The MAVEN concept is illustrated in this figure. Managing automated vehicles at signalised intersections and corridors is the core of the project. This will be achieved through platoon organisation and negotiation algorithms, which extend and connect vehicle systems for trajectory and manoeuvre planning and infrastructure systems for adaptive traffic light optimisation.


The main aim of MAVEN is to enhance intelligent urban road transport network and cooperative systems for highly automated vehicles. Sub-objectives are:

  1.  Develop a generic multi-level system for the guidance of highly automated vehicles, applied to dynamic platoons at signalised intersections and signalized corridors.
  2. Contribute to the development of C-ITS communication standards, in particular message sets for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) interactions to support vehicle platooning and negotiation and scheduling algorithms.
  3. Develop and integrate ADAS techniques to prevent and/or mitigate dangerous situations taking into account Vulnerable Road Users (e.g. pedestrians and/or cyclists).
  4. Develop, test, demonstrate and evaluate the MAVEN system for signalized intersections and signalised corridors, including local level routing strategies, traffic light optimisation and trajectory planning, by means of a real-world prototype vehicle and traffic simulation studies.
  5. Produce a roadmap for the introduction of future traffic management systems.



The project includes a user assessment effort. It will develop algorithms for organising the flow of infrastructure-assisted automated vehicles, and structuring the negotiation processes between vehicles and the infrastructure; as well as build a prototype system for field tests and for extensive modelling for impact assessment. A roadmap for the introduction of road transport automation will be developed, to support road authorities in understanding potential future changes in their role and in the tasks of traffic management. A white paper on “management of automated vehicles in a smart city environment” will position the MAVEN results in the broader perspective of transport in smart cities, and embed these with the principles and technologies for smart cities, as well as service delivery.