本文關鍵詞： 交通信號控制 機動車尾氣排放 路網信號控制 雙層規(guī)劃模型 粒子群算法 慣性權重系數 變異算子　出處：《江蘇大學》2017年碩士論文　論文類型：學位論文

【摘要】：經濟的快速發(fā)展和城市化進程的加快,機動車保有量隨之迅速增加,現存的交通基礎設施和管理手段,造成交叉口的交通運行情況愈加緊迫,城市路網的通行效率日益下降,同時機動車尾氣排放在環(huán)境污染的承擔比例逐漸增高,嚴重影響人們的交通環(huán)境和生活環(huán)境。如何均衡經濟發(fā)展和交通運行環(huán)境、生活環(huán)境之間的矛盾,越來越多的學者開始對其進行研究。因此,同時考慮城市路網中的機動車尾氣排放和系統(tǒng)總阻抗,建立以其為優(yōu)化目標的交通信號控制優(yōu)化具有重要的現實意義。本文在總結國內外城市交通信號控制發(fā)展的基礎上,針對城市交通信號控制問題進行系統(tǒng)化的理論整理和分析,并對交通信號控制優(yōu)化的建模工具和求解算法詳細介紹。在此基礎上,構建城市路網交通信號控制優(yōu)化系統(tǒng)的框架,以城市路網機動車尾氣排放和系統(tǒng)總阻抗為優(yōu)化目標,建立一個多目標的城市路網交通信號控制雙層規(guī)劃模型,并設計模型的求解算法。以vissim仿真平臺對實際路網進行仿真求解和模型初始值計算,利用MATLAB軟件設計改進的粒子群算法程序求解模型,通過與初始值、仿真結果進行對比分析,證明模型和求解算法的優(yōu)越性。本文的主要研究工作總結如下:1基于對城市交通信號控制、機動車尾氣排放、雙層規(guī)劃模型及求解算法分析,運用雙層規(guī)劃的思想將交通信號控制和交通流分配相融合,設計城市道路交通信號控制優(yōu)化系統(tǒng)。該系統(tǒng)由輸入模塊、信號優(yōu)化模塊、信號評估模塊、輸出模塊組成,其中信號優(yōu)化模塊中的模型建立和求解算法是該系統(tǒng)的核心部分。2以城市路網中機動車的尾氣排放和系統(tǒng)總阻抗最優(yōu)建立上層問題的優(yōu)化函數,并對其進行加權歸一化處理;下層問題的構建采用用戶最優(yōu)的思想,最終構建一個考慮尾氣排放和系統(tǒng)總阻抗的多目標雙層規(guī)劃模型。然后在傳統(tǒng)粒子群算法的基礎上,通過設計一種自適應變化的慣性權重系數函數和變異算子,避免求解過程過早的陷入局部收斂,并運用交互迭代思想求解構建的模型。3以常州市金壇中心老城區(qū)為研究對象,建立路網拓撲圖,運用vissim仿真平臺和MATLAB軟件實現多目標雙層模型的仿真運行和模型求解,對所得的優(yōu)化結果進行分析,從機動車延誤、尾氣排放和系統(tǒng)總阻抗方面實現路網運行效率的分析,并通過調整上層問題的加權系數進行優(yōu)化結果的靈敏度分析。
[Abstract]:With the rapid development of economy and the acceleration of urbanization, the number of motor vehicles increases rapidly, and the existing traffic infrastructure and management means make the traffic operation of intersection more urgent, and the efficiency of urban road network decreases day by day. At the same time, the proportion of vehicle exhaust emission in environmental pollution is gradually increasing, which seriously affects people's traffic environment and living environment. How to balance the economic development and the contradiction between traffic environment and living environment, More and more scholars are beginning to study it. Therefore, considering the vehicle exhaust emissions and the total impedance of the system in the urban road network at the same time, It is of great practical significance to establish the traffic signal control optimization with its optimization goal. On the basis of summing up the development of urban traffic signal control at home and abroad, this paper makes a systematic theoretical arrangement and analysis of the urban traffic signal control problem. The modeling tools and solving algorithms of traffic signal control optimization are introduced in detail. On this basis, the framework of the traffic signal control optimization system of urban road network is constructed, with the vehicle exhaust emission and the total impedance of the system as the optimization objectives. A multi-objective traffic signal control bilevel programming model of urban road network is established, and the algorithm of solving the model is designed. The actual road network is simulated and the initial value of the model is calculated by using vissim simulation platform. The improved particle swarm optimization (PSO) program is designed by using MATLAB software to solve the model. The model is compared with the initial value and the simulation results. The main research work of this paper is summarized as follows: 1 based on the analysis of urban traffic signal control, vehicle exhaust emission, bilevel programming model and solution algorithm. By combining traffic signal control with traffic flow distribution, a traffic signal control and optimization system for urban road is designed, which is composed of input module, signal optimization module, signal evaluation module and output module, which is composed of input module, signal optimization module, signal evaluation module and output module. The model building and solving algorithm in the signal optimization module is the core part of the system. 2. The optimization function of the upper layer problem is established by the optimization of the vehicle exhaust emission and the total impedance of the system in the urban road network, and the weighted normalization of the function is carried out. Finally, a multi-objective bilevel programming model considering exhaust emission and total impedance of the system is constructed. Then, based on the traditional particle swarm optimization algorithm, a multi-objective bilevel programming model is constructed. By designing an adaptive inertial weight coefficient function and mutation operator to avoid premature local convergence of the solution process, the model .3 is constructed by using the interactive iterative method, and the research object is the old district of Jintan center in Changzhou. The topology diagram of the road network is established, and the simulation operation and model solution of the multi-objective double-layer model are realized by using vissim simulation platform and MATLAB software. The optimized results are analyzed, and the vehicle delay is analyzed. The efficiency of road network operation is analyzed in terms of exhaust emission and total impedance of the system, and the sensitivity of the optimization result is analyzed by adjusting the weighting coefficient of the upper layer problem.
【學位授予單位】：江蘇大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：U491.54

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本文編號：1502009