Integrating driving and traffic simulators to study railway level crossing safety interventions : a methodology

Larue, Gregoire S., Kim, Inhi, Rakotonirainy, Andry, Ferreira, Luis, & Haworth, Narelle L. (2012) Integrating driving and traffic simulators to study railway level crossing safety interventions : a methodology. In Computers in Railways XIII : Computer System Design and Operation in the Railway and Other Transit Systems, WIT Press, pp. 719-732.

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Safety at Railway Level Crossings (RLXs) is an important issue within the Australian transport system. Crashes at RLXs involving road vehicles in Australia are estimated to cost $10 million each year. Such crashes are mainly due to human factors; unintentional errors contribute to 46% of all fatal collisions and are far more common than deliberate violations. This suggests that innovative intervention targeting drivers are particularly promising to improve RLX safety. In recent years there has been a rapid development of a variety of affordable technologies which can be used to increase driver’s risk awareness around crossings. To date, no research has evaluated the potential effects of such technologies at RLXs in terms of safety, traffic and acceptance of the technology. Integrating driving and traffic simulations is a safe and affordable approach for evaluating these effects. This methodology will be implemented in a driving simulator, where we recreated realistic driving scenario with typical road environments and realistic traffic. This paper presents a methodology for evaluating comprehensively potential benefits and negative effects of such interventions: this methodology evaluates driver awareness at RLXs , driver distraction and workload when using the technology . Subjective assessment on perceived usefulness and ease of use of the technology is obtained from standard questionnaires. Driving simulation will provide a model of driving behaviour at RLXs which will be used to estimate the effects of such new technology on a road network featuring RLX for different market penetrations using a traffic simulation. This methodology can assist in evaluating future safety interventions at RLXs.

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2 citations in Scopus
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ID Code: 53703
Item Type: Conference Paper
Refereed: Yes
Keywords: Railway Level Crossings, Intelligent Transport Systems, Driving and traffic simulations
DOI: 10.2495/CR120611
ISBN: 9781845646172
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AUTOMOTIVE ENGINEERING (090200) > Automotive Safety Engineering (090204)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMMUNICATIONS TECHNOLOGIES (100500)
Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > PSYCHOLOGY (170100)
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
Current > Schools > School of Psychology & Counselling
Copyright Owner: Copyright 2012 (Please consult the authors).
Deposited On: 19 Sep 2012 04:57
Last Modified: 05 Mar 2013 14:57

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