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Multicriteria selection of trajectories in DFS Viewer

How to apply multicriteria selection for all trajectories and choose only the ones you want? With DataFromSky Viewer – sofisticated software for advanced traffic data interpretation and visualization, you are able to create not only the simple Origin Destination Matrix, but with advanced setttings, the multi-criteria selection for the trajectories can be applied.

Following gif presents detailed process, how to do it:

Usecase shown in the gif
If you want to track particular path and see how many vehicles have used that combination, a selection tool can be used.
In step 1, selection criteria for Entry and Exit gate were defined and all the trajectories, which have not used this combination were removed. After this selection, 4 trajectories remain.
Step 2 – As we wanted to know, how many cars leaving the service station in the South exit will turn right on the crossroad, another selection critera was applied. This condition specifies that only trajectories, which have used the combination Entry gate: south exit of the service station and Exit gate: turning right on the traffic lights, will be shown. Finally, only 2 trajectories left, which fulfill all the above defined criteria.

Why is the multi-criteria selection useful?
– show only the trajectories you want
– monitor and analyze traffic behavior in a defined way
– monitor time cars spend in service station / facilities
– find traffic patterns, identify problematic zones

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New: gate pair statistics and track colour by direction

Summer is a time for leisure, vacations and work pace is slower. DataFromSky did not completely sleep, though. Two new functions of the Viewer are now available!

Gate pair statistics

This function is a generalization of origin-destination matrix. For an O/D matrix you need counts. DataFromSky can give you more, though: Instead of just counts, we also offer timing statistics – minimum, maximum, average and median plus standard deviation.

The Viewer got a new dialog for this. It shows a matrix of gates, and tabs for the various measures. When you select a cell, the pair of gates is highlighted as well as the path that vehicles take. If you select more, the highlight colours vary. This way you can easily look at the timings and see what belongs where. If the displays in image overlap, no problem – just drag them where they do not bother you.

Track colour by direction

The second new feature allows you to visually discern what paths vehicles take, too. You can now set individual tracks (trajectories) to be coloured according to entry and exit gate combination. Thus you can easily see where a given vehicle goes, and if you select the non-present tracks to be visible, you can even see the paths all of these vehicles collectively take.

With the direction colouring, this allows easy inspection of eg. lane utilization.

All of the colours can be configured – you can even customize the display to your company brand colour scheme, if you so desire, for images to be included in reports.

We hope you like both of the new additions. We have an endless list of things that can be added or improved, so expect more to come – and keep watching us to learn about more of these exciting developments!

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Dynamic heatmaps

We are happy to announce yet another function in DataFromSky Viewer: We have added dynamic mode to heatmaps. Previously, the heatmap displayed data taken from the whole length of video, statically. With dynamic mode, the visualized quantity is taken from an interval around current time.

You can see that there is a lot of potential in having this visualization. The current selection of quantities isn’t everything, of course. We are planning to add various other heatmap options like density, flow, time to collision and others. Follow our news to learn more when these are ready!

In other news, the FAA of USA today finally managed to produce regulations for commercial drone use, ending the legal vacuum or somewhat gray area. Hopefully, this will serve as an example to other countries when deciding how to regulate drones. The focus on safety and privacy is something very understandable. We’re also happy to note that the requirements are very reasonable and operations around road traffic are not significantly hampered!

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New functionality: Flow visualization

A new function was added to DataFromSky: Traffic flow visualization. Instead of collecting vehicle counts from manually defined combinations of gates, one can now get a fully automatically generated overview of the situation. Take a look at the pictures below to compare the old and new ways:

Normal view – a tangle of trajectories

New view – trajectories’ aggregation

What happens behind the scenes is that the trajectories are grouped according to their characteristics and the resulting trajectory groups visualized according to their average. Needless to say, the DataFromSky team is pleased to bring another of computer science concepts – clustering – into practical use in the field of traffic engineering.

Of course, the trajectory clustering is again only another stepping stone on which one can build further. Even the most rudimentary statistics inside the trajectory groups allow getting at more and more interesting kinds of information. Let’s say… Automatic detection of fastest path, extracting the associated speed, time spent in roundabout etc., comparison with the rest of the group,… As always, there is much space to grow and improve. As we all know – the sky’s the limit!

As the academic year is coming to its last weeks, the DataFromSky protégés which you already heard about will boost the team shortly. So look forward to more news of this kind, and if you have an idea for a function, type of data, that can be extracted from the currently available information, we are ready to listen!

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