本文選題：草原道路 + 疲勞　； 參考：《內(nèi)蒙古農(nóng)業(yè)大學(xué)》2014年碩士論文

【摘要】：近年來(lái)隨著草原人民生活水平的不斷提高和草原旅游業(yè)的不斷發(fā)展,草原地區(qū)機(jī)動(dòng)車保有量不斷提高,公路網(wǎng)密度和通車?yán)锍讨鹉暝鲩L(zhǎng),導(dǎo)致草原地區(qū)交通事故逐年增加,其中因駕駛疲勞而導(dǎo)致的交通事故占有很大的比例。所以,及時(shí)判別駕駛疲勞并有效預(yù)防和阻止駕駛疲勞的發(fā)生,對(duì)減少草原地區(qū)交通事故并提高草原道路交通安全,具有至關(guān)重要的意義。目前腦電信號(hào)一直被國(guó)內(nèi)外很多學(xué)者認(rèn)為是反映駕駛疲勞的“金指標(biāo)”,但很多學(xué)者只是研究了駕駛員處于清醒狀態(tài)及疲勞狀態(tài)的腦電信號(hào)比率值的差異,而對(duì)駕駛員處于這兩種狀態(tài)腦電信號(hào)參照閾的研究卻鮮有報(bào)道。為了保障駕駛員的行車安全,判別駕駛員行車過程中所處狀態(tài),就需要對(duì)駕駛員腦電信號(hào)參照閾進(jìn)行準(zhǔn)確的限定。因此本文通過研究草原道路上駕駛員腦電信號(hào)的參照閾,來(lái)判定駕駛員的清醒狀態(tài)和疲勞狀態(tài),進(jìn)而預(yù)防因駕駛疲勞所引發(fā)的草原公路交通事故。 本文以駕駛員在草原道路上行車過程中的腦電信號(hào)為研究對(duì)象,通過對(duì)實(shí)駕實(shí)驗(yàn)所采集到的駕駛員腦電信號(hào)α/β及(α+θ)/β的比率值做配對(duì)T檢驗(yàn),判斷出駕駛員處于清醒狀態(tài)和疲勞狀態(tài)的時(shí)間段,并通過主觀調(diào)查問卷驗(yàn)證了本文所劃分時(shí)間段的合理性。然后結(jié)合主成分析法中累計(jì)貢獻(xiàn)率思想提出了一種簡(jiǎn)單而精確的參照閾計(jì)算方法,最終得到駕駛員處于清醒狀態(tài)和疲勞狀態(tài)腦電信號(hào)的參照閾。結(jié)果證明本算法能準(zhǔn)確快速的確定駕駛員行車過程中腦電信號(hào)的參照閾,在駕駛員駕駛行為各指標(biāo)的計(jì)算中具有普遍適用性,有利于后期對(duì)駕駛疲勞檢測(cè)的研究。本文得出的主要結(jié)論有：(1)結(jié)合主成分分析法,提出了一種適于計(jì)算參照閾的算法。(2)應(yīng)用AcqKnowledge軟件對(duì)腦電波進(jìn)行分析,得到駕駛員腦電信號(hào)中α/β和(α+θ)/β的比值隨著駕駛疲勞的加強(qiáng)會(huì)出現(xiàn)上升的趨勢(shì)。(3)草原道路駕駛員在20-30min左右首次出現(xiàn)疲勞狀態(tài)。(4)駕駛員處于清醒狀態(tài)時(shí)腦電信號(hào)中的α波參照閾為：9-13.08Hz；β波參照閾為：16.23～19.28Hz；θ波參照閾為：4.73-5.07Hz。駕駛員處于疲勞狀態(tài)時(shí)腦電信號(hào)中α波參照閾為：7.99-9Hz；p波參照閾為：13.91-16.23Hz；θ波參照閾為：5.17～5.41Hz。
[Abstract]:In recent years, with the continuous improvement of the people's living standards and the continuous development of the grassland tourism industry, the number of motor vehicles in the grassland area is increasing, the density of highway network and the mileage of the highway network are increasing year by year, which leads to the increase of traffic accidents in the grassland area year by year. Among them, traffic accidents caused by driving fatigue occupy a large proportion. So it is very important to distinguish driving fatigue and prevent driving fatigue in time to reduce traffic accidents and improve road traffic safety in grassland area. At present, EEG signals have been regarded by many scholars at home and abroad as "golden indicators" to reflect driving fatigue. However, many scholars have only studied the differences in the ratio of EEG signals in the awake and fatigue states of drivers. However, there are few reports on the reference threshold of EEG signals in these two states. In order to ensure the driver's driving safety and distinguish the driver's state in the driving process, it is necessary to define the driver's EEG reference threshold accurately. Therefore, by studying the reference threshold of the driver's EEG on the steppe road, this paper determines the driver's awake state and fatigue state. In order to prevent the traffic accidents caused by driving fatigue, this paper takes the EEG signal of the driver driving on the prairie road as the research object. The ratio values of EEG 偽 / 尾 and (偽 胃) / 尾 were tested by paired T test, and the time period of the driver's waking state and fatigue state was determined by the T test of the ratio of 偽 / 尾 and (偽 胃) / 尾, which were collected from the actual driving experiment. The rationality of the time period is verified by subjective questionnaire. Then a simple and accurate calculation method of reference threshold is proposed based on the idea of cumulative contribution rate in principal component analysis method. Finally the reference threshold of EEG signal in awake state and fatigue state of driver is obtained. The results show that this algorithm can accurately and quickly determine the reference threshold of EEG in driver driving process, and it has universal applicability in the calculation of drivers' driving behavior, which is beneficial to the later study of driving fatigue detection. The main conclusions of this paper are: (1) combining with principal component analysis (PCA), a new algorithm for calculating reference threshold is proposed. (2) using AcqKnowledge software to analyze brain waves. The results show that the ratio of 偽 / 尾 and (偽 胃 O / 尾) in driver's EEG signal will increase with the increase of driving fatigue.) the steppe road driver appears fatigue state for the first time around 20-30min. The reference threshold of 偽 wave is: 9-13.08 Hz; the reference threshold of 尾 wave is 1: 16.23 ~ 19. 28 Hz; the reference threshold of 胃 wave is 1: 4.73-5. 07 Hz. When the driver is in the fatigue state, the reference threshold of 偽 wave in EEG signal is: 1: 7.99-9HzP wave reference threshold: 1: 13.91-16.23 Hz, and the 胃 wave reference threshold is: 5. 17 ~ 5. 41Hz.
【學(xué)位授予單位】：內(nèi)蒙古農(nóng)業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U491.25

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