Traffic Intelligence

The easy way of getting traffic data

GIF file of a Traffic Intelligence simulation

Good urban transportation decisions are based on actual road usage, intersections, bike lanes, and much more across the whole city. Manual traffic counting with random sampling often is common practice for data collection, usually done by persons on the side of the road. Although this approach is well known, it is neither holistic nor sustainable – road traffic is just too complex to capture by manual counting on a few days only. For example, it is almost impossible to manually capture origin-destination directions or estimate speed data at huge intersections.

But wouldn’t it be great to have such information at your disposal? Our solutions offer a new generation of sensors to gather all reliable traffic data – not just about a few key intersections, but the whole city! It is easily possible to upgrade existing traffic cameras and convert them into smart sensors. The SWARM Perception products allow to collect real time traffic data, 365 days a year, to accurately identify traffic patterns and trends. And all this for an affordable price.

The SWARM products detect and classify all relevant road participants: Vehicles, pedestrians and bicycles can be counted simultaneously at intersections, sidewalks and bike lanes – while detecting the directions by using defined entry and exit areas.

Let’s have a deeper look at our solution’s features:

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Traffic Counting & Classification
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Origin-destination Monitoring
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Cyclist & Pedestrian Measurement
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Queue Length Detection
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Real-time Data Visualization
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Intersection Monitoring
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Speed Measurement
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100% GDPR compliant

From video to data with Swarm Analytics

Real world example

Now that you got insights about our Traffic Intelligence solution, we would love to show you an example of it. For this use case, we are working together with the city of Odense in Denmark:

Live demo

Would you like to go over our Traffic Intelligence solution and hardware options in a short meeting? Feel free to get in touch with our colleagues. They are looking forward to showing you around:

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