Driver cognitive distraction detection in different road lines

被引：0

作者：

Jin, Li-Sheng ^{[1
]}

Niu, Qing-Ning ^{[1
]}

Liu, Jing-Hua ^{[2
]}

Qin, Yan-Guang ^{[1
]}

Lu, Huan-Huan ^{[1
]}

机构：

[1] College of Transportation, Jilin University

[2] Zhengzhou Yutong Bus Co. Ltd.

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2014年 / 44卷 / 03期

关键词：

Cognitive distraction; Driving performance; Support vector machine; Transportation safety engineering;

D O I：

10.13229/j.cnki.jdxbgxb201403010

中图分类号：

学科分类号：

摘要：

Through driving simulator experiments, the original performance data of different drivers on different road lines were collected, from which the characteristic parameters were extracted using statistical analysis. Then cognitive distraction detection models were developed based on the support vector machine in view of different road lines. The characteristic parameters were used as the input of the models. The experiment results show that, using the proposed models, the detection accuracy is 88.58% for straight road, and 81.25% for curve road. The performance of the proposed models is better than that of the universal model, using which the detection accuracy is only 74.17%. Experiment results also show that the cognitive distraction detection is also influenced by the driving styles of the individual drivers.

引用

页码：642 / 647

页数：5

共 13 条

[1]

Bergasa L., Nuevo J., Sotelo M., Et al., Real-time system for monitoring driver vigilance, IEEE Transactions on Intelligent Transportation Systems, 7, 1, pp. 63-77, (2006)

[2]

Wollmer M., Blaschke C., Schindl T., Et al., Online driver distraction detection using long short-term memory, IEEE Transactions on Intelligent Transportation Systems, 12, 2, pp. 574-582, (2011)

[3]

Jin L.S., Niu Q.N., Hou H.J., Et al., Driver cognitive distraction detection using driving performance Measures, Discrete Dynamics in Nature and Society, 2012, pp. 1-12, (2012)

[4]

Kircher K., Ahlstrom C., Kircher A., Comparison of two eye-gaze based real-time driver distraction detection algorithms in a small-scale field operational test, Proc 5th Int Driving Symp Human Factors Driver Assessment, pp. 16-23, (2009)

[5]

Strayer D.L., Drews F.A., Johnston W.A., Cell phone-induced failures of visual attention during simulated driving, Journal of Experimental Psychology: Applied, 9, 1, pp. 23-32, (2003)

[6]

Blanco M., Biever W.J., Gallagher J.P., Et al., The impact of secondary task cognitive processing demand on driving performance, Accident Analysis and Prevention, 38, pp. 895-906, (2006)

[7]

Haigney D., Westerman S.J., Mobile (cellular) phone use and driving: A critical review of research methodology, Ergonom, 44, 2, pp. 132-143, (2001)

[8]

Liang Y.-L., Detecting driver distraction, (2009)

[9]

Recarte M.A., Nunes L.M., Mental workload while driving: Effects on visual search, discrimination, and decision making, Journal of Experimental Psychology: Applied, 9, 2, pp. 119-137, (2003)

[10]

Reyes M.L., Lee J.D., Effects of cognitive load presence and duration on driver eye movements and event detection performance, Transportation Research Part F: Traffic Psychology and Behavior, 11, 6, pp. 391-402, (2008)

← 1 2 →