本文關(guān)鍵詞： 車路協(xié)同系統(tǒng) 車車信息交互模式 合作機制 競爭機制 仿真驗證　出處：《北京交通大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：車路協(xié)同系統(tǒng)是基于信息處理技術(shù)、控制技術(shù)、導(dǎo)航定位技術(shù)、信息交互技術(shù)、感知技術(shù)等多種技術(shù)形成的高效和安全的交通系統(tǒng)。車路協(xié)同系統(tǒng)各項應(yīng)用的實現(xiàn)都基于車與車、車與周邊環(huán)境可靠的信息交互,系統(tǒng)中信息的傳輸直接影響到車輛路徑的規(guī)劃和行車安全。在分析和研究了車路協(xié)同技術(shù)以及車車信息交互相關(guān)研究的基礎(chǔ)上,提出了一些亟待解決的科學(xué)問題,研究了車路協(xié)同系統(tǒng)車車信息交互性能優(yōu)化方法的原理及在不同交通場景下的應(yīng)用。首先,通過分析3G、DSRC、WIFI三種信息交互模式的各種參數(shù)和協(xié)議,總結(jié)了三種信息交互模式在各種場景中不同的適用性,為車車信息交互仿真提供了條件。其次,論文完成了基于合作博弈論的車車多信息交互模式合作機制設(shè)計,涵蓋了 3G、DSRC及WIFI信息交互模式。分析了合作博弈論,建立了車車多信息交互模式合作機制的收益函數(shù)。利用合作博弈理論和收益函數(shù),建立了車車多信息交互模式合作機制。依據(jù)車車多信息交互模式合作機制中的發(fā)送端分包和接收車輛節(jié)點組包的需求,論文研究了分包和組包算法。再次,論文完成了基于貝葉斯決策理論的車車多信息交互模式競爭機制設(shè)計,根據(jù)不同場景的參數(shù),從三種信息交互模式中選擇最佳模式。通過分析貝葉斯決策理論和車路協(xié)同車車信息交互,研究了基于貝葉斯決策的多模式競爭參數(shù),針對這些參數(shù)建立了多模式競爭機制。最后,為了評估車車信息交互性能優(yōu)化方法,研究了適用于評價車車信息交互性能優(yōu)化方法五種指標(biāo)。論文利用OpNETModeler搭建了三種信息交互模型,同時利用三種信息交互模式的進程層,實現(xiàn)了多模式合作和競爭算法。為了驗證車車信息交互性能優(yōu)化方法,在OPNET中設(shè)計了基于不同車輛節(jié)點密度、車輛節(jié)點移動速度和傳輸數(shù)據(jù)量的多種場景。結(jié)果表明,車車信息交互性能優(yōu)化方法能夠提高信息交互的可靠性,合作機制能夠在數(shù)據(jù)量較大時,提高車車信息交互的可靠性,競爭機制能夠在數(shù)據(jù)量較小時,有明顯提高車車信息交互可靠性的效果�；趦煞N機制的特點,設(shè)計了基于傳輸數(shù)據(jù)量為選擇條件的車車信息交互性能優(yōu)化驗證的場景,場景包括車輛跟馳場景和交叉口避撞場景,通過多次重復(fù)實驗,驗證了車車信息交互性能優(yōu)化方法。
[Abstract]:Vehicle-road cooperative system is based on information processing technology, control technology, navigation and positioning technology, information interaction technology, The realization of each application of vehicle-road cooperation system is based on the reliable information exchange between vehicle and vehicle, vehicle and surrounding environment. The transmission of information in the system has a direct impact on the planning of the vehicle path and the safety of the vehicle. Based on the analysis and study of the vehicle-road coordination technology and the research on the interaction of vehicle-vehicle information, some scientific problems that need to be solved urgently are put forward. This paper studies the principle of vehicle and vehicle information interaction performance optimization method and its application in different traffic scenarios. Firstly, the parameters and protocols of three information interaction modes are analyzed. This paper summarizes the applicability of three kinds of information interaction modes in various scenarios, which provides the conditions for the vehicle and vehicle information interaction simulation. Secondly, the paper completes the design of the vehicle multi-information interaction mode cooperation mechanism based on the cooperative game theory. This paper analyzes the cooperative game theory, establishes the profit function of the cooperation mechanism of the vehicle-vehicle multi-information interaction mode, and makes use of the cooperative game theory and the revenue function. The cooperation mechanism of vehicle and vehicle multi-information interaction mode is established. According to the requirement of sending end subcontracting and receiving vehicle node group packet in the vehicle vehicle multi-information interaction mode cooperation mechanism, this paper studies subcontracting and packet formation algorithm. Based on Bayesian decision theory, the competition mechanism of vehicle and vehicle multi-information interaction mode is designed, which is based on the parameters of different scenarios. By analyzing Bayesian decision theory and vehicle-road collaborative information interaction, the paper studies the multi-mode competition parameters based on Bayesian decision. A multi-mode competition mechanism is established for these parameters. Finally, in order to evaluate the performance optimization of vehicle-vehicle information interaction, This paper studies five indexes suitable for evaluating the performance optimization of vehicle-vehicle information interaction. In this paper, three kinds of information interaction models are built by using OpNETModeler, and the process layer of three kinds of information interaction modes is used at the same time. In order to verify the performance optimization method of vehicle-vehicle information interaction, several scenarios based on different vehicle node density, vehicle node moving speed and transmission data are designed in OPNET. The results show that, The optimization method of vehicle and vehicle information interaction performance can improve the reliability of information interaction, the cooperative mechanism can improve the reliability of vehicle and vehicle information interaction when the amount of data is large, and the competition mechanism can improve the reliability of information interaction when the amount of data is small. Based on the characteristics of two mechanisms, a scene of optimizing and verifying the interactive performance of vehicle-vehicle information based on the transmission data is designed. The scene includes vehicle car-following scene and intersection collision avoidance scene. The optimization method of vehicle-vehicle information interaction performance is verified by repeated experiments.
【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】：2017
【分類號】：U495

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