本文選題：非均衡 + 出行行為��； 參考：《長(zhǎng)沙理工大學(xué)》2015年碩士論文

【摘要】：由于交通網(wǎng)絡(luò)普遍處于非均衡狀態(tài)之中,使得城市交通網(wǎng)絡(luò)呈現(xiàn)非均衡特性。為克服傳統(tǒng)均衡理論的缺陷,利用非均衡理論研究交通流演化規(guī)律,來(lái)反映實(shí)際中交通出行決策過(guò)程,具有重要理論和現(xiàn)實(shí)意義。本文應(yīng)用經(jīng)濟(jì)學(xué)非均衡理論,研究了非均衡網(wǎng)絡(luò)交通流演化規(guī)律,主要包括非均衡交通網(wǎng)絡(luò)特性、非均衡交通網(wǎng)中出行者的出行行為、非均衡網(wǎng)絡(luò)交通流動(dòng)態(tài)演化模型、數(shù)值模擬四部分內(nèi)容,具體完成工作概括如下:1.首先通過(guò)闡述均衡與非均衡交通的定義,引入交通流分配相關(guān)理念并進(jìn)行概括,進(jìn)而明確了非均衡交通流理論的來(lái)源與基礎(chǔ),接下來(lái)結(jié)合城市交通特性與普遍性分析交通性能對(duì)時(shí)間費(fèi)用的影響,給出非均衡交通網(wǎng)絡(luò)特性并闡釋其與經(jīng)濟(jì)學(xué)中相似的特性,且從非均衡--均衡過(guò)程出發(fā)探尋出行者的出行行為規(guī)律、對(duì)交通造成的影響以及與整個(gè)交通網(wǎng)中的交通流的關(guān)系,為后續(xù)研究出行者的出行行為以及非均衡網(wǎng)絡(luò)交通流演化規(guī)律研究提供理論基礎(chǔ)。2.其次在明確了非均衡交通流理論的基礎(chǔ)上,對(duì)個(gè)體出行者出行行為進(jìn)行分析,研究出行者選擇路徑時(shí)的理性行為調(diào)整過(guò)程(RBAP),對(duì)其基本的模型與思路進(jìn)行細(xì)化且展示出其包含的五種特殊情形構(gòu)成的出行行為模型,并對(duì)每日交通分配方法進(jìn)行了總結(jié),同時(shí)為非均衡交通網(wǎng)絡(luò)交通流動(dòng)態(tài)演化模型構(gòu)建提供了理論依據(jù)。3.再次引入非均衡機(jī)制,綜合考慮出行成本和流量的調(diào)節(jié)作用,建立動(dòng)態(tài)演化模型,來(lái)描述非均衡網(wǎng)絡(luò)交通流的演化規(guī)律,然后利用變分不等式和固定點(diǎn)問(wèn)題對(duì)模型的穩(wěn)定性進(jìn)行分析。4.按照設(shè)定的調(diào)整參數(shù)和初始條件,通過(guò)對(duì)單一起點(diǎn)和終點(diǎn)的簡(jiǎn)單網(wǎng)絡(luò)進(jìn)行數(shù)值模擬,刻畫(huà)了網(wǎng)絡(luò)交通流從非均衡狀態(tài)到均衡狀態(tài)的動(dòng)態(tài)調(diào)整過(guò)程,并討論了在實(shí)際時(shí)變交通流和成本的調(diào)整過(guò)程中,非均衡狀態(tài)的變化情況。
[Abstract]:Because the traffic network is generally in the state of disequilibrium, the urban transportation network presents the disequilibrium characteristic. In order to overcome the defects of the traditional equilibrium theory, it is of great theoretical and practical significance to study the evolution law of traffic flow by using non-equilibrium theory to reflect the process of traffic travel decision-making in practice. Based on the theory of economic disequilibrium, this paper studies the evolution law of unbalanced network traffic flow, including the characteristics of unbalanced traffic network, the travel behavior of travelers in unbalanced traffic network, and the evolution model of unbalanced network traffic flow. Numerical simulation of the four parts, the specific work summarized as follows: 1. First of all, by expounding the definition of equilibrium and non-equilibrium traffic, introducing and generalizing the related concepts of traffic flow distribution, the origin and foundation of the theory of non-equilibrium traffic flow are clarified. Then, combining the characteristics of urban traffic and universality, the paper analyzes the influence of traffic performance on time cost, gives the characteristics of non-equilibrium traffic network and explains its similar characteristics to those in economics. And from the process of non-equilibrium to explore the travel behavior of travelers, the impact on the traffic and the relationship between the travel behavior and the traffic flow in the whole traffic network. It provides a theoretical basis for the further study of travelers' travel behavior and the evolution of unbalanced network traffic flow. Secondly, on the basis of the theory of non-equilibrium traffic flow, we analyze the individual travelers' travel behavior. This paper studies the rational behavior adjustment process of travelers when they choose the path, refines its basic model and ideas, and shows the travel behavior model which consists of five special cases, and summarizes the daily traffic assignment method. At the same time, it provides a theoretical basis for constructing the evolution model of traffic flow in unbalanced traffic network. After introducing the disequilibrium mechanism and considering the regulating effect of travel cost and flow, the dynamic evolution model is established to describe the evolution law of unbalanced network traffic flow. Then the stability of the model is analyzed by using variational inequality and fixed point problem. According to the set adjustment parameters and initial conditions, the dynamic adjustment process of network traffic flow from non-equilibrium state to equilibrium state is described by numerical simulation of a simple network with a single starting point and an end point. The change of unbalanced state in the process of adjusting the actual time-varying traffic flow and cost is discussed.
【學(xué)位授予單位】：長(zhǎng)沙理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U491

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本文編號(hào)：2004237