Quantitative Identification of the Main Factors of Traffic Signs

摘要

If the road traffic facility is set in improper way, it will lead to a wrong driving behavior and thus leads to accidents. Whereas the traffic facilities have too many varieties and have no strict installation regulation, these will produce huge study workload. The questionnaire form for traffic facilities on driving behavior safety investigation was designed with 21 items which closely relate to drivers' daily life. The evaluation indices have obvious effects on driving behaviour. Some indices have significant correlation with each other. If major factors are ascertained, workload for later work will be reduced. The impact of every factor to traffic safety will be obvious. This will provide more convenience for formulating quantitative model about traffic facilities and traffic safety. Statistical software was used to simplify the effective factors of complicated traffic facilities, to gain the major factors, to provide theoretical basis for the later study about the correlation between traffic facilities and driving behaviour. The factor analysis method was used to study the variables in the questionnaires. Six major factors were picked out with variable load. The maximum value of variance rotation method was used for structure simplification. It is found that eigenvalues of the six main factors were 4.027, 3.503, 3.336, 2.364, 1.834 and 1.486. The finally accumulated explaining variance is 78.848 percent.