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

TL;DR

This paper presents the design and simulation testing of a connected traffic light advisory system that guides drivers to optimize speed, improve efficiency, and reduce pollution using advanced communication and control technologies.

Contribution

It introduces the MTLA system with a non-linear MPC approach, enhancing traffic light guidance for connected vehicles in a virtual simulation environment.

Findings

High performance in virtual tests

Potential for real-world application

Room for further development

Abstract

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.