SOCRATES2.0 Cooperation Framework delivered

Public and private partners of the SOCRATES2.0 project developed a framework for public – private cooperation in traffic information. The SOCRATES2.0 Cooperation Framework is relevant and valuable to all relevant stakeholders in traffic management and –information services: international service providers, car manufacturers, ITS companies and road authorities. This framework will be the basis for a European deployment of Interactive Traffic Management.


SOCRATES2.0 is a pan-European project where public and private partners are realising smart traffic information and traffic management services in the regions of Amsterdam, Munich, Antwerp and Copenhagen. The pilots will start as of June 2019. In preparation for the actual pilots, a framework on the cooperation has been delivered.


The framework consists of: 

  • The Socrates2.0 vision on public –private cooperation in traffic information services. The partners wanted to establish something new and not just improve an existing concept of cooperation. To do so, they recognised that a paradigm shift should be made from ‘managing and influencing traffic’ to ‘supporting people on their travel from A to B’.
  • Elaborated use cases for services for road users: smart routing, actual speed and lane advice and local information and hazardous warnings. These include a list of steps defining the interactions between actors and systems to achieve the goals.
  • Options for cooperation of the stakeholders, to be able to realise the services by defining common goals for different levels of cooperation and the concept of an intermediary, based on the services and cooperation models. An intermediary could have a role in data exchange coordination, aggregation, fusion, quality control and common situational picture. The framework describes a number of typical options for the intermediary role, to be selected and elaborated in the next activities of the project.


Irina Koller-Matschke (BMW), project leader for the realisation of the framework: “This framework presents a first selection of options for cooperation and implementation of services. For example a Cooperation Model matrix and different Intermediary types are presented. It is expected that for the different SOCRATES2.0 pilots there will be no “one size fits all” Cooperation Model and variations to the Intermediary types are possible. The upcoming SOCRATES2.0 pilots will experiment with different Cooperation Models and Intermediary types per use case, in order to experience more and learn the effects of different options. The results will be used to update the framework.”


- Full report SOCRATES2.0 Cooperation Framework

- Factsheet SOCRATES2.0 Cooperation Framework (summary)


SOCRATES2.0 is a pan-European project where public and private partners are realising smart traffic services and traffic management in the regions of Amsterdam, Munich, Antwerp and Copenhagen. International service providers, a car manufacturer, ITS companies and road authorities are cooperating and sharing information in order to create new and better services for road users.

Besides realising smarter services for road users, the partners in SOCRATES2.0 are defining and experiencing public-private cooperation in traffic management. By exchanging and integrating all available information from road authorities, service providers and road users, the creation of a complete and consistent picture of the current and expected traffic situation becomes possible and opens the way to develop common traffic management strategies. This way smarter and consistent traffic management and navigation services can be provided to road users. Cooperation and the use of smart services by road users will thus lead to faster, greener and safer traffic.

The lessons learned are expected to be valuable to all relevant stakeholders. Finally, SOCRATES2.0 also provides the essential building blocks to prepare Europe for the future of self-driving cars. It is anticipating the integration of traffic information and navigation services in self-driving cars.