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Study Results from University of Technology Provide New Insights into Risk Management (Microsimulation modelling of driver behaviour towards...

September 12, 2014



Study Results from University of Technology Provide New Insights into Risk Management (Microsimulation modelling of driver behaviour towards alternative warning devices at railway level crossings)

By a News Reporter-Staff News Editor at Insurance Weekly News -- Researchers detail new data in Risk Management. According to news reporting from Penang, Malaysia, by VerticalNews journalists, research stated, "Level crossings are amongst the most complex of road safety issues, due to the addition of rail infrastructure, trains and train operations. The differences in the operational characteristics of different warning devices together with varying crossing, traffic or/and train characteristics, cause different driver behaviour at crossings."

The news correspondents obtained a quote from the research from the University of Technology, "This paper compares driver behaviour towards two novel warning devices (rumble strips and in-vehicle audio warning) with two conventional warning devices (flashing light and stop sign) at railway level crossings using microsimulation modelling. Two safety performance indicators directly related to collision risks, violation and time-to-collision, were adopted. Results indicated the active systems were more effective at reducing likely collisions compared to passive devices. With the combined application of driving simulation and traffic microsimulation modelling, traffic safety performance indicators for a level crossing can be estimated."

According to the news reporters, the research concluded: "From these, relative safety comparisons for the different traffic devices are derived, or even for absolute safety evaluation with proper calibration from field investigations."

For more information on this research see: Microsimulation modelling of driver behaviour towards alternative warning devices at railway level crossings. Accident Analysis and Prevention, 2014;71():177-182. Accident Analysis and Prevention can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Accident Analysis and Prevention - www.elsevier.com/wps/product/cws_home/336)

Our news journalists report that additional information may be obtained by contacting L.S. Tey, Univ Teknol MARA, Fac Civil Engn, Permatang Pauh 13500, Penang, Malaysia. Additional authors for this research include S.C. Zhu, L. Ferreira and G. Wallis.

Keywords for this news article include: Penang, Malaysia, Asia, Risk Management

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Insurance Weekly News


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