The whole team of DataFromsky is happy to announce that the Technological Agency of Czech Republic has supported our project in the international programme “Delta”. We have succeeded with a project called “Traffic management platform development for big social events using a drone based on visual sensing techniques”.
The aim of the project is to develop an aerial artificial intelligence – a comprehensive mobile platform for real-time monitoring of traffic and big social events, using a UAV and advanced methods of computer vision based on artificial intelligence. The goal of is to develop a fast-deployable system for real-time surveillance of the defined area with automatic object recognition and classification, monitoring and automatic motion evaluation. Extracted image data will be analyzed in order to detect some nonstandard behavior, congestion, zone disturbance, and other user-defined parameters. Traffic data will be used for the immediate evaluation of traffic using simulations. The system has a high potential of being deployed in the traffic monitoring segment (police drone) or in a security field.
The novelty of the solution is in the implementation of intelligent UAV, which will provide information about moving objects during the flight operation, and interpret this data in the context of a particular application. This highly mobile platform is used wherever it is necessary to analyze the real-time situation.
The project is a multidisciplinary task that combines the latest trends in mobile robotics (UAV), computer vision, and automated telemetry analysis. The system will be integrated into a higher unit to evaluate traffic situations and traffic plans based on simulations.
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).Read more
Are you wondering is DataFromSky Light can analyze videos recorded during the night or dusk or bad light conditions? Have a look at a new video processed by our fully automatic service DataFromSky LIGHT! There is proof that yes, it can!
Automatic traffic data analysis at any time, in any weather conditions!
Do you want to test DataFromSky LIGHT and have your video analyzed? Our DFS Light analysis is free of charge!
Follow these 3 basic steps:
1) record the traffic scene using a static camera or simply your phone
2) upload the video to WeTransfer.com and send it to email address email@example.com
3) receive the results together with DataFromSky Light Viewer software and enjoy your data
For more information, contact us at firstname.lastname@example.orgRead more
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: