Safety is one of the most important aspects of the traffic industry. Many serious traffic incidents happen on the roads worldwide every day. Thanks to the huge amount of traffic information gathered by DataFromSky aerial video analysis we are able to detect near-crash events, traffic conflicts, that statistically occur more frequently than real traffic accidents. By using this proactive approach that focuses on analyzing dangerous traffic situations that can but not necessarily have to lead to a traffic accident it is possible to detect:
– aggressive driver behavior
– offensive lane changing
– short following distances
– collision-prone traffic hub areas
So far, we have implemented some of the standard safety indicators like Time To Collision (TTC), Time Exposed Time To Collision (TET), Time Integrated Time To Collision (TIT) and Post-Encroachment Time (PET) which are used to detect traffic conflicts in spatial-temporal data obtained by DataFromSky aerial video analysis. The standard evaluation of some of these indicators was extended by road users movement prediction that better reflects their behavior and achieves better results. All of the detected traffic conflicts are properly visualized in DataFromSky Viewer where they can be interactively analyzed.
More features regarding the Traffic Safety analysis are coming. The project of Traffic Safety Analysis is jointly developed with the Faculty of Civil Engineering BUT and is supported by Technological Agency of Czech Republic.
Following video demonstrates the capabilities of DataFromSky Traffic Safety Analysis:
New traffic analysis from Mexico city.
The visualization video is showing capabilities of DataFromSky in very high traffic flow, where the density reaches 9 000 vehicles per hour!
Video displays IDs and categories of tracked objects (car, medium and heavy vehicle, bus, motocycle), current speed and acceleration, stationary time, traffic counting through gates, trajectories visualization and heatmaps based on average speed and acceleration.
Flow analysis, speed and critical points in the city of Alba
“DataFromSky”, in other words, data that arrives from the sky through the shootings of a camera placed on a balloon. It was not so difficult to see one of these during these days in the industrial area located in Corso Asti, where the local study “TrafficLab” is going to analyze the traffic from the sky. “This is an analysis that we need for planning the new commerce building placed in this area” says the municipal officer. The results are still processing. Andrea Marella, engineer at TrafficLab, says: “We realized some aerial video at a height about 50/60 meters. The results are really interesting, because it is possible to see the traffic from a different perspective.” And explains: “This is a new methodology developed about three years ago that allows to analyze the vehicle movements from the sky. This service doesn’t interference with the sensitive data, and helps to get information automatically with our software. This can give us the number of the vehicles on the road, the traffic flow, the directions, the speeds and the conflict points.”
Looking for solutions
The camera is attached to a balloon inflated with helium. Marella adds: “We cannot use drones, because it is too difficult to have authorizations. We work in this way from a long time, with motorway companies, shopping centers and traffic local authorities and the results are very satisfactory. In this way we can have a wider vision that allows to report potentially critical situations and to find out how to solve them.”
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.
As Denmark has become first country in the world using real-time traffic data all around the country we got the opportunity to analyse one of many busy crossroads in there. For us it is the second time monitoring traffic in Denmark, this time in Rismarksvej. The intersection is four-way and bicycles friendly and controlled by traffic lights.
Length of analyzed video: 11 minutes
Number of objects being tracked: 525 (vehicles and bicycles)
Total distance traveled: 89 044.4 metres
Average speed: 11.104 km per hour
The exact location is:
And we would like to thank to RAMBOLL for providing us a video.
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.
What can we get from 4K resolution in the field of traffic monitoring? We tried it for the first time and the answer is – coverage of huge intersections with great accuracy in the vehicle localization! DataFromSky is prepared to bring you high quality aerial video data.
See the first analyzed video in 4K provided by DronExplore.