Driver Decision-Making Research in a Laboratory Simulation

  • R. Wade Allen
  • Stephen H. Schwartz
  • Henry R. Jex
Part of the NATO Conference Series book series (NATOCS, volume 1)


This paper reviews a simulation approach to the study of driver decision-making behavior. Tasks were set up with rewards and penalties applied as performance incentives. Simulation tasks were selected that would fit into a decision context and could be efficiently implemented. Familiar driving situations were chosen to give an interesting, motivating driving scenario and cover a range of decision-making situations. The tasks were programmed to occur randomly and repeatedly in a simulated continuous drive. Expected Value Theory was used both to set up task conditions and as a means for data analysis and interpretation. Both performance and decisionmaking behavior were measured. Decision-making behavior was consistent with an Expected Value decision-making model interpretation.


Subjective Probability Driving Situation National Highway Traffic Safety Driving Scenario Amber Light 
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Copyright information

© Plenum Press, New York 1976

Authors and Affiliations

  • R. Wade Allen
    • 1
  • Stephen H. Schwartz
    • 1
  • Henry R. Jex
    • 1
  1. 1.Systems Technology, Inc.HawthorneUSA

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