Project MASAÏ

High-capacity Traffic Monitoring with DAS and AI

About the project

Sub-optimal traffic flow and road congestion are growing challenges in urban areas, further exacerbated by increasing urbanization and stricter environmental standards. Effective traffic management relies on realistic modeling based on real-world data, making widespread instrumentation essential. This project proposes an innovative solution: transforming roadside fiber-optic telecommunication cables into vibration sensors for traffic monitoring, with a spatial resolution of meters over a range exceeding 100 km. The objective is to develop advanced machine learning algorithms capable of detecting, tracking, and counting vehicles in real-time under dense traffic conditions. Additionally, the project aims to provide tools such as instantaneous speed estimation radars and average travel time estimators between locations. This groundbreaking approach seeks to revolutionize traffic monitoring and management while adhering to stringent environmental quality requirements.