Evaluating Driver Behavior Toward Innovative Warning Devices at Railway Level Crossings Using a Driving Simulator

Tey, Li-Sian; Wallis, Guy; Cloete, Steven; Ferreira, Luis; Zhu, Sicong

doi:10.1080/19439962.2012.731028

Cited by 23 publications

(17 citation statements)

References 11 publications

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“…Various simulator studies have been conducted in order to evaluate the effect of lower cost interventions on driver behaviour, such as traffic lights (Lenne, RudinBrown, Navarro, Edquist, & Trotter, 2011), rumble strips and in-vehicle audio or visual systems Tey, Wallis, Cloete, Ferreira, & Zhu, 2012). Traffic signals at railway level crossings do not appear to offer any safety benefits over and above flashing red lights, and rumble strips seem to be effective in reducing approach speed but not compliance at passive crossings.…”

Section: Trials Of Its Interventions For Railway Crossingsmentioning

confidence: 99%

Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

Larue

Rakotonirainy

Haworth

et al. 2015

Transportation Research Part F: Traffic Psychology and Behaviou

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a b s t r a c tIntelligent Transport Systems (ITS) have the potential to substantially reduce the number of crashes caused by human errors at railway levels crossings. Such systems, however, will only exert an influence on driving behaviour if they are accepted by the driver. This study aimed at assessing driver acceptance of different ITS interventions designed to enhance driver behaviour at railway crossings. Fifty-eight participants, divided into three groups, 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 acceptance of each ITS intervention was assessed in a questionnaire guided by the Technology Acceptance Model and the Theory of Planned Behaviour. Overall, results indicated that the strongest intentions to use the ITS devices belonged to participants exposed to the road-based valet system at passive crossings. The utility of both models in explaining drivers' intention to use the systems is discussed, with results showing greater support for the Theory of Planned Behaviour. Directions for future studies, along with strategies that target attitudes and subjective norms to increase drivers' behavioural intentions, are also discussed.

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Section: Trials Of Its Interventions For Railway Crossingsmentioning

confidence: 99%

Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

Larue

Rakotonirainy

Haworth

et al. 2015

Transportation Research Part F: Traffic Psychology and Behaviou

View full text Add to dashboard Cite

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“…Every subject would encounter the VMSs six times and there were 342 samples that reflect the drivers' performances under VMS. The similar scale of sample sizes was also applied in the driving simulator experiments by previous simulator experiment designs [23,24]. All of the subjects were local drivers in Beijing, China, with at least one year of driving experience and at least 2500 kilometers annual driving distance.…”

Section: Participantsmentioning

confidence: 99%

Effectiveness of Variable Message Signs on Driving Behavior Based on a Driving Simulation Experiment

Yan

2014

Discrete Dynamics in Nature and Society

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Variable message signs (VMSs), as one of the important ITS devices, provide real-time traffic information of road network to drivers in order to improve route choice and relieve the traffic congestion. In this study, the effectiveness of VMS on driving behavior was tested based on a driving simulation experiment. A road network with three levels of VMS location to route-diverging intersection and three types of VMS information format was designed in a high fidelity driving simulator platform. Fifty-two subjects who were classified by driver age, gender, and vocation successfully completed this experiment. The experimental results showed that driver characteristics, VMS location, and information format profoundly influence driving behaviors. Based on the research findings, it is suggested that VMS would be positioned between 150 m and 200 m upstream of the diverging point to balance the VMS effects on traffic safety and operation and the graphic information VMS format is better than the format with text massage only. Hindawi Publishing Corporation

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“…Following on from previously published results 5,22 , the current paper delivers promising insights into how to integrate the outputs of a driving simulator and traffic simulations. The aim of this paper was to present a method to replicate findings from an expensive driving simulator using relatively cheap traffic simulations.…”

Section: Discussionmentioning

confidence: 89%

Integration of driving simulator and traffic simulation to analyse behaviour at railway crossings

Kim

Ferreira

Tey

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part F:

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The use of state-of-the-art technology to collect and analyse data has significantly improved the effectiveness of safety studies. Currently, despite the fact that there are many safety systems deployed at railway crossings, only limited research has been conducted to evaluate which of these systems is the most effective in terms of costs and safety. This paper demonstrates a way to evaluate safety at railway crossings using a twin-pronged approach: a driving simulator and traffic simulation software. A number of outputs have been observed from a driving simulator, such as driver compliance rate, vehicle speed profile, acceleration profile, initial braking position and final braking position. The compliance percentage at passive crossings (67 and 72% for a stop sign and rumble strips, respectively) has lower compliance rates compared with active crossings (97 and 93% for flashing red light and in-vehicle audible warning, respectively) at an 80 km/h approach speed. Using a statistical analysis it is shown that speed and acceleration profiles can be used to differentiate the effectiveness of active and passive crossings. These indicators are interpreted and used as input to a traffic simulation, which assists in determining which safety device is more efficient. By integrating driving simulator and traffic simulation models, this approach can be applied to evaluate and compare safety performance without the need to install costly test beds at real railway crossings.

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Evaluating Driver Behavior Toward Innovative Warning Devices at Railway Level Crossings Using a Driving Simulator

Cited by 23 publications

References 11 publications

Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

Effectiveness of Variable Message Signs on Driving Behavior Based on a Driving Simulation Experiment

Integration of driving simulator and traffic simulation to analyse behaviour at railway crossings

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