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Titel:

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

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Vortrag / Präsentation
Autor(en):
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...     »
Stichworte:
Automated vehicles, Machine learning, Tactical behavior
Herausgeber:
IEEE Xplore Digital Library
Kongress- / Buchtitel:
5th IEEE International Conference on MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS
Datum der Konferenz:
26-28 June 2017
Jahr:
2017
Reviewed:
ja
TUM Einrichtung:
Lehrstuhl für Verkehrstechnik
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