發(fā)布時(shí)間：2018-04-12 19:51

  本文選題：交通悖論 + 隨機(jī)用戶平衡��； 參考：《哈爾濱工業(yè)大學(xué)》2017年碩士論文

【摘要】：交通悖論在交通規(guī)劃與設(shè)計(jì)中的作用不容忽視。論文選用多元logit模型和多元weibit模型進(jìn)行隨機(jī)交通分配,探討擁擠效應(yīng)和隨機(jī)感知誤差對(duì)隨機(jī)交通悖論的影響。選取三種不同結(jié)構(gòu)的交通網(wǎng)絡(luò)對(duì)隨機(jī)交通悖論的產(chǎn)生特征進(jìn)行分析,分別為:簡(jiǎn)單的單起訖點(diǎn)對(duì)兩線網(wǎng)絡(luò)、單起訖點(diǎn)對(duì)多路徑網(wǎng)絡(luò)、多起訖點(diǎn)對(duì)多路徑網(wǎng)絡(luò),獲得一些一般化的結(jié)論。首先,論文從出行者出行費(fèi)用的角度分析了在改善或新增一條路段的情況下,隨機(jī)交通悖論在不同結(jié)構(gòu)的三種交通網(wǎng)絡(luò)中有何異同。對(duì)比無(wú)擁擠情況,討論了擁擠效應(yīng)及隨機(jī)感知誤差參數(shù)對(duì)隨機(jī)交通悖論產(chǎn)生條件的影響。其次,分析隨機(jī)路徑選擇模型中的感知誤差參數(shù)對(duì)出行者出行費(fèi)用的影響,研究信息悖論即增大隨機(jī)感知誤差可能導(dǎo)致網(wǎng)絡(luò)中出行者平均出行費(fèi)用降低在三種不同結(jié)構(gòu)交通網(wǎng)絡(luò)中的產(chǎn)生情況,給出信息悖論發(fā)生的需求區(qū)間,研究了是否可以通過(guò)調(diào)整隨機(jī)感知誤差參數(shù)使流量分配達(dá)到系統(tǒng)最優(yōu)。最后,論文以logit隨機(jī)分配模型為例,從出行負(fù)效用的角度研究了三種交通網(wǎng)絡(luò)中隨機(jī)交通悖論的產(chǎn)生情況,分別在改善或新增一條路段的條件下分析擁擠條件和隨機(jī)分配模型中的隨機(jī)感知誤差參數(shù)對(duì)發(fā)生悖論的邊界條件所產(chǎn)生的影響,對(duì)比其與基于出行費(fèi)用的隨機(jī)交通悖論特征的差異性。在應(yīng)用多元logit模型和多元weibit模型討論隨機(jī)交通悖論的基礎(chǔ)上,本文發(fā)現(xiàn)擁擠效應(yīng)可以顯著地影響隨機(jī)分配悖論的產(chǎn)生,討論了信息悖論的產(chǎn)生條件,說(shuō)明了隨機(jī)用戶均衡模型的平衡解可以接近系統(tǒng)最優(yōu)解,發(fā)現(xiàn)在擁擠的交通網(wǎng)絡(luò)中,基于出行負(fù)效用的隨機(jī)分配悖論可能會(huì)產(chǎn)生。本文得到的結(jié)果有助于進(jìn)行科學(xué)合理的交通管理與控制,提高道路交通效率。
[Abstract]:The role of traffic paradox in traffic planning and design can not be ignored.In this paper, the multivariate logit model and the multivariate weibit model are used for stochastic traffic assignment, and the effects of congestion effect and random perceived error on the stochastic traffic paradox are discussed.Three kinds of traffic networks with different structures are selected to analyze the characteristics of stochastic traffic paradox. They are: simple single-point to two-line network, single-origin point-to-multipath network, multi-origin point-to-multipath network.Some general conclusions are obtained.Firstly, this paper analyzes the similarities and differences of random traffic paradox in three traffic networks with different structures under the condition of improving or adding a new road section from the point of view of traveller travel cost.Compared with the case of no congestion, the effects of congestion effect and random perceptual error parameters on the production conditions of stochastic traffic paradox are discussed.Secondly, the influence of perceived error parameters in the random path selection model on the travel cost is analyzed.The information paradox, that is, increasing the random perception error, may lead to the decrease of the average travel cost in three different traffic networks, and the demand interval of the information paradox is given.This paper studies whether the optimal flow allocation can be achieved by adjusting the random perceptual error parameters.Finally, taking the logit stochastic assignment model as an example, this paper studies the generation of stochastic traffic paradox in three traffic networks from the perspective of travel negative utility.Under the condition of improving or adding a new section of road, the influence of the random perceptual error parameters in the random allocation model on the boundary condition of paradox is analyzed.The differences between the characteristics of stochastic traffic paradox based on travel cost and that based on travel cost are compared.On the basis of discussing stochastic traffic paradox by using multivariate logit model and multivariate weibit model, this paper finds that congestion effect can significantly affect the generation of stochastic distribution paradox, and discusses the conditions for generating information paradox.It is shown that the equilibrium solution of the stochastic user equilibrium model can approach the optimal solution of the system. It is found that the stochastic assignment paradox based on the travel negative utility may occur in congested traffic networks.The results obtained in this paper are helpful to scientific and reasonable traffic management and control and improve road traffic efficiency.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：F503

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