Exploring the effects of road type on drivers’ eye behavior and workload

References

• Plainis S, Murray IJ, Pallikaris IG. Road traffic casualties: understanding the night-time death toll. Injury Prevention. 2006;12(2):125–138.
   PubMed Web of Science ®Google Scholar
• Dingus TA, Klauer SG, Neale VL, et al. The 100-car naturalistic driving study; phase II – results of the 100-car field experiment. DOT HS 810 593. Blacksburg (VA): Virginia Tech Transportation Institute; 2006.
   Google Scholar
• Klauer SG, Dingus TA, Neale VL, et al. The impact of driver inattention on near-crash/crash risk: an analysis using the 100-car naturalistic driving study data. DOT HS 810 594. Blacksburg (VA): Virginia Tech Transportation Institute; 2006.
   Google Scholar
• Brookhuis KA, de Waard D. Monitoring drivers’ workload in driving simulators using physiological measures. Accident Analysis & Prevention. 2010;42:898–903.
   PubMed Web of Science ®Google Scholar
• Young MS, Mahfoud JM, Stanton NA, et al. The implications of roadside advertising for driver attention and eye movements. Transp Res Part F Traffic Psychol Behav. 2009;12:381–388.
   Google Scholar
• Gao Q, Wang Y, Song F, et al. Mental workload measurement for emergency operating procedures in digital nuclear power plants. Ergonomics. 2013;56(7):1070–1085.
   PubMed Web of Science ®Google Scholar
• Borghini G, Astolfi L, Vecchiato G, et al. Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload,: fatigue and drowsiness. Neuroscience & Biobehavioral Reviews. 2014;44:58–75.
   PubMed Web of Science ®Google Scholar
• Teh E, Jamson S, Carsten O, et al. Temporal fluctuations in driving demand: the effect of traffic complexity on subjective measures of workload and driving performance. Transp Res F Traffic Psychol Behav. 2014;22:207–217.
   Web of Science ®Google Scholar
• Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54(6):1063–1070.
   PubMed Web of Science ®Google Scholar
• Thayer RE. Activation–deactivation adjective check list: current overview and structural analysis. Psychol Rep. 1986;58(2):607–614.
   Web of Science ®Google Scholar
• Reid GB. The subjective workload assessment technique: a scaling procedure for measuring mental workload. Elsevier Science Publishers; 1988.
   Google Scholar
• Hart SG, Staveland LE. Development of NASA-TLX (task load index): results of empirical and theoretical research. Adv Psychol. 1988;52:139–183.
   Google Scholar
• Vidulich MA, Tsang PS. Absolute magnitude estimation and relative judgement approaches to subjective workload assessment. Proc Hum Factors Soc Ann Meet. 1987;31(9):1057–1061.
   Google Scholar
• Wierwille WW, Casali JG. A validated rating scale for global mental workload measurement applications. Proc Hum Factors Soc Ann Meet. 1983;27(2):129–133.
   Google Scholar
• Di Stasi LL, Álvarez-Valbuena V, Cañas JJ. Risk behaviour and mental workload: multimodal assessment techniques applied to motorbike riding simulation. Transp Res Part F Traffic Psychol Behav. 2009;12(5):361–370.
   Web of Science ®Google Scholar
• Yan S, Cong CT, Wei Y, et al. Driver's mental workload prediction model based on physiological indices. Int J Occup Saf Ergon. 2017;1–37.
   PubMed Web of Science ®Google Scholar
• Savage SW, Potter DD, Tatler BW. Does preoccupation impair hazard perception? A simultaneous EEG and eye tracking study. Transportation Research Part F: Traffic Psychology and Behaviour. 2013;17:52–62.
   Web of Science ®Google Scholar
• Williams AF. Teenage drivers: patterns of risk. Journal of Safety Research. 2003;34(1):5–15.
   PubMed Web of Science ®Google Scholar
• Brodsky H, Hakkert AS. Risk of a road accident in rainy weather. Accident Analysis & Prevention. 1988;20(3):161–176.
   PubMed Web of Science ®Google Scholar
• Baldock MRJ, Mathias JL, McLean AJ, et al. Self-regulation of driving and its relationship to driving ability among older adults. Accident Analysis and Prevention. 2006;38(5):1038–1045.
   PubMed Web of Science ®Google Scholar
• Chapman PR, Underwood G. Visual search of driving situations: danger and experience. Perception. 1998;27(8):951–964.
   PubMed Web of Science ®Google Scholar
• Neyens DM, Boyle LN. The influence of driver distraction on the severity of injuries sustained by teenage drivers and their passengers. Accident Analysis & Prevention. 2008;40(1):254–259.
   PubMed Web of Science ®Google Scholar