车路协同系统车车信息交互性能优化方法

发布时间：2018-02-25 18:45

本文关键词： 车路协同系统车车信息交互模式合作机制竞争机制仿真验证　出处：《北京交通大学》2017年硕士论文　论文类型：学位论文

【摘要】：车路协同系统是基于信息处理技术、控制技术、导航定位技术、信息交互技术、感知技术等多种技术形成的高效和安全的交通系统。车路协同系统各项应用的实现都基于车与车、车与周边环境可靠的信息交互,系统中信息的传输直接影响到车辆路径的规划和行车安全。在分析和研究了车路协同技术以及车车信息交互相关研究的基础上,提出了一些亟待解决的科学问题,研究了车路协同系统车车信息交互性能优化方法的原理及在不同交通场景下的应用。首先,通过分析3G、DSRC、WIFI三种信息交互模式的各种参数和协议,总结了三种信息交互模式在各种场景中不同的适用性,为车车信息交互仿真提供了条件。其次,论文完成了基于合作博弈论的车车多信息交互模式合作机制设计,涵盖了 3G、DSRC及WIFI信息交互模式。分析了合作博弈论,建立了车车多信息交互模式合作机制的收益函数。利用合作博弈理论和收益函数,建立了车车多信息交互模式合作机制。依据车车多信息交互模式合作机制中的发送端分包和接收车辆节点组包的需求,论文研究了分包和组包算法。再次,论文完成了基于贝叶斯决策理论的车车多信息交互模式竞争机制设计,根据不同场景的参数,从三种信息交互模式中选择最佳模式。通过分析贝叶斯决策理论和车路协同车车信息交互,研究了基于贝叶斯决策的多模式竞争参数,针对这些参数建立了多模式竞争机制。最后,为了评估车车信息交互性能优化方法,研究了适用于评价车车信息交互性能优化方法五种指标。论文利用OpNETModeler搭建了三种信息交互模型,同时利用三种信息交互模式的进程层,实现了多模式合作和竞争算法。为了验证车车信息交互性能优化方法,在OPNET中设计了基于不同车辆节点密度、车辆节点移动速度和传输数据量的多种场景。结果表明,车车信息交互性能优化方法能够提高信息交互的可靠性,合作机制能够在数据量较大时,提高车车信息交互的可靠性,竞争机制能够在数据量较小时,有明显提高车车信息交互可靠性的效果。基于两种机制的特点,设计了基于传输数据量为选择条件的车车信息交互性能优化验证的场景,场景包括车辆跟驰场景和交叉口避撞场景,通过多次重复实验,验证了车车信息交互性能优化方法。
[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.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U495

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