Real-time Crowd Analytics
Enabling analytics-driven insights for transportation systems, metro stations and airport terminals. The Real-Time Crowd and Transportation Management systems leverage sensors and video analytics solutions to capture crowd and traffic trends to derive insights for long-term management and planning decisions and short-term responses delivering optimal travel experiences.
Qatar’s booming infrastructure landscape is leading to the development of public transportation systems and hubs such as a new airport, port, new roads and a wide-covering rail and metro system.
The continuous improvement of these projects requires the capture of a large set of traffic and crowd data for further planning and evolution.
Key Benefits
Streamlined Station Operations
Dynamic re-shuffling of resources through live data helps optimize scheduling, ultimately eliminating bottlenecks and reducing traveler waiting times.
Reduced Traffic Congestion
Reliable and punctual public transportation services enhance service adoption, directly reducing the number of vehicles on the road.
Optimized Service Operations
By having visibility on demand, public transportation management is further adapted for optimal supply of vehicles, reducing costs less adopted route segments.
User Journey
Potential Service Features
- •Predictive Crowd Analytics
- •What-If Scenario Modelling
- •Vehicle Maintenance Scheduling
- •Safety and Evacuation Analysis
- •Ticket Pricing Yield Management
Implementation Analysis
Implementation Timeline
Regulatory Conduciveness
Technology Commercial Viability
Investment Requirements
Key Implementation Considerations
Integration with 3rd party facility CCTV and sensing technology infrastructures
Policies and standards for data and footage collection
Feed of real-time traffic and schedule standardized data from various sources
Integration with all of Qatar’s public transportation services
Conceptual Diagram
Relevant Tech Solutions
