RoadSense

RoadSense

Connected vehicles data for smart road pavement management

The RoadSense project aims to develop a next-generation IT platform, the ’Pavement Management System 2.0’ (PMS2.0), enabling the visualization of ’road conditions’ and ’dynamic management of road infrastructure works’ on a continuous basis using data from connected vehicles.

Domaine: Transport & logistics 

Factsheet:

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Objectives

The objective of CETIC is to participate in setting up a data lake to collect the necessary data for the proper functioning of the "PMS 2.0," as well as implementing the tools and mechanisms required to ensure perfect compatibility with the "European Data Spaces" to facilitate the exchange of mobility data at the European level. This is an initiative of the European Commission aimed at creating a single European data market, promoting secure and ethical access to data for use in the economy and society, while allowing providers to retain control over their data.

Results

This "Pavement Management System 2.0" will integrate the following capabilities:

  • Mapping of the "state" of the road network.
  • Prediction of the evolution of this road network state over time, enabling proactive planning of operations.
  • Prioritized list of maintenance operations, based on the current condition of the roadway, defined thresholds, and predictive analyses.
  • Annual investment planning for road maintenance, facilitating budget planning and resource management.
  • Compatibility with the "European Mobility Data Space" (EMDS): This will allow integration of the project’s results with future European mobility data and service ecosystems, and automated governance for rapid scaling of the product. This aspect will be strategic for the commercialization of PMS2.0, given the multitude of network managers (e.g., Belgium, France, UK, and the Netherlands together have more than 37,500 managers for 1,820,000 km of roads and highways).

Added value

In this project, CETIC brings its expertise in data management, particularly in setting up data lakes and choosing technologies to enable:

  • Secure access management, including the integration of smart contracts.
  • Mastery of data quality and governance.
  • Compatibility of the data lake with EMDS standards.