【摘要】：交通的發(fā)展是衡量社會經(jīng)濟發(fā)展程度的一個重要的指標(biāo),隨著我國經(jīng)濟的大發(fā)展,人們出行水平的提高,出行更多地依賴交通工具,城市交通問題更加凸顯。但是由于城市條件的限制,道路的建設(shè)速度遠(yuǎn)遠(yuǎn)趕不上車輛的增加速度,所以如何合理的利用城市道路的現(xiàn)有資源,使社會效益的目標(biāo)函數(shù)最大化,就要有一套更加全面、合理的評價體系進行分析研究,給公眾提供更加直接且容易理解并被應(yīng)用的道路信息,給交通管理者提供科學(xué)、合理的決策科學(xué)依據(jù)。本文著力研究了基于多源數(shù)據(jù)融合的道路交通狀體評估方法,并研發(fā)了一套針對北京市城市交通管理的道路交通狀態(tài)評價與信息發(fā)布系統(tǒng)。論文主要完成了以下工作： (1)系統(tǒng)地總結(jié)和分析了目前國內(nèi)外常用的交通狀態(tài)信息獲取技術(shù),闡述了各類常用傳感器的工作原理,通過對比分析各項技術(shù)的利弊,闡明交通狀態(tài)獲取技術(shù)的發(fā)展趨勢。 (2)針對微波數(shù)據(jù)、浮動車數(shù)據(jù)和牌照識別檢測數(shù)據(jù)三類數(shù)據(jù)的特征,提出了基于BP神經(jīng)網(wǎng)絡(luò)的交通流數(shù)據(jù)融合算法。以北京市快速路和主干路為例,對平峰、早晚高峰三類傳感器檢測到的交通速度進行了融合,通過實際數(shù)據(jù)對比,驗證了算法的有效性。 (3)針對不同層級交通管理的需求,構(gòu)建了路段和路網(wǎng)兩個不同層級的交通運行評價指標(biāo)體系,分別提出了兩個不同層級上的交通運行狀態(tài)評價方法。 (4)以北京市為例,研發(fā)了一套城市道路交通狀態(tài)與信息發(fā)布系統(tǒng),實現(xiàn)了交通狀態(tài)信息的實時發(fā)布、自動生成數(shù)據(jù)統(tǒng)計報表、突發(fā)事件或交通管理措施條件下的交通運行狀態(tài)分析報告等功能。
[Abstract]:The development of transportation is an important indicator to measure the degree of social and economic development. With the development of our economy, people's travel level is improved, travel more rely on means of transportation, urban traffic problems become more prominent. However, due to the restriction of urban conditions, the speed of road construction is far from the increasing speed of vehicles, so how to make rational use of the existing resources of urban roads and maximize the objective function of social benefits, we must have a more comprehensive set. A reasonable evaluation system can provide the public with more direct, easy to understand and applied road information, and provide scientific and reasonable scientific basis for traffic managers to make decisions. In this paper, the evaluation method of road traffic body based on multi-source data fusion is studied, and a set of evaluation and information publishing system of road traffic state is developed for Beijing city traffic management. The main work of this paper is as follows: (1) the paper systematically summarizes and analyzes the commonly used technology of obtaining traffic state information at home and abroad, expounds the working principle of various kinds of commonly used sensors, and analyzes the advantages and disadvantages of each technology by comparing and analyzing the advantages and disadvantages of each technology. The development trend of traffic state acquisition technology is expounded. (2) aiming at the characteristics of microwave data, floating vehicle data and license plate recognition detection data, a traffic flow data fusion algorithm based on BP neural network is proposed. Taking Beijing Expressway and main Road as an example, the traffic speed detected by three kinds of sensors, Pingfeng, morning and evening peak, has been fused, and the actual data have been compared. The effectiveness of the algorithm is verified. (3) according to the needs of traffic management at different levels, the evaluation index system of traffic operation at two different levels of road section and road network is constructed. In this paper, two evaluation methods of traffic state on different levels are put forward. (4) taking Beijing as an example, a set of urban road traffic state and information publishing system is developed, which realizes the real-time release of traffic state information. Automatic generation of statistical data reports, unexpected events or traffic management measures under the conditions of traffic state analysis and other functions.
【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】：2015
【分類號】：U495

【參考文獻】

相關(guān)期刊論文 前10條

1 于春全;郭敏;梁玉慶;;關(guān)于建立城市道路交通運行狀況宏觀評價系統(tǒng)的研究[J];道路交通與安全;2007年01期

2 劉智勇,李水友;基于信息融合技術(shù)的交通量檢測方法[J];公路交通科技;2003年02期

3 郭偉,姚丹亞,付毅,胡堅明,劉寧;區(qū)域交通流特征提取與交通狀態(tài)評估方法研究[J];公路交通科技;2005年07期

4 皮曉亮;王正;韓皓;孫亞;;基于環(huán)形線圈檢測器采集信息的交通狀態(tài)分類方法應(yīng)用研究[J];公路交通科技;2006年04期

5 王力;范耀祖;張海;;基于探測車技術(shù)和多級模糊模式識別的道路交通狀態(tài)評價方法[J];公路交通科技;2007年09期

6 李莉;;基于手機采集與車載GPS采集方式的交通狀態(tài)信息融合技術(shù)[J];黑龍江科技信息;2011年09期

7 胡郁蔥,徐建閩,吳一民,鐘慧玲;基于BP神經(jīng)網(wǎng)絡(luò)的車輛定位融合模型[J];華南理工大學(xué)學(xué)報(自然科學(xué)版);2004年02期

8 ;Urban expressway traffic state forecasting based on multimode maximum entropy model[J];Science China(Technological Sciences);2010年10期

9 董宏輝;孫曉亮;賈利民;秦勇;;多模態(tài)的交通流量預(yù)測模型[J];吉林大學(xué)學(xué)報(工學(xué)版);2011年03期

10 徐濤;楊曉光;徐愛功;張明月;;面向城市道路交通狀態(tài)估計的數(shù)據(jù)融合研究[J];計算機工程與應(yīng)用;2011年07期

相關(guān)博士學(xué)位論文 前1條

1 孫曉亮;城市道路交通狀態(tài)評價和預(yù)測方法及應(yīng)用研究[D];北京交通大學(xué);2013年

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