Effects of personality traits and visual health on driver route-choice behaviour in response to VMS traffic information

References

• AlKheder, S., F. AlRukaibi, and A. Aiash. 2019. “Drivers’ Response to Variable Message Signs (VMS) in Kuwait.” Cognition, Technology & Work 21 (3): 457–471. doi:10.1007/s10111-019-00538-7.
   Web of Science ®Google Scholar
• Ardeshiri, A., M. Jeihani, and S. Peeta. 2015. “Driving simulator-based Study of Compliance Behaviour with Dynamic Message Sign Route Guidance.” IET Intelligent Transport Systems 9 (7): 765–772. doi:10.1049/iet-its.2014.0164.
   Web of Science ®Google Scholar
• ARYA News Agency 2015, accessed 14 May 2022, https://www.aryanews.com/news/20150606160332380/
   Google Scholar
• Bahamonde-Birke, F., and J. de Dios Ortúzar. 2014. “Is Sequential Estimation a Suitable Second Best for Estimation of Hybrid Choice Models?” Transportation Research Record 2429 (1): 51–58. doi:10.3141/2429-06.
   Google Scholar
• Ben-Akiva, M., and S. R. Lerman. 2018. Discrete Choice Analysis: Theory and Application to Travel Demand. The MIT Press.
   Google Scholar
• Ben-Elia, E., I. Erev, and Y. Shiftan. 2008. “The Combined Effect of Information and Experience on Drivers’ route-choice Behavior.” Transportation 35 (2): 165–177. doi:10.1007/s11116-007-9143-7.
   Web of Science ®Google Scholar
• Bohensky, M., J. Charlton, M. Odell, and J. Keeffe. 2008. “Implications of Vision Testing for Older Driver Licensing.” Traffic Injury Prevention 9 (4): 304–313. doi:10.1080/15389580801895277.
   PubMed Web of Science ®Google Scholar
• Bowers, A. R., A. J. Mandel, R. B. Goldstein, and E. Peli. 2010. “Driving with Hemianopia, II: Lane Position and Steering in a Driving Simulator.” Investigative Ophthalmology & Visual Science 51 (12): 6605–6613. doi:10.1167/iovs.10-5310.
   PubMed Web of Science ®Google Scholar
• Caspi, A., B. W. Roberts, and R. L. Shiner. 2005. “Personality Development: Stability and Change.” Annu. Rev. Psychol 56 (1): 453–484. doi:10.1146/annurev.psych.55.090902.141913.
   PubMedGoogle Scholar
• Central Bank of Iran. 2019. Accessed November, 2022. http://www.cbi.ir/default_en.aspx
   Google Scholar
• Chatterjee, K., N. Hounsell, P. Firmin, and P. Bonsall. 2002. “Driver Response to Variable Message Sign Information in London.” Transportation Research Part C: Emerging Technologies 10 (2): 149–169. doi:10.1016/S0968-090X(01)00008-0.
   Web of Science ®Google Scholar
• Chatterjee, K., and M. Mcdonald. 2004. “Effectiveness of Using Variable Message Signs to Disseminate Dynamic Traffic Information: Evidence from Field Trails in European Cities.” Transport Reviews 24 (5): 559–585. doi:10.1080/0144164042000196080.
   Web of Science ®Google Scholar
• Cheng, Y., X. Ye, and T. Fujiyama. 2021. “How Does Interchange Affect Passengers’ Route Choices in Urban Rail Transit?–a Case Study of the Shanghai Metro.” Transportation Letters 1–11.
   Web of Science ®Google Scholar
• Chiu, Y.-C., and N. Huynh. 2007. “Location Configuration Design for Dynamic Message Signs under Stochastic Incident and ATIS Scenarios.” Transportation Research Part C: Emerging Technologies 15 (1): 33–50. doi:10.1016/j.trc.2006.12.001.
   Web of Science ®Google Scholar
• Chu, F., Y. Fu, and S. Liu. 2019. “Organization Is Also a “Life Form”: Organizational-level Personality, Job Satisfaction, and Safety Performance of high-speed Rail Operators.” Accident Analysis & Prevention 125: 217–223. doi:10.1016/j.aap.2019.01.027.
   PubMed Web of Science ®Google Scholar
• Costa, P. T., and R. R. McCrae. 1992. “Normal Personality Assessment in Clinical Practice: The NEO Personality Inventory.” Psychological Assessment 4 (1): 5. doi:10.1037/1040-3590.4.1.5.
   Google Scholar
• de Dios Ortúzar, J., and L. G. Willumsen. 2011. Modelling Transport. Hoboken, New Jersey, U.S.: John wiley & sons.
   Google Scholar
• Dell’Orco, M., and M. Marinelli. 2017. “Modeling the Dynamic Effect of Information on Drivers’ Choice Behavior in the Context of an Advanced Traveler Information System.” Transportation Research Part C: Emerging Technologies 85: 168–183. doi:10.1016/j.trc.2017.09.019.
   Web of Science ®Google Scholar
• Diop, E. B., S. Zhao, S. Song, and T. Van Duy (2020). “Modelling Travellers’ Route Switching Behaviour in Response to Variable Message Signs Using the Technology Acceptance Model.” Transport, 1–15.
   Google Scholar
• Donnellan, M. B., F. L. Oswald, B. M. Baird, and R. E. Lucas. 2006. “The mini-IPIP Scales: Tiny-yet-effective Measures of the Big Five Factors of Personality.” Psychological Assessment 18 (2): 192. doi:10.1037/1040-3590.18.2.192.
   PubMed Web of Science ®Google Scholar
• Dudek, C. L. (1992). “Guidelines on the Use and Operation of Changeable Message Signs” (Report No. FHWA-TX-92-1232-9). College Station: Texas Transportation Institute.
   Google Scholar
• Emmerink, R. H. M., P. Nijkamp, P. Rietveld, and J. N. V. Ommeren. 1996. “Variable Message Signs and Radio Traffic Information: An Integrated Empirical Analysis of Drivers’ Route Choice Behavior.” Transportation Research Part A 30 (2): 135–153.
   Google Scholar
• Er-hui, C., L. Jing, W. Yun-ling, and X. Juan. 2013. “A Study on Variable Message Signs Graphical Comparation.” Procedia-Social and Behavioral Sciences 96: 2523–2528. doi:10.1016/j.sbspro.2013.08.282.
   Google Scholar
• Flaxman, S. R., R. R. Bourne, S. Resnikoff, P. Ackland, T. Braithwaite, M. V. Cicinelli, A. Das, J. B. Jonas, J. Keeffe, and J. H. Kempen. 2017. “Global Causes of Blindness and Distance Vision Impairment 1990–2020: A Systematic Review and meta-analysis.” The Lancet Global Health 5 (12): e1221–e1234. doi:10.1016/S2214-109X(17)30393-5.
   PubMed Web of Science ®Google Scholar
• Goldberg, L. R. 1999. “A broad-bandwidth, Public Domain, Personality Inventory Measuring the lower-level Facets of Several five-factor Models.” Personality Psychology in Europe 7 (1): 7–28.
   Google Scholar
• Guo, M., W. Wei, G. Liao, and F. Chu. 2016. “The Impact of Personality on Driving Safety among Chinese high-speed Railway Drivers.” Accident Analysis & Prevention 92: 9–14. doi:10.1016/j.aap.2016.03.014.
   PubMed Web of Science ®Google Scholar
• Hensher, D. A., and M. Bradley. 1993. “Using Stated Response Choice Data to Enrich Revealed Preference Discrete Choice Models.” Marketing Letters 4 (2): 139–151. doi:10.1007/BF00994072.
   Google Scholar
• Huchingson, R., and C. Dudek. 1979. “Delay, Time Saved, and Travel Time Information for Freeway Traffic Management.” In Transportation Research Record. Vol. 722. Washington D.C: National Academy of Sciences 36–40 .
   Google Scholar
• Hussain, B., H. Sato, T. Miwa, and T. Morikawa. 2020. “Influence of Personality Traits on Aberrant Driving Behaviors: A Comparison of Japanese, Chinese, and Vietnamese Drivers.” Journal of Safety Research 75: 178–188. doi:10.1016/j.jsr.2020.09.011.
   PubMed Web of Science ®Google Scholar
• Iran Population 2020 (Live). (2020). Retrieved 28/12/2020 from https://worldpopulationreview.com/countries/iran-population
   Google Scholar
• Jamson, S. L., F. N. Tate, and A. H. Jamson (2001). “Bilingual Variable Message Signs: A Study of Information Presentation and Driver Distraction”.
   Google Scholar
• Jeihani, M., and A. Ardeshiri (2013). “Exploring Travelers’ Behavior in Response to Dynamic Message Signs (DMS) Using a Driving Simulator”.
   Google Scholar
• Jenaabadi, H., N. Rastgoo, M. Herfedust, and E. K. Kheyrjoo. 2017. “Factor Structure and Construct Validity of Personality Inventory for Mini-IPIP.” Quarterly of Educational Measurement 7 (25): 237–255. http://ensani.ir/file/download/article/20171202140407-9880-196.pdf
   Google Scholar
• Jiang, G., M. Fosgerau, and H. K. Lo. 2019. “Route Choice, Travel Time Variability, and Rational Inattention.” Transportation Research Procedia 38: 482–502. doi:10.1016/j.trpro.2019.05.026.
   Google Scholar
• Jovanović, D., K. Lipovac, P. Stanojević, and D. Stanojević. 2011. “The Effects of Personality Traits on driving-related Anger and Aggressive Behaviour in Traffic among Serbian Drivers.” Transportation Research Part F: Traffic Psychology and Behaviour 14 (1): 43–53. doi:10.1016/j.trf.2010.09.005.
   Web of Science ®Google Scholar
• Kasneci, E., K. Sippel, K. Aehling, M. Heister, W. Rosenstiel, U. Schiefer, and E. Papageorgiou. 2014. “Driving with Binocular Visual Field Loss? A Study on A Supervised on-road Parcours with Simultaneous Eye and Head Tracking.” PloS One 9 (2): e87470. doi:10.1371/journal.pone.0087470.
   PubMed Web of Science ®Google Scholar
• Kattan, L., K. M. N. Habib, I. Tazul, and N. Shahid. 2011. “Information Provision and Driver Compliance to Advanced Traveller Information System Application: Case Study on the Interaction between Variable Message Sign and Other Sources of Traffic Updates in Calgary, Canada.” Canadian Journal of Civil Engineering 38 (12): 1335–1346.
   Web of Science ®Google Scholar
• Kwon, M., C. Huisingh, L. A. Rhodes, G. McGwin Jr, J. M. Wood, and C. Owsley. 2016. “Association between Glaucoma and at–fault Motor Vehicle Collision Involvement among Older Drivers: A population-based Study.” Ophthalmology 123 (1): 109–116. doi:10.1016/j.ophtha.2015.08.043.
   PubMed Web of Science ®Google Scholar
• Lai, C.-J. 2010. “Effects of Color Scheme and Message Lines of Variable Message Signs on Driver Performance.” Accident Analysis & Prevention 42 (4): 1003–1008. doi:10.1016/j.aap.2009.12.002.
   PubMed Web of Science ®Google Scholar
• Levinson, D. M., and H. Huo (2003). “Effectiveness of Variable Message Signs Using Empirical Loop Detector Data”.
   Google Scholar
• Lijarcio, Ignacio, Sergio A Useche, Javier Llamazares, and Luis Montoro. 2020. “Are your eyes “on the road”? Findings from the 2019 National Study on Vision and Driving Safety in Spain.” International journal of environmental research and public health 17 (9): 3195.
   Google Scholar
• Linkov, V., A. Zaoral, P. Řezáč, and C.-W. Pai. 2019. “Personality and Professional Drivers’ Driving Behavior.” Transportation Research Part F: Traffic Psychology and Behaviour 60: 105–110. doi:10.1016/j.trf.2018.10.017.
   Web of Science ®Google Scholar
• Luoma, J., P. Rämä, M. Penttinen, and V. Anttila. 2000. “Effects of Variable Message Signs for Slippery Road Conditions on Reported Driver Behaviour.” Transportation Research Part F: Traffic Psychology and Behaviour 3 (2): 75–84. doi:10.1016/S1369-8478(00)00017-6.
   Google Scholar
• Mallia, L., L. Lazuras, C. Violani, and F. Lucidi. 2015. “Crash Risk and Aberrant Driving Behaviors among Bus Drivers: The Role of Personality and Attitudes Towards Traffic Safety.” Accident Analysis & Prevention 79: 145–151. doi:10.1016/j.aap.2015.03.034.
   PubMed Web of Science ®Google Scholar
• Marengo, D., M. Settanni, and G. Vidotto. 2012. “Drivers’ Subtypes in a Sample of Italian Adolescents: Relationship between Personality Measures and Driving Behaviors.” Transportation Research Part F: Traffic Psychology and Behaviour 15 (5): 480–490. doi:10.1016/j.trf.2012.04.001.
   Web of Science ®Google Scholar
• Ma, Z., C. Shao, Y. Song, and J. Chen. 2014. “Driver Response to Information Provided by Variable Message Signs in Beijing.” Transportation Research Part F: Traffic Psychology and Behaviour 26: 199–209. doi:10.1016/j.trf.2014.07.006.
   Web of Science ®Google Scholar
• Mazón, A. H., A. Lucas-Alba, A. M. Ferruz, and S. O. Hernández. 2021. “The Role of Drivers’ Schemes on Traffic Signs Comprehension.” Transportation Research Procedia 58: 340–346. doi:10.1016/j.trpro.2021.11.046.
   Google Scholar
• McCrae, R. R., J. Costa, and T. Paul. 2007. “Brief Versions of the NEO-PI-3.” Journal of Individual Differences 28 (3): 116–128. doi:10.1027/1614-0001.28.3.116.
   Google Scholar
• Moghaddam, Z. R., M. Jeihani, S. Peeta, and S. Banerjee. 2019. “Comprehending the Roles of Traveler Perception of Travel Time Reliability on Route Choice Behavior.” Travel Behaviour and Society 16: 13–22. doi:10.1016/j.tbs.2019.03.002.
   Web of Science ®Google Scholar
• Ortiz-Peregrina, S., C. Ortiz, C. Salas, M. Casares-López, M. Soler, and R. G. Anera. 2020. “Intraocular Scattering as a Predictor of Driving Performance in Older Adults with Cataracts.” PloS one 15 (1): e0227892. doi:10.1371/journal.pone.0227892.
   PubMed Web of Science ®Google Scholar
• Owsley, C., and G. McGwin Jr. 2010. “Vision and Driving.” Vision Research 50 (23): 2348–2361. doi:10.1016/j.visres.2010.05.021.
   PubMed Web of Science ®Google Scholar
• Owsley, C., B. Stalvey, J. Wells, and M. E. Sloane. 1999. “Older Drivers and Cataract: Driving Habits and Crash Risk.” Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences 54 (4): M203–M211. doi:10.1093/gerona/54.4.M203.
   PubMed Web of Science ®Google Scholar
• Owsley, C., B. T. Stalvey, J. Wells, M. E. Sloane, and G. McGwin. 2001. “Visual Risk Factors for Crash Involvement in Older Drivers with Cataract.” Archives of Ophthalmology 119 (6): 881–887. doi:10.1001/archopht.119.6.881.
   PubMedGoogle Scholar
• Owsley, C., J. M. Wood, and G. McGwin Jr. 2015. “A Roadmap for Interpreting the Literature on Vision and Driving.” Survey of Ophthalmology 60 (3): 250–262. doi:10.1016/j.survophthal.2015.01.005.
   PubMed Web of Science ®Google Scholar
• Parr, M. N., L. A. Ross, B. McManus, H. J. Bishop, S. M. Wittig, and D. Stavrinos. 2016. “Differential Impact of Personality Traits on Distracted Driving Behaviors in Teens and Older Adults.” Accident Analysis & Prevention 92: 107–112. doi:10.1016/j.aap.2016.03.011.
   PubMed Web of Science ®Google Scholar
• Parsons, Nathaniel Intelligent Transportation Systems (ITS) Design Manual: Chapter 6 (Variable Message Signs). 2000. Wisconsin: Winsconsin Department of Transportation.
   Google Scholar
• Pascolini, D., and S. P. Mariotti. 2012. “Global Estimates of Visual Impairment: 2010.” British Journal of Ophthalmology 96 (5): 614–618. doi:10.1136/bjophthalmol-2011-300539.
   PubMed Web of Science ®Google Scholar
• Peeta, S., and J. L. Ramos. 2006. Driver Response to Variable Message signs-based Traffic Information. IEE Proceedings-Intelligent Transport Systems.
   Google Scholar
• Peeta, S., J. L. Ramos, and R. Pasupathy. 2000. “Content of Variable Message Signs and on-line Driver Behavior.” Transportation Research Record 1725 (1): 102–108. doi:10.3141/1725-14.
   Google Scholar
• Poulopoulou, M., and I. Spyropoulou. 2019. “Active Traffic Management in Urban Areas: Is It Effective for Professional Drivers? the Case of Variable Message Signs.” Transportation Research Part A: Policy and Practice 130: 412–423.
   Web of Science ®Google Scholar
• Qi, Z., S. Lim, and T. Hossein Rashidi. 2020. “Assessment of Transport Equity to Central Business District (CBD) in Sydney, Australia.” Transportation Letters 12 (4): 246–256. doi:10.1080/19427867.2019.1584694.
   Web of Science ®Google Scholar
• Ratrout, N. T., and Y. F. Issa. 2014. “Effectiveness of Newly Introduced Variable Message Signs in Al-Khobar, Saudi Arabia.” Promet-Traffic&Transportation 26 (2): 169–177. doi:10.7307/ptt.v26i2.1305.
   Web of Science ®Google Scholar
• Raveau, S., R. Álvarez-Daziano, M. F. Yáñez, D. Bolduc, and J. de Dios Ortúzar. 2010. “Sequential and Simultaneous Estimation of Hybrid Discrete Choice Models: Some New Findings.” Transportation Research Record 2156 (1): 131–139. doi:10.3141/2156-15.
   Google Scholar
• Reinolsmann, N., W. Alhajyaseen, T. Brijs, A. Pirdavani, V. Ross, Q. Hussain, and K. Brijs. 2020. “Dynamic Travel Information Strategies in Advance Traveler Information Systems and Their Effect on Route Choices along Highways.” Procedia Computer Science 170: 289–296. doi:10.1016/j.procs.2020.03.042.
   Google Scholar
• Roberts, B. W., N. R. Kuncel, R. Shiner, A. Caspi, and L. R. Goldberg. 2007. “The Power of Personality: The Comparative Validity of Personality Traits, Socioeconomic Status, and Cognitive Ability for Predicting Important Life Outcomes.” Perspectives on Psychological Science 2 (4): 313–345. doi:10.1111/j.1745-6916.2007.00047.x.
   Web of Science ®Google Scholar
• Roca, J., B. Insa, and P. Tejero. 2018. “Legibility of Text and Pictograms in Variable Message Signs: Can single-word Messages Outperform Pictograms?” Human Factors 60 (3): 384–396. doi:10.1177/0018720817751623.
   PubMed Web of Science ®Google Scholar
• Roca, J., P. Tejero, and B. Insa. 2018. “Accident Ahead? Difficulties of Drivers with and without Reading Impairment Recognising Words and Pictograms in Variable Message Signs.” Applied Ergonomics 67: 83–90. doi:10.1016/j.apergo.2017.09.013.
   PubMed Web of Science ®Google Scholar
• Romero, F., J. Gomez, T. Rangel, R. Jurado-Piña, and J. M. Vassallo. 2020. “The Influence of Variable Message Signs on en-route Diversion between a Toll Highway and a Free Competing Alternative.” Transportation 47 (4): 1665–1687. doi:10.1007/s11116-019-09976-8.
   Web of Science ®Google Scholar
• Rowell, M., A. Gagliano, and A. Goodchild. 2014. “Identifying Truck Route Choice Priorities: The Implications for Travel Models.” Transportation Letters 6 (2): 98–106. doi:10.1179/1942787514Y.0000000015.
   Web of Science ®Google Scholar
• Saffarzadeh, M., A. M. Rahimi, and S. Salimi Tari 2013. “Modelling Driver’s Attitude of Switching Main Routes to Alternative Routes toward VMS.” signs in tehran highways The 12th International Conference on Traffic and Transportation Engineering, Tehran, Iran.
   Google Scholar
• Salvia, E., C. Petit, S. Champely, R. Chomette, F. Di Rienzo, and C. Collet. 2016. “Effects of Age and Task Load on Drivers’ Response Accuracy and Reaction Time When Responding to Traffic Lights.” Front. Aging Neurosci 8: 45. doi:10.3389/fnagi.2016.00169.
   PubMed Web of Science ®Google Scholar
• Shen, J., & Yang, G. 2020. Integrated Empirical Analysis of the Effect of Variable Message Sign on Driver Route Choice Behavior. Journal of Transportation Engineering, Part A: Systems 146 (2): 04019063.
   Google Scholar
• Soto, C. J., and O. P. John. 2017. “Short and extra-short Forms of the Big Five Inventory–2: The BFI-2-S and BFI-2-XS.” Journal of Research in Personality 68: 69–81. doi:10.1016/j.jrp.2017.02.004.
   Web of Science ®Google Scholar
• Statistical Center of Iran, accessed 14 May 2022, https://www.amar.org.ir/
   Google Scholar
• Subzwari, S., E. Desapriya, G. Scime, S. Babul, K. Jivani, and I. Pike. 2008. “Effectiveness of Cataract Surgery in Reducing driving-related Difficulties: A Systematic Review and meta-analysis.” Injury Prevention 14 (5): 324–328. doi:10.1136/ip.2007.017830.
   PubMed Web of Science ®Google Scholar
• Sun, D., C. Zhang, L. Zhang, F. Chen, and Z.-R. Peng. 2014. “Urban Travel Behavior Analyses and Route Prediction Based on Floating Car Data.” Transportation Letters 6 (3): 118–125. doi:10.1179/1942787514Y.0000000017.
   Web of Science ®Google Scholar
• Tao, D., R. Zhang, and X. Qu. 2017. “The Role of Personality Traits and Driving Experience in self-reported Risky Driving Behaviors and Accident Risk among Chinese Drivers.” Accident Analysis & Prevention 99: 228–235. doi:10.1016/j.aap.2016.12.009.
   PubMed Web of Science ®Google Scholar
• Tejero, P., B. Insa, and J. Roca. 2019. “Difficulties of Drivers with Dyslexia When Reading Traffic Signs: Analysis of Reading, Eye Gazes, and Driving Performance.” Journal of Learning Disabilities 52 (1): 84–95. doi:10.1177/0022219418765766.
   PubMed Web of Science ®Google Scholar
• Tejero, P., M. Pi-Ruano, and J. Roca. 2020. “Better Read It to Me: Benefits of Audio Versions of Variable Message Signs in Drivers with Dyslexia.” Annals of Dyslexia 70 (3): 295–312. doi:10.1007/s11881-020-00199-6.
   PubMed Web of Science ®Google Scholar
• Toledo, T., and S. Sharif. 2019. “The Effect of Information on Drivers’ Toll Lane Choices and Travel Times Expectations.” Transportation Research Part F: Traffic Psychology and Behaviour 62: 149–159. doi:10.1016/j.trf.2018.12.023.
   Web of Science ®Google Scholar
• Train, K. E. 2009. Discrete Choice Methods with Simulation. Cambridge, England: Cambridge university press.
   Google Scholar
• Walker, J. L. 2001. Extended Discrete Choice Models: Integrated Framework, Flexible Error Structures, and Latent Variables. 77 Massachusetts Avenue, Cambridge, MA, USA.: Massachusetts Institute of Technology].
   Google Scholar
• Wood, J. M. 2002. “Aging, Driving and Vision.” Clinical and Experimental Optometry 85 (4): 214–220. doi:10.1111/j.1444-0938.2002.tb03040.x.
   PubMedGoogle Scholar
• Wood, J. M., and A. A. Black. 2016. “Ocular Disease and Driving.” Clinical and Experimental Optometry 99 (5): 395–401. doi:10.1111/cxo.12391.
   PubMed Web of Science ®Google Scholar
• Wood, J. M., and K. Mallon. 2001. “Comparison of Driving Performance of Young and Old Drivers (With and without Visual Impairment) Measured during in-traffic Conditions.” Optometry and Vision Science 78 (5): 343–349. doi:10.1097/00006324-200105000-00018.
   PubMed Web of Science ®Google Scholar
• Wood, J. M., and R. Troutbeck. 1994. “Effect of Visual Impairment on Driving.” Human Factors 36 (3): 476–487. doi:10.1177/001872089403600305.
   PubMed Web of Science ®Google Scholar
• Yang, Z., Q. Guan, Y. Wang, and J. Hu. 2008. “The Optimal VMS Location Method in Urban Traffic Flow Guidance System.” Traffic and Transportation Studies 870–879.
   Google Scholar
• Yan, X., and J. Wu. 2014. “Effectiveness of Variable Message Signs on Driving Behavior Based on a Driving Simulation Experiment.” Discrete Dynamics in Nature and Society 2014.
   Web of Science ®Google Scholar
• Yazdanpanah, M., and M. H. Hosseinlou. 2016. “The Influence of Personality Traits on Airport Public Transport Access Mode Choice: A Hybrid Latent Class Choice Modeling Approach.” Journal of Air Transport Management 55: 147–163. doi:10.1016/j.jairtraman.2016.04.010.
   Web of Science ®Google Scholar
• Yuki, K., R. Asaoka, and K. Tsubota. 2014. “The Relationship between Central Visual Field Damage and Motor Vehicle Collisions in Primary open-angle Glaucoma Patients.” PloS one 9 (12): e115572. doi:10.1371/journal.pone.0115572.
   PubMed Web of Science ®Google Scholar
• Zavareh, M. F., A. R. Mamdoohi, and T. Nordfjærn. 2017. “The Effects of Indicating rear-end Collision Risk via Variable Message Signs on Traffic Behaviour.” Transportation Research Part F: Traffic Psychology and Behaviour 46: 524–536. doi:10.1016/j.trf.2016.09.019.
   Web of Science ®Google Scholar
• Zhang, Q., Y. Ge, W. Qu, K. Zhang, and X. Sun. 2018. “The Traffic Climate in China: The Mediating Effect of Traffic Safety Climate between Personality and Dangerous Driving Behavior.” Accident Analysis & Prevention 113: 213–223. doi:10.1016/j.aap.2018.01.031.
   PubMed Web of Science ®Google Scholar
• Zhao, W., M. Quddus, H. Huang, J. Lee, and Z. Ma. 2019. “Analyzing Drivers’ Preferences and Choices for the Content and Format of Variable Message Signs (VMS).” Transportation Research Part C: Emerging Technologies 100: 1–14. doi:10.1016/j.trc.2019.01.013.
   Web of Science ®Google Scholar