Abstract
In this paper, drivers’ visual space attention capacity was researched, and a way of measuring this attention capacity by driving simulation experiments has been proposed. Firstly, based on static and dynamic traffic information the quantitative and incremental stimulus information sources were established and the road traffic virtual scenes with different amounts of information sources were built. Then 30 subjects (half experienced and half novice) were selected to participate the simulation experiments, the amount of stimulus information that the subjects sensed at each test point were tested, and subjective questionnaires were carried out after each test. Finally, experiment data were statistically analyzed. The results shown that when the stimulus information was 2 or 3, the subjects could get the information, however, when the number of stimulus was 4 or 5 or 6, the amount of information that the subjects sensed were obviously decreased to 38, 19 and 8% separately. The subjects’ average attention capacity was 4.27, but there was a significant difference (p = 0.02) between the experienced and the novice. The attention capacity for experienced drivers was 5, and that was only 3.54 for the novice. Moreover, during driving, the distribution of the amount of information obtained by the subjects was similar to the Poisson distribution. The results should have a guidance for the research of driver’s psychological behavior and intervention, as well as the renovation of traffic information sources and environment.
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Xiaowen L, Ling Z, Rongsheng T (2003) Modern psychology, 1st edn. East China Normal University Press
Danling P, Biyin Z (2004) Cognitive psychology, 1st edn. Zhejiang Education Publishing House
Huang L, Pashler H (2005) Attention capacity and task difficulty in visual search. Cognition 94:B101–B111
Geoffrey U et al (2002) Visual search while driving: skill and awareness during in section of the scene. Transp Res Part F 5(2):157–167
Ma Y, Wang Y (2009) Attention assignment characteristic of driver and its influences on driving safety. J Traffic Transp Eng 9(4):114–117
Salaheddine B, Khalid A (2010) The role of roadside advertising signs in distracting drivers. Int J Ind Ergon 40:233–236
Ball KK et al (1988) Age and visual search: expanding the useful field of view. J Opt Soc Am A 5(12):2210–2219
Ball KK et al, Visual attention problems as a predictor of vehicle crashes in older drivers. Invest Ophthalmol Vis Sci 34(11):3110–3123
Wei S, Chundao H (1994) Research on drivers’ attention span. J Traffic Chin J Appl Psychol 4:12–17
Ball KK et al (2005) Predicting driving performance in older adults with the useful field of view test: a meta-analysis. In: Proceedings of the third international driving symposium on human factors in driver assessment, training and vehicle design, pp 51–57
Ariane C et al (2015) Does attention capacity moderate the effect of driver distraction in older drivers? Accid Anal Prev 77:12–20
Mouhairong (2010) Visual attention during driving: implement of the test of useful view of field. Southwest University
Julia W, Mark V (2012) What does the driver Lookat? The influence of intersection characteristics on attention allocation and driving behavior, accident analysis and prevention. Accid Anal Prev 45:610–619
Yahui X (2015) Research on drivers’ attention capacity and the correlative factor. Kunming University of Science and Technology
Jian X, Jiguo Z, Li D et al (2002) Application and research of vehicle driving simulator for road traffic problems. China J Highway Transp 15(2):117–121
Liang C, Jian X, Fengxiang G et al (2017) Image calibration method of driving simulator based on vision and cognition. China J Highway Transp 30(1):129–135
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Zhu, L., Xiong, J., Guo, F., Xie, Y. (2020). Research on Attention Capacity Measurement for Drivers’ Visual Space Information. In: Wang, W., Baumann, M., Jiang, X. (eds) Green, Smart and Connected Transportation Systems. Lecture Notes in Electrical Engineering, vol 617. Springer, Singapore. https://doi.org/10.1007/978-981-15-0644-4_93
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DOI: https://doi.org/10.1007/978-981-15-0644-4_93
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