本文選題：貨運(yùn)交通 + 限行政策��； 參考：《北京交通大學(xué)》2014年碩士論文

【摘要】：進(jìn)入21世紀(jì)后,隨著電子商務(wù)活動(dòng)的爆發(fā)性增長(zhǎng),城市物流服務(wù)需求也在顯著增加,這對(duì)其發(fā)展提出了更高要求的挑戰(zhàn)。物流業(yè)調(diào)整和振興規(guī)劃為北京市貨運(yùn)交通行業(yè)發(fā)展帶來了新的發(fā)展機(jī)遇。以此為契機(jī),北京市如何制定適合本市貨運(yùn)交通行業(yè)發(fā)展的對(duì)策顯得極為迫切和重要。而作為貨運(yùn)交通精細(xì)化管理的手段之一,本文提出開發(fā)面向決策的城市道路貨運(yùn)交通動(dòng)態(tài)協(xié)調(diào)信息系統(tǒng)。 首先,本文從北京市貨運(yùn)交通系統(tǒng)的構(gòu)成,如貨運(yùn)需求、貨運(yùn)基礎(chǔ)設(shè)施、載運(yùn)工具、組織管理模式及智能信息技術(shù)等方面入手,了解北京市貨運(yùn)現(xiàn)狀,并調(diào)查國(guó)內(nèi)外典型城市貨運(yùn)限行政策,指出當(dāng)前北京市貨運(yùn)交通管理措施存在的問題。 其次,明確道路貨運(yùn)交通動(dòng)態(tài)協(xié)調(diào)信息系統(tǒng)建設(shè)的意義,對(duì)系統(tǒng)進(jìn)行了可行性分析及需求用例分析,給出了詳細(xì)的UML用例圖和事件流文檔,通過系統(tǒng)對(duì)象設(shè)計(jì)定義基本類與對(duì)象,并以貨車動(dòng)態(tài)通行子系統(tǒng)中貨車通行動(dòng)態(tài)配置功能為例,詳細(xì)描述其動(dòng)態(tài)模型。 之后,研究系統(tǒng)決策過程中不同子系統(tǒng)所涉及的相關(guān)模型：交通運(yùn)行情況監(jiān)控子系統(tǒng)基于k-means算法的交通擁堵區(qū)域劃分和基于光流場(chǎng)的交通擁堵區(qū)域演變分析監(jiān)控交通擁堵變化；貨車通行動(dòng)態(tài)優(yōu)化子系統(tǒng)為了針對(duì)不同區(qū)域的交通情況進(jìn)行不同的貨車通行管理,將人工免疫網(wǎng)絡(luò)算法應(yīng)用在交通時(shí)段自動(dòng)劃分模型上,并提出了基于仿真優(yōu)化算法的限行時(shí)段動(dòng)態(tài)通行優(yōu)化模型,以實(shí)現(xiàn)貨運(yùn)交通資源的動(dòng)態(tài)協(xié)調(diào)優(yōu)化；收集北京市交通委發(fā)布的全路網(wǎng)、城六區(qū)及各環(huán)路路網(wǎng)交通速度的數(shù)據(jù),經(jīng)過線性插值法及徑向基函數(shù)神經(jīng)網(wǎng)絡(luò)算法進(jìn)行缺失數(shù)據(jù)的修復(fù),通過實(shí)例驗(yàn)證模型的有效性。 最后,根據(jù)系統(tǒng)分析與設(shè)計(jì),基于jfreechart、matlab、數(shù)據(jù)庫等技術(shù)進(jìn)行了通行證申請(qǐng)審批、限行時(shí)段動(dòng)態(tài)通行優(yōu)化、交通流數(shù)據(jù)統(tǒng)計(jì)、異常數(shù)據(jù)管理等關(guān)鍵功能的實(shí)現(xiàn)。
[Abstract]:After entering the 21st century, with the explosive growth of e-commerce activities, the demand for urban logistics services is also increasing significantly, which poses a higher challenge to its development. Logistics industry adjustment and revitalization plan for Beijing freight transport industry development brought new development opportunities. Taking this as an opportunity, it is very urgent and important for Beijing to formulate countermeasures suitable for the development of freight transportation industry in Beijing. As one of the methods of fine management of freight transportation, this paper presents a decision oriented dynamic coordination information system for urban road freight transportation. First of all, this paper starts with the constitution of Beijing freight transportation system, such as freight transport demand, freight infrastructure, transportation tools, organization and management mode and intelligent information technology, to understand the current situation of freight transportation in Beijing. It also investigates the typical urban freight transport restriction policies at home and abroad, and points out the problems existing in the current management measures of freight transportation in Beijing. Secondly, the significance of the construction of road freight transportation dynamic coordination information system is clarified, the feasibility analysis and requirement case analysis of the system are carried out, and the detailed UML use case diagram and event flow document are given. The basic classes and objects are defined by the system object design, and the dynamic model is described in detail by taking the dynamic configuration function of freight car traffic in the freight car dynamic passage subsystem as an example. Then the relevant models of different subsystems in the decision-making process are studied: traffic traffic monitoring subsystem based on k-means algorithm traffic congestion area division and optical flow field based traffic congestion area evolution analysis monitoring traffic congestion change; In order to carry out different traffic management for different regions, the artificial immune network algorithm is applied to the automatic division model of traffic time. In order to realize the dynamic coordination and optimization of freight transportation resources, the traffic speed data of the whole road network, six districts and each loop road network issued by the Beijing Municipal Transportation Commission are collected, and the dynamic traffic optimization model of the restricted period based on the simulation optimization algorithm is put forward. The missing data is repaired by linear interpolation and radial basis function neural network algorithm, and the validity of the model is verified by an example. Finally, according to the system analysis and design, based on the technology of jfreechart matlaband database, the key functions such as permit approval, dynamic traffic optimization, traffic flow statistics, abnormal data management and so on are realized.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U492.3;U495

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 韋欽平;邵維;劉飛燕;;基于動(dòng)態(tài)規(guī)劃迭代法的最小H圈路徑優(yōu)化研究[J];長(zhǎng)沙大學(xué)學(xué)報(bào);2012年02期

2 林震,楊浩;我國(guó)城市貨運(yùn)交通可持續(xù)發(fā)展問題探討[J];公路交通科技;2003年02期

3 周江評(píng),Hyeon-shic Shin;美國(guó)貨運(yùn)交通規(guī)劃及教育:Kazuya Kawamura教授訪問記[J];國(guó)外城市規(guī)劃;2005年04期

4 倪利華;陳笑蓉;;ARIMA模型結(jié)合小波去噪的貴陽城市交通流預(yù)測(cè)[J];貴州大學(xué)學(xué)報(bào)(自然科學(xué)版);2011年05期

5 金春玉;鄭瑞平;劉洪;李欣;;短時(shí)交通流預(yù)測(cè)研究[J];華東公路;2011年03期

6 劉宗明;賈志絢;李興莉;;基于灰色馬爾科夫鏈模型的交通量預(yù)測(cè)[J];華東交通大學(xué)學(xué)報(bào);2012年01期

7 李奎;王堅(jiān);;基于微觀仿真的快速路短時(shí)交通流預(yù)測(cè)[J];安徽理工大學(xué)學(xué)報(bào)(自然科學(xué)版);2008年04期

8 戴紅;郭盛威;;基于模糊回歸的交通流量預(yù)測(cè)模型[J];吉林工程技術(shù)師范學(xué)院學(xué)報(bào);2011年06期

9 張忠平;李巖;楊靜;;基于矩陣的頻繁項(xiàng)集挖掘算法[J];計(jì)算機(jī)工程;2009年01期

10 胡順仁;陳偉民;符玉梅;;基于神經(jīng)網(wǎng)絡(luò)的不可靠數(shù)據(jù)恢復(fù)研究[J];計(jì)算機(jī)仿真;2007年07期

相關(guān)博士學(xué)位論文 前2條

1 孫曉梅;多源交通信息下的動(dòng)態(tài)路徑選擇模型與方法研究[D];吉林大學(xué);2011年

2 陳萍;啟發(fā)式算法及其在車輛路徑問題中的應(yīng)用[D];北京交通大學(xué);2009年

，

本文編號(hào)：1868816