Estimation, Prediction and Optimisation for future multimodality

  • Supply-demand optimisation tools with emphasis on water/road interurban and last mile urban logistics.

  • Event-driven data fusion approach for proactive traffic management that integrates machine learning and traffic simulation to provide decision-making support capabilities relating to predicting traffic state in future time-window intervals that can be used by traffic network analysts.
  • Traffic estimation and prediction techniques using connected vehicle data (speed and position) as well as very few (strategically located) infrastructure spot detectors for flow observability to estimate the density, speed, flow for all mainstream links.