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Document type:
Konferenzbeitrag 
Contribution type:
Vortrag / Präsentation 
Author(s):
Motamedidehkordi, N., Amini, S., Hoffmann, S., Busch, F., Riziki Fitriyanti, M. 
Title:
Modeling Tactical Lane-change Behavior for Automated Vehicles: A Supervised Machine Learning Approach 
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