Modeling of Drivers' Longitudinal Behavior
(2001) 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics p.41-58- Abstract
- In the last few years, many vehicle manufacturers have introduced advance driver support in some of their automobiles. One of those new features is adaptive cruise control (ACC), 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 drivers' behavior. Our approach to find dynamical models of the drivers' behavior was to use system identification. Basic data analysis is made by means of system identification methodology, and several models of drivers' longitudinal behavior are proposed, including both linear regression models and subspace-based models. In various situations, detection for when a driver's... (More)
- In the last few years, many vehicle manufacturers have introduced advance driver support in some of their automobiles. One of those new features is adaptive cruise control (ACC), 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 drivers' behavior. Our approach to find dynamical models of the drivers' behavior was to use system identification. Basic data analysis is made by means of system identification methodology, and several models of drivers' longitudinal behavior are proposed, including both linear regression models and subspace-based models. In various situations, detection for when a driver's behavior changes or deviates from the normal is useful. To that purpose, a GARCH (generalized autoregressive conditional heteroskedasticity) model was used to model the driver in situations such as arousal. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1406939
- author
- Bengtsson, Johan LU ; Johansson, Rolf LU and Sjögren, Agneta
- organization
- publishing date
- 2001
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Nonlinear and Hybrid Systems in Automotive Control
- pages
- 41 - 58
- publisher
- Springer
- conference name
- 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics
- conference location
- Como, Italy
- conference dates
- 2001-07-08
- external identifiers
-
- wos:000179875900003
- scopus:0034858377
- DOI
- 10.1109/AIM.2001.936845
- language
- English
- LU publication?
- yes
- id
- ce6e3280-950e-4670-9a7b-438d518d0ecc (old id 1406939)
- date added to LUP
- 2016-04-04 11:43:24
- date last changed
- 2022-06-22 16:13:40
@inproceedings{ce6e3280-950e-4670-9a7b-438d518d0ecc, abstract = {{In the last few years, many vehicle manufacturers have introduced advance driver support in some of their automobiles. One of those new features is adaptive cruise control (ACC), 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 drivers' behavior. Our approach to find dynamical models of the drivers' behavior was to use system identification. Basic data analysis is made by means of system identification methodology, and several models of drivers' longitudinal behavior are proposed, including both linear regression models and subspace-based models. In various situations, detection for when a driver's behavior changes or deviates from the normal is useful. To that purpose, a GARCH (generalized autoregressive conditional heteroskedasticity) model was used to model the driver in situations such as arousal.}}, author = {{Bengtsson, Johan and Johansson, Rolf and Sjögren, Agneta}}, booktitle = {{Nonlinear and Hybrid Systems in Automotive Control}}, language = {{eng}}, pages = {{41--58}}, publisher = {{Springer}}, title = {{Modeling of Drivers' Longitudinal Behavior}}, url = {{https://lup.lub.lu.se/search/files/5840012/5142467.pdf}}, doi = {{10.1109/AIM.2001.936845}}, year = {{2001}}, }