Task-difficulty homeostasis in car following models: Experimental validation using self-paced visual occlusion

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

  • University of Helsinki

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.

Details

Original languageEnglish
Article numbere0169704
JournalPloS one
Volume12
Issue number1
Publication statusPublished - 1 Jan 2017
MoE publication typeA1 Journal article-refereed

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