本文選題：貨運交通 + 限行政策�。� 參考：《北京交通大學》2014年碩士論文

【摘要】：進入21世紀后,隨著電子商務活動的爆發(fā)性增長,城市物流服務需求也在顯著增加,這對其發(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)劃為北京市貨運交通行業(yè)發(fā)展帶來了新的發(fā)展機遇。以此為契機,北京市如何制定適合本市貨運交通行業(yè)發(fā)展的對策顯得極為迫切和重要。而作為貨運交通精細化管理的手段之一,本文提出開發(fā)面向決策的城市道路貨運交通動態(tài)協(xié)調(diào)信息系統(tǒng)。 首先,本文從北京市貨運交通系統(tǒng)的構(gòu)成,如貨運需求、貨運基礎設施、載運工具、組織管理模式及智能信息技術等方面入手,了解北京市貨運現(xiàn)狀,并調(diào)查國內(nèi)外典型城市貨運限行政策,指出當前北京市貨運交通管理措施存在的問題。 其次,明確道路貨運交通動態(tài)協(xié)調(diào)信息系統(tǒng)建設的意義,對系統(tǒng)進行了可行性分析及需求用例分析,給出了詳細的UML用例圖和事件流文檔,通過系統(tǒng)對象設計定義基本類與對象,并以貨車動態(tài)通行子系統(tǒng)中貨車通行動態(tài)配置功能為例,詳細描述其動態(tài)模型。 之后,研究系統(tǒng)決策過程中不同子系統(tǒng)所涉及的相關模型：交通運行情況監(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；貨車通行動態(tài)優(yōu)化子系統(tǒng)為了針對不同區(qū)域的交通情況進行不同的貨車通行管理,將人工免疫網(wǎng)絡算法應用在交通時段自動劃分模型上,并提出了基于仿真優(yōu)化算法的限行時段動態(tài)通行優(yōu)化模型,以實現(xiàn)貨運交通資源的動態(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)絡算法進行缺失數(shù)據(jù)的修復,通過實例驗證模型的有效性。 最后,根據(jù)系統(tǒng)分析與設計,基于jfreechart、matlab、數(shù)據(jù)庫等技術進行了通行證申請審批、限行時段動態(tài)通行優(yōu)化、交通流數(shù)據(jù)統(tǒng)計、異常數(shù)據(jù)管理等關鍵功能的實現(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.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U492.3;U495

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