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Data Mining and Machine Learning for Modeling
Driving Behavior
Automated vehicles are still in the development phase. Our team develops solutions for
highly automated vehicles. These solutions are based on driver models generated by data
mining and machine learning algorithms that transform massive amounts of vehicle
trajectories into descriptive knowledge about the drivers’ behavior and their interactions
with other road users. This will help automated vehicles better estimate the actions of
human drivers and drive more safely.
For this reason, the videos has been recorded from real traffic and the trajectories of
individual traffic users has been extracted. Your task would be coming up with an
algorithm which can change the data to a model that describes the drivers‘ behavior.
Data
Descriptive
Model
Machine
learning
algorithm
10 %
80 %
20 %
automated
vehicle
Requirements:
• Interest in development of automated vehicles
• Experience in both the theory and practice of machine learning, data mining,
algorithms, statistical and pattern recognition.
• Strong programming skills
• Dedicated, systematic and self dependant work attitude
If you have any further questions regarding this project, feel free to contact me.
[email protected] , 089 28922665
Lehrstuhl für Verkehrstechnik
Univ.-Prof. Dr.-Ing. Fritz Busch