Open AccessSimulating the effect of cognitive load on braking responses in lead vehicle braking scenarios
Author(s) -
Engström Johan,
Markkula Gustav,
Xue Qingwan,
Merat Natasha
Publication year - 2018
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2017.0233
Subject(s) - automotive engineering , dynamic braking , engine braking , braking system , computer science , engineering , retarder , brake
The recently proposed cognitive control hypothesis suggests that the performance of cognitively loading but non‐visual tasks such as cell phone conversation selectively impairs driving tasks that rely on top‐down cognitive control while leaving automatised driving tasks unaffected. This idea is strongly supported by the existing experimental literature and the authors have previously outlined a conceptual model to account for the key underlying mechanisms. The present paper presents a mechanistically explicit account of the cognitive control hypothesis in terms of a computational simulation model. More specifically, it is shown how this model offers a straightforward explanation for why the effect of cognitive load on brake response time reported in the experimental lead vehicle (LV) braking studies depends strongly on scenario kinematics, more specifically the initial time headway. It is demonstrated that this relatively simple model can be fitted to empirical data obtained from an existing meta‐analysis on existing LV braking studies.