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The establishment of fast and reliable communication technologies, such as5G, is enabling the evolution of a new generation of connected ADAS. This workaims to develop a traffic light advisory system, Multiple Traffic Light Advisor(MTLA), to improve driving efficiency and intersection viability, and reduceurban pollution. The developed system guides the driver on how to modify thevehicle speed to efficiently utilize the current and future states of thetraffic lights ahead. Starting from a non-optimal implementation of the overallarchitecture, MTLA is further improved through a non-linear MPC approach. Thedeveloped system is tested in a virtual environment in IPG CarMaker and resultsshow good performances with a high potential and space for future developments.

Design and Simulation-Based Testing of Connected Traffic Light Guidance Systems