Method for control of traffic regulation agents of a road network

Method for control of real traffic regulation agents of a road network comprising at least one road intersection, the agents comprising traffic lights and controllable traffic signs, with

• automatically continuously monitoring in real time a traffic situation of the road network by capturing actual traffic data using sensors installed at the road network, the traffic data indicating at least actual inflow and outflow for all available traffic flow directions of the road intersection,
• continuously modelling the traffic situation by a computer simulation comprising a digital model of the road network with digital traffic regulation agents modelling the real traffic regulation agents in parallel to the monitoring with the captured actual traffic data as continuous automatic input respectively update, therein simulating outflow for all available flow directions of the road intersection, with optimizing control of the digital traffic regulation agents using reinforcement learning, in particular deep reinforcement learning, such that the simulated outflows are optimized, in particular maximized,
• continuously adapting real-time control of the real traffic regulation agents according to the simulated optimized control.