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Adaptive Cruise Control and Driver Modeling

Bengtsson, Johan LU (2001)
Abstract
Many vehicle manufacturers have lately introduced advance driver support in some of their automobiles. One of those new features is Adaptive Cruise Control DACCE, which extends the conventional cruise control system to control of relative speed and distance to other vehicles. In order to design an ACC controller it is suitable to have a model of driver behavior. The approach in the thesis is to use system identification methodology to obtain dynamic models of driver behavior useful for ACC applications. Experiment with seven drivers participating in different traffic situations were performed both on public road and on a test track. Data analysis was made by means of system identification methodology, several models of drivers longitudinal... (More)
Many vehicle manufacturers have lately introduced advance driver support in some of their automobiles. One of those new features is Adaptive Cruise Control DACCE, which extends the conventional cruise control system to control of relative speed and distance to other vehicles. In order to design an ACC controller it is suitable to have a model of driver behavior. The approach in the thesis is to use system identification methodology to obtain dynamic models of driver behavior useful for ACC applications. Experiment with seven drivers participating in different traffic situations were performed both on public road and on a test track. Data analysis was made by means of system identification methodology, several models of drivers longitudinal behavior being proposed, including linear regression models, subspacebased models and behavioral models. The thesis also deals with detection of when a driver is changing his behavior in various situations to a deviant behavior. To that purpose, a GARCH model was used to model the driver in situations with timevarying behavior. (Less)
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author
organization
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Thesis
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published
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publisher
Department of Automatic Control, Lund Institute of Technology (LTH)
language
English
LU publication?
yes
id
938f04a6-b029-4e0a-8063-fc2f00838da1 (old id 8084504)
date added to LUP
2015-10-25 10:02:00
date last changed
2016-09-19 08:44:52
@misc{938f04a6-b029-4e0a-8063-fc2f00838da1,
  abstract     = {Many vehicle manufacturers have lately introduced advance driver support in some of their automobiles. One of those new features is Adaptive Cruise Control DACCE, which extends the conventional cruise control system to control of relative speed and distance to other vehicles. In order to design an ACC controller it is suitable to have a model of driver behavior. The approach in the thesis is to use system identification methodology to obtain dynamic models of driver behavior useful for ACC applications. Experiment with seven drivers participating in different traffic situations were performed both on public road and on a test track. Data analysis was made by means of system identification methodology, several models of drivers longitudinal behavior being proposed, including linear regression models, subspacebased models and behavioral models. The thesis also deals with detection of when a driver is changing his behavior in various situations to a deviant behavior. To that purpose, a GARCH model was used to model the driver in situations with timevarying behavior.},
  author       = {Bengtsson, Johan},
  language     = {eng},
  note         = {Licentiate Thesis},
  publisher    = {Department of Automatic Control, Lund Institute of Technology (LTH)},
  title        = {Adaptive Cruise Control and Driver Modeling},
  year         = {2001},
}