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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.


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

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Traffic Behavior and Safety study in Denmark

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.

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