Abstract
In order to improve the adaptation of driver to the advanced driver assistance system (ADAS) and optimize the active safety control technology of vehicle under man-computer cooperative driving, this paper investigated the correlation between driver’s improper driving behaviors and abnormal vehicle states under the ADAS. Based on the warning data collected from the driver’s assistance warning system equipped on buses, the interaction between improper behaviors, between abnormal vehicle states, and between improper behaviors and abnormal vehicle states were quantitatively analyzed through the hierarchical clustering method and improved Apriori algorithm. The results showed that eye closure and yawn were high in concurrency (probability: 0.888) and interaction (average probability: 0.946); the interaction among lane departure, rapid acceleration, and rapid deceleration are frequent (average probability: 0.7224); eye closure (average probability: 0.452) and yawn (average probability: 0.444) are likely to induce abnormal vehicle states such as rapid acceleration and rapid deceleration. Some suggestions proposed based on the results are as follows. First, it is suggested that the ADAS should combine the warning modes of eye closure and yawn; second, when the driver closes eyes or yawns, the control of the ADAS over the lateral and longitudinal performance of vehicle should be enhanced; third, the extent of control by the ADAS should be determined according to the relationship probability; finally, the lateral control over the vehicle by the ADAS should be strengthened when there is a forward collision warning.
Highlights
In order to improve the adaptation of driver to the advanced driver assistance system (ADAS) and optimize the active safety control technology of vehicle under man-computer cooperative driving, this paper investigated the correlation between driver’s improper driving behaviors and abnormal vehicle states under the ADAS
Different levels and functions of intelligent vehicle technology are developing rapidly, the real sense of full working condition automatic driving has been difficult to achieve in the short term [2]
We have only entered the initial stage of man-computer cooperative driving where drivers and automatic driving systems collaborate with each other and will be in this phase for a long time
Summary
[1] classified the development of the intelligent vehicle into six levels of no automation, driver assistance, partial automation, conditional automation, high automation, and full automation. Different levels and functions of intelligent vehicle technology are developing rapidly, the real sense of full working condition automatic driving has been difficult to achieve in the short term [2]. We have only entered the initial stage of man-computer cooperative driving where drivers and automatic driving systems collaborate with each other and will be in this phase for a long time. Man-computer collaborative driving means that under nonfully automated driving conditions, the driver and the vehicle’s intelligent control system can cooperatively complete driving in the loop. How to realize the hybrid enhancement of the man-computer system to avoid causing man-computer conflict and nonco-operative mode is the most important key to improve the efficiency of mancomputer cooperative driving key factors [3]
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