How Video AI Analytics is making urban mobility smarter

Cities are growing rapidly. More inhabitants, more traffic, increasing pressure on infrastructure and the challenge of limiting CO₂ emissions. Traditional solutions such as building new roads or additional traffic lights fall short. The result: traffic jams, congestion and traffic unsafety that put pressure on the livability of inner cities. Municipalities therefore need smart, innovative ways to organize traffic more safely, efficiently and sustainably.

The key? Data that is already available! There are already plenty of cameras: at junctions, along main roads, in car parks and on public transport. While in the past they were mainly used for surveillance and incident follow-up, today they can do much more. Video AI Analytics transforms the existing infrastructure into a powerful tool for understanding and managing traffic flows.

What is Video AI Analytics?

Video AI Analytics analyses camera images in real time using artificial intelligence. Whereas a human can only monitor a limited number of screens, Video AI Analytics continuously processes hundreds of image streams simultaneously. It recognises vehicles, cyclists and pedestrians, measures traffic density and automatically identifies anomalies or dangerous situations.

The big advantage: cities exploit existing cameras. Without large investments in new sensors or hardware, a traditional camera system becomes a smart data source for traffic management and mobility.

Applications for Smart Mobility

The possibilities of Video AI are broad and touch almost all aspects of urban mobility:

Real-time traffic monitoring
Traffic jams, accidents and congestion are automatically detected, allowing traffic control centres to intervene more quickly.

Dynamisch verkeersmanagement
Slimme koppelingen met verkeerslichten zorgen voor betere doorstroming. Denk aan langer groen op drukke wegen of slimme omleidingen tijdens evenementen.

Bicycle and pedestrian flows
AI counts users and identifies risks so that vulnerable road users get safer and faster passage.

Crowd Management
Events, stations and stadiums become safer and clearer through real-time insights into crowds and people flows.

Smart Parking
Cameras recognise free spots and direct drivers to a spot via apps or signs, leading to less search traffic, fewer emissions and less stress.

Integration with existing systems
Video AI links seamlessly with traffic management systems, dynamic route signs and even navigation apps, turning data directly into action.

The advantages for the cities

Using Video AI Analytics for mobility provides municipalities with direct, measurable benefits:

• Better utilisation of the existing camera infrastructure
• Faster intervention thanks to real-time alerts
• Less traffic congestion and emissions and therefore cleaner air
• Better protection for cyclists and pedestrians
• Understanding traffic flows for data-driven policy

Turn any camera into a smart mobility management tool

Video AI Analytics transforms any existing camera into an intelligent mobility management tool. It is a scalable and future-proof solution that makes traffic safer, more sustainable and more efficient. From real-time monitoring to predictive analytics, Video AI Analytics helps cities move from observing to understanding and from reacting to directing.

Want to know more about the possibilities of Video AI Analytics for Smart Mobility? On Wednesday 22 October, we will jointly organise the webinar with LUMIGUIDE Intelligent mobility: how to optimise traffic flow in the city””. More information and registration can be obtained via this link.