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Lane Change Prediction Using an Echo State Network

  • Karoline Griesbach
  • Karl Heinz HoffmannEmail author
  • Matthias BeggiatoEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 903)

Abstract

Lane change prediction can reduce accidents and increase the traffic flow. An Echo State Network is implemented for the prediction of left lane changes in an urban area. The Echo State Network has three input variables: turn signal, head rotation in y-direction and steering angle. The input variables were generated from a Naturalistic Driving study in the urban area of Chemnitz, Germany. A successful prediction for left mandatory and discretionary lane changes was realized.

Keywords

Echo state network Lane change Predictions Naturalistic driving study 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Chemnitz University of TechnologyChemnitzGermany

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