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

Kim, Inhi, Ferreira, Luis, Tey, Li Sian and Wallis, Guy (2013) Integration of driving simulator and traffic simulation to analyse behavior at railway crossings. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 227 5: 427-438. doi:10.1177/0954409713489117


Author Kim, Inhi
Ferreira, Luis
Tey, Li Sian
Wallis, Guy
Title Integration of driving simulator and traffic simulation to analyse behavior at railway crossings
Journal name Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit   Check publisher's open access policy
ISSN 0954-4097
2041-3017
Publication date 2013-05-24
Sub-type Article (original research)
DOI 10.1177/0954409713489117
Volume 227
Issue 5
Start page 427
End page 438
Total pages 12
Place of publication London, United Kingdom
Publisher Sage Publications
Collection year 2014
Language eng
Formatted abstract
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.
Keyword Driving simulator
Traffic simulation
Railway crossing
Safety evaluation
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Special Issue on work of the Cooperative Research Centre for Rail Innovation, Australia.

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 1 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 11 Sep 2013, 15:36:54 EST by Julie Hunter on behalf of School of Civil Engineering