Modelling driver behaviour towards innovative warning devices at railway level crossings

Tey, Li-Sian, Wallis, Guy, Cloete, Steven and Ferreira, Luis (2013) Modelling driver behaviour towards innovative warning devices at railway level crossings. Accident Analysis and Prevention, 51 104-111. doi:10.1016/j.aap.2012.11.002

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Author Tey, Li-Sian
Wallis, Guy
Cloete, Steven
Ferreira, Luis
Title Modelling driver behaviour towards innovative warning devices at railway level crossings
Journal name Accident Analysis and Prevention   Check publisher's open access policy
ISSN 0001-4575
Publication date 2013-03-01
Year available 2012
Sub-type Article (original research)
DOI 10.1016/j.aap.2012.11.002
Open Access Status Not yet assessed
Volume 51
Start page 104
End page 111
Total pages 8
Place of publication Oxford, United Kingdom
Publisher Elsevier
Language eng
Subject 2739 Public Health, Environmental and Occupational Health
2213 Safety, Risk, Reliability and Quality
3307 Human Factors and Ergonomics
3308 Law
2700 Medicine
Abstract Improving safety at railway level crossings is costly and as funds are often limited, it is important to search for cost-effective, evidence-based solutions. The effect that the many existing alternative systems have on driver behaviour is not always known. This paper compares driver behaviour towards two novel warning devices (rumble strips and in-vehicle audio warning) at railway level crossings with two conventional warning devices (flashing light and stop sign). Regression models were developed to reflect driver's responses towards the four different types of devices based on data collected from a driving simulation experiment. The regression models include a binary choice model for predicting the probability of a driver stopping or driving through a railway crossing, as well as mixed regression models for predicting the moment at which a driver will produce specific behavioural responses before stopping at a crossing (e.g. initiation of accelerator release and application of foot-pedal brake). Violation results indicated the active systems produced much higher levels of driver compliance than passive devices. Contributing factors, such as age, gender, speed and types of warning devices were found significant at different approach stages to the level crossings. With the application of such behavioural models and traffic conflict techniques in microscopic simulation tools, traffic safety indicators, such as collision likelihood and time-to-collision can be estimated. From these, relative safety comparisons for the different traffic devices are derived.
Keyword Railway level crossing
Alternative warning systems
Driver behaviour
Safety evaluation
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Copyright © 2012 Elsevier Ltd. All rights reserved.

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Created: Wed, 16 Jan 2013, 19:52:31 EST by Julie Hunter on behalf of School of Civil Engineering