Which big data application in transportation was first to reduce urban congestion by over 25% in major metropolitan areas?

The transportation industry has been transformed by big data analytics, revolutionizing how companies plan routes, manage fleets, and predict maintenance needs. This technological evolution has created efficiency gains that would have seemed impossible just a decade ago. Test your knowledge about how big data has specifically changed the transportation landscape in recent years, and see if you can identify which groundbreaking application has had the most significant impact on urban mobility patterns.

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Predictive traffic signal optimization systems that adjust timing based on real-time vehicle density patterns
Fleet telematics systems that reroute delivery vehicles based on historical congestion data
Passenger counting algorithms that adjust public transit scheduling based on demand forecasting
Ride-sharing allocation systems that minimize empty vehicle miles through predictive passenger matching