Prolonged Heavy Vehicle Driving Performance: Analysis of Different Types of Following Manoeuvre

Abstract

This research note examines the effects of time driving on truck drivers' behavior in a range of different following maneuvers, and the relationship between speed and time headway in steady-state following. Three types of driving condition are included: normal, two-vehicle convoy, and unpredictable shift onset and duration. Results of the experiments were that drivers, when adjusting headway in most types of following maneuvers, take account of the probability of leading vehicle deceleration (adopting a longer headway when the possibility of such deceleration is relatively high), and of variations in ongoing capability (adopting a longer headway when capability is perceived as less than optimal). Results also indicate that drivers show a preference for a headway of about 70 feet, almost irrespective of their speed. These findings have been interpreted within the framework of a behavioral analysis of the task of driving. Implications for driver safety, selection, and training, and for driving practice are outlined. An evaluation of time headway as a measure of driver performance is presented, and some issues for future research are identified. In particular, it is suggested that much more emphasis could usefully be placed on the identification of those rewards which reinforce both safe and dangerous driving, with a view toward greater control of the driver's reward system.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1988
Accession Number
ADA198730

Entities

People

  • Raymond G. Fuller

Organizations

  • Trinity College Dublin

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accidents
  • Age Groups
  • Analysis Of Variance
  • Behavioral Sciences
  • Collisions
  • Data Science
  • Factor Analysis
  • Information Science
  • Maneuvers
  • Military Research
  • Psychology
  • Psychophysiology
  • Risk
  • Social Sciences
  • Statistical Analysis
  • Steady State
  • Time Intervals

Readers

  • Mathematical Modeling and Probability Theory.
  • Robotics and Automation.
  • Systems Analysis and Design