From Individual Automated Vehicles to Cooperative Traffic Management

(Duration: 01/2016 – 12/2019  Funding: NWO – TTW)


Automated driving has great potential to improve road safety, traffic flow efficiency and fuel economy and automation technology has been successfully demonstrated on public roads. However, before automation can be introduced in consumer cars, benefits and risks shall be evaluated in complex real world driving conditions with real human ‘drivers’ interacting with other road users. The IAVTRM project’s aim is to investigate highly automated driving with 1) individual automated vehicles, 2) cooperative platoons, and 3) cooperative traffic management through infrastructure communication. Algorithms and software for automated driving will be developed that are compliant with the safety and comfort requirements and can be verified by formal methods. These algorithms will be tested on the real-time vehicle simulators and, later, on real vehicles operating on highways and in urban areas. The influence of vehicle automation on the road traffic and fuel efficiency will be studied.

Almende’s contribution

Almende will use the insights gained in the project for the further development of its DEAL platform, which allows for information transfer between different actors in a logistics network to improve coordination and traffic flow.


The project is relevant to Almende’s vision and experience in the logistics domain, specifically with respect to optimizing information flows and planning when dealing with (partially) automated traffic. The results of this project will be incorporated in the DEAL platform.


Automated driving, risk analysis, autonomous driving, intelligent vehicles, traffic flow modeling