We’re thrilled to announce that the team’s latest publication has been accepted for publication in the highly ranked journal SoftwareX. Congratulations to the entire team — a truly well-deserved success! 👏 You’ll soon be able to read about RouteRL in open access. RouteRL is a new framework that combines multi-agent reinforcement learning with detailed traffic simulations to explore route choice strategies for autonomous vehicles. It models both human drivers and AVs, enabling research in transportation, MARL, and human-AI interaction. This study introduces the framework, its research potential, and illustrative use cases.