The correlation between drivers’ road familiarity and glance behavior using real vehicle experimental data and mathematical models

References

• Aswad Mohammed H, Hurwitz DS, Macuga KL. 2020. Drivers’ visual attention during the onset of the circular yellow indication at high-speed signalized intersections. Traffic Inj Prev. 21(4):259–264. PMID: 32310676. doi:10.1080/15389588.2020.1741559.
   PubMed Web of Science ®Google Scholar
• Burdett BRD, Charlton SG, Starkey NJ. 2018. Inside the commuting driver’s wandering mind. Transp Res Part F Traffic Psychol Behav. 57:59–74. doi:10.1016/j.trf.2017.11.002.
   Web of Science ®Google Scholar
• Dukic T, Broberg T. 2012. Older drivers’ visual search behaviour at intersections. Transp Res Part F Traffic Psychol Behav. 15(4):462–470. doi:10.1016/j.trf.2011.10.001.
   Web of Science ®Google Scholar
• Fridman L, Toyoda H, Seaman S, Seppelt B, Angell L, Lee J, Mehler B, Reimer B. 2017. What can be predicted from six seconds of driver glances?. Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems; Denver, CO. p. 2805–2813. doi:10.1145/3025453.3025929.
   Google Scholar
• Guo Y. 2009. Study on effects of traffic environment and driving experience on driver’s eye movement and workload [dissertation]. Xi’an (Shaanxi Province): Chang’an University.
   Google Scholar
• Hamed MM. 2001. Analysis of pedestrians’ behavior at pedestrian crossings. Saf Sci. 38(1):63–82. doi:10.1016/S0925-7535(00)00058-8.
   Web of Science ®Google Scholar
• Hu L, Dai X, Huang J, Chen Q. 2017. A study on parameter sensitivity in accident reconstruction model for car-pedestrian crash. Automot. Eng. 39(2):159–167. doi:10.19562/j.chinasae.qcgc.2017.02.007.
   Google Scholar
• Hu L, Fang S, Huang J, Chen Q. 2016. In-depth analysis on cycle-vehicle crash accident based on logistic regression. Automot. Eng. 38(11):1288–1293. doi:10.19562/j.chinasae.qcgc.2016.11.002.
   Google Scholar
• Hu L, Guo G, Huang J, Wu X, Chen K, Zhou D. 2022. Review on the impact of drivers’ familiarity on their safe traffic driving behavior. China J. Highw. Transp. 35(6):240–253. doi:10.19721/j.cnki.1001-7372.2022.06.020.
   Google Scholar
• Hu L, Hu X, Wan J, Lin M, Huang J. 2020. The injury epidemiology of adult riders in vehicle-two-wheeler crashes in China, Ningbo, 2011–2015. J Safety Res. 72:21–28. Epub 2019 Dec 31. PMID: 32199565. doi:10.1016/j.jsr.2019.12.011.
   PubMed Web of Science ®Google Scholar
• Hu L, Wu X, Huang J, Peng Y, Liu W. 2020. Investigation of clusters and injuries in pedestrian crashes using GIS in Changsha, China. Saf Sci. 127:104710. doi:10.1016/j.ssci.2020.104710.
   Web of Science ®Google Scholar
• Hu Y, Liu H, Zhu T. 2019. Influence of spatial visual conditions in tunnel on driver behavior: considering the route familiarity of drivers. Adv. Mech. Eng. 11(5):168781401985366. doi:10.1177/1687814019853661.
   Web of Science ®Google Scholar
• Hurtado S, Chiasson S. 2016. An eye-tracking evaluation of driver distraction and unfamiliar road signs. 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Ann Arbor, MI. p. 153–160. doi:10.1145/3003715.3005407.
   Google Scholar
• Intini P, Berloco N, Colonna P, Ranieri V, Ryeng E. 2018. Exploring the relationships between drivers’ familiarity and two-lane rural road accidents. A multi-level study. Accid Anal Prev. 111:280–296. Epub 2017 Dec 15. PMID: 29253754. doi:10.1016/j.aap.2017.11.013.
   PubMed Web of Science ®Google Scholar
• Intini P, Colonna P, Ryeng EO. 2019. Route familiarity in road safety: a literature review and an identification proposal. Transp Res Part F Traffic Psychol Behav. 62:651–671. doi:10.1016/j.trf.2018.12.020.
   Web of Science ®Google Scholar
• Lee SC, Kim YW, Ji YG. 2019. Effects of visual complexity of in-vehicle information display: age-related differences in visual search task in the driving context. Appl Ergon. 81:102888. doi:10.1016/j.apergo.2019.102888.
   PubMed Web of Science ®Google Scholar
• Lemonnier S, Désiré L, Brémond R, Baccino T. 2020. Drivers’ visual attention: a field study at intersections. Transp Res Part F Traffic Psychol Behav. 69:206–221. doi:10.1016/j.trf.2020.01.012.
   Web of Science ®Google Scholar
• Li G, Wang Y, Zhu F, Sui X, Wang N, Qu X, Green P. 2019. Drivers’ visual scanning behavior at signalized and unsignalized intersections: a naturalistic driving study in China. J Safety Res. 71:219–229. Epub 2019 Nov 20. PMID: 31862033. doi:10.1016/j.jsr.2019.09.012.
   PubMed Web of Science ®Google Scholar
• Liang Y, Lee JD, Yekhshatyan L. 2012. How dangerous is looking away from the road? Algorithms predict crash risk from glance patterns in naturalistic driving. Hum Factors. 54(6):1104–1116. PMID: 23397818. doi:10.1177/0018720812446965.
   PubMed Web of Science ®Google Scholar
• Lu Y, Fu X, Lu C, Guo E, Tang F, Zhu J, Li H. 2020. Effects of route familiarity on drivers’ psychological conditions: based on driving behaviour and driving environment. Transp Res Part F Traffic Psychol Behav. 75:37–54. doi:10.1016/j.trf.2020.09.005.
   Web of Science ®Google Scholar
• Martens MH. 2018. The failure to respond to changes in the road environment: does road familiarity play a role? Transp Res Part F Traffic Psychol Behav. 57:23–35. doi:10.1016/j.trf.2017.08.003.
   Web of Science ®Google Scholar
• Martens MH, Fox MRJ. 2007. Do familiarity and expectations change perception? Drivers’ glances and response to changes. Transp Res Part F Traffic Psychol Behav. 10(6):476–492. doi:10.1016/j.trf.2007.05.003.
   Web of Science ®Google Scholar
• Meng X, Xing M. 2019. Research on the HuBei high-quality development comprehensive evaluation under the background of supply side structural reform based on the weighted factor analysis. J Appl Stat Manag. 38(4):675–687. doi:10.13860/j.cnki.sltj.20190226-003.
   Google Scholar
• Rosenbloom T, Perlman A, Shahar A. 2007. Women drivers’ behavior in well-known versus less familiar locations. J Safety Res. 38(3):283–288. Epub 2007 May 24. PMID: 17617237. doi:10.1016/j.jsr.2006.10.008.
   PubMed Web of Science ®Google Scholar
• Sui W. 2000. Study on the Multiple-Objective-Comprehensive-Evaluation theory and methodology. [dissertation]. Xiamen (Fujian Province): Xiamen University.
   Google Scholar
• Tay R. 2015. A random parameters probit model of urban and rural intersection crashes. Accid Anal Prev. 84:38–40. Epub 2015 Aug 27. PMID: 26311202. doi:10.1016/j.aap.2015.07.013.
   PubMed Web of Science ®Google Scholar
• Wen H, Xue G. 2020. Injury severity analysis of familiar drivers and unfamiliar drivers in single-vehicle crashes on the mountainous highways. Accid Anal Prev. 144:105667. Epub 2020 Jul 8. PMID: 32652331. doi:10.1016/j.aap.2020.105667.
   PubMed Web of Science ®Google Scholar
• Wu J, Xu H. 2018. The influence of road familiarity on distracted driving activities and driving operation using naturalistic driving study data. Transp Res Part F Traffic Psychol Behav. 52:75–85. doi:10.1016/j.trf.2017.11.018.
   Web of Science ®Google Scholar
• Xing D. 2019. [ Research on driver visual perception character and its modelling ]. [dissertation]. [Changchun (Jilin Province)]: Jilin University.
   Google Scholar
• Xue W. 2017. Data analysis based on SPSS. 4th ed. Beijing: China Renmin University Press.
   Google Scholar
• Yanko MR, Spalek TM. 2013. Route familiarity breeds inattention: a driving simulator study. Accid Anal Prev. 57:80–86. Epub 2013 Apr 10. PMID: 23643937. doi:10.1016/j.aap.2013.04.003.
   PubMed Web of Science ®Google Scholar
• Yanko MR, Spalek TM. 2014. Driving with the wandering mind: the effect that mind-wandering has on driving performance. Hum Factors. 56(2):260–269. PMID: 24689247. doi:10.1177/0018720813495280.
   PubMed Web of Science ®Google Scholar
• Young AH, Mackenzie AK, Davies RL, Crundall D. 2018. Familiarity breeds contempt for the road ahead: the real-world effects of route repetition on visual attention in an expert driver. Transp Res Part F Traffic Psychol Behav. 57:4–9. doi:10.1016/j.trf.2017.10.004.
   Web of Science ®Google Scholar
• Young MS, Stanton NA. 2002. Malleable attentional resources theory: a new explanation for the effects of mental underload on performance. Hum Factors. 44(3):365–375. PMID: 12502155. doi:10.1518/0018720024497709.
   PubMed Web of Science ®Google Scholar
• Zhao L, Liu H. 2016. Visual features of novice and experienced drivers on the urban road context. J Saf Environ. 16(6):98–102. doi:10.13637/j.issn.1009-6094.2016.06.020.
   Google Scholar