Germany traffic lights series#

Prior to running the simulation, we added the traffic volume measured during rush hour into the model, enabling the AI to work with real data. “We used a junction in Lemgo, where our testing is carried out, to build a realistic simulation and trained the AI on countless iterations within this model. The AI uses deep reinforcement learning (DRL) algorithms, a method of machine learning that focuses on finding intelligent solutions to complex control problems. The real-time sensors are combined with artificial intelligence, which replaces the usual rigid control rules. The technology also detects the average speed of the cars and the waiting times.

This allows the number of vehicles waiting at a junction to be determined accurately in real time. Instead of conventional sensors, they are using high-resolution cameras and radar sensors to more precisely capture the actual traffic situation. The researchers at Fraunhofer IOSB-INA are working to address these problems. In addition, the sensors currently in use - induction loop technology embedded in the road surface - provide only a rough impression of the actual traffic situation. The German Federal Ministry of Transport and Digital Infrastructure (BMVI) is funding the project, which ends in summer 2022.Ĭonventional traffic lights use rule-based controls, but this rigid approach does not work for all traffic situations. The project partners are Stührenberg GmbH, Cichon Automatisierungstechnik GmbH, Stadtwerke Lemgo GmbH, the city of Lemgo (associated) and Straßen.NRW (associated). The research teams at the institute branch for industrial automation INA, at the Fraunhofer Institute for Optronics, System Technologies and Image Exploitation IOSB, want to change this with their “KI4LSA” project, which uses artificial intelligence to enable smart, predictive light switching.

Germany traffic lights series#

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