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How to do traffic studies from the bird’s eye view?

Game changer in microscopis analysis!

Marta avatar
Written by Marta
Updated over a week ago

Do you need super-accurate data about every single participant of the traffic flow? Are you looking for a non-invasive solution offering a complete telemetric data about all moving objects in the recorded image, including cyclists and pedestrians? Does your project require analysis of speed profiles and various types of acceleration (lateral or transverse), or distances between objects and even their dimensions? Are you looking for an ultimate solution in the field of microscopic traffic analytics for research of interactions, calibration of models, or even the development of autonomous vehicles and other scientific and commercial projects? With DataFromSky and it’s bird’s eye view using drones and AI in image processing, you get all of these functions and much more.

Why use a drone for traffic analysis?

A drone is a perfectly mobile camera with an immense range of covered areas, which can be “installed” within a few seconds. One drone is enough to cover the whole intersection or even a whole transport corridor. A bird’s eye view is the most suitable option even in regards to the metering of dimensions, speed, and acceleration of objects on the road. With this type of view, you can get data so accurate that will be able to detect the change of gears of drivers. Interactions between drivers and links between individual traffic situations and objects can be observed much easier. Thanks to its accuracy, complexity, range, and availability, drone-captured traffic data open up a new chapter in the field of microscopic traffic analyses.

Bird’s eye view is mathematically ideal when it comes to localization of ground targets. In this case, a camera has the highest sensitivity even with changing of the object position within the image. With a growing incidental angle, this sensitivity decreases rapidly. This is the reason why it is not possible to acquire highly accurate data with cameras located alongside the road. Another advantage of the bird’s eye view is with natural minimization of object alignments and occlusions, making the metering even more accurate as the objects are always clearly visible. With this type of camera view, the localization accuracy of a vehicle reaches up to 15 cm, with the measurement error under 2% and measuring to 30 cm in dimensions (according to the configuration). If you want extremely accurate not only in the counting of an object in classes (O/D matrix, TMCs) but also in telemetric data (speed, acceleration, object size), the bird’s eye view is a perfect option. With this accurate telemetric data, it is possible to detect dangerous situations, calibrate models of driver behavior, or even count the capacity of crossroads and much more.

A dependence of localization accuracy on the angle of incidence and flight altitude. The plot shows the area which is possible to be covered with the given localization accuracy of vehicles up to 20 cm, using the 4K camera.

Accuracy of localization with a view from a drone. Contours within the image represent the possible object localization accuracy at the given part of the image (up to 15 cm!).

Up to 250 000 m² of covered area

With only a single flying camera/drone, it is possible to cover an immensely large area. From an altitude of 120 meters, you can monitor a road section of up to 250 meters in length. With 300 meters of altitude, you can cover up to 700 meters of the road, and that is a very decent area of monitored traffic area! To acquire image data even from very large traffic corridors, it only takes one device. This is why DataFromSky gives you the most detailed analysis for every single participant of the traffic flow you measure.

Installation within a few seconds

It is definitely not easy to prepare and carry out a traffic research, especially in the case of larger intersections, as you have to install a sensor device for every single mouth of the intersection. You also have to deal with mounting, power supply and on top of this, even protect the device against robbery or vandalism. What you usually get is a series of outputs, which have to be interconnected into one coherent output, which is a very complicated and tedious process. This is not the case if you choose to use a drone for your research! All it takes to analyze the given traffic flow is to fly above the section you are interested in, and make only one video-recording, which contains everything you will need. If your project requires recordings for a longer period of time, a drone can be supplied with a cable or you can swap a few drones to get the job done and give you the data you need.

Figure: Drone on the cable — tethered solution and drone swapping.

An ultimate solution

A video from the bird’s eye view is the cutting-edge solution also when it comes to the richness of acquired data. With one take, you get microscopic data from the whole intersection. AI and smart tracking algorithms then convert the video output into an extract with super-accurate trajectories within the individual classes. With data like this, you can answer even very complex traffic research questions, such as: What are the bottlenecks of the traffic flow? Where do the conflict situations take place? What is the capacity of the intersection? How much time do the vehicles need to cross the intersection in its various parts? How many vehicles have breached the speed limit? Where do the pedestrians usually cross it?

We will be happy to answer any questions you may have. Contact us!

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