DataFromSky delivers the data for the models of tactical behavior of cyclists communicating their intentions.
The research project focuses on modeling the behavior of bicyclists at intersections under complex traffic situations and interactions with motor vehicle traffic.
Bicycling is an important part of the urban transport system and traffic control measures are necessary to control traffic flow. The capacity and traffic quality of all traffic participants at signalized intersections can be highly influenced depending on the volume of bicycles.
Video data for this project were collected by setting up high definition cameras on the top of the buildings (to obtain suitable aerial view for the DataFromSky Aerial analysis) near several intersections in the cities of Munich and Freiburg in Germany. Explicit and implicit behavior patterns of cyclists at intersections in the video are observed. Explicit behaviors include bicyclists’ body language to reveal their intentions like hand gestures or head movement. Implicit behaviors such as speed change, view change, or path change, indicate the lateral movement of cyclists indirectly. As for lane changing behavior and driving features, such as speed and positions, extracted by DataFromSky, the cyclist’s path selection behavior at intersections is analytically described.
The analyzed video data results in a model that predicts the behavior of cyclists at intersections based on their explicit and implicit behavior patterns in specific traffic situations. The resulting model can be used for example for supporting tactical and operational functions of automated vehicles in specific traffic situations or as an initial analysis that can give traffic and urban planners a very good overview for proposing some traffic adjustments.
This research project, with the use of DataFromSky, is being carried out by Technical University of Munich in Germany, Department of Civil, Geo and Environmental Engineering, lead by Dr. rer. nat. Andreas Keler, Dr.-Ing. Matthias Spangler, created by M.Sc. Georgios Grigoropoulos and Niu Ruixin.
Traffic flow based on trajectries: green – cars, red – cyclists, blue – pedestrians
DataFromSky Team was asked by the Slovak TV to answer the question on how can traffic analysis using AI help to improve the worsening traffic situation in many large cities? Intelligent traffic analysis can help to identify main transportation problems and the causes of frequent bottlenecks or traffic conflicts. Nowadays, transport engineers have a very powerful tool for planning and detecting these shortcomings = artificial intelligence platform DataFromSky.
DataFromSky Aerial analysis is, for its high precision and detailed telemetry data about each traffic participant, utilized by many municipalities, transportation departments, traffic engineers, urban and city planners or universities and research institutions worldwide. Our Aerial analysis is often used as an input for various traffic simulation models, or in behavioral studies of drivers for self-driving vehicles.
Have a look at the full reportage in Slovak TV
(play the video from 0:35 – 5:15, available only in Czech/Slovak language).
We have moved from the Sky to the Ski!
With our newly released DataFromSky Light, we are testing the software in unusual conditions and scenarios. Counting how many skiers are on the slopes? Not a problem at all. With our software, one can easily analyze how many people are currently on the slope, how many are waiting by the ski lifts, how many of them just stopped by a ski bar or restaurant or who is skiing outside marked slopes and much more!
You still have a chance to try the software on your own video, free of charge. It could be another atypical record, but keep in mind the recommended parameters for the input video (to achieve the best results with the highest accuracy):
resolution: 1280×720 or more (min. PAL)
bitrate: 5 Mb/s or more
framerate: 25 or more
min. traffic object size: 32px in one dimension
continuous video without cuts
no camera movement
Upload your video to WeTransfer and send it to email@example.com – if you need more information, follow the instructions in this post.
We are proud to announce that a new version of the DataFromSky Viewer is now available and brings lots of new amazing features for the advanced Safety Analysis. Do you want to evaluate how many risky situations and dangerous driving events occurred on the road? Use our DataFromSky intelligence! We can count the milliseconds to the near accident and predict the accident before it happened!
Traffic safety is a very important subject in the traffic industry and therefore our focus in this version was mainly on the new Safety Analysis feature that detects traffic conflicts like Time to Collision, Post-Encroachment Time or Heavy Braking in the scene. The DataFromSky Viewer now becomes a first tool that allows the user to detect and interactively analyse various traffic conflict situations between different traffic objects. Besides the standard ways of detecting the preemtive traffic conflicts, we used an innovative approach to simulate traffic object movement. Due to the huge interest in the traffic Safety Analysis, you can look forward to new features regarding this topic in the near future.
Enjoy a video showing an example usage of the new Safety Analysis feature:
The development of DataFromSky Safety Analysis features is done in collaboration with FAST VUT Brno and is supported by Technological Agency of Czech Republic (TAČR, project TH02010882).
A very good summarizing article about the capabilities of DataFromSky and how the advanced image data processing is contributing to optimize the urban mobility has been published on LinkedIn. Several use cases in which the data from the sky might be helpful are described by this article:
– possibility of analyzing the traffic node in terms of traffic safety – based on the detection of risky situations, near accidents and collisions
– analysis of interaction of vehicles, cyclists and pedestrians in public areas such as in surroundings of schools, city centers, bus and train stations etc.
– studies of parking lots utilization, behavior of vehicles in a carpark
– and many other applications which you can think about
To summarize, the greatest benefits of traffic research from the aerial video using advanced software for image processing are:
A) Accurate and detailed data about traffic from the bird’s eye perspective:
– complete trajectory and moving patterns of each traffic participant
– complex OD- matrix – vehicle counts, turning movements
– speed and acceleration profile of each vehicle
– vehicle classification into categories (car / heavy vehicle / bus, / motorcycle etc.)
– measurement of travel time and stationary time (queuing time)
– advanced heatmaps based on the velocity, acceleration, traffic flow
– evaluation of traffic safety (detection of near accidents based on calculation of Time to Collision [TTC], detection of risky situations or inappropriate driving behavior, heavy breaking)
B) Reliable, detailed research without influencing traffic behavior (inconspicuous solution).
C) Ultimate traffic research, almost without a human intervention – based on the machine learning and DNN.
D) Powerful tool which can improve traffic safety and urban planning of many Smart cities.
Do you want to know more? Read the whole article – click on this link.
Those of you who are following us regularly know that we are constantly working on improving and creating new possibilities of use for our DataFromSky Aerial Artificial Intelligence platform. DataFromSky can help to save lives not only in the transportation area, but also as a very powerful SAR (Search and Rescue) system!
We are currently developing a unique body recognition application – a software that recognizes human bodies from aerial pictures to find missing people much easier and faster. DataFromSky AAI Rescue system reduces the time required to rescue lost people or help with finding victims of natural disasters or some unexpected situations. Together with a greek UAV partner, we are working on the concept that can save lives in cases of natural disasters such as happened recently in the Greek resort of Mati.
Given the concerns inherent in large regions due to limited rescue distribution, UAV-based frameworks are a promising platform for providing aerial imaging. The primary role of such intelligent drone is to assist in search & rescue, structure and commercial building fires, wildland fires, and help document natural disasters while helping to find the victims faster! With a thermal imaging camera, there is a high chance to detect fires already at its beginnings and possibly to prevent a disaster.