Driver cognitive distraction detection in different road lines

作者：Jin Li Sheng^*; Niu Qing Ning; Liu Jing Hua; Qin Yan Guang; Lu Huan Huan

来源：Journal of Jilin University (Engineering and Technology Edition), 2014, 44(3): 642-647.

DOI：10.13229/j.cnki.jdxbgxb201403010

• Cognitive distractions
• Detection accuracy
• Detection models
• Driving performance
• Driving simulator
• Performance data
• Transportation safety engineerings
• Universal model

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.

• 出版日期2014