News

What is the accuracy of small UAVs in traffic measuring?

New research paper called “How accurate are small drones for measuring microscopic traffic parameters?” published in Transportation Letters Journal can provide an answer. Adam Babinec, one of the main IT developers standing behind DataFromSky solution, co-author of the article conducted by University of Athens and Brno University of Technology, says:
„With this paper, we wanted to examine the potential of using sUAV as part of the ITS infrastructure as a way of extracting naturalistic trajectory data from aerial video footage from a low volume intersection and a pedestrian passage. Moreover, we have examined the accuracy of speed data collected from a drone compared to data collected from an On-Board Diagnostics II (OBD-II) device.”

The results show, that the distortion correction and calibration phase of the video are of crucial importance for high level of accuracy, in terms of stabilizing and geo-referencing the video. In order to extract accurate data from drone video footage, each aerial video must be stabilized to compensate for camera movement, since sudden vibrations or small wind gusts can lead to large errors on the ground.


Picture: a lightweight hexacopter (left), study area – low volume intersection in University of Athens campus (right)

The research paper is accessible on this page.

The accuracy of DataFromSky system itself was examined in another research paper, created in collaboration with Faculty of Information Technology and Faculty of Civil Engineering at Brno University of Technology and posted in International Journal of Transportation Science and Technology, for more information click here.

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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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DataFromSky traffic analysis in United Arab Emirates

DataFromSky has recently analyzed several traffic videos collected in United Arab Emirates, near cities of Dubai or Abu Dhabi. Output from one of these analysis may be seen below, or on our Vimeo channel. This analysis proves, that our system is adapted and capable of analyzing the videos in various weather conditions, including very dusty or sandy environment such the one in Emirates, as proven in the video.

Moreover, in recent times, our team of DataFromSky is working on development of realtime UAV solution – drone analyzer, that will be able to provide accurate traffic data right off. The main objective is to design the cutting edge technology: an UAV based solution for the purpose of active traffic management over a road network. The solution will be capable of providing real time video monitoring and traffic data collection on the road, starting with the simple vehicle counting, monitoring of traffic density, actual speed and acceleration, up to the vehicle number plate recognition. One of the specific and useful feature will be possibility to identify near accidents and collisions (identify dangerous behaviour of road users, slow moving traffic, stopped vehicles, traffic jam etc.).

Keep following our website and social pages to watch our progress (Twitter, Facebook, LinkedIn)!

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DataFromSky participated in Industrial Day event in Přerov

Our team attended the event called “Industrial Day”, held between 21. and 22. 7. 2017 in local airport of Přerov. We presented our work and capabilities at the seminar on “UAV/UGV and its use in Security”, an event dedicted to introduction and presentation of cutting edge technologies to support the use of robotic and unmanned systems in the development of Intelligence Surveillance Reconnaissance (ISR) capabilities for the Czech Armed Forces. We demonstrated our technology DataFromSky for tracking the moving object in the aerial video data and also our project related to perimeter security with a drone.

The event has been organized and supported by Ministry of Defence of Czech Republic, in cooperation with the Department of Industrial Cooperation and Organization Management (SPSŘO), LOM PRAHA and the Association of Defence and Security Industry (AOBP).

We are delighted, that our solutions have attracted many participants of the event and that we have met with a very positive feedback!

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Complete traffic analysis in Dalmine, Italy

DataFromSky in cooperation with Trafficlab, conducted an important and complex traffic analysis in Italy, over the motorway junction of Dalmine (Bergamo), near the A4 motorway (Torino – Trieste), and the highway SS470. With the aid of a special balloon (Immagini al Volo) and DataFromSky, it was possible to obtain a complete picture of the performance of the vehicles during the morning peak hours (7.00 – 9.00).

In particular, the studied elements are 4 junctions: 3 roundabout and 1 multi-level junction, directly connected to the motorway.

Through the traffic flows obtained, it was possible to create an OD-matrix for every junction and for every type of vehicle (bicycles, motorcycles, cars, medium vehicles, high vehicles, buses), to extrapolate information about the behaviour of every vehicle, such as acceleration, speed, time gap, time to follow; all these data are available for every route and every type of vehicle. The acceleration and the maximum and minimum speed values represent a valid help for the creation of a traffic simulation on the junction that were considered. The results are great with a minimum difference between the number of entering vehicles and the number of exiting vehicles (it has to be considered that the surveys were conducted in different times and days).

Another peculiarity of this tool is to give the possibility to elaborate vehicle’s trajectories with a GIS software. The trajectories are connected to a geo-database that contains all the information about the vehicle and its behaviour (shape files).

It is interesting to focus on the incorrect behaviour of road users with the help of the object presence alert, the new special feature of DataFromSky Viewer. For example, it was possible to see that a vehicle crossed the roundabout in the opposite direction!

Finally, thanks to an in-depth analysis of the Copert model about pollutant emissions, it was possible to define the quantities of pollutants released into the atmosphere by the traffic flow of the considered area: CO [kg], Non methane VOC – HC [kg], PM [kg], NOx [kg], CO2[kg] e Fuel Consumption [kg].



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