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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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[:en]Planned features[:it]Nuove proprietà in arrivo[:]

[:en]Bounding boxes mockup

We wish to share a couple of interesting features that will be coming to DataFromSky soon. Currently, DataFromSky understands vehicles only as points. This is an outcome of using the particular technology which we chose. However, this results in one very important drawback: We can’t tell real distance between vehicles. Incidentally, we hope for many applications, which would need precise measurement of distances starting from the actual metal, not an ideal point. After this introduction, it should come as no surprise that we are working on detection of vehicle bounding boxes. This will enable much better distance measurement for safety evaluations.

Another improvement in the pipeline is addition of anonymization functions. As you can imagine, aerial recording in urban areas results in a lot of areas being exposed, while they are assumed to be hidden from sight. To protect privacy, DataFromSky will allow marking of areas for blurring or blanking.

We hope to add this soon, so stay tuned for new versions![:it]Bounding boxes mockup

Desideriamo condividere un paio di proprietà interessanti che verranno introdotte su DataFormSky molto presto. Attualmente, DataFormSky identifica i veicoli solamente come punti; questo deriva dalla particolare tecnologia che abbiamo scelto di utilizzare. Tuttavia, ciò si traduce in uno svantaggio notevole: non è possibile identificare la reale distanza tra i veicoli.
A proposito, ci auguriamo di poter dare il nostro contributo a molte applicazioni che invece avrebbero bisogno di misurare con precisione le distanze a partire dai limiti delle sagome reali dei mezzi, non solo considerandoli come un punto ideale. Dopo questa introduzione, non dovrebbe sorprendervi sapere che stiamo appunto lavorando al rilevamento dei veicoli in forma di parallelepipedi. Ciò consentirà una misurazione nettamente più precisa dei gap, anche al fine di eseguire valutazioni sulla sicurezza stradale.

Un altro miglioramento in programma riguarda l’ aggiunta di funzioni per la privacy. Come potete immaginare, la registrazione aerea nelle aree urbane prevede l’esposizione di molte aree che si presume invece rimangano nascoste alla vista. Per proteggere la privacy, DataFormSky consentirà la demarcazione delle zone di offuscamento o di esclusione.

Speriamo di mettere in pratica in breve tempo questi aggiornamenti, quindi rimanete sintonizzati per nuove versioni![:]

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