Task-difficulty homeostasis in car following models: Experimental validation using self-paced visual occlusion
No Thumbnail Available
Access rights
openAccess
URL
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2017-01-01
Department
Major/Subject
Mcode
Degree programme
Language
en
Pages
Series
PloS one, Volume 12, issue 1
Abstract
Car following (CF) models used in traffic engineering are often criticized for not incorporating "human factors" well known to affect driving. Some recent work has addressed this by augmenting the CF models with the Task-Capability Interface (TCI) model, by dynamically changing driving parameters as function of driver capability. We examined assumptions of these models experimentally using a self-paced visual occlusion paradigm in a simulated car following task. The results show strong, approximately one-to-one, correspondence between occlusion duration and increase in time headway. The correspondence was found between subjects and within subjects, on aggregate and individual sample level. The long time scale aggregate results support TCI-CF models that assume a linear increase in time headway in response to increased distraction. The short time scale individual sample level results suggest that drivers also adapt their visual sampling in response to transient changes in time headway, a mechanism which isn't incorporated in the current models.Description
Keywords
Other note
Citation
Pekkanen, J, Lappi, O, Itkonen, T H & Summala, H 2017, ' Task-difficulty homeostasis in car following models : Experimental validation using self-paced visual occlusion ', PloS one, vol. 12, no. 1, e0169704 . https://doi.org/10.1371/journal.pone.0169704