The influence of time headway on subjective driver states in adaptive cruise control
Research output: Journal contributions › Journal articles › Research › peer-review
Authors
There is no agreement on the relation between driving parameters and drivers' subjective states. A linear as well as a threshold relationship for different subjective variables and driving parameters has been put forward. In this study we investigate the relationship between time headway and the ratings of risk, task difficulty, effort, and comfort. Knowledge about this interrelation may advance the development of adaptive cruise control and autonomous driving and can add to the discussion about driver behavior models. An earlier study (Lewis-Evans, De Waard, & Brookhuis, 2010) found a threshold effect for drivers' ratings of subjective variables for time headways between 0.5 and 4.0 s at a speed of 50 km/h. This study aims to replicate the threshold effect and to expand the findings to time headways at different speeds. A new measure for criticality was added as a categorical variable, indicating the controllability of a driving situation to give indications for the appliance of time headway in adaptive cruise control systems. Participants drove 24 short routes in a driving simulator with predefined speed and time headway to a leading vehicle. Time headway was varied eightfold (0.5-4 s in 0.5 s increments) and speed was varied threefold (50, 100, 150 km/h). A threshold effect for the ratings of risk, task difficulty, effort, and comfort was found for all three different speeds. Criticality proved to be a useful variable in assessing the preferred time headway of drivers.
Original language | English |
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Journal | Transportation Research Part F: Traffic Psychology and Behaviour |
Volume | 25 |
Issue number | A |
Pages (from-to) | 65-73 |
Number of pages | 9 |
ISSN | 1369-8478 |
DOIs | |
Publication status | Published - 07.2014 |
- Business psychology - Adaptive cruise control, Criticality, Driver behavior modeling, Time headway
- Psychology
- Engineering