【摘要】：21世紀以來,隨著城市化率的不斷攀升和社會經濟的快速發(fā)展,城市汽車保有量逐年劇增,城市道路交通供需矛盾與日劇增,從而引發(fā)一系列的交通問題,對城市道路交通的安全性和運行效率造成嚴重影響,特別在山地城市尤為突出,由于先天自然條件限制,山地城市路網可靠度較低,汽車保有量的增加對城市道路交通運行帶來的沖擊更大,更容易引起交通事件和交通擁堵。因此,為緩解山地城市交通擁堵、提高城市交通運行質量,對作為交通誘導和交通控制基礎的山地城市道路交通狀態(tài)進行準確的判別至關重要。城市路網由路段和道路交叉口組成,本文以山地城市道路交通狀態(tài)判別為研究對象,對山地城市路橋連接路段、道路與隧道連接路段和道路交叉口實時交通狀態(tài)進行判別研究。路段和道路交叉口的交通狀態(tài)體現(xiàn)出城市整體的出行質量。文章建立基于模糊函數(shù)的道路交通狀態(tài)判別模型對交通狀態(tài)進行判別。主要的研究工作為:首先,對山地城市路段和道路交叉口交通流數(shù)據(jù)的采集與預處理進行了研究,分析山地城市道路交通流的特征參數(shù),為山地城市道路交通狀態(tài)的判別提供理論支持和數(shù)據(jù)基礎。其次,在詳細分析和總結前人對城市道路交通狀態(tài)相關研究成果的基礎上,明確既有判別方法存在的不足之處,結合山地城市道路交通特性,選取交通狀態(tài)判別指標、構建判別標準體系;針對山地城市路段和道路交叉口的交通狀態(tài)數(shù)據(jù)特點,應用交通擁堵綜合測度值方法對交通狀態(tài)判別研究,構建基于模糊函數(shù)的道路交通狀態(tài)判別模型,同時引入Relief算法理論,分析各交通指標參數(shù)在聚類中的特征權重,確定山地城市道路交通狀態(tài)的最佳類數(shù)。最后,通過實際案例分析對判別方法和判別模型進行有效性驗證,驗證過程和結果表明模型判別結果比較準確,可信度較高。通過上述分析研究,本文提出了一種適用于山地城市道路交通狀態(tài)判別的方法,智能交通的運用是解決城市交通擁堵問題的有效手段,本研究將以此為基點,進一步將城市道路交通狀態(tài)判別理論應用到交通管理和控制中。但文中的判別方法和判別模型目前均處于理論研究階段,而判別模型的進一步檢驗以及判別方法的改善則需要進行城市路網的實際應用,在具體的交通實踐中去發(fā)現(xiàn)和完善,使之更加契合于山地城市道路交通管理和控制,以期得到更為廣泛的應用。
[Abstract]:Since the 21st century, with the increasing rate of urbanization and the rapid development of social economy, the number of urban car ownership has increased sharply year by year, and the contradiction between supply and demand of urban road traffic has increased dramatically, which leads to a series of traffic problems. It has a serious impact on the safety and operational efficiency of urban road traffic, especially in mountainous cities. Due to the inherent natural constraints, the reliability of urban road network in mountainous cities is low. The increase of vehicle ownership has a greater impact on urban road traffic, and it is easy to cause traffic incidents and traffic congestion. Therefore, in order to alleviate the traffic congestion and improve the quality of urban traffic, it is very important to accurately judge the road traffic status of mountainous cities, which is the basis of traffic guidance and traffic control. The urban road network is composed of road sections and road intersections. In this paper, the real-time traffic status of road-bridge link section, road-tunnel link section and road intersection in mountainous cities are distinguished by the discrimination of road traffic status in mountainous cities. The traffic condition of road section and road intersection reflects the quality of the whole city trip. In this paper, a road traffic state discrimination model based on fuzzy function is established to distinguish the traffic state. The main research work is as follows: firstly, the collection and pretreatment of traffic flow data of mountain city road section and road intersection are studied, and the characteristic parameters of mountain city road traffic flow are analyzed. It provides theoretical support and data basis for the discrimination of road traffic status in mountainous cities. Secondly, on the basis of detailed analysis and summary of previous research results on urban road traffic status, the shortcomings of existing discriminant methods are clarified, and the traffic status discriminant index is selected according to the characteristics of mountainous urban road traffic. Construct the discriminant standard system; In view of the traffic state data characteristics of road sections and intersections in mountainous cities, the traffic status discrimination model based on fuzzy function is constructed by using the traffic congestion comprehensive measurement method. At the same time, the theory of Relief algorithm is introduced, and the traffic status discrimination model based on fuzzy function is established. The characteristic weight of each traffic index parameter in clustering is analyzed, and the best classification number of road traffic state in mountainous cities is determined. Finally, the validity of the discriminant method and the discriminant model is verified by the actual case analysis. The verification process and the result show that the discriminant result of the model is more accurate and the reliability is high. Through the above analysis and research, this paper puts forward a method suitable for judging the road traffic status in mountainous cities. The application of intelligent traffic is an effective means to solve the problem of urban traffic congestion, and this research will be based on this. Furthermore, the urban road traffic condition discrimination theory is applied to traffic management and control. But the discriminant method and the discriminant model in this paper are in the theoretical research stage at present, and the further examination of the discriminant model and the improvement of the discriminant method need to carry on the practical application of the urban road network, discover and perfect in the concrete traffic practice, To make it more suitable for mountain city road traffic management and control, in order to be more widely used.
【學位授予單位】：重慶交通大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U491

【參考文獻】

相關期刊論文 前2條

1 姜紫峰,劉小坤;基于神經網絡的交通事件檢測算法[J];西安公路交通大學學報;2000年03期

2 史新宏,蔡伯根;高速公路自動事件檢測算法[J];交通運輸系統(tǒng)工程與信息;2001年04期

，

本文編號：2450456