Dresden 2014 – wissenschaftliches Programm

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 22: Traffic Dynamics, Urban and Regional Systems II

SOE 22.1: Vortrag

Freitag, 4. April 2014, 10:00–10:15, GÖR 229

Prediction of lane changes with a mathematical model using steering wheel angle — •Kim Schmidt, Matthias Beggiato, Karl Heinz Hoffmann, and Josef F. Krems — Technische Universität Chemnitz, Chemnitz, Deutschland

Advanced driver assistance systems aim at increasing driving safety. However, positive safety impact can only take effect if drivers accept and use these systems. If too many false alarms occur, the systems are switched off and the potential gain in safety gets lost. Early detection of driver's intention would allow a selective activation of these assistance systems. A present driving simulator study aims at exploring early predictors of lane changes. In total, 3,111 lane changes of fifty-one participants, which drove the same highway track in a fixed-base driving simulator, were analyzed. Results show that drivers stopped their engagement in the secondary task about 7 seconds before crossing the lane, which indicates a first planning phase of the maneuver. Subsequently, drivers start moving towards the lane marking with a mean steering wheel angle of 2.5 degrees. Steering wheel angle as a directly measurable vehicle parameter appears as promising early predictor of a lane change. A mathematical model of the steering wheel angle is presented for lane change. This model is supposed to contribute for predicting lane change maneuvers.