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Traffic Behavior and Safety study in Denmark

In many cities, there are places where many road users pass or stay in a complicated network of routes and get into a risky interaction. It can be difficult to get an overview of the whole situation and define the “hot spots” where the traffic behavior is simply non-standard. Our tool Data From Sky is in most cases be able to uncover, sort and analyze all movements of vehicles, cyclists and pedestrians in a larger area and evaluate critical parts of a road network, that might be risky for any traffic participant. This kind of overview and analysis can give traffic and urban planners a very good starting point for designing any adjustments.

The figure below shows an area in the city of Aarhus in Denmark and displays the flow of cyclists (pink trajectories) and pedestrians (green trajectories) in the 2-hour period. The main goal of the analysis is to provide the Aarhus Municipality with an overview of cyclists and pedestrian movement in the analyzed area and identify some patterns in their traffic behavior.

After having formed a detailed overview of all the different flows and routes, author of this study (Birger Villadsen, Traffic Specialist at COWI) has focused on those areas, where cyclists’ and pedestrians’ behavior gets into a collision. The detailed DataFromSky Analysis helped to analyze the problematic spots and draw up proposals for changes, that can help to simplify the traffic flow. Aarhus Municipality will evaluate the list of proposals and test them on the site by making temporary changes and observing whether they have the intended effect before the changes are implemented permanently.

*full article can be found at Cowi Creators blog.

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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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