吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 642-647.doi: 10.13229/j.cnki.jdxbgxb201403010

• Orignal Article • Previous Articles     Next Articles

Driver cognitive distraction detection in different road lines

JIN Li-sheng1,NIU Qing-ning1,LIU Jing-hua2,QIN Yan-guang1,YU Huan-huan1   

  1. 1.College of Transportation, Jilin University, Changchun 130022, China;
    2.Zhengzhou Yutong Bus Co, Ltd, Zhengzhou 450000, China
  • Received:2013-04-08 Online:2014-03-01 Published:2014-03-01

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Abstract: 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.

Key words: transportation safety engineering, cognitive distraction, driving performance, support vector machine

CLC Number: 

  • U492.8
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