【摘要】：摘要：隨著我國社會經(jīng)濟的快速發(fā)展,機動車數(shù)量不斷增加,隨之產(chǎn)生的城市交通擁堵狀況日益嚴峻。為緩解交通擁堵壓力,我國相關(guān)部門采取了一系列有力措施。其中智能交通系統(tǒng)的廣泛應(yīng)用起到了關(guān)鍵性作用,而可變信息板(VMS)作為城市智能交通系統(tǒng)中的重要組成部分,在車流有效引導(dǎo)中發(fā)揮的效用愈來愈大。本文的研究工作主要是圍繞北京市道路交通可變信息板的布點方法展開。 本文首先概述了可變信息板誘導(dǎo)系統(tǒng)的定義及分類,并在對可變信息板誘導(dǎo)系統(tǒng)發(fā)布的信息內(nèi)容及其生成方式分析的基礎(chǔ)上給出了可變信息板信息誘導(dǎo)工作流程；通過對北京市可變信息板布局現(xiàn)狀的分析,總結(jié)出了北京市可變信息板布局原則,并在此基礎(chǔ)上,對北京市可變信息板布點影響因素進行了分析；通過對不同用戶誘導(dǎo)信息需求的分析,給出了正確的可變信息板布點指標,并根據(jù)可變信息板的原始數(shù)據(jù)需求分析和確定的布點指標,采集并處理了相關(guān)交通狀態(tài)數(shù)據(jù)。其次,在研究可變信息板布點方法中,本文介紹了一種基于灰色局勢決策的VMS布點方法,通過對灰色局勢決策的概念介紹和原理分析,給出了應(yīng)用其進行可變信息板布點的方法步驟,并以北京市某區(qū)域?qū)嶋H路網(wǎng)為例,驗證分析了該布點方法的有效性和實用性。在對現(xiàn)有可變信息板布點方法研究的基礎(chǔ)上,本文建立了以可變信息板信息效用最大化為目標的優(yōu)化模型,并采用模擬退火算法對其進行了求解,驗證分析了該方法的特點和優(yōu)勢。最后,以方案的準確性和可靠性為原則,對兩種可變信息板布點方法進行了對比分析,發(fā)現(xiàn)用本文所提出的基于模擬退火算法的VMS布點方法要優(yōu)于用灰色局勢決策的VMS布點方法。
[Abstract]:Absrtact: with the rapid development of social economy in China, the number of motor vehicles is increasing, and the urban traffic congestion is becoming more and more serious. In order to alleviate the pressure of traffic congestion, our relevant departments have taken a series of powerful measures. The wide application of intelligent transportation system plays a key role, and the variable information board (VMS), as an important part of urban intelligent transportation system, plays a more and more important role in the effective guidance of traffic flow. The research work of this paper is mainly focused on the location method of Beijing road traffic variable information board. In this paper, the definition and classification of variable information board induction system are summarized, and the workflow of variable information board information induction system is given on the basis of the analysis of the information content and generation method of the variable information board induction system. Based on the analysis of the present situation of the variable information board layout in Beijing, the principle of the variable information board layout in Beijing is summarized, and on this basis, the influencing factors of the variable information board placement in Beijing are analyzed. Through the analysis of different users' induced information demand, the correct variable information board placement index is given, and the relevant traffic state data are collected and processed according to the analysis of the original data requirement of the variable information board and the determined layout index. Secondly, in the study of variable information board placement method, this paper introduces a VMS placement method based on grey situation decision, and introduces the concept and principle of grey situation decision making. The method and procedure of variable information board placement are given. The validity and practicability of the method are verified and analyzed by taking the actual road network in a certain area of Beijing as an example. Based on the research of the existing variable information board placement methods, an optimization model with the aim of maximizing the information utility of the variable information board is established, and the simulated annealing algorithm is used to solve the problem. The characteristics and advantages of this method are verified and analyzed. Finally, based on the principle of accuracy and reliability of the scheme, two kinds of variable information board placement methods are compared and analyzed. It is found that the proposed VMS placement method based on simulated annealing algorithm is better than the VMS placement method based on grey situation decision.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U495

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