How AI reduces emissions in traffic management

Urban traffic is a major contributor to carbon emissions, air pollution, and congestion. AI offers transformative solutions for smarter mobility management, enabling cities to optimize traffic flow, reduce idle times, and lower emissions while improving safety and efficiency. This session showcases AI-driven traffic management systems capable of analyzing real-time data from sensors, cameras, and connected vehicles to dynamically adjust signals, predict congestion, and optimize route planning. Participants will discover technologies that integrate traffic simulation, predictive modeling, and environmental impact monitoring to guide sustainable urban mobility strategies.

Target audience: Municipalities, transport agencies, mobility SMEs.

The list of pitching companies will be announced at the beginning of February 2026.