01333475

Component

For the design of a vehicle control algorithm to monitor and correct driver behavior, it is essential to have a good insight into the different characteristics between different groups. In order to compare the consistency of classifications based on subjective evaluation and objective experimental data, driver behavior experiments including filling out of the driver behavior questionnaire (DBQ) and real world driving experiments were carried out involving 52 participants. Next, classifications based on the subjective evaluation and real world experimental data are proposed. Factor analysis theory is applied to the data processing and extraction. Principle components analysis is implemented to investigate the factor structure and a two-dimensional factor structure is established to describe the driver characteristics of driving skill and driving style. Five groups are obtained based on the factor scores, i.e. aggressive and non-skillful group, prudent and non-skillful group, prudent and skillful group, aggressive and skillful group, normal group, where, aggressive and prudent reflect the driving style, while non-skillful and skillful reflect the driving skill. Finally, a comparison is proposed between the two classifications. The results of the study indicate that there are significant differences from the subjective evaluation to objective data, i.e. the subjective evaluation is not reliable enough for algorithm design, but it can be considered as a reference.

01329018

11-3170

English

13p

2011

Transportation Research Board 90th Annual Meeting

DVD

Figures (6) ; References (29) ; Tables (2)

Aggression; Algorithms; Automobile drivers; Behavior; Factor analysis; High risk drivers; Human characteristics; Motor skills; Safety

Real world data

Highways; Safety and Human Factors; I83: Accidents and the Human Factor

Transportation Research Board Annual Meeting 2011 Paper #11-3170

TRIS, TRB

Feb 17 2011 6:25PM