Case Study

2026 Winter Games: Forecasting Mobility Demand & Red Zones with AI Agents

By 06/02/2026February 24th, 2026No Comments
SWITCH Winter Games

A complete predictive analysis automatically generated by AI: how the 2026 Winter Games will reshape Milan’s urban mobility.

Before the Winter Games, traditional predictive models all pointed to the same places: the stadiums. But reality had a different plan.

To show you exactly what happens when 75,000 people hit a city constrained by strict security perimeters and 65 simultaneous public transit disruptions, we did something unprecedented. We let our SWITCH AI Agent generate two comprehensive reports at two critical moments:

  1. Phase 1 (Pre-Event): Forecasting the mobility demand before the Games began.
  2. Phase 2 (Mid-Event): Analyzing the raw, real-world activity during the execution of the events, recalibrating the data on the fly.

Now, you can download both of them in one package.

This exclusive Pre & Mid-Event report bundle gives you an unprecedented view of urban mobility tracking during a live mega-event. Stop guessing. See exactly how the demand shifted in real-time and learn why Agentic AI is the only way to protect your margins when the real world refuses to follow a static spreadsheet.

What you will learn inside

  • 🚨 The Red Zone Trap: Why placing vehicles inside the 1,000m security perimeters resulted in frozen “Zombie” assets, zero revenue, and plummeting Unit Economics.
  • πŸ“ˆ The +15% Chaos Factor (Forecast vs. Live Reality): See the exact mid-event data proving that real-world activity ran 15% higher than baseline forecasts, with some areas like Assago seeing live activity nearly double (+97%).
  • πŸš‡ The Transit Multiplier: How 65 public transport disruptions and 76 altered lines fueled localized shared mobility demand surges of +10-15% as the games unfolded.
  • πŸ—ΊοΈ The Boundary Goldmine: Why the most profitable trips didn’t happen at the stadium gates, but at the 500m perimeters and along live dispersal routes toward nightlife districts.
  • πŸ€– The Power of Agentic AI: Actionable insights on how moving from “Telematics 2.0” to Autonomous AI Agents allows fleets to automatically update geofencing, dynamic pricing, and rebalancing in real-time while the event is happening.

Want to go even deeper? These master reports provide a powerful city-wide overview of the Games. However, the exact same SWITCH AI Agent that generated these documents is actively providing our enterprise clients with hyper-granular, custom live analyses – simulating specific fleet sizes, calculating exact street-level vehicle placements, and outputting customized operational strategies tailored to their unique business models.

DOWNLOAD THE REPORT NOW

 

Team SWITCH

Author Team SWITCH

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