Towards fluid and safe cities: how can data optimize and pacify traffic to promote soft mobility?

One of the central challenges of soft mobility lies in adapting urban uses, in particular through the deployment of bicycle paths, the safe cohabitation of different modes of transport (bicycle, pedestrian, scooter) and the harmonious integration of these modes into the existing urban fabric. The challenge is multi-faceted: it's not just a question of developing suitable infrastructures, but also of managing interactions between users, while guaranteeing safety and traffic flow in an increasingly dense environment. In this context, data and its analysis play a crucial role. By collecting and analyzing information on mobility flows, user behavior and infrastructure conditions, it becomes possible to better understand the needs of different modes of transport, as well as any friction points that may arise. This makes it possible to identify the most congested areas, optimize routes, make junctions safer or adjust traffic spaces according to traffic volumes, and so on.

For example, data on cycling routes can inform authorities about which routes are most frequently used and which require improvements or extensions. Similarly, analysis of interactions between pedestrians, cyclists and scooter users can help rethink shared spaces, adjusting facilities to avoid conflicts and improve safety for all. Finally, data can also help to pacify traffic by modeling flows more fluidly. By integrating real-time traffic management systems and forecasting tools, it becomes possible to regulate the movements of different users to avoid congestion and promote smoother, more serene mobility. The ultimate aim is to create urban spaces where soft mobility is not only encouraged, but facilitated, made safe and fully integrated into the overall functioning of the city.

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