Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Modeling of Driver's Longitudinal Behavior

Författare

Redaktör

  • Rolf Johansson
  • Anders Rantzer

Summary, in English

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.

Publiceringsår

2003

Språk

Engelska

Sidor

41-58

Publikation/Tidskrift/Serie

Nonlinear and Hybrid Systems in Automotive Control

Dokumenttyp

Del av eller Kapitel i bok

Förlag

Society of Automotive Engineers

Ämne

  • Control Engineering

Status

Published

Projekt

  • Adaptive Cruise Control and Driver Models

ISBN/ISSN/Övrigt

  • ISBN: 076801137X