Berlin 2018 – wissenschaftliches Programm

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 7: Poster

SOE 7.4: Poster

Montag, 12. März 2018, 17:00–20:00, Poster E

Lane Change Prediction in an Urban Area — •Karoline Griesbach and Karl Heinz Hoffmann — Institute of Physics Technische Universität Chemnitz, D-09107 Chemnitz, +49 371 531 35456

The prediction of the lane change and its integration in advanced driving assistance systems can reduce traffic accidents. A machine learning algorithm for lane change prediction will be discussed. The algorithm was implemented with different input variables which belong to driver attributes and vehicle attributes. The input data was provided by a naturalistic driving study and divided into a training set and a validation set. The results show that the distinction between lane change and no lane change patterns is possible.