動、靜綜合駕駛適宜性條件下的駕駛?cè)诵袨樘匦匝芯?/H1>
發(fā)布時間：2018-11-09 18:39
【摘要】：大量研究表明,人的因素是造成交通事故的主要原因。從駕駛適宜性的相關(guān)理論研究表明,人因引發(fā)交通事故不僅僅與駕駛?cè)松�、心理因素有關(guān),相當(dāng)大的部分與駕駛?cè)嗽陲L(fēng)險情境中動態(tài)駕駛適宜性指標(biāo)有關(guān)。因此,研究分析駕駛?cè)藙�、靜綜合駕駛適宜性水平與駕駛行為特性之間的關(guān)系,有利于提高駕駛員駕駛適宜性的綜合評判能力,為駕駛?cè)笋{照考試的甄選、培訓(xùn)提供有效理論依據(jù)。首先,從國內(nèi)外大量研究中對以往駕駛適宜性理論的不足的總結(jié),要求駕駛?cè)藛T除必須具備基本的駕駛技能外,還要求駕駛?cè)嗽谌粘ｑ{駛的過程中做出及時的認(rèn)知、判斷、執(zhí)行等駕駛操作。其次,基于駕駛適宜性檢測系統(tǒng)和駕駛模擬系統(tǒng)KMRTDS,從62名被試駕駛?cè)说膭�、靜態(tài)駕駛適宜性指標(biāo)數(shù)據(jù)中選取有效30名被試者數(shù)據(jù)進行動、靜綜合駕駛適宜性條件下的駕駛?cè)颂匦孕袨榉治觥Ｋ员菊n題運用熵值法、主成分分析-聚類分析相結(jié)合的數(shù)據(jù)分析方法將駕駛?cè)说撵o態(tài)駕駛適宜性與風(fēng)險情境下的動態(tài)駕駛適宜性進行結(jié)合,并建立動、靜綜合駕駛適宜性條件下駕駛?cè)孙L(fēng)險感知特性的評價模型。其次,利用SAS數(shù)據(jù)分析軟件對30名被試者進行聚類分析,研究結(jié)果表明,30名被試者共分為5類;運用SPSS數(shù)據(jù)處理軟件對不同人口統(tǒng)計量的綜合駕駛適宜性做差異性檢測分析,結(jié)果表明不同性別、年齡和駕齡的駕駛?cè)司C合駕駛適宜性差異并不顯著。最后,在駕駛?cè)朔诸惖幕A(chǔ)上,研究不同類別被試者的綜合駕駛適宜性與駕駛行為之間的相關(guān)性,結(jié)果表明在樣本量足夠大的情況下一般都會有顯著性,因此后續(xù)研究中應(yīng)增大樣本容量;第Ⅳ.類被試者風(fēng)險感知特性與方向盤轉(zhuǎn)角的標(biāo)準(zhǔn)差和MAX相關(guān)性顯著,呈現(xiàn)正相關(guān);第Ⅱ類被試者風(fēng)險感知特性與縱向加速度的MAX相關(guān)性顯著,呈現(xiàn)正相關(guān);第Ⅴ類被試者風(fēng)險感知特性與縱向速度的標(biāo)準(zhǔn)差相關(guān)性顯著,呈現(xiàn)正相關(guān);而第Ⅲ類被試者風(fēng)險感知特性與5種風(fēng)險行為參數(shù)不存在顯著相關(guān)性。
[Abstract]:A large number of studies show that the human factor is the main cause of traffic accidents. The theoretical research on driving suitability shows that human induced traffic accidents are not only related to the physical and psychological factors of the driver, but also to the dynamic driving suitability index of the driver in the risk situation. Therefore, the study and analysis of the relationship between the driver's driving suitability level and driving behavior characteristics is helpful to improve the driver's comprehensive evaluation ability and to select the driver's driving license test. Training provides effective theoretical basis. First of all, from a large number of domestic and foreign studies on the shortcomings of the previous theory of driving suitability, drivers are required not only to have basic driving skills, but also to make timely cognition and judgment in the course of daily driving. Perform a driving operation. Secondly, based on the driving suitability test system and the driving simulation system KMRTDS, 30 valid subjects were selected from the dynamic and static driving fitness index data of 62 subjects. Analysis of driver's characteristic behavior under the condition of static comprehensive driving suitability. Therefore, this paper uses the method of entropy value, principal component analysis and cluster analysis to combine the static driving suitability of the driver with the dynamic driving suitability in the risk situation, and establish the dynamic driving suitability. The evaluation model of driver's risk perception under the condition of integrated driving suitability. Secondly, SAS data analysis software was used to cluster 30 subjects. The results showed that 30 subjects were divided into 5 categories. SPSS data processing software was used to detect and analyze the comprehensive driving suitability of different demographics. The results showed that there was no significant difference in comprehensive driving suitability among drivers with different sex, age and driving age. Finally, based on the classification of drivers, the correlation between comprehensive driving suitability and driving behavior of different categories of subjects is studied. The results show that there is a significant difference when the sample size is large enough. Therefore, the sample size should be increased in the follow-up study. IV. The risk perception characteristics of the subjects were positively correlated with the standard deviation of steering wheel angle and MAX, and the MAX of the longitudinal acceleration were significantly correlated with the risk perception characteristics of the subjects in the second category, and there was a positive correlation between the risk perception characteristics of the subjects and the longitudinal acceleration. The risk perception characteristics of category V subjects were positively correlated with the standard deviation of longitudinal velocity, while the risk perception characteristics of class 鈪，
本文編號：2321242
本文鏈接：http://sikaile.net/kejilunwen/daoluqiaoliang/2321242.html
[Abstract]:A large number of studies show that the human factor is the main cause of traffic accidents. The theoretical research on driving suitability shows that human induced traffic accidents are not only related to the physical and psychological factors of the driver, but also to the dynamic driving suitability index of the driver in the risk situation. Therefore, the study and analysis of the relationship between the driver's driving suitability level and driving behavior characteristics is helpful to improve the driver's comprehensive evaluation ability and to select the driver's driving license test. Training provides effective theoretical basis. First of all, from a large number of domestic and foreign studies on the shortcomings of the previous theory of driving suitability, drivers are required not only to have basic driving skills, but also to make timely cognition and judgment in the course of daily driving. Perform a driving operation. Secondly, based on the driving suitability test system and the driving simulation system KMRTDS, 30 valid subjects were selected from the dynamic and static driving fitness index data of 62 subjects. Analysis of driver's characteristic behavior under the condition of static comprehensive driving suitability. Therefore, this paper uses the method of entropy value, principal component analysis and cluster analysis to combine the static driving suitability of the driver with the dynamic driving suitability in the risk situation, and establish the dynamic driving suitability. The evaluation model of driver's risk perception under the condition of integrated driving suitability. Secondly, SAS data analysis software was used to cluster 30 subjects. The results showed that 30 subjects were divided into 5 categories. SPSS data processing software was used to detect and analyze the comprehensive driving suitability of different demographics. The results showed that there was no significant difference in comprehensive driving suitability among drivers with different sex, age and driving age. Finally, based on the classification of drivers, the correlation between comprehensive driving suitability and driving behavior of different categories of subjects is studied. The results show that there is a significant difference when the sample size is large enough. Therefore, the sample size should be increased in the follow-up study. IV. The risk perception characteristics of the subjects were positively correlated with the standard deviation of steering wheel angle and MAX, and the MAX of the longitudinal acceleration were significantly correlated with the risk perception characteristics of the subjects in the second category, and there was a positive correlation between the risk perception characteristics of the subjects and the longitudinal acceleration. The risk perception characteristics of category V subjects were positively correlated with the standard deviation of longitudinal velocity, while the risk perception characteristics of class 鈪，
本文編號：2321242
本文鏈接：http://sikaile.net/kejilunwen/daoluqiaoliang/2321242.html
教材專著
