Driving Simulator Evaluation of the Failure of an Audio In-vehicle Warning for Railway Level Crossings

Grégoire S. Larue , Christian Wullems

Urban Rail Transit ›› 2015, Vol. 1 ›› Issue (3) : 139 -148.

PDF
Urban Rail Transit ›› 2015, Vol. 1 ›› Issue (3) : 139 -148. DOI: 10.1007/s40864-015-0018-5
Original Research Papers

Driving Simulator Evaluation of the Failure of an Audio In-vehicle Warning for Railway Level Crossings

Author information +
History +
PDF

Abstract

It is impracticable to upgrade the 18,900 Australian passive crossings as such crossings are often located in remote areas, where power is lacking and with low road and rail traffic. The rail industry is interested in developing innovative in-vehicle technology interventions to warn motorists of approaching trains directly in their vehicles. The objective of this study was therefore to evaluate the benefits of the introduction of such technology. We evaluated the changes in driver performance once the technology is enabled and functioning correctly, as well as the effects of an unsafe failure of the technology? We conducted a driving simulator study where participants (N = 15) were familiarised with an in-vehicle audio warning for an extended period. After being familiarised with the system, the technology started failing, and we tested the reaction of drivers with a train approaching. This study has shown that with the traditional passive crossings with RX2 signage, the majority of drivers complied (70 %) and looked for trains on both sides of the rail track. With the introduction of the in-vehicle audio message, drivers did not approach crossings faster, did not reduce their safety margins and did not reduce their gaze towards the rail tracks. However, participants’ compliance at the stop sign decreased by 16.5 % with the technology installed in the vehicle. The effect of the failure of the in-vehicle audio warning technology showed that most participants did not experience difficulties in detecting the approaching train even though they did not receive any warning message. This showed that participants were still actively looking for trains with the system in their vehicle. However, two participants did not stop and one decided to beat the train when they did not receive the audio message, suggesting potential human factors issues to be considered with such technology.

Keywords

Railway crossing / Safety / Intelligent transport systems / Compliance / Driving simulation

Cite this article

Download citation ▾
Grégoire S. Larue, Christian Wullems. Driving Simulator Evaluation of the Failure of an Audio In-vehicle Warning for Railway Level Crossings. Urban Rail Transit, 2015, 1(3): 139-148 DOI:10.1007/s40864-015-0018-5

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Australian Transport Safety Bureau (2012) Australian rail safety occurrence Data 1 July 2002 to 30 June 2012. In: Australian Transport Safety Bureau AG (ed) Australian Transport Safety Bureau. Statistical Publication Investigation number: RR-2012-010

[2]

Caird JK, Creaser JI, Edwards CJ, Dewar RE. A human factors analysis of highway-railway grade crossing accidents in Canada, 2002, Canada: Transp Canada

[3]

Caird JK, Smiley A, Fern L, Robinson J. Fisher DL, Rizzo M, Caird JK, Lee JD. Driving simulation design and evaluation of highway–railway grade and transit crossings. Handbook of driving simulation for engineering, medicine, and psychology, 2011, Hoboken: CRC Press

[4]

Cairney P. Prospects for improving the conspicuity of trains at passive railway Crossings. Road safety research report, 2003, Vermont South: Australian Transport Safety Board

[5]

Kirkwood BR, Sterne JAC. Essential medical statistics, 2003, Malden: Blackwell Science

[6]

Larue GS, Kim I, Buckley L, Rakotonirainy A, Haworth NL, Ferreira L (2014) Evaluation of emerging Intelligent Transport Systems to improve safety on level crossings—an overview. In: 2014 Global level crossing symposium, 4–8 August 2014, Urbana

[7]

Larue GS, Rakotonirainy A, Haworth NL, Darvell M. Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings. Transp Res F, 2015, 30: 1-13

[8]

Lay MG. Handbook of road technology, 2009, New York: Spon

[9]

Lenné MG, Rudin-Brown CM, Navarro J, Edquist J, Trotter M, Tomasevic N. Driver behaviour at rail level crossings: responses to flashing lights, traffic signals and stop signs in simulated rural driving. Appl Ergon, 2011, 42: 548-554

[10]

Mcguirl JM, Sarter NB. Supporting trust calibration and the effective use of decision aids by presenting dynamic system confidence information. Hum Factors, 2006, 48: 656-665

[11]

Railway Industry Safety and Standards Board (2009) Level crossing stocktake

[12]

Railway Safety Regulators’ Panel (2008) Review of national level crossing statistics

[13]

Rovira E, Cross A, Leitch E, Bonaceto C. Displaying contextual information reduces the costs of imperfect decision automation in rapid retasking of ISR assets. Hum Factors, 2014, 39(6): 1581-1584.

[14]

Seppelt BD, Lee JD. Making adaptive cruise control (ACC) limits visible. Int J Hum Comput Stud, 2007, 65: 192-205

[15]

Standards Australia Manual of uniform traffic control devices, Part 7: railway crossings, 2009 3 Sydney: Standards Australia

[16]

Tey L-S, Ferreira L, Wallace A. Measuring driver responses at railway level crossings. Accid Anal Prev, 2011, 43: 2134-2141

[17]

Tey L-S, Kim I, Ferreira L (2012) Evaluating safety at railway level crossings using micro-simulation modelling. In: Transportation research board conference, 2012 Washington DC

[18]

Wigglesworth EC. The epidemiology of road-rail crossing accidents in Victoria, Australia. J Saf Res, 1979, 11: 162-171.

[19]

Wullems C, Wayth R, Galea V, Nelson-Furnell P (2014) In-vehicle railway level crossing warning systems: can intelligent transport systems deliver? In: Conference on railway excellence, Adelaide

Funding

Rail CRC(R2.195)

AI Summary AI Mindmap
PDF

117

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/