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How advanced image analysis is contributing to optimize urban mobility?

A very good summarizing article about the capabilities of DataFromSky and how the advanced image data processing is contributing to optimize the urban mobility has been published on LinkedIn. Several use cases in which the data from the sky might be helpful are described by this article:
– possibility of analyzing the traffic node in terms of traffic safety – based on the detection of risky situations, near accidents and collisions
– analysis of interaction of vehicles, cyclists and pedestrians in public areas such as in surroundings of schools, city centers, bus and train stations etc.
– studies of parking lots utilization, behavior of vehicles in a carpark
– and many other applications which you can think about

To summarize, the greatest benefits of traffic research from the aerial video using advanced software for image processing are:

A) Accurate and detailed data about traffic from the bird’s eye perspective:

– complete trajectory and moving patterns of each traffic participant
– complex OD- matrix – vehicle counts, turning movements
– speed and acceleration profile of each vehicle
– vehicle classification into categories (car / heavy vehicle / bus, / motorcycle etc.)
– measurement of travel time and stationary time (queuing time)
– advanced heatmaps based on the velocity, acceleration, traffic flow
– evaluation of traffic safety (detection of near accidents based on calculation of Time to Collision [TTC], detection of risky situations or inappropriate driving behavior, heavy breaking)

B) Reliable, detailed research without influencing traffic behavior (inconspicuous solution).

C) Ultimate traffic research, almost without a human intervention – based on the machine learning and DNN.

D) Powerful tool which can improve traffic safety and urban planning of many Smart cities.

Do you want to know more? Read the whole article – click on this link.

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Venice – Final analysis

You probably remember the recording in Venice: Blimp recording in Venice, Recording in Venice in detail. We have obtained permission to share some of the results, so we can show you what can DataFromSky do for you, too!

Speed profile

The speed profiles for both areas were extracted.

At a glance, one can see what speeds belong to which path through the crossroads. It is also plainly visible which trajectories belong to slow and which to speedy drivers. In this case, the total area captured and analyzed is too small to show bigger changes in speeds, though.

Speed profile, Caposile roundabout
Speed profile, Portegrandi T-intersection

Area coverage

Density of trajectories corresponds to area usage. One can thus estimate how much of the road’s width is actually used by passing vehicles, and where the wear of roadway is most intensive.

Area coverage, Caposile roundabout
Area coverage, Portegrandi T-intersection

Conflict areas

DataFromSky can detect situations where vehicles become too close, or have to slow down to let each other pass. This is a visualization of these events’ spatial distribution. You can easily see that there is a single point for the T-intersection and estimate from the pattern at roundabout that its southern leg is far less used.

Conflict areas, Caposile roundabout
Conflict areas, Portegrandi T-intersection


Deflection and radius analysis

Deflection angle and radius analysis, Caposile roundabout

Deflection angle denotes the part of road which requires circular movement. Radius describes the size of that circle. Both can relate either to the shape of road, or actual trajectory used by vehicles.

DataFromSky provides real vehicle trajectories, so actual deflection angles and radii can be measured. These depend on the combination of entry and exit points, so it’s natural to split the trajectories into groups. Again, with DataFromSky you are not left wishing for features.

Road design validation

Road design validation, Portegrandi T-intersection

Last but not least, the trajectory data from DataFromSky is exactly what you need to validate design of the road. Whatever the design process, verifications, and modelling tell you before, here you get real data about the situation.

Pictures used in this post are only illustrative and do not match the text perfectly. All trajectories are visualized, instead of particular groups.

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