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Modeling of Driver's Longitudinal Behavior

Bengtsson, Johan LU ; Johansson, Rolf LU and Sjögren, Agneta (2003) p.41-58
Abstract
In the last years, many vehicle manufacturers have introduced advancedriver support in some of their automobiles. One of those new featuresis Adaptive Cruise Control (ACC), which extends the conventionalcruise control system to control of relative speed and distance toother vehicles. In order to design an ACC controller it is suitable tohave a model on drivers' behavior. Our approach to find dynamicalmodels of the drivers' behavior was to use system identification.Basic data analysis was made by means of system identificationmethodology, and several models of drivers' longitudinal behavior areproposed, including both linear regression models and subspace basedmodels. Detection when a driver is changing his behavior in varioussituations to... (More)
In the last years, many vehicle manufacturers have introduced advancedriver support in some of their automobiles. One of those new featuresis Adaptive Cruise Control (ACC), which extends the conventionalcruise control system to control of relative speed and distance toother vehicles. In order to design an ACC controller it is suitable tohave a model on drivers' behavior. Our approach to find dynamicalmodels of the drivers' behavior was to use system identification.Basic data analysis was made by means of system identificationmethodology, and several models of drivers' longitudinal behavior areproposed, including both linear regression models and subspace basedmodels. Detection when a driver is changing his behavior in varioussituations to a deviant behavior is useful. To that purpose a GARCHmodel was used to model the driver in arousal situations, where thedriver changes behavior, is proposed. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Nonlinear and Hybrid Systems in Automotive Control
editor
Johansson, Rolf ; Rantzer, Anders ; and
pages
41 - 58
publisher
Society of Automotive Engineers
ISBN
076801137X
project
Adaptive Cruise Control and Driver Models
language
English
LU publication?
yes
id
d3e13cd0-d2a0-4773-87a3-7c1cb24c51cb (old id 537568)
date added to LUP
2016-04-04 11:16:41
date last changed
2019-11-26 02:27:52
@inbook{d3e13cd0-d2a0-4773-87a3-7c1cb24c51cb,
  abstract     = {In the last years, many vehicle manufacturers have introduced advancedriver support in some of their automobiles. One of those new featuresis Adaptive Cruise Control (ACC), which extends the conventionalcruise control system to control of relative speed and distance toother vehicles. In order to design an ACC controller it is suitable tohave a model on drivers' behavior. Our approach to find dynamicalmodels of the drivers' behavior was to use system identification.Basic data analysis was made by means of system identificationmethodology, and several models of drivers' longitudinal behavior areproposed, including both linear regression models and subspace basedmodels. Detection when a driver is changing his behavior in varioussituations to a deviant behavior is useful. To that purpose a GARCHmodel was used to model the driver in arousal situations, where thedriver changes behavior, is proposed.},
  author       = {Bengtsson, Johan and Johansson, Rolf and Sjögren, Agneta},
  booktitle    = {Nonlinear and Hybrid Systems in Automotive Control},
  editor       = {Johansson, Rolf and Rantzer, Anders},
  isbn         = {076801137X},
  language     = {eng},
  pages        = {41--58},
  publisher    = {Society of Automotive Engineers},
  title        = {Modeling of Driver's Longitudinal Behavior},
  year         = {2003},
}