doi:

DOI: 10.3724/SP.J.1249.2017.02195

Journal of Shenzhen University Science and Engineering (深圳大学学报理工版) 2017/34:2 PP.195-203

Correlation between task urgency and driver's propensity


Abstract:
The transportation task urgency was taken as the study object. Transport task experiments of three different degrees of urgency were organized for 50 drivers. The physiological and psychological feature data of drivers were obtained. And the pre-judgment values of driver's propensity were calculated. Correlation between task urgency and driver's propensity was elaborated through one-way analysis of variance. Results show that the values of the impact factors of driver's propensity are significantly different in the cases in three task priorities of the slowness, the general urgency, and the most urgency. The characterization parameters considered are the driver's speed estimation bias, the operation response time, the attention, the emotion and so on. Namely task urgency has significant effect on driver's propensity.

Key words:transportation safety engineering,driving behavior,driver's propensity,task priorities,one-way analysis of variance,correlation analysis

ReleaseDate:2017-04-10 18:10:21



[1] Wang Xiaoyuan, Zhang Jinglei, Liu Jin, et al. Extraction of the dynamic vehicle driver's tendency feature based on car-following[C]//CICTP 2012:Multimodal Transportation Systems:Convenient, Safe, Cost-effective. Beijing:American Society of Civil Engineers, 2012:2061-2071.

[2] 陶达,张瑞,曲行达.性别、年龄和人格特质对风险驾驶行为的影响[J].深圳大学学报理工版,2016,33(6):646-652. Tao Da, Zhang Rui, Qu Xingda. The effects of gender, age and personality traits on risky driving behaviors[J]. Journal of Shenzhen University Science and Engineering, 2016, 33(6):646-652.(in Chinese)

[3] Salthouse T A. Aging and measures of processing speed[J]. Biological Psychology, 2000, 54(1):35-54.

[4] Campagne A, Pebayle T, Muzet A. Correlation between driving errors and vigilance level:influence of the driver's age[J]. Physiology & Behavior, 2004, 80(4):515-524.

[5] Gunnarsson J, Svensson L, Bengtsson E, et al. Joint driver intention classification and tracking of vehicles[C]//IEEE Nonlinear Statistical Signal Processing Workshop.[S. l.]:IEEE, 2006:95-98.

[6] Tsogas M, Polychronopoulos A, Floudas N, et al. Situation refinement for vehicle maneuver identification and driver's intention prediction[C]//The 10th International Conference on Information Fusion.[S.l.]:IEEE, 2007:1-8.

[7] Megías A, Maldonado A, Cándido A, et al. Emotional modulation of urgent and evaluative behaviors in risky driving scenarios[J]. Accident Analysis & Prevention, 2011, 43(3):813-817.

[8] Metz B, Schömig N, Krüger H P. Attention during visual secondary tasks in driving:adaptation to the demands of the driving task[J]. Transportation Research Part F:Traffic Psychology and Behaviour, 2011, 14(5):369-380.

[9] Scott-Parker B, Watson B, King M J, et al. A further exploration of sensation seeking propensity, reward sensitivity, depression, anxiety, and the risky behaviour of young novice drivers in a structural equation model[J]. Accident Analysis & Prevention, 2013, 50:465-471.

[10] Roidl E, Frehse B, Höger R. Emotional states of drivers and the impact on speed, acceleration and traffic violations:a simulator study[J]. Accident Analysis and Prevention, 2014, 70(5):282-292.

[11] Chan M, Singhal A. Emotion matters:implications for distracted driving[J]. Safety Science, 2015, 72(1):302-309.

[12] Sullman M J M. The expression of anger on the road[J]. Safety Science, 2015, 72(1):153-159.

[13] Bi Hongzhe, Shen Gongzhang. Recognition and appli-cations of emotion detection in driving fatigue[J]. The Open Automation and Control Systems Journal, 2015, 7(1):655-660.

[14] Fitzpatrick C D, Samuel S, Knodler M A. Evaluating the effect of vegetation and clear zone width on driver behavior using a driving simulator[J]. Transportation Research Part F:Traffic Psychology and Behaviour, 2016, 42(part 1):80-89.

[15] Faure V, Lobjois R, Benguigui N. The effects of driving environment complexity and dual tasking on drivers' mental workload and eye blink behavior[J]. Transportation Research Part F:Traffic Psychology and Behaviour, 2016, 40:78-90.

[16] Wang Zhe, Zheng Zuduo, Fleiter J J. Does family background impact driving attitudes and risky behaviours? An investigation on Chinese young drivers[J]. Accident Analysis & Prevention, 2016, 95(part A):67-77.

[17] 贾洪飞,隽志才.基于期望间距的车辆跟驰模型的建立[J].中国公路学报,2000,13(4):86-88. Jia Hongfei, Juan Zhicai. Development of a car-following model based on desired spacing[J]. China Journal of Highway and Transport, 2000, 13(4):86-88.(in Chinese)

[18] 陈雪梅,魏中华,高利.紧急情况下驾驶员行为研究[J].北京工业大学学报,2007,33(5):449-454. Chen Xuemei, Wei Zhonghua, Gao Li. Study on srivers' behavior under emergency situations[J]. Journal of Beijing University of Technology, 2007, 33(5):449-454.(in Chinese)

[19] 刘江,田萍,荣建,等.驾驶员气质与行车速度关系的初步研究[J].北京工业大学学报,2006,32(1):27-32. Liu Jiang, Tian Ping, Rong Jian, et al. Initial Research on Relationship between drivers' temperament and travel speed[J]. Journal of Beijing University of Technology, 2006, 32(1):27-32.(in Chinese)

[20] 余腊生,何满庆.基于Agent和情感计算的司机驾驶行为模型研究[J].企业技术开发,2009,28(3):19-21. Yu Lasheng, He Manqing. Study of driving behavior model based on agent and ambient intelligence[J]. Technological Development of Enterprise, 2009, 28(3):19-21.(in Chinese)

[21] 解仑,王志良,任冬淳,等.简化路况模式下驾驶员情绪模型的研究[J].自动化学报,2010,36(12):1732-1743. Xie Lun, Wang Zhiliang, Ren Dongchun, et al. Research of driver emotion model under simplified traffic condition[J]. Acta Automatica Sinica, 2010, 36(12):1732-1743.(in Chinese)

[22] 汪澎,刘志强,仲晶晶.驾驶员注意涣散检测技术研究[J].中国安全科学学报,2010,20(7):82-88. Wang Peng, Liu Zhiqiang, Zhong Jingjing. Study on detection technique for drivers' distraction[J]. China Safety Science Journal, 2010, 20(7):82-88.(in Chinese)

[23] Zhang Jinglei, Wang Xiaoyuan, Ban Xuegang(Jeff), et al. Prediction method of driver's propensity adapted to driver's dynamic feature extraction of affection[J]. Advances in Mechanical Engineering, 2013, 5:658103.

[24] Wang Xiaoyuan, Zhang Jinglei, Ban Xuegang(Jeff), et al. Dynamic feature extraction method of driver's propensity under complicated vehicle group[J]. Advances in Mechanical Engineering, 2013, 5:287653.

[25] 王广艳.适应汽车安全驾驶预警系统的驾驶倾向性研究[D].淄博:山东理工大学,2014. Wang Guangyan.Study on the research of drivers' propensity adapted to vehicle safety warning system[D]. Zibo:Shandong University of Technology.(in Chinese)

[26] 成波,孟传,张伟.基于机器视觉的驾驶员注意力状态监测技术研究[J].汽车工程,2009,31(12):1137-1140. Cheng Bo, Meng Chuan, Zhang Wei. A study on driver distraction detection technology based on computer vision[J]. Automotive Engineering, 2009, 31(12):1137-1140.(in Chinese)

[27] Wang Xiaoyuan, Liu Jin, Zhang Jinglei. Dynamic recognition model of driver's propensity under multilane traffic environments[J]. Discrete Dynamics in Nature and Society, 2012, 2012:309415.