Prediction methods

Technologies to anticipate the data’s evolution and to bring decision aid:

  • Medium-term forecasting
  • Short-term forecasting

Areas of application

  • Traffic flow medium-term forecasting on motorway networks
  • Level of punctuality forecasting in rail freight services
  • Forecasted travel time
Phoenix-ISI // INNOVATIONS

Valuating data

Technologies to explore data pools in order to anticipate and to improve the performances of the operational processes:

  • Qualification
  • Reconstitution
  • Fusion
  • Forecasting
  • Simulation
  • Equivalence

A structured innovation process

Areas of application

Innovations of Phoenix-ISI are implemented in different areas focused on Intelligent Transportation Systems and Mobility issues.

PREDICTIVE BUSINESS INTELLIGENCE

  • Design of innovative tools in decision aid
  • Medium and long-term forecasting to anticipate the evolution of a network (daily to monthly) and to organize planning
  • Short-term forecasting to anticipate the evolution of a network (hourly) within a real time monitoring

VALUATING DATA

  • Qualification of data:
    • to remedy the imperfections of data collection,
    • to eliminate data collection errors and inappropriate values.
  • Reconstitution of missing data: to fill data gaps (unmeasured or disqualified).
  • Equivalence method: to evaluate historical data in order to classify comparable situations.

OPTIMISATION OF OPERATIONAL PROCESSES

  • To introduce value in business processes
  • To optimise management and operational processes by:
    • Revenue estimates
    • Tollgate management
    • Users information

Our realisations on innovative projects