ROELOFS, an exclusive partner of DataFromSky in the Netherlands, carried out comprehensive traffic research of a traffic node in the province of Gelderland. The data collected with a drone and analyzed by DataFromSky Aerial platform will be used as the main source for a study for planned major maintenance in 2021.
The drone was deployed at the roundabout of the N318 Misterweg in Winterswijk. When preparing for the major maintenance of this road, it is also being examined whether road safety can be improved. Besides other things, DataFromSky offers many great features for analysis of traffic behavior and road safety, including analysis of risky situations or near collisions, calculation of Time to Collision, Heavy Breaking and analysis of many other factors.
For many years, the data were collected by people standing on the side and observing the traffic, then the data were evaluated manually. This process was lengthy, inefficient, and had low-precision data output. All of these shortcomings are overtaken with a new modern approach combining 2 great technologies of today world: drones and AI.
Traffic flow – trajectories: green – cars, yellow – heavy vehicles, red – bicycles, blue – pedestrians
Read a post in “de Gerlander” online magazine.
Need to perform operational analysis of a roundabout based on the real traffic data? DataFromSky supports the calculation of a wide range of operational parameters such as critical-gap time / follow-up time / critical headway etc. Get super accurate traffic data for your research and/or traffic study regardless of the type of intersection using DataFromSky.
Monitoring and analyzing traffic behavior at intersections and roundabouts is an important task in the present traffic research. Trajectory analysis provides higher-level situational awareness by understanding the behavior of every traffic element in the analyzed scene due to the rich information contained in its own motion. DataFromSky is able to extract trajectories and their spatial-temporal statistical characteristics automatically with very high accuracy and high sampling frequency. Accurate traffic data is essential in any modern research in the field of traffic analysis such as:
Motion pattern classification, Abnormal motion pattern detection,
Traffic mining, Prediction of non-recurrent short-term traffic patterns,
Developing next-generation driving behavior models, Trajectory clustering,
New perspective on merging behavior – gap seeking instead of acceptance behavior,
Evaluation of traffic simulation methods / models on real data, Capacity estimations,
Traffic congestion studies, Travel-time, Vehicle counting, Trajectory based analysis,
Road safety, Pedestrian and cyclist safety, Road-user interactions, Smart analysis,
Driver decision making and complex multi-actor interactions, Traffic instabilities,
Empirical evidence of multi-anticipation (drivers have multiple leaders),
Study of behavior adaptation effect.
Object counting and classification, gathering speed & acceleration data, O/D matrix and much more on an area of 55,000 square meters. DataFromSky is the name of the most advanced Aerial AI for an understanding of movements in videos taken by drones, balloons or helicopters.
Take a look at another nice shot from Italy taken from a balloon. The length of the video is 2 hours and 31 minutes. DataFromSky tracked 5 455 objects (4881 cars, 325 medium vehicles, 77 heavy vehicles, 68 buses, 101 motorcycles, 1 bicycle, and 2 pedestrians) with the average speed of 12.24 km/h and the total distance traveled by all participants reaching 1 847 km! Do you need extremely accurate data about traffic flow? Contact us!
We are happy to announce that we have succeeded with our proposed project and get supported in Programme Epsilon 2 conducted by Technological Agency of Czech Republic:
System for Preemptive Safety Analysis of Road Network Nodes and Traffic Flow
The aim of the project is development of a preemptive quantitative system for analysis of road network nodes in terms of safety. The system will be
based on analysis of time-space information about each individual traffic member. The information will be automatically extracted with high precision
and frequency from video data collected by UAVs. The trajectory data extracted from video will be analyzed in terms of traffic safety, based on
detection of non-standard and aggressive behaviour, conflict situations, incomfort during passage etc.
DataFromSky in cooperation with COWI is coming with a new traffic analysis from Denmark! As in all other major cities, massive amounts of traffic goes in and out of Copenhagen every day. This leads to congestion and the everlasting discussion on how to effectively move as many people as possible. In Copenhagen, almost 50 percent of all commuting trips are made using bicycles. This results in numerous potential conflicts between bicycles and cars, and the battle for allocating and distributing sheer road surface space between the transport modes is continually on – especially at certain locations, where available space is scarce. One such place is “Christmas Moellers Plads”, an intersection complex connecting inner Copenhagen to the island Amager. Through the use of a specialized UAV and Data From Sky, COWI has obtained a complete 4-hour overview of traffic passing through this complex for both cyclists and motorists – and the interaction between the two. The data extracted now forms the basis for looking into new and better solutions that will keep this people mover perform at its best.
We never rested on our laurels! Our tool for trajectory interpretation DataFromSky Viewer is being constantly evolved and now comes with few new functionalities!
Multilevel intersection detection
DataFromSky can track vehicles in multilevel roads! As the video shows, we can track all the vehicles even when the visual occlusion appears. DataFromSky can follow the whole trajectory of the car for the tracked time and collect reliable data – average speed, acceleration, gap-time, time to follow, heatmaps or dimensions of vehicles.
Since now, we are able to count the time, for which is the vehicle in a stationary position, in other words, how long the vehicle has to wait until it passes some obstacle (intersection, traffic lights, traffic jam etc.). This figure may help to determine the utilization and load of a traffic junction.
Hight: 81 m, top-down view
Place: multilevel intersection, Kato Varibobi – Greece
Take a look at the video below, demonstrating new useful functionalities of DataFromSky!
DataFromSky is a unique solution for motion analysis of aerial video data. The ability to detect, track and classify moving objects from aerial videos provided by drones, fixed cameras or other video sources opens new possibilities in the field of traffic monitoring. The technology behind is under intensive development and grows more efficient every day through the embedded capability of learning from its mistakes. We are happy to announce that we have made a significant step towards enhanced accuracy thanks to the complex integration of deep neural networks into DataFromSky framework. Our deep neural networks are being trained on millions of samples 24 hours a day. The quality is quite impressive right now!
Our tool for trajectory interpretation DataFromSky Viewer also comes with a new functionality. The new version extracts parameters which are sometimes difficult to obtain, such as gap-time, time to follow, heatmaps, and dimensions of vehicles. We recognize the potential of the data we are able to obtain, and, therefore, co-work on our tools with traffic researchers and traffic engineers worldwide. The video below demonstrates the new functionality of DataFromSky Viewer. Take a look!
Recently we got to analyzing a video of a roundabout in Roskilde, Denmark. And because Denmark is called: The land of bikes, we didn’t focus only on vehicles but also on bikes! And here is the result of our traffic monitoring:
Length of analyzed video: 15:38.48
Number of objects being tracked: 298 (vehicles and bicycles)
Total distance traveled: 79 354.4 m
Average speed: 34.0233 km per hour
Average distance on roundabout: 59.7474 m
And we would also like to thank Dansk Drone Kompagni for providing us the video.