Safety at railway level crossings : driver acceptance of potential ITS interventions
Data(s) |
01/08/2013
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Resumo |
There is a continuing need to improve safety at Railway Level Crossings (RLX) particularly those that do not have gates and lights regulating traffic flow. A number of Intelligent Transport System (ITS) interventions have been proposed to improve drivers’ awareness and reduce errors in detecting and responding appropriately at level crossings. However, as with other technologies, successful implementation and ultimately effectiveness rests with the acceptance of the technology by the end user. In the current research, four focus groups were held (n=38) with drivers in metropolitan and regional locations in Queensland to examine their perceptions of potential in-vehicle and road-based ITS interventions to improve safety at RLX. The findings imply that further development of the ITS interventions, in particular the design and related promotion of the final product, must consider ease of use, usefulness and relative cost. |
Formato |
application/pdf |
Identificador | |
Publicador |
Australasian College of Road Safety (ACRS) |
Relação |
http://eprints.qut.edu.au/64989/1/final_189.pdf http://acrs.org.au/files/arsrpe/Paper%20189%20-%20Haworth%20-%20Railway%20Level%20Crossings.pdf Buckley, Lisa, Larue, Grégoire, Haworth, Narelle, & Rakotonirainy, Andry (2013) Safety at railway level crossings : driver acceptance of potential ITS interventions. In Proceedings of the 2013 Australasian Road Safety Research, Policing & Education Conference, Australasian College of Road Safety (ACRS), Brisbane Convention and Exhibition Centre, Brisbane, QLD, Australia. |
Direitos |
Copyright 2013 Please consult the authors |
Fonte |
Centre for Accident Research & Road Safety - Qld (CARRS-Q); Faculty of Health; Institute of Health and Biomedical Innovation; School of Psychology & Counselling |
Palavras-Chave | #090507 Transport Engineering #100000 TECHNOLOGY #170100 PSYCHOLOGY #Railway Level Crossings #Intelligent Transport Systems #Human Machine Interface |
Tipo |
Conference Paper |