The Evaluation of Driver's Distraction Load Based on Fixation Behavior Characteristics

WANG Haixiao; DING Xu; LÜ Zhen; GAO Mingxing

doi:10.6054/j.jscnun.2022052

Journal of South China Normal University (Natural Science Edition) > 2022 > 54(4): 7-17. > DOI: 10.6054/j.jscnun.2022052

WANG Haixiao, DING Xu, LÜ Zhen, GAO Mingxing. The Evaluation of Driver's Distraction Load Based on Fixation Behavior Characteristics[J]. Journal of South China Normal University (Natural Science Edition), 2022, 54(4): 7-17. DOI: 10.6054/j.jscnun.2022052

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The Evaluation of Driver's Distraction Load Based on Fixation Behavior Characteristics

College of Energy and Traffic Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China

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Received Date: April 04, 2022
Available Online: September 21, 2022

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Abstract

In order to evaluate the impact of various behaviors of drivers operating mobile phones on driving safety, 19 drivers were organized to wear an eye tracker to carry out indoor simulation driving test, and the fixation data of drivers during normal driving, hands-free call and voice message in two typical traffic conditions of free flow and crowded flow of urban expressway were collected respectively. The driver's visual field plane is divided and classified into six visual interest areas with the hierarchical clustering method combined with mechanical division. Using descriptive statistics and variance analysis, a set of sensitive indexes (information entropy of fixation area, fixation duration, vertical fixation deviation and coefficient of variation of pupil area) was established to measure the characteristics of fixation behavior. Finally, the entropy weight method was used to construct the weight system of four indicators and propose the concept of distraction load index, and the TOPSIS method was introduced to verify the evaluation effect of distraction load index on the degree of distraction. The results show that most drivers are in the cognitive distraction state during hands-free call operation and in the visual distraction state during voice message operation. Compared with normal driving, except that there is little impact on distraction load during hands-free call operation in the free flow scenario, other mobile phone operations have a significant impact on the drivers' fixation behavior, resulting in a general increase in distraction load index. In addition, in the crowded flow scenario, the distraction load increases sharply when performing voice message operation, and the driving risk is much higher than that of hands-free call.
- fixation behavior,
- distracted driving,
- information entropy,
- distraction load,
- TOPSIS method

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[1]	傅志妍, 陈坚, 陈林. 智能手机使用行为对驾驶可靠性的影响模型[J]. 交通运输系统工程与信息, 2019, 19(5): 114-119, 141. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201905016.htm FU Z Y, CHEN J, CHEN L. Influence model of smart phone using behavior on driving reliability[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(5): 114-119, 141. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201905016.htm
[2]	马勇, 付锐. 驾驶人视觉特性与行车安全研究进展[J]. 中国公路学报, 2015, 28(6): 82-94. doi: 10.3969/j.issn.1001-7372.2015.06.012 MA Y, FU R. Research and development of drivers visual behavior and driving safety[J]. China Journal of Highway and Transport, 2015, 28(6): 82-94. doi: 10.3969/j.issn.1001-7372.2015.06.012
[3]	李之红, 赵莉, 许旺土. 基于眼动实验的右转车辆驾驶员注视行为研究[J]. 重庆交通大学学报(自然科学版), 2018, 37(12): 111-117. https://www.cnki.com.cn/Article/CJFDTOTAL-CQJT201812017.htm LI Z H, ZHAO L, XU W T. Drivers' gaze behavior for right turning vehicle based on eye movement experiment[J]. Journal of Chongqing Jiaotong University(Natural Science), 2018, 37(12): 111-117. https://www.cnki.com.cn/Article/CJFDTOTAL-CQJT201812017.htm
[4]	HASHASH M, ZEID M A, MOACDIEH N M. Social media browsing while driving: effects on driver performance and attention allocation[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2019, 63: 67-82. doi: 10.1016/j.trf.2019.03.021
[5]	KOUNTOURIOTIS G K, SPYRIDAKOS P, CARSTEN O M, et al. Identifying cognitive distraction using steering wheel reversal rates[J]. Accident Analysis and Prevention, 2016, 96: 39-45. doi: 10.1016/j.aap.2016.07.032
[6]	JIN L, XIAN H, NIU Q, et al. Research on safety evaluation model for in-vehicle secondary task driving[J]. Accident Analysis and Prevention, 2015, 81: 243-250. doi: 10.1016/j.aap.2014.08.013
[7]	高岩, 罗毅, 尤志栋, 等. 手机操作类型对驾驶人跟车行为的影响[J]. 中国公路学报, 2018, 31(4): 1-9. doi: 10.3969/j.issn.1001-7372.2018.04.001 GAO Y, LUO Y, YOU Z D, et al. Influence of operating types of smartphone on drivers' car-following behavior[J]. China Journal of Highway and Transport, 2018, 31(4): 1-9. doi: 10.3969/j.issn.1001-7372.2018.04.001
[8]	王海晓, 吉柯, 王波, 等. 草原公路行车分心时驾驶人的动态视觉特性[J]. 中国科技论文, 2021, 16(8): 895-901. doi: 10.3969/j.issn.2095-2783.2021.08.016 WANG H X, JI K, WANG B, et al. Driver's dynamic visual characteristics of distracted driving in prairie highway environment[J]. China Sciencepaper, 2021, 16(8): 895-901. doi: 10.3969/j.issn.2095-2783.2021.08.016
[9]	游峰, 涂海清, 宫云渤, 等. 手机社交娱乐操作对驾驶人视觉参数影响研究[J]. 交通运输系统工程与信息, 2020, 20(4): 236-243. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202004034.htm YOU F, XU H Q, GONG Y B, et al. Influence of mobile phone social entertainment operation on driver's visual parameters[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(4): 236-243. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202004034.htm
[10]	葛慧敏, 郑明强, 吕能超, 等. 驾驶分心综述[J]. 交通运输工程学报, 2021, 21(2): 38-55. https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC202102007.htm GE H M, ZHENG M Q, LV N C, et al. Review on driving distraction[J]. Journal of Traffic and Transportation Engineering, 2021, 21(2): 38-55. https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC202102007.htm
[11]	ZHAO R Y, HU Q S, LIU Q, et al. Panic propagation dynamics of high-density crowd based on information entropy and aw-rascle model[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 99: 1-10.
[12]	杨晓梦, 王福兴, 王燕青, 等. 瞳孔是心灵的窗口吗?——瞳孔在心理学研究中的应用及测量[J]. 心理科学进展, 2020, 28(7): 1029-1041. https://www.cnki.com.cn/Article/CJFDTOTAL-XLXD202007001.htm YANG X M, WANG F X, WANG Y Q, et al. Are pupils the window of our mind? Pupil-related application in psychology and pupillometry[J]. Advances in Psychological Science, 2020, 28(7): 1029-1041. https://www.cnki.com.cn/Article/CJFDTOTAL-XLXD202007001.htm
[13]	丁旭, 王海晓, 高明星, 等. 公路隧道出入口驾驶员视觉负荷评价与建模[J]. 隧道建设, 2022, 42(4): 679-687. https://www.cnki.com.cn/Article/CJFDTOTAL-JSSD202204015.htm DING X, WANG H X, GAO M X, et al. Evaluation and modeling of driver's visual load at entrance and exit of a highway tunnel[J]. Tunnel Construction, 2022, 42(4): 679-687. https://www.cnki.com.cn/Article/CJFDTOTAL-JSSD202204015.htm
[14]	王俊, 李斌, 张焕雪, 等. 顾及自身吸引力的公园时空可达性与变化强度分析[J]. 华南师范大学学报(自然科学版), 2021, 53(6): 88-95. doi: 10.6054/j.jscnun.2021097 WANG J, LI B, ZHANG H X, et al. An analysis of the spatial-temporal accessibility and change intensity of attraction-oriented parks[J]. Journal of South China Normal University (Natural Science Edition), 2021, 53(6): 88-95. doi: 10.6054/j.jscnun.2021097
[15]	孙振球, 徐勇勇. 医学统计学[M]. 第四版. 北京: 人民卫生出版社, 2017. SUN Z Q, XU Y Y. Medical statistics[M]. 4th edition. Beijing: People's Medical Publishing House, 2017.

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