本文關(guān)鍵詞：多源異構(gòu)交通數(shù)據(jù)質(zhì)量控制關(guān)鍵技術(shù)研究　出處：《吉林大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 數(shù)據(jù)質(zhì)量 質(zhì)量控制 多源交互評價 多維度評價

【摘要】：感知數(shù)據(jù)、整合集成和分析預(yù)測是智能交通總體框架的重要結(jié)構(gòu)。對交通狀況及流量的感知采集是感知數(shù)據(jù)層主要工作，是智能交通整體框架的基石。隨著圖像處理、信息檢測技術(shù)不斷完善，對于交通狀態(tài)信息的采集就可以通過磁頻、波頻、視頻和安裝在車內(nèi)GPS等移動定位設(shè)備等技術(shù)采集，另外基于射頻技術(shù)和手機(jī)信令技術(shù)也起到一定補(bǔ)充作用。因而感知層積累的大量基礎(chǔ)和運(yùn)行數(shù)據(jù)，里面存在著缺失、錯誤等數(shù)據(jù)質(zhì)量問題，若直接使用未被評價過的數(shù)據(jù)推斷當(dāng)前交通流運(yùn)行狀態(tài)，必然會引起與實際交通狀態(tài)存在差距的誤判，可能導(dǎo)致路網(wǎng)更嚴(yán)重的擁堵后果。 針對以上現(xiàn)象，本文在分析當(dāng)前國內(nèi)外交通信息數(shù)據(jù)質(zhì)量有關(guān)研究和應(yīng)用技術(shù)的基礎(chǔ)上，結(jié)合數(shù)據(jù)質(zhì)量應(yīng)用的需求，首先從智能交通數(shù)據(jù)采集數(shù)據(jù)特征入手分析，構(gòu)建基于交通數(shù)據(jù)的質(zhì)量評價體系。然后在文中結(jié)合多源檢測器并行運(yùn)行的特點(diǎn)，論述了對交通數(shù)據(jù)質(zhì)量從多源交通數(shù)據(jù)準(zhǔn)確性、一致性、完整性和實時性逐項評價的方法，提出了交互分析多源信息來評價數(shù)據(jù)質(zhì)量的綜合方法，并給出清晰的評判流程。 在數(shù)據(jù)質(zhì)量的控制方面，總結(jié)現(xiàn)有的基于空間數(shù)據(jù)質(zhì)量控制、基于時間維的數(shù)據(jù)質(zhì)量控制技術(shù)，提出了基于時空相關(guān)的數(shù)據(jù)質(zhì)量控制方法，同時也對數(shù)據(jù)質(zhì)量的控制流程給出詳細(xì)的敘述。通過多檢測器來源對實際路段的相鄰時間、相鄰截面、相鄰車道采集交通數(shù)據(jù)，，按上述研究進(jìn)行了評價和控制方法的驗證，由實例分析結(jié)果可知，在本文構(gòu)建的多源異構(gòu)感知數(shù)據(jù)質(zhì)量評價集上基于質(zhì)量維度的多源交互評價方法和基于時空相關(guān)性的數(shù)據(jù)質(zhì)量控制方法為交通共用信息平臺中多源多維信息感知的實現(xiàn)提供了強(qiáng)有力的技術(shù)支撐。
[Abstract]:The perception of data integration and analysis and forecast is an important structure of the overall framework of intelligent transportation. The perception of acquisition of the traffic situation and traffic is the perception data layer mainly work is the cornerstone of the overall framework of intelligent transportation system. With the development of image processing, information detection technology continues to improve, for traffic information collection will be through the magnetic frequency, wave frequency in the car, video and installation of GPS mobile positioning technology in equipment acquisition, RF technology and mobile phone signaling technology also plays a complementary role. Based on a lot of basic operation data and thus the perception layer accumulation, there is a lack of quality problems, errors and other data, if direct use has not been evaluated data to infer the current the traffic flow operation state, will inevitably lead to misjudgment of the gap with the actual traffic status, may lead to more serious consequences. Road network congestion
In view of the above phenomenon, based on the analysis of the current traffic information data quality at home and abroad about the research and application of technology, combined with the data quality needs of the application, first from the analysis of the characteristics of intelligent traffic data acquisition data, constructing quality evaluation system based on traffic data. Then combined with multi detector parallel operation characteristics in this paper, paper the quality of traffic data from multi-source traffic data accuracy, consistency, integrity and real-time itemized evaluation, puts forward a comprehensive method of interactive analysis of multi-source information to evaluate the quality of the data, and given a clear evaluation process.
In the control of the quality of the data, summarize the spatial data quality control based on the existing technology, the quality control data based on the time dimension, and puts forward the method of quality control of spatio temporal correlation based on the data, but also gives the flow control of data quality in detail. Through the adjacent sections of the actual time of multi detector source adjacent section, adjacent lane traffic data collection, according to the above research was conducted to verify the evaluation and control methods, the analysis results from the example, in the perception of multi-source heterogeneous data quality evaluation based on multi set quality dimensions of the interaction based on evaluation method and Realization method of quality control of temporal correlation based on data for the multi-source multi dimension information perception in traffic information platform provides a strong technical support.

【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U495

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