploit multi-parametric data for the creation of a holistic AI framework for road safety-related driver evaluations
  • To define appropriate traffic, behaviour and infrastructure parameters or other KPIs to be collected and used in the models
  • To create new AI algorithms harmonising the selected parameters to comparable datasets
  • To integrate the developed AI algorithms to telematics-based applications focusing on driver assistance and support

Expected results:

  • New knowledge on integration and harmonisation of traffic, behaviour and infrastructure big data parameters
  • A functional AI framework incorporating these elements based on driver telematics with transferability evaluations, that will lead to the development of new and seamless road safety solutions
  • A case-study utilising driver telematics in an urban area, with actionable results, compatible with the vision and activities of OSeven.
  • The related framework can be used to develop an app providing personalised recommendations to drivers based on their trip/route habits

Planned secondment(s):

  • RHDHV-NL, Purpose: to test the created holistic algorithm in real conditions and new networks and explore connectivity with existing Dutch Talking Traffic ITS-chain systems