Driving while performing secondary tasks is a common phenomenon and can lead to car crashes and human injuries. However, the impact degrees of several secondary tasks have not been determined. To study the importance of several secondary task driving behaviors on driving safety, an eye movement tracking system and a vehicle running state collection system were utilized to determine the laws of behavioral parameters when driving while performing six secondary tasks including Bluetooth calls, cell phone calls, sending text messages, operating car-mounted players, chatting, and singing. Then, an experiment was carried out to collect the evaluation indices of eye movement behaviors and vehicle running statuses. A characteristic extraction method that is based on the gray incidence clustering method was used to extract the characteristic evaluation indices. The generalized gray Euclidean distance was utilized to extract the characteristic evaluation indices. Then, seven characteristic evaluation indices were extracted from 17 evaluation indices. In order to verify the accuracy of the evaluation index system, 17 candidate evaluation indices were screened out to eight by principal component analysis. From this result, the established evaluation index system is all included in eight indices selected by principal component analysis. Furthermore, the characteristic evaluation indices and the six secondary task modes were combined to build the entropy weight decision-making matrix, based on which the weights of each driving behavior mode were determined via the entropy weight method and the impact degrees of the six driving behavior modes on the driving safety were obtained. The results of this research demonstrate that the operation of car-mounted players had the greatest impact on driving safety, whereas making cell phone calls had the least impact.
[1]Jilin Univ, Transportat Coll, Changchun 130022, Jilin, Peoples R China.
[2]Jilin Univ, China Japan Union Hosp, Dept Ophthalmol, Changchun 130022, Jilin, Peoples R China.
[3]Jilin Univ, Coll Commun Engn, Changchun 130025, Jilin, Peoples R China.
(8.0+极速模式)