An adaptive lateral preview driver model

Successful modelling and simulation of driver behaviour is important for the current industrial thrust of computer-based vehicle development. The main contribution of this paper is the development of an adaptive lateral preview human driver model. This driver model template has a few parameters that can be adjusted to simulate steering actions of human drivers with different driving styles. In other words, this model template can be used in the design process of vehicles and active safety systems to assess their performance under average drivers as well as atypical drivers. We assume that the drivers, regardless of their style, have driven the vehicle long enough to establish an accurate internal model of the vehicle. The proposed driver model is developed using the adaptive predictive control (APC) framework. Three key features are included in the APC framework: use of preview information, internal model identification and weight adjustment to simulate different driving styles. The driver uses predicted vehicle information in a future window to determine the optimal steering action. A tunable parameter is defined to assign relative importance of lateral displacement and yaw error in the cost function to be optimized. The model is tuned to fit three representative drivers obtained from driving simulator data taken from 22 human drivers. (A)

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00423114
• Authors:
  • UNGOREN, A Y
  • PENG, H
• Publication Date: 2005-4

Language

• English

Media Info

• Pagination: 245-59
• Serial:
  • Vehicle System Dynamics
  • Volume: 43
  • Issue Number: 4
  • Publisher: Taylor & Francis
  • ISSN: 0042-3114
  • EISSN: 1744-5159
  • Serial URL: https://www.tandfonline.com/toc/nvsd20/current

Subject/Index Terms

• TRT Terms: Active safety systems; Aptitude; Behavior; Drivers; Driving; Motor skills; Psychological adaptation; Scale models; Simulation; Steering
• ITRD Terms: 1462: Active safety system; 2208: Adaptation (psychol); 9001: Behaviour; 1772: Driver; 2226: Driving aptitude; 6205: Model (not math); 9103: Simulation; 2205: Skill (road user); 1834: Steering (process)
• Subject Areas: Bridges and other structures; Safety and Human Factors; I83: Accidents and the Human Factor; I85: Safety Devices used in Transport Infrastructure;

Filing Info

• Accession Number: 01013734
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD
• Created Date: Dec 22 2005 11:18AM