The iconic Indianapolis Motor Speedway (IMS) is more than a century old, but NTT has transformed it into a connected venue of the future. With its main event, the Indianapolis 500 drawing more than 300,000 spectators on race day each year, it’s the highest-capacity sports attraction in the world. And with innovative smart solutions from NTT DATA, we bring the physical space and fan experience closer.
Since 2021, IMS staff have been able to better manage any event taking place there, be it a marquee race or a sold-out concert, including access to real-time information and AI-driven analytics on crowd size, wait times, traffic congestion and more, using digital twin technology.
What makes a smarter venue?
It’s all about insights — from delivering operational awareness to enhancing the fan safety. It’s about improving security and public safety. At the Indianapolis Motor Speedway, it means:
- Crowd and traffic monitoring, including real-time analysis and alerting
- Crowd numbers or congestion insights for specific gates and tunnels using predictive analytics for the benefit of organizers as well as event attendees as they arrive and depart the facility
- Faster response times to potential issues and risks
- Data-driven decision-making for operations personnel, giving them greater ability to respond and optimize their resources by focusing on real emergencies or where event attendees will benefit the most
The solution encompasses an AI-powered digital twin of the iconic Indianapolis Motor Speedway, demonstrating how real-time intelligence transforms venue operations. The following are examples of the various scenarios that may be in operation with the solution. However, not all the scenarios may be operational at the same time during every event by venue operations managers:
- System Ready | Model calibration, historical pattern seeding
- Crowd Surge | Density prediction, zone risk scoring
- Parking Alert | Arrival forecasting, overflow activation
- Network Issues | Latency prediction, automatic failover
- Security Breach | Behavioral anomaly detection
- Medical Emergency | Crowd-health correlation, rapid dispatch
- Queue Buildup | Wait-time prediction, service optimization
- Staff Rebalance | Workforce load modeling, fatigue analysis
- Fan Engagement | Dwell-time analysis, experience scoring
- Revenue Boost | Conversion modeling, promotion impact
- Heat Warning | Weather-to-risk correlation, proactive mitigation
- Energy Balance | Load balancing, ESG monitoring
- AI Advisor | Cross-domain reasoning, decision intelligence
- Event Summary | KPI analysis, continuous learning
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