Initiated

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.

Tags:

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

1

A football game just ended and large crowds are heading towards the metro
2

Data is collected from the transport infrastructure and traveler journeys
3

Supply and demand data is aggregated and synthesized through automated algorithms
4

Vehicles and reassigned and directed to crowded areas
5

Official public transportation schedules are updated