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The damages caused by road traffic on people are increasing every year. Among them, the traffic accidents caused by long-distance driving have occupied a large proportion of such problems. So studying the effects of the accident factors on long-distance driving has been as a hot topic by domestic and foreign experts and scholars. Based on the background, this article studied the problem of accident proneness in the process of long-distance driving. In he research, accident proneness was quantified with a evaluation index system. A statistical analysis tool named SPSS was used to extract the key factors affecting accident proneness on the driver's long-distance driving. The recommendations and countermeasures of the accident proneness on effectively reducing long-distance driving were raised on the basis of analyzing the quantitative relationship between the main factors extracted and accident proneness. Relevant statistics show that the harm caused by traffic accidents on people is increasing every year. Among them, traffic accidents caused in the process of long-distance driving occupied larger proportion. Therefore it has great significance for the study of accident proneness in the process of long-distance driving. In previous studies, most of experts and scholars researched from the perspective of qualitative analysis on the impact of driver fatigue, mood swings, driving skills on the tendency of the accident. Their analysis did not find the key factors affecting the accident proneness, made certain one-sidedness. To avoid the one-sidedness, this article researched from the quantitative analysis, combined with the related theory, established an accident proneness model in long-distance driving process. Then extracted three key factors of the accident proneness affecting the long-distance driving through factor analysis method. The article have give reasonable suggestions for improvement, avoided the simple analysis of the one-sidedness on one factor which previous studies having. So the paper has a certain reference value and reference. Long-distance driving accident proneness Evaluation System Among a long-distance driving, the factors caused the accident can be divided into direct factors and indirect factors, misplay or known delays. Some research results show that the decision errors and perceptual errors are common problems in a driving process. The indirect accident can analyze from psychological factors, physiological factors and experience factors. These three areas describe the cause of the accident from different perspective. Such as the level of social pressure, mood swing and panic exist the pertinence with the long-distance driving accident happening on mentality. Therefore, we can see that the long-distance driving accident happening can be quantified from direct factors and indirect factors. The article established the tropism accident factor model for long-distance driving analysis, is based on this theory.

Study the proneness of long-distance driving accident