An Analytical Driver Model for Arbitrary Path Following at Varying Vehicle Speed

A simple artificial neural network analytical driver model is presented in this paper. There can be analytical calculations of driver model parameters based on the error elimination algorithm and preview-follower theory. All driver parameters are fitted as vehicle speed functions in order for driver model application scope extension, and a preview point searching algorithm is proposed to enable the driver model to follow a ground coordinate defined designated path. The suitability of the proposed driver model for arbitrary path following at varying vehicle speed is indicated by driver/vehicle closed-loop simulations.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/50135871
• Authors:
  • Ding, Haitao
  • Guo, Konghui
  • Wan, Fang
  • Cao, Jianyong
  • Tian, Yang
• Publication Date: 2007

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 204-218
• Serial:
  • International Journal of Vehicle Autonomous Systems
  • Volume: 5
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1471-0226
  • Serial URL: http://www.inderscience.com/jhome.php?jcode=ijvas

Subject/Index Terms

• TRT Terms: Algorithms; Neural networks; Speed
• Uncontrolled Terms: Analytical models; Arbitrary paths; Driver models; Variances
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01089607
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 29 2008 9:14AM