Design and Evaluation of an Advanced Driver Assistance System: The Case of Auto-Adaptive Cruise Control

This article is from a special issue that includes contributions dealing with human factors within a large research action (ARCOS: Research Action on Safe Driving). The ARCOS main objective was the exploration of the meeting between driver needs and technical devices capable of maintaining the vehicle trajectory within a safe envelope. In this article, the authors analyze the cooperation between drivers and two simulated Auto-Adaptive Cruise Control (AACC1 and AACC2), with and without early warning function. These devices are able to adapt themselves automatically to driving style and to the environment. The AACC1 was presumed to have better know-how (KH) and know-how-to-cooperate (KHC) than AACC2; both were presumed to have better KH and KHC than conventional adaptive cruise control (ACC). The results of an experiment using a driving simulator showed that the improvements in KH and KHC had no influence on the subjective assessments of cooperation and workload, and just a slight positive effect on drivers' cooperative behavior. Further results showed that the more experience the driver had using an ACC, the less the perceived workload was, the more the driver cooperated, and the better his or her assessments of the cooperation were.

  • Supplemental Notes:
    • Special Issue: Car-Driving Assistance for Safety.
  • Authors:
    • Ricot, N
    • Rajaonah, B
    • Popieul, J-C
    • Millot, P
  • Publication Date: 2006-4

Language

  • English

Media Info

  • Media Type: Print
  • Features: References;
  • Pagination: pp 129-152
  • Serial:
    • Travail Humain
    • Volume: 69
    • Issue Number: 2
    • Publisher: Presses Universitaires de France

Subject/Index Terms

Filing Info

  • Accession Number: 01054680
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jul 31 2007 7:23AM