A Personalized Human Drivers' Risk Sensitive Characteristics Depicting Stochastic Optimal Control Algorithm for Adaptive Cruise Control

This paper presents a personalized stochastic optimal adaptive cruise control (ACC) algorithm for automated vehicles (AVs) incorporating human drivers' risk-sensitivity under system and measurement uncertainties. The proposed controller is designed as a linear exponential-of-quadratic Gaussian...

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Bibliographic Details
Published in:	IEEE access Vol. 8; p. 1
Main Authors:	Jiang, Jiwan, Ding, Fan, Zhou, Yang, Wu, Jiaming, Tan, Huachun
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Acceleration Adaptive algorithms Adaptive control Adaptive cruise control Automatic control Car following Control algorithms Control systems design Control theory Cost function Cruise control Customization Deviation Drivers driving sensitive characteristic expensive control Heterogeneity linear exponential-of-quadratic Gaussian Optimal control Parameter sensitivity stochastic optimal control algorithm Trajectory control Uncertainty Vehicles
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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