A simulator evaluation of effects of assistive technologies on driver cognitive load at railway level crossings

Larue, Gregoire S., Rakotonirainy, Andry, & Haworth, Narelle L. (2016) A simulator evaluation of effects of assistive technologies on driver cognitive load at railway level crossings. Journal of Transportation Safety & Security, 8(Supplement 1), pp. 56-69.

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Intelligent Transport Systems (ITS) have the potential to substantially reduce the number of crashes caused by human errors at railway levels crossings. However, such systems could overwhelm drivers, generate different types of driver errors and have negative effects on safety at level crossing. The literature shows an increasing interest for new ITS for increasing driver situational awareness at level crossings, as well as evaluations of such new systems on compliance. To our knowledge, the potential negative effects of such technologies have not been comprehensively evaluated yet. This study aimed at assessing the effect of different ITS interventions, designed to enhance driver behaviour at railway crossings, on driver’s cognitive loads. Fifty eight participants took part in a driving simulator study in which three ITS devices were tested: an in-vehicle visual ITS, an in-vehicle audio ITS, and an on-road valet system. Driver cognitive load was objectively and subjectively assessed for each ITS intervention. Objective data were collected from a heart rate monitor and an eye tracker, while subjective data was collected with the NASA-TLX questionnaire. Overall, results indicated that the three trialled technologies did not result in significant changes in cognitive load while approaching crossings.

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ID Code: 84729
Item Type: Journal Article
Refereed: Yes
Additional Information: Special Issue: Railroad Safety Special Issue
Additional URLs:
Keywords: Intelligent Transport Systems (ITS), Railway level crossings (RLX), Driving simulator, Driver cognitive load
DOI: 10.1080/19439962.2015.1055413
ISSN: 1943-9970
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AUTOMOTIVE ENGINEERING (090200)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMMUNICATIONS TECHNOLOGIES (100500)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700)
Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > COGNITIVE SCIENCE (170200)
Divisions: Current > Research Centres > Centre for Accident Research & Road Safety - Qld (CARRS-Q)
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2015 Taylor & Francis
Deposited On: 11 Jun 2015 22:51
Last Modified: 25 Jun 2017 03:00

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