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Modeling of Drivers Longitudinal Behavior

Författare:
Publiceringsår: 2001
Språk: Engelska
Sidor: 1076-1081
Publikation/Tidskrift/Serie: Proceedings. 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.
Volym: 2
Dokumenttyp: Konferensbidrag
Förlag: IEEE

Sammanfattning

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.

Disputation

Nyckelord

  • Technology and Engineering
  • driver longitudinal behaviour
  • GARCH model
  • adaptive cruise control
  • subspace based models
  • system identification
  • behaviour model
  • linear regression models

Övriga

Published
  • ISBN: 0-7803-6736-7

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