Project cooperationUpdated on 16 February 2026
Mobility: Smarter, Safer, and Cleaner Transport
Managing Director at Syntezia Sàrl
Geneva, Switzerland
About
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Traffic Flow Optimization: AI algorithms analyze real-time data from cameras, sensors, and GPS to control traffic lights dynamically. Instead of fixed timers, lights adapt to actual traffic conditions, reducing idling time and emissions by up to 20%.
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Autonomous & Connected Vehicles: AI is the "brain" of self-driving cars, processing data from LiDAR and cameras to navigate safely. Beyond full autonomy, AI enables "platooning" for trucks—where vehicles drive close together to reduce air drag and save fuel.
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Predictive Maintenance: For public transport and logistics fleets, AI analyzes engine vibration and heat data to predict mechanical failures before they happen. This prevents breakdowns and ensures public transit is reliable, encouraging ridership over personal car use.
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Mobility-as-a-Service (MaaS): AI powers the apps that seamlessly stitch together different modes of transport into a single ticket, making multimodal travel competitive with owning a car.
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