【摘要】：交叉口信號(hào)配時(shí)優(yōu)化作為城市交通信號(hào)控制系統(tǒng)的基礎(chǔ)環(huán)節(jié),也是交通控制管理中的重要內(nèi)容,對(duì)于緩解擁堵、規(guī)范秩序、減少污染、提高運(yùn)行效率等交通問(wèn)題的解決有著重大意義。本文以我國(guó)大量混合、擁擠的交通環(huán)境為背景進(jìn)行了單點(diǎn)交叉口和交通網(wǎng)絡(luò)信號(hào)配時(shí)優(yōu)化設(shè)計(jì),主要做了以下幾方面工作：1.總結(jié)了交通信號(hào)控制參數(shù)、交叉口性能評(píng)價(jià)指標(biāo)以及交通信號(hào)控制方案,介紹了多目標(biāo)規(guī)劃原理、雙層規(guī)劃原理以及用戶(hù)平衡網(wǎng)絡(luò)分配模型。2.以混行擁擠單點(diǎn)交叉口為研究對(duì)象,綜合考慮機(jī)動(dòng)車(chē)和行人兩種交通主體的通行效益,以機(jī)動(dòng)車(chē)平均延誤、行人平均延誤以及通行能力為指標(biāo),以飽和度為約束,建立了單點(diǎn)交叉口多目標(biāo)配時(shí)優(yōu)化模型。在機(jī)動(dòng)車(chē)平均延誤指標(biāo)的計(jì)算中,將其分為機(jī)動(dòng)車(chē)駛過(guò)交叉口的固有延誤和行人違章引起的機(jī)動(dòng)車(chē)延誤兩部分處理。設(shè)計(jì)了遺傳算法求解多目標(biāo)配時(shí)優(yōu)化模型,以重慶市典型交叉口為例,實(shí)地調(diào)查數(shù)據(jù)并帶入模型進(jìn)行優(yōu)化,驗(yàn)證了改進(jìn)模型的有效性。3.針對(duì)擁擠交通網(wǎng)絡(luò),建立了流量分配與信號(hào)配時(shí)相結(jié)合的雙層規(guī)劃模型。模型下層為UE均衡網(wǎng)絡(luò)模型,上層為以路網(wǎng)總運(yùn)行時(shí)間最小、停車(chē)次數(shù)最少為優(yōu)化目標(biāo)的多目標(biāo)模型。設(shè)計(jì)了啟發(fā)式算法與遺傳算法求解模型。以“田”字型網(wǎng)絡(luò)為算例,對(duì)網(wǎng)絡(luò)中各交叉口進(jìn)行綜合配時(shí)優(yōu)化,優(yōu)化結(jié)果顯示,路網(wǎng)總延誤與停車(chē)次數(shù)均得到有效減少。
[Abstract]:As the basic link of urban traffic signal control system, intersection signal timing optimization is also an important content of traffic control management. It can alleviate congestion, regulate order and reduce pollution. It is of great significance to solve traffic problems such as improving operation efficiency. In this paper, based on a large number of mixed and crowded traffic environment in our country, the optimal design of single-point intersection and traffic network signal timing is carried out, and the main work is as follows: 1. The traffic signal control parameters, intersection performance evaluation index and traffic signal control scheme are summarized. The principle of multi-objective programming, double-level programming and user balanced network assignment model are introduced. 2. Taking the mixed crowded single-point intersection as the research object, considering the traffic benefits of the vehicle and pedestrians, taking the vehicle average delay, the pedestrian average delay and the traffic capacity as the index, and taking the saturation as the constraint, the traffic efficiency of the vehicle and pedestrians is considered. The multi-objective timing optimization model of single-point intersection is established. In the calculation of motor vehicle average delay index, it is divided into two parts: the inherent delay of motor vehicle passing the intersection and the vehicle delay caused by pedestrian violation. The genetic algorithm is designed to solve the multi-objective timing optimization model. Taking the typical intersection in Chongqing as an example, the field survey data and the model are brought into the optimization model to verify the effectiveness of the improved model. 3. A bilevel programming model combining traffic assignment and signal timing is established for traffic congestion networks. The lower layer of the model is the UE equilibrium network model, and the upper layer is a multi-objective model with the minimum total running time of the road network and the minimum number of parking times as the optimization objectives. Heuristic algorithm and genetic algorithm are designed to solve the model. Taking the "Tian" shape network as an example, the integrated time allocation optimization is carried out at each intersection in the network. The optimization results show that the total delay and parking times of the network are effectively reduced.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：U491.54

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本文編號(hào)：2456564