New concept of future Berlin streets with DataFromSky Light

How to deal with busy streets in the center of Berlin? Buses, trams, cars, cyclists, pedestrians can be seen everywhere moving without any rules. Is it possible to build car-free, bicycle-friendly & human-oriented city? Macromedia University of Applied Science in Berlin did concentrate on this issue as a part of Master Course Smart City Design and DataFromSky played a key role in the process of analysis of traffic and behavioral patterns and creating proposals for design changes!

How was the whole concept proceed?
Different groups of objects have been defined at the beginning of the analysis. Then a video of chosen intersection or street was taken and analyzed by DataFromSky software. Based on these data new concept of the intersection/street was designed.

Students have chosen different places around Berlin for the analysis. We have decided to choose 3 of them as a Use Case of our DataFromSky Light service.

Crossing Redesign Analysis and Concept
This analysis was done for an Intersection of Köpenicker Straße and Manteuffelstraße. Video from this intersection was analyzed by DataFromSky to get number of objects. Based on obtained data new concept of the people-oriented street was designed. New concept includes 2-Way Bike lane with limited speed, lines for cars & buses with slowing elements and giant crosswalk in the middle of the intersection with light signalization that helps to manage the flow of all participants.
Situation before and after, Author: Anja Lüttmann

Car-Free & Bicycle-Friendly & Human-oriented place
One of the analysis was focused on the heavy used intersection of Kurfürstendamm and Joachimsthaler Straße nearby Berlin city center. The aim of this analysis was to design car-free, bicycle-friendly & human-oriented place. Thanks to DataFromSky software most common vehicle, bicycle paths and pedestrians movements were identified and based on these data new concept of car-free place was designed. See the analysis output below:


Authors: Bensu Ece Tugyan — Tugan Can Tureli

Car-free Concept
Aim of this analysis was to analyze and design new car-free concept of Bergmanstrasse in Bergmannkiez. The objects (such as Cars, Bicycles and Motorcycles) were analyzed by DataFromSky software – counted, analyzed the trajectories, behavior patterns etc. Based on this analysis new concept of street lanes were defined. See a proposed design below:
Author: Alicia Baeck

Read the whole article from Berlin Macromedia School here.

Do you want to use DataFromSky and analyze the traffic in your city?
Thanks to DataFromSky Light you can get:
        – Origin-destination matrix, turn-movements
        – gate counting
        – trajectories
        – stationary time
        – recognition of colors of objects
        – object classification, up to 16 categories in total
        – various export options (Excel, CSV, visualizations)
        – …and much more!
Try it now on your own videos – register here.

In case it is not enough for you, try our DataFromSky Aerial service that can provide complete and detailed telemetry data about each traffic participant:
        – complete object trajectories (time, position, speed, acceleration in coordinate system UTM or WGS84)
        – classification of all objects into 7 main categories (including bicycles and pedestrians)
        – vehicle counts via configurable counting gates
        – detailed OD matrix and turning movements count in defined directions
        – speed and acceleration anywhere in the scene, heatmaps
        – lane assignment
        – measurement of critical headway (gap) and follow-up headway, capacity estimation
        – safety analysis (Time to collision measurement, PET, Heavy breaking), see a video
        – many other advanced features!

Do you want to use DataFromSky software or do you have any questions? Do not hesitate to contact us!

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Modelling of the tactical behavior of cyclists

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.

dfs news snap
Traffic flow based on trajectries: green – cars, red – cyclists, blue – pedestrians

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Motorcycle traffic monitoring and interaction research

Every now and then, an unique and interesting use case for DataFromSky comes up. The Department of Transportation Planning and Engineering at National Technical University of Athens is planning to use DataFromSky for traffic monitoring – to study interactions between powered two-wheelers (PTW) and other vehicles. They have already published a number of papers, dealing with powered two-wheelers’ overtaking in context of game theory or modelling based on multivariate statistics [1][2].

The smaller size of PTWs makes it possible to keep moving and overtaking even in conditions where cars are immobilized. In some countries, PTWs are either a dominant form of traffic, or take up a large share. Given these facts, there is a lot of opportunities to build a better understanding of their interactions – and hopefully also safety in these situations.

Below is a short video which we analyzed as a demonstration for the Greek scientists.

[vimeo id=”137738139″ autoplay=”no” maxwidth=”600″]

[1] Barmpounakis, Emmanouil N., Eleni I. Vlahogianni, and John C. Golias (2015). “A Game Theoretic Approach to Powered Two Wheelers Overtaking Phenomena.” Transportation Research Board 94th Annual Meeting. No. 15-1425

[2] Barmpounakis, E.N., Vlahogianni, E.I., & Golias, J.C. (2016). Intelligent Transportation Systems and Powered Two Wheelers Traffic, IEEE Transactions on Intelligent Transportation Systems, 17(4), 908-916.

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