Future cooperative driving functions include various system elements besides the vehicle’s own system, from the back end to transmission infrastructure and other vehicles. These kinds of highly complex networked systems can no longer be reliably developed using today’s methods and would entail very high costs for development, integration and testing. As a result, these kinds of functions have to be implemented and evaluated early on using consistent methods, for example with the integrated tool environment at Fraunhofer Institute for Cognitive Systems IKS (former Fraunhofer ESK). Using this Innovative driving functions can be quickly developed to market maturity.
Thanks to the automatic cooperation between different road users, totally new applications can be developed that contribute to increased road safety and efficiency. One example of this is lane closures, where cooperative lane merging assistants can reduce congestion.
As a result of the innovative nature of these kinds of functions based on intensive networking, they are often totally new and customised developments. The first functions implemented work with simple interaction mechanisms like the unidirectional triggering of a warning with a congestion warning assistant and can be produced using current software tools. Future cooperative driving functions on the other hand have complicated interaction mechanisms, for example as required for automated lane merging. They involve different players, for example other vehicles or back end services, which contribute crucially to the outcome of driving decisions.