The impact of rural expressway environments: drivers’ attention allocation to variable message signs

References

• Almallah, M., Alfahel, R., Hussain, Q., Alhajyaseen, W. K. M., & Dias, C. (2020). Empirical evaluation of drivers’ start-up behavior at signalized intersection using driving simulator. Procedia Computer Science, 170, 227–234. https://doi.org/10.1016/j.procs.2020.03.034
   Google Scholar
• Almallah, M., Hussain, Q., Reinolsmann, N., & Alhajyaseen, W. K. M. (2021). Driving simulation sickness and the sense of presence: Correlation and contributing factors. Transportation Research Part F: Traffic Psychology and Behaviour, 78, 180–193. https://doi.org/10.1016/j.trf.2021.02.005
   Web of Science ®Google Scholar
• Andrychowicz-Trojanowska, A, & Uniwersytet Warszawski. (2018). Basic terminology of eye-tracking research. Applied Linguistics Papers, 2/2018(25), 123–132. https://doi.org/10.32612/uw.25449354.2018.2.pp.123-132
   Google Scholar
• Banerjee, S., Jeihani, M., Khadem, N. K., & Brown, D. D. (2019). Units of information on dynamic message signs: A speed pattern analysis. European Transport Research Review, 11(1), 1–9. https://doi.org/10.1186/s12544-019-0355-7
   Google Scholar
• Campbell, J. L., Lichty, M. G., Brown, J. L., Richard, C. M., Graving, J. S., Graham, J., O’Laughlin, M., Torbic, D., & Harwood, D. (2012). Human factors guidelines for road systems: Second Edition. In Human factors guidelines for road systems. 2nd Ed. Transportation Research Board. https://doi.org/10.17226/22706
   Google Scholar
• CDOT. (2005). CDOT Guidelines on Variable Message Signs (VMS). Colorado Department of Transportation. Retrived from: https://www.yumpu.com/en/document/view/49907177/cdot-guidelines-on-variable-message-signs-vms-colorado-
   Google Scholar
• Costa, M., Simone, A., Vignali, V., Lantieri, C., & Palena, N. (2018). Fixation distance and fixation duration to vertical road signs. Applied Ergonomics, 69, 48–57. https://doi.org/10.1016/j.apergo.2017.12.017
   PubMed Web of Science ®Google Scholar
• Deng, T., Yang, K., Li, Y., & Yan, H. (2016). Where does the driver look? Top-down-based saliency detection in a traffic driving environment. IEEE Transactions on Intelligent Transportation Systems, 17(7), 2051–2062. https://doi.org/10.1109/TITS.2016.2535402
   Web of Science ®Google Scholar
• Engström, J., Johansson, E., & Östlund, J. (2005). Effects of visual and cognitive load in real and simulated motorway driving. Transportation Research Part F: Traffic Psychology and Behaviour, 8(2), 97–120. https://doi.org/10.1016/j.trf.2005.04.012
   Web of Science ®Google Scholar
• Fancello, G., Serra, P., & Pinna, C. (2021). Visual perception and understanding of variable message signs: The influence of the drivers’ age and message layout. Safety, 7(3), 60. https://doi.org/10.3390/safety7030060
   Web of Science ®Google Scholar
• Fuller, R. (2005). Towards a general theory of driver behaviour. Accident; Analysis and Prevention, 37(3), 461–472. https://doi.org/10.1016/j.aap.2004.11.003
   PubMed Web of Science ®Google Scholar
• Garcez de Oliveira Padilha, L., Malek, L., & Umberger, W. J. (2021). Sustainable meat: Looking through the eyes of Australian consumers. Sustainability, 13(10), 5398. https://doi.org/10.3390/su13105398
   Web of Science ®Google Scholar
• Garrison, T. M., & Williams, C. C. (2013). Impact of relevance and distraction on driving performance and visual attention in a simulated driving environment. Applied Cognitive Psychology, 27(3), 396–405. https://doi.org/10.1002/acp.2917
   Web of Science ®Google Scholar
• Haghani, A., Hamedi, M., Fish, R., & Nouruzi, A. (2013). Evaluation of dynamic message signs and their potential impact on traffic flow (No. MD-13-SP109B4C). Maryland: State Highway Administration. Office of Policy & Research.
   Google Scholar
• Harms, I. M., Dijksterhuis, C., Jelijs, B., de Waard, D., & Brookhuis, K. A. (2019). Don’t shoot the messenger: Traffic-irrelevant messages on variable message signs (VMSs) might not interfere with traffic management. Transportation Research Part F: Traffic Psychology and Behaviour, 65, 564–575. https://doi.org/10.1016/j.trf.2018.09.011
   Web of Science ®Google Scholar
• Hussain, Q., Alhajyaseen, W. K. M., Pirdavani, A., Reinolsmann, N., Brijs, K., & Brijs, T. (2019). Speed perception and actual speed in a driving simulator and real-world: A validation study. Transp Res Part F Traffic Psychol Behav, 62, 637–650. https://doi.org/10.1016/j.trf.2019.02.019
   Web of Science ®Google Scholar
• Hussain, Q., Alhajyaseen, W., Brijs, K., Pirdavani, A., & Brijs, T. (2020). Improved traffic flow efficiency during yellow interval at signalized intersections using a smart countdown system. IEEE Transactions on Intelligent Transportation Systems, 23(7), 1959–1968. https://doi.org/10.1109/TITS.2020.3030130.
   Google Scholar
• Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., & Van de Weijer, J. (2011). Eye tracking: A comprehensive guide to methods and measures. OUP.
   Google Scholar
• Jamson, A. (2007). The effectiveness of safety campaign VMS messages - A driving simulator investigation. Driving Assesment Conference, 4(2007), 459–465. https://doi.org/10.17077/drivingassessment.1277
   Google Scholar
• Jamson, A. H., Merat, N., Carsten, O. M. J., & Lai, F. C. H. (2013). Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions. Transportation Research Part C: Emerging Technologies, 30, 116–125. https://doi.org/10.1016/j.trc.2013.02.008
   Web of Science ®Google Scholar
• Klauer, S. G., Dingus, T. A., Neale, V. L., Sudweeks, J. D., & Ramsey, D. J. (2006). The impact of driver inattention on near crash/crash risk: An analysis using the 100-car naturalistic driving study data. National Highway Traffic Safety Administration, 226, 594.
   Google Scholar
• Margison, P. (2008). Guidelines for the location and placement of variable message signs. Technical Direction for Traffic and Transport Practitioners, December
   Google Scholar
• Metz, B., & Krüger, H. P. (2014). Do supplementary signs distract the driver? Transportation Research Part F: Traffic Psychology and Behaviour, 23, 1–14. https://doi.org/10.1016/j.trf.2013.12.012
   Web of Science ®Google Scholar
• Miller, J. S., Smith, B. L., Newman, B. R., & Demetsky, M. J. (1995). Effective use of variable message signs: Lessons learned through development of users’ manuals. Transportation Research Record, (Report No.1495), 1–8.
   Google Scholar
• Most, S. B., & Astur, R. S. (2007). Feature-based attentional set as a cause of traffic accidents. Visual Cognition, 15(2), 125–132. https://doi.org/10.1080/13506280600959316
   Web of Science ®Google Scholar
• Porter, B. E. (2011). Handbook of Traffic psychology. Academic Press. ISBN: 9780123819840, https://doi.org/10.1016/B978-0-12-381984-0.10041-4.
   Google Scholar
• Qatar MOTC. (2015). Highway design manual -Interchanges and freeway or motorway corridors, Ministry of Transport & Communication, State of Qatar, 1(9).
   Google Scholar
• Reinolsmann, N., Brijs, K., Brijs, T., Alhajyaseen, W., Cornu, J., & Mollu, K. (2018). Variable message sign strategies for congestion warning on motorways-a driving simulator study. Advances in Transportation Studies, 45, 77–92.
   Google Scholar
• Reinolsmann, N., Alhajyaseen, W., Brijs, T., Pirdavani, A., Ross, V., Hussain, Q., & Brijs, K. (2022). Delay or travel time information? The impact of advanced traveler information systems on drivers’ behavior before freeway work zones. Transportation Research Part F: Traffic Psychology and Behaviour, 87, 454–476. https://doi.org/10.1016/j.trf.2022.05.001
   Web of Science ®Google Scholar
• Richards, A., Mcdonald, M., Fisher, G., & Brackstone, M. (2005). Investigation of driver comprehension of traffic information on graphical congestion display panels using a driving simulator. EJTIR, 4(20040), 417–435.
   Google Scholar
• Robbins, C. J., Allen, H. A., & Chapman, P. (2019). Comparing drivers’ visual attention at Junctions in Real and Simulated Environments. Applied Ergonomics, 80, 89–101. https://doi.org/10.1016/j.apergo.2019.05.005
   PubMed Web of Science ®Google Scholar
• Soliman, A., Alhajyaseen, W., Alfar, R., & Alkaabi, I. (2018). Changes in driving behavior across age cohorts in an Arab Culture: The case of State of Qatar. Procedia Computer Science, 130, 652–659. https://doi.org/10.1016/j.procs.2018.04.116
   Google Scholar
• Thomas, F. M. F., & Charlton, S. G. (2020). Inattentional blindness and information relevance of variable message signs. Accident; Analysis and Prevention, 140, 105511. https://doi.org/10.1016/j.aap.2020.105511
   PubMed Web of Science ®Google Scholar
• Timmermans, C., Alhajyaseen, W., Reinolsmann, N., Nakamura, H., & Suzuki, K. (2019). Traffic safety culture of professional drivers in the State of Qatar. IATSS Research, 43(4), 286–296. https://doi.org/10.1016/j.iatssr.2019.03.004
   Web of Science ®Google Scholar
• Timmermans, C. P., Alhajyaseen, W. K., Ross, V., & Nakamura, H. (2020). Introducing a multi-variate classification method: Risky driving acceptance among different heterogeneous driver sub-cultures. Journal of Safety Research, 73, 81–91.
   PubMed Web of Science ®Google Scholar
• Tobii Pro AB. (2020). Tobii Pro Lab user manual (Version 1.145).
   Google Scholar
• Tobii Pro AB. (2017). Eye tracker data quality report: Accuracy, precision and detected gaze under optimal conditions-controlled environment. Tobii Technology.
   Google Scholar
• Underwood, G., Chapman, P., Brocklehurst, N., Underwood, J., & Crundall, D. (2003). Visual attention while driving: Sequences of eye fixations made by experienced and novice drivers. Ergonomics, 46(6), 629–646. https://doi.org/10.1080/0014013031000090116
   PubMed Web of Science ®Google Scholar
• Underwood, G., Chapman, P., Berger, Z., & Crundall, D. (2003). Driving experience, attentional focusing, and the recall of recently inspected events. Transportation Research Part F: Traffic Psychology and Behaviour, 6(4), 289–304. https://doi.org/10.1016/j.trf.2003.09.002
   Google Scholar
• Vetturi, D., Tiboni, M., Maternini, G., & Bonera, M. (2020). Use of eye tracking device to evaluate the driver’s behaviour and the infrastructures quality in relation to road safety. Transportation Research Procedia, 45(2019), 587–595. https://doi.org/10.1016/j.trpro.2020.03.053
   Google Scholar