Projects per year
Abstract
Variation in longitudinal control in driving has been discussed in both traffic psychology and transportation engineering. Traffic psychologists have concerned themselves with “driving style”, a habitual form of behavior marked by it’s stability, and its basis in psychological traits. Those working in traffic microsimulation have searched for quantitative ways to represent different driver-car systems in car following models. There has been unfortunately little overlap or theoretical consistency between these literatures. Here, we investigated relationships between directly observable measures (time headway, acceleration and jerk) in a simulated driving task where the driving context, vehicle and environment were controlled. We found individual differences in the way a trade-off was made between close but jerky vs. far and smooth following behavior. We call these “intensive” and “calm” driving, and suggest this trade-off can serve as an indicator of a possible latent factor underlying driving style. We posit that pursuing such latent factors for driving style may have implications for modelling driver heterogeneity across various domains in traffic simulation.
Original language | English |
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Article number | e0185856 |
Journal | PLoS One |
Volume | 12 |
Issue number | 10 |
Number of pages | 19 |
ISSN | 1932-6203 |
DOIs | |
Publication status | Published - 17 Oct 2017 |
MoE publication type | A1 Journal article-refereed |
Fields of Science
- 6162 Cognitive science
Projects
- 1 Finished
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MULSIMCO: Multilevel Traffic Simulation with Cognitive Basis (Academy of Finland Research Project)
Summala, H., Lappi, O., Pekkanen, J., Tuhkanen, S., Rinkkala, P., Itkonen, T., Lehtonen, E. & Frantsi, R.
01/09/2014 → 31/08/2018
Project: Research project
Equipment
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TRUlab instrumented vehicles
Otto Lappi (Manager)
Department of Digital HumanitiesFacility/equipment: Equipment