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).
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.
In many cities, there are places where many road users pass or stay in a complicated network of routes and get into a risky interaction. It can be difficult to get an overview of the whole situation and define the “hot spots” where the traffic behavior is simply non-standard. Our tool Data From Sky is in most cases be able to uncover, sort and analyze all movements of vehicles, cyclists and pedestrians in a larger area and evaluate critical parts of a road network, that might be risky for any traffic participant. This kind of overview and analysis can give traffic and urban planners a very good starting point for designing any adjustments.
The figure below shows an area in the city of Aarhus in Denmark and displays the flow of cyclists (pink trajectories) and pedestrians (green trajectories) in the 2-hour period. The main goal of the analysis is to provide the Aarhus Municipality with an overview of cyclists and pedestrian movement in the analyzed area and identify some patterns in their traffic behavior.
After having formed a detailed overview of all the different flows and routes, author of this study (Birger Villadsen, Traffic Specialist at COWI) has focused on those areas, where cyclists’ and pedestrians’ behavior gets into a collision. The detailed DataFromSky Analysis helped to analyze the problematic spots and draw up proposals for changes, that can help to simplify the traffic flow. Aarhus Municipality will evaluate the list of proposals and test them on the site by making temporary changes and observing whether they have the intended effect before the changes are implemented permanently.
*full article can be found at Cowi Creators blog.
In the first week of December 2018, the annual RMS Bridge Conference was held in Powerhouse Museum in Sydney, Australia. One of the main topics was „Smart Technology for Bridges” where a concept of using drones with Aerial Artificial Intelligence (DataFromSky software) in bridge inspection was presented. Besides the new application field in bridge inspection, other use cases of DataFromSky were shown by Houman Hatamian (traffic monitoring, perimeter surveillance, pedestrian monitoring etc.). The presentation on this event, that attended more than 350 participants this year, was received with a very positive response!
DataFromSky is participating on Hi-Tech China exhibition in Shenzhen! One of the biggest hi-tech event in Asia is held from 14. to 18. 11. 2018 in the Convention and Exhibition Center in Shenzhen. You can find us on the stand together with the Czech governmental agency Czech Trade. Come to visit us on stand nb. 1A93 in Hall 1!
Click here to see the event’s website.
DataFromSky participated on the Traffic Expo in India, Mumbai, alongside with our partner VTRAC Worldwide. Our AAI, Aerial Artificial Intelligence, aroused big interest among many visitors of this smart traffic exhibition.
Have a look at a few photos from our stand!
Next station? Hi-Tech Exhibition in Shenzhen, China, 14.-18.11. 2018, come to visit us on our stand n.1A93, Hall 1 in Convention and Exhibition Center in Shenzhen!
Roelofs, partner of DataFromSky for BENELUX region, is participating on the National Traffic Science Congress, held on 31st October and 1st November 2018 in Conference Center in ‘s-Hertogenbosch, Netherlands.
During the congress on November 1st, Mr. Tim Adema, the head of the Traffic & Transport cluster in Roelofs, will give a lecture on the Traffic Research and will discuss the use of drones and advanced software analytics in traffic surveys. The topic to the discussion is also what are the main advantages of drones in traffic surveys over the traditional methods.
Do not miss the lecture Traffic research 2.0: Thursday 1 November 15:40 and find out more about the innovative approach of the traffic surveys using drones and DataFromSky software!
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.