  The establishment of fast and reliable communication technologies, such as
5G, is enabling the evolution of a new generation of connected ADAS. This work
aims to develop a traffic light advisory system, Multiple Traffic Light Advisor
(MTLA), to improve driving efficiency and intersection viability, and reduce
urban pollution. The developed system guides the driver on how to modify the
vehicle speed to efficiently utilize the current and future states of the
traffic lights ahead. Starting from a non-optimal implementation of the overall
architecture, MTLA is further improved through a non-linear MPC approach. The
developed system is tested in a virtual environment in IPG CarMaker and results
show good performances with a high potential and space for future developments.
