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Title:

Modeling Tactical Lane-change Behavior for Automated Vehicles: A Supervised Machine Learning Approach

Document type:
Konferenzbeitrag
Contribution type:
Vortrag / Präsentation
Author(s):
Motamedidehkordi, N., Amini, S., Hoffmann, S., Busch, F., Riziki Fitriyanti, M.
Abstract:
In recent years, due to growing interest in automated driving, the need for better understanding the humans driving behavior, and particularly the lane changing and car following behavior, has further increased. Despite its great importance, lane changing has not been studied as extensively as longitudinal behavior and remains one of the most challenging driving behavior maneuvers to understand and to predict. Drivers take into account many factors while making a tactical decision, which cannot...     »
Keywords:
Automated vehicles, Machine learning, Tactical behavior
Editor:
IEEE Xplore Digital Library
Book / Congress title:
5th IEEE International Conference on MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS
Date of congress:
26-28 June 2017
Year:
2017
Reviewed:
ja
TUM Institution:
Lehrstuhl für Verkehrstechnik
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