高速公路常態(tài)性霧區(qū)行車智能誘導(dǎo)策略研究
發(fā)布時(shí)間：2018-07-16 21:42
【摘要】：霧長期以來一直是影響高速公路運(yùn)營安全與效率的重要因素之一,尤其是當(dāng)前經(jīng)濟(jì)發(fā)展的背景下,霧、霾天氣頻發(fā),其影響范圍增廣,防范難度隨之加大,大霧天氣誘發(fā)的多車連環(huán)追尾事故早已屢見不鮮。論文以貴州省交通運(yùn)輸廳科技項(xiàng)目—仁赤高速公路交通安全保障關(guān)鍵問題研究與示范應(yīng)用(合同編號(hào)GZSGLJKYWT-2013-01)為依托,在大量查閱國內(nèi)外有關(guān)霧天交通安全的文獻(xiàn)基礎(chǔ)上,通過分析高速公路霧區(qū)車輛運(yùn)行特征與事故特征,以交通流理論為基礎(chǔ)建立了自適應(yīng)神經(jīng)網(wǎng)絡(luò)模型,并得到高速公路霧區(qū)速度、車距控制策略,據(jù)此對(duì)霧區(qū)智能誘導(dǎo)系統(tǒng)的參數(shù)設(shè)置進(jìn)行研究,具體工作如下:首先,論文利用國內(nèi)外大量研究成果從宏觀和微觀兩個(gè)層面分析了霧區(qū)路段交通運(yùn)行狀況,以交通流理論為工具,從宏觀的角度分析得出保障車流安全、順暢運(yùn)行效率的控制方程,再以此為契機(jī),深入到微觀層面,以車速、車距為控制目標(biāo),結(jié)合前人已有的研究成果尋求控制霧區(qū)路段車輛安全順暢運(yùn)行的微觀約束方程;其次,根據(jù)微觀約束方程獲取準(zhǔn)則數(shù)據(jù)對(duì),并以此作為自適應(yīng)神經(jīng)網(wǎng)絡(luò)的訓(xùn)練數(shù)據(jù),利用MATLAB建立霧天車速控制的自適應(yīng)神經(jīng)網(wǎng)絡(luò)模型,并利用準(zhǔn)則數(shù)據(jù)對(duì)模型進(jìn)行有效性檢驗(yàn),應(yīng)用模型對(duì)微觀約束方程加以論證,說明其合理性并提出一定能見度、交通量、路面濕滑狀況下的車速、車距控制策略,結(jié)合vissim仿真獲取虛擬狀態(tài)下的行程時(shí)間進(jìn)行分析,說明速度誘導(dǎo)策略的有效性;再次,闡明霧區(qū)智能誘導(dǎo)系統(tǒng)的概念、基本框架、功能結(jié)構(gòu)等,根據(jù)車距控制策略制定系統(tǒng)的控制策略,車速控制策略則作為信息發(fā)布系統(tǒng)的輸出內(nèi)容,以誘導(dǎo)系統(tǒng)與信息發(fā)布系統(tǒng)兩者為技術(shù)策略從視覺上誘導(dǎo)駕駛員控制車輛安全行駛,并介紹系統(tǒng)在實(shí)際工程中的應(yīng)用與效果,說明其對(duì)保障常態(tài)性霧區(qū)交通安全所起的積極作用;最后,建立高速公路霧區(qū)交通安全分級(jí)評(píng)價(jià)指標(biāo)體系,研究高速公路霧區(qū)安全性分級(jí)評(píng)價(jià)方法,用以評(píng)估策略的應(yīng)用效果,誘導(dǎo)管理者采取不同等級(jí)的應(yīng)對(duì)方案,通過實(shí)例對(duì)比分析說明評(píng)價(jià)方法可靠;介紹了霧區(qū)交通安全的管控對(duì)策。論文建立的自適應(yīng)神經(jīng)網(wǎng)絡(luò)模型可植入霧區(qū)智能誘導(dǎo)系統(tǒng),方便車輛的自適應(yīng)控制,也為后續(xù)研究奠定了理論基礎(chǔ);所提出的低能見度下的車速、車距控制策略使得霧天高速公路機(jī)械式管控輕重有別、緩急有序、愈加靈活合理。霧區(qū)智能誘導(dǎo)系統(tǒng)適用于高速公路大霧頻發(fā)的路段,為解決霧區(qū)交通安全保障問題提供了新的思路與方法,對(duì)高速公路的交通安全與暢通具有積極的作用。
[Abstract]:Fog has long been one of the important factors that affect the safety and efficiency of expressway operation. Especially under the background of current economic development, fog and haze weather occur frequently, and the influence range increases and the prevention difficulty increases. Heavy fog weather induced multiple car chain tail accident has long been common. Based on the research and demonstration application of the key problems of traffic safety and security of Renchi Expressway (contract No. GZSGLJKYWT-2013-01), the thesis is based on the scientific and technological project of Guizhou Provincial Traffic and Transportation Department, and on the basis of consulting a large number of documents on traffic safety in foggy days at home and abroad. Based on the traffic flow theory, an adaptive neural network model is established by analyzing the characteristics of vehicle operation and accident in the fog zone of expressway, and the control strategy of speed and distance between vehicles in the fog zone of expressway is obtained. According to this, the parameter setting of intelligent guidance system in fog area is studied. The specific work is as follows: firstly, the paper analyzes the traffic condition of fog zone from macro and micro aspects by using a large number of research results at home and abroad. With traffic flow theory as a tool, the control equation of ensuring the safety and smooth running efficiency of traffic flow is obtained from the macroscopic angle, and then it is taken as an opportunity to go deep into the micro level and take the speed and distance as the control target. Combined with the previous research results, we seek the microscopic constraint equation to control the safe and smooth operation of vehicles in fog zone. Secondly, we obtain the criterion data pair according to the microscopic constraint equation, and take it as the training data of adaptive neural network. The adaptive neural network model of speed control in fog weather is established by MATLAB, and the validity of the model is tested by the criterion data. The microscopic constraint equation is proved by the model, and the rationality of the model is proved, and the visibility and traffic volume are given. The speed and distance control strategy under the condition of wet slippery road surface, combined with vissim simulation to obtain the travel time under the virtual state are analyzed to illustrate the effectiveness of the speed guidance strategy. Thirdly, the concept and basic framework of the intelligent guidance system in fog zone are expounded. Function structure and so on, according to the vehicle distance control strategy to formulate the system control strategy, the speed control strategy is used as the information release system output content, In this paper, the guidance system and the information publishing system are taken as the technical strategies to guide the driver to control the safe driving of the vehicle visually, and the application and effect of the system in the practical engineering are introduced. It shows that it plays an active role in ensuring the traffic safety in the normal fog area. Finally, the index system of traffic safety grading in the fog zone of expressway is established, and the evaluation method of the safety grade in the fog zone of expressway is studied to evaluate the application effect of the strategy. This paper induces managers to adopt different levels of coping schemes, and shows that the evaluation method is reliable through the comparative analysis of examples, and introduces the control measures of traffic safety in fog area. The adaptive neural network model established in this paper can be implanted into the intelligent guidance system of fog zone, which is convenient for the adaptive control of vehicles and lays a theoretical foundation for further research. The distance control strategy makes the mechanical control of foggy expressway more flexible and reasonable. The intelligent guidance system of fog zone is suitable for the section of expressway with frequent fog, which provides a new way of thinking and method to solve the problem of traffic safety in fog area, and plays an active role in the traffic safety and smooth of expressway.
【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U495
本文編號(hào)：2127755
[Abstract]:Fog has long been one of the important factors that affect the safety and efficiency of expressway operation. Especially under the background of current economic development, fog and haze weather occur frequently, and the influence range increases and the prevention difficulty increases. Heavy fog weather induced multiple car chain tail accident has long been common. Based on the research and demonstration application of the key problems of traffic safety and security of Renchi Expressway (contract No. GZSGLJKYWT-2013-01), the thesis is based on the scientific and technological project of Guizhou Provincial Traffic and Transportation Department, and on the basis of consulting a large number of documents on traffic safety in foggy days at home and abroad. Based on the traffic flow theory, an adaptive neural network model is established by analyzing the characteristics of vehicle operation and accident in the fog zone of expressway, and the control strategy of speed and distance between vehicles in the fog zone of expressway is obtained. According to this, the parameter setting of intelligent guidance system in fog area is studied. The specific work is as follows: firstly, the paper analyzes the traffic condition of fog zone from macro and micro aspects by using a large number of research results at home and abroad. With traffic flow theory as a tool, the control equation of ensuring the safety and smooth running efficiency of traffic flow is obtained from the macroscopic angle, and then it is taken as an opportunity to go deep into the micro level and take the speed and distance as the control target. Combined with the previous research results, we seek the microscopic constraint equation to control the safe and smooth operation of vehicles in fog zone. Secondly, we obtain the criterion data pair according to the microscopic constraint equation, and take it as the training data of adaptive neural network. The adaptive neural network model of speed control in fog weather is established by MATLAB, and the validity of the model is tested by the criterion data. The microscopic constraint equation is proved by the model, and the rationality of the model is proved, and the visibility and traffic volume are given. The speed and distance control strategy under the condition of wet slippery road surface, combined with vissim simulation to obtain the travel time under the virtual state are analyzed to illustrate the effectiveness of the speed guidance strategy. Thirdly, the concept and basic framework of the intelligent guidance system in fog zone are expounded. Function structure and so on, according to the vehicle distance control strategy to formulate the system control strategy, the speed control strategy is used as the information release system output content, In this paper, the guidance system and the information publishing system are taken as the technical strategies to guide the driver to control the safe driving of the vehicle visually, and the application and effect of the system in the practical engineering are introduced. It shows that it plays an active role in ensuring the traffic safety in the normal fog area. Finally, the index system of traffic safety grading in the fog zone of expressway is established, and the evaluation method of the safety grade in the fog zone of expressway is studied to evaluate the application effect of the strategy. This paper induces managers to adopt different levels of coping schemes, and shows that the evaluation method is reliable through the comparative analysis of examples, and introduces the control measures of traffic safety in fog area. The adaptive neural network model established in this paper can be implanted into the intelligent guidance system of fog zone, which is convenient for the adaptive control of vehicles and lays a theoretical foundation for further research. The distance control strategy makes the mechanical control of foggy expressway more flexible and reasonable. The intelligent guidance system of fog zone is suitable for the section of expressway with frequent fog, which provides a new way of thinking and method to solve the problem of traffic safety in fog area, and plays an active role in the traffic safety and smooth of expressway.
【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U495
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