Optimal Control of Overtaking Maneuver for Intelligent Vehicles
Joint Authors
Gáspár, Péter
Németh, Balázs
Hegedűs, Tamás
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In the paper a hierarchical overtaking strategy, which is a driver assistance function or rather an autonomous function in electric/autonomous vehicles, is proposed.
The solution uses speed and acceleration signals from the surrounding vehicles.
These signals are processed with clustering methods in order to achieve probability density functions and predict their expected motion.
The strategy includes several additional layers, such as decision making concerning the maneuver, the computation of the required trajectory, and the tracking control of the vehicle.
Trajectory generation is formed as an optimization task, which is able to include the prediction model of the surrounding vehicles in the constraints.
A robust Linear Parameter Varying (LPV) control design method is proposed to guarantee the tracking of the computed reference.
The proposed strategy is able to guarantee the safe motion of the vehicles and handle the interactions with the other traffic participants.
American Psychological Association (APA)
Németh, Balázs& Gáspár, Péter& Hegedűs, Tamás. 2018. Optimal Control of Overtaking Maneuver for Intelligent Vehicles. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1181039
Modern Language Association (MLA)
Németh, Balázs…[et al.]. Optimal Control of Overtaking Maneuver for Intelligent Vehicles. Journal of Advanced Transportation No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1181039
American Medical Association (AMA)
Németh, Balázs& Gáspár, Péter& Hegedűs, Tamás. Optimal Control of Overtaking Maneuver for Intelligent Vehicles. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1181039
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181039