本文選題：A型單喇叭互通立交 + 匝道��； 參考：《長安大學》2015年碩士論文

【摘要】：互通式立交的設置對當地的交通狀況和經濟均有較大影響,立交匝道線形的設計優(yōu)劣直接影響其行車舒適性、安全性。近年來的關于公路智能選線的研究方興未艾,使公路的選線越來越智能化、合理化,而立交線形的優(yōu)化卻鮮有成果,本文意在諸多公路智能選線研究的基礎上,應用遺傳算法對立交匝道的線形優(yōu)化進行研究。分析了喇叭式立交的基本組成以及國內建設的實際情況,統(tǒng)計數字顯示高速公路立體交叉設置中A型單喇叭立交占據了三路立體交叉的大多數,因此基于遺傳算法基本原理、操作步驟以及應用需要解決的關鍵問題,論文研究了A型單喇叭互通立交A、B匝道(即兩個左轉匝道)的線形優(yōu)化。論文采用了曲率圖和“BET算法”作為研究立交匝道線形模型的基礎,以A、B匝道的線元為基礎確定了設計變量,根據平面線形計算方法確定了立交匝道平面線形模型;分析了縱斷面模型的形式和約束條件的數學表達形式,選取了五個評價指標,并對其進行量化,建立了簡化的、基于隸屬度函數的立交匝道線形優(yōu)化目標函數。參考基本遺傳算法基因編碼的方法,依據《公路立體交叉設計細則》對直線長度、緩和曲線長度、圓曲線半徑和圓曲線長度等線元參數的要求,確定了取值范圍,進行了編碼;并進一步討論了遺傳算法運行中的算法并行、縱斷面距離—高程模型以及目標函數約束條件轉換等問題;根據基本遺傳算法的一般步驟,設計了遺傳操作步驟及相關流程。論文確定了工程實例邊界條件后,運行所設計的遺傳算法進行模擬驗證,驗證結果表明,在簡化的工程條件下,應用遺傳算法優(yōu)化立交線形較傳統(tǒng)方法可以更高效地解決設計中的參數選取與方案評價問題。
[Abstract]:The setting of interchange has a great influence on the local traffic condition and economy. The design of the ramp alignment of the interchange has a direct impact on the ride comfort and safety. In recent years, the research on highway intelligent route selection is in the ascendant, which makes the highway route selection more and more intelligent and rational, but the optimization of interchange alignment is seldom fruitful. Genetic algorithm is applied to optimize the alignment of interchange ramp. This paper analyzes the basic composition of the loudspeaker interchange and the actual situation of the domestic construction. The statistics show that the A-type single horn interchange occupies the majority of the three-way intersecting in the freeway interchange setting, so it is based on the basic principle of genetic algorithm. The operation steps and the key problems to be solved in application are discussed in this paper. The alignment optimization of A type single horn interchange AHB ramp (that is, two left turn ramps) is studied in this paper. The curvature diagram and "BET algorithm" are used as the basis of studying the ramp alignment model, the design variables are determined on the basis of the line element of the ramp, and the plane line model of the interchange ramp is determined according to the plane line calculation method. This paper analyzes the form of longitudinal section model and the mathematical expression of constraint conditions, selects five evaluation indexes, quantifies them and establishes a simplified objective function of intersection ramp alignment optimization based on membership function. Referring to the genetic coding method of basic genetic algorithm, according to the requirements of line element parameters such as line length, easement curve length, radius of circular curve and length of circular curve, the range of values is determined and coded according to the rules of Highway Crossing Design. The parallel algorithm, the vertical section distance-height model and the transformation of the constraint condition of the objective function are discussed. According to the general steps of the basic genetic algorithm, the genetic operation steps and the related flow are designed. After the boundary condition of engineering example is determined, the genetic algorithm is run to simulate and verify, and the result shows that, under the simplified engineering condition, The problem of parameter selection and scheme evaluation in design can be solved more efficiently by genetic algorithm than the traditional method.
【學位授予單位】：長安大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U412.352.1

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本文編號：1980125