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城市主干路交叉口直行待行區(qū)相位差優(yōu)化研究

發(fā)布時(shí)間:2018-09-13 07:51
【摘要】:交叉口的延誤是城市主干路延誤的主要組成部分,對(duì)于交叉口的研究是交通領(lǐng)域的研究熱點(diǎn)之一。直行待行區(qū)是減小交叉口延誤的有效措施,相位差優(yōu)化能夠使得整條主干路的延誤盡可能的達(dá)到最小。以往的相位差優(yōu)化模型并未考慮設(shè)置了直行待行區(qū)的交叉口的情況,故主干路交叉口直行待行區(qū)的延誤并未盡可能達(dá)到最小。針對(duì)以上問(wèn)題,本文在交叉口設(shè)置直行待行區(qū)情況下,從上下行兩個(gè)方面根據(jù)車(chē)輛守恒,基于相位差分析了交叉口延誤,其中主干路中起點(diǎn)交叉口和終點(diǎn)交叉口的延誤只考慮車(chē)輛駛離開(kāi)主干路產(chǎn)生的延誤,其余交叉口的延誤考慮上下行的延誤;在交通波理論基礎(chǔ)上,以續(xù)進(jìn)式控制為例,從排隊(duì)長(zhǎng)度角度出發(fā)分析了相位差的取值范圍;最后,結(jié)合一般交叉口的延誤和相位差取值范圍建立了某幾個(gè)交叉口設(shè)置直行待行區(qū)的城市主干路相位差優(yōu)化模型。最優(yōu)相位差求解采取改進(jìn)的遺傳算法;同時(shí),針對(duì)選擇操作易陷入局部最優(yōu)、交叉和變異操作采用固定概率不利于求解最優(yōu)結(jié)果等問(wèn)題,在選擇階段提出改進(jìn)選擇策略、交叉和變異階段采用自適應(yīng)的交叉概率和變異概率;針對(duì)相位差存在約束和罰函數(shù)法會(huì)增加計(jì)算復(fù)雜度等問(wèn)題設(shè)計(jì)了算子修正法。最后,在matlab平臺(tái)采用改進(jìn)的遺傳算法和遺傳算法分別求解最小延誤下的最優(yōu)相位差,仿真結(jié)果證明了改進(jìn)的遺傳算法較遺傳算法收斂速度更快,更穩(wěn)定。2個(gè)交通實(shí)例路況結(jié)合最優(yōu)相位差在vissim平臺(tái)進(jìn)行仿真,通過(guò)各交叉口的相位差優(yōu)化前后延誤對(duì)比證明了模型的正確性;本文模型、文獻(xiàn)[13]模型求解的受直行待行區(qū)影響的交叉口延誤對(duì)比證明了模型的有效性。
[Abstract]:Intersections delay is the main part of urban trunk road delay, and the research of intersection is one of the research hotspots in traffic field. The straight line waiting area is an effective measure to reduce the intersection delay. The phase difference optimization can minimize the delay of the whole trunk road as far as possible. The previous phase difference optimization model did not consider the situation of the intersection with the straight line waiting area, so the delay of the straight line waiting area of the main road intersection was not minimized as far as possible. In view of the above problems, this paper analyzes the intersection delay from the two aspects of vehicle conservation, based on phase difference, under the condition of setting up the straight line waiting area at the intersection. The delay at the starting and end points of the trunk road only considers the delay caused by the vehicle leaving the main road, and the delay at the other intersections considers the delay of the upper and lower directions. On the basis of the traffic wave theory, the continuous control is taken as an example. From the point of view of queue length, the range of phase difference is analyzed, and finally, combining with the delay and phase difference range of general intersection, the phase difference optimization model of some intersections with straight line waiting area is established. An improved genetic algorithm is adopted to solve the optimal phase difference. At the same time, an improved selection strategy is proposed to solve the problem that the selection operation is easy to fall into the local optimum, and the fixed probability of the crossover and mutation operations is not conducive to the solution of the optimal result. In the phase of crossover and mutation, adaptive crossover probability and mutation probability are adopted, and an operator correction method is designed to solve the problem that the phase difference has constraints and the penalty function method increases the computational complexity. Finally, the improved genetic algorithm and genetic algorithm are used to solve the optimal phase difference under the minimum delay on the matlab platform respectively. The simulation results show that the improved genetic algorithm converges faster than the genetic algorithm. Two traffic examples combined with the optimal phase difference are simulated on the vissim platform. The model is proved to be correct by comparing the delay before and after the phase difference optimization at each intersection. The validity of the model is proved by comparison of intersections delay affected by the straight waiting area in reference [13].
【學(xué)位授予單位】:山東科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:U491

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