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Overview
Managing crowds and optimising the flow of people in capacity-constrained environments, such as theme parks, shopping malls, convention centers, and sports arenas, can be challenging. Crowds lead to congestion, long queues, and poor user experiences if not managed effectively. Traditional crowd control systems often lack the flexibility to respond to real-time changes, making it difficult for operators to optimise the use of space and resources.
Our Innovation
SMU has developed an AI-based crowd management system that enhances the way capacity-constrained environments are managed. This innovative solution uses real-time data to monitor congestion, event availability, and environmental factors like weather and traffic conditions. The AI dynamically computes personalised schedules for users, optimising their experience while improving the overall flow of people in the space. By analysing historical and current data, the system automatically adjusts user itineraries in response to real-time changes, such as unexpected delays or surges in demand.
This solution also provides incentives for users to follow their optimised schedules, offering rewards based on their adherence, which further helps to reduce congestion and distribute foot traffic evenly across the venue.
Benefits
The AI-based crowd management system provides several key benefits:
- Real-time Updates: The system continuously monitors congestion levels and dynamically adjusts schedules, providing users and operators with real-time updates on the status of events, wait times, and available resources.
- Transport hubs: Improving passenger flow and reducing wait times at train stations, airports, or bus terminals.
- Optimised Flow: By computing and adjusting personalised itineraries for users, the system helps reduce crowding in specific areas, ensuring a smoother flow of people throughout the space.
- Automated Management: The platform automates key crowd management processes, minimising the need for manual intervention. It sends push notifications to users to inform them of changes in their schedule or conditions.
- Personalised Experiences: Users receive customised itineraries that take into account their preferences, ensuring a more satisfying experience. The system also includes the option to re-prioritise events based on real-time conditions, enhancing user satisfaction.
- Incentives for Compliance: To encourage users to follow their personalised schedules, the system offers rewards such as vouchers, points, or other incentives based on their level of compliance, which helps in managing overall crowd movement effectively.
- Improved Resource Utilisation: By managing the flow of people efficiently, the system helps operators optimise the use of limited resources and reduce the strain on capacity-constrained events or attractions.
Applications
The AI-based crowd management system is versatile and can be applied in various settings, including:
- Theme parks: Managing visitor distribution across rides and attractions, minimising long lines, and enhancing the overall guest experience.
- Shopping malls: Directing foot traffic more effectively, particularly during sales or busy periods, to avoid overcrowding.
- Convention centers: Optimising attendee schedules for sessions, exhibitions, and meetings, ensuring smooth transitions between events.
- Sports arenas: Managing crowds during major games or events, preventing bottlenecks at entry points or concession areas.
- Transport hubs: Improving passenger flow and reducing wait times at train stations, airports, or bus terminals.
This AI-powered platform offers a flexible, data-driven approach to crowd management that enhances user experiences, maximises resource utilisation, and supports seamless operations for event organisers and venue operators alike.
If you're interested in this technology, please contact KTC.