The Evolution of Smart Mobility Technologies
Enabling efficient and inclusive mobility while reducing the ecological impact of the movement of people and goods is a crucial issue for modern society. In recent years, the world of Intelligent Transport Systems (ITS) has developed a body of standards enabling cooperation between vehicles and between vehicles and infrastructure to guarantee road safety and optimize traffic flows. Services based on loose cooperation with centralized servers (traffic planning, guidance, finding parking or recharging stations, etc.) and leaving a great deal of autonomy to the driver or vehicle are already part of our daily lives. On the other hand, more critical services requiring direct cooperation between vehicles or between vehicles and roadside equipment are struggling to be deployed, despite the expected benefits in terms of road safety and efficiency. In this presentation, we will explore the possibilities offered by different forms of direct cooperation between vehicles and with local infrastructure. In particular, we will show how the latter can be used to better perceive vulnerable road users and to support the heterogeneity of communication technologies. We will then look at how the various forms of AI are used, and what data they need to make their decisions, as it is precisely one of the challenges of cooperation to feed the AI used at different levels (autonomous driving, perception, traffic light management, etc.). Finally, we will discuss the perspectives opened up by the arrival of AI techniques in the field of cooperative ITS and its impact on communication technologies and information exchange protocols. Among the different forms of interaction, we will explain how we see the potential of what we call ephemeral local interactions.