基于移动通信仿真的城市主干路行程车速手机数据采样效果研究

发布时间：2019-01-29 03:24

【摘要】：在我国城市化和城镇化发展过程中,交通拥堵已经成为普遍现象,显著影响城市功能的正常发挥,通过建设智能交通体系挖掘现有交通基础设施的运营潜力已经成为缓解交通拥堵的重要手段；智能交通体系中,交通数据采集与提取是首要环节,是系统可靠性的重要保障。既有交通数据采集提取技术包括传统的环形线圈及新兴的GPS定位、视频识别、雷达探测等技术,但这些技术在不同程度上都存在一定的局限性。相比较而言,基于移动运营商的已有通信网络的手机定位技术可以弥补既有采集技术的局限性,具备投资成本较低、手机用户渗透率高、覆盖范围广等优势,已经成为当前智能交通领域的研究热点,近年来国内外许多研究机构和企业都积极开展相关理论研究与项目实践。但是,在实际中由于受到移动运营商的商业利益、网络安全及手机用户隐私等敏感问题的影响,难以从网络运营商方面获取大量真实的手机通信网络数据开展技术研究工作,对一些技术问题的剖析、认识还不够清晰,手机数据获取的困难成为制约该项技术研发和应用的主要障碍之一。因此,为了克服手机数据获取造成的障碍,近年来,学术研究领域开始转向以仿真为重要手段开展研究,运用仿真手段的优势,能够在控制某些重要系统参数的环境下分析其对技术造成的影响,有助于全面深入探索手机定位技术的应用效果。总体上来看,过去的手机定位仿真研究大都缺乏与移动通信特征因素相结合,采用的假设通常较大程度地偏离手机通信实际特征,这使得通过仿真获取的手机数据与真实情况存在较大差距,失真数据不能够切实揭示技术的真实应用效果。基于无线通信仿真的城市主干路行程车速采样效果研究主要是基于交通流仿真与手机无线通信仿真集成的思路,运用Vissim软件作为微观交通仿真实现工具,获取在不同交通状态下的车载手机移动位置轨迹,运用Matlab软件作为手机无线通信仿真实现工具,将车载手机移动位置轨迹作为集成衔接导入通信仿真模块,并按照真实的切换流程、通信协议和切换控制准则进行仿真建模,从而真实地仿真生成通信网络中记录的切换样本数据,并据此通过手机切换路网标定匹配算法获取道路行程采样车速。同时,本研究通过调整仿真参数,如通话时长、样本采样率、交通状态、信号延误等,重点研究了城市主干路上出行者不同的通话行为对手机切换速度计算、路段样本量提取以及路段行程车速发布准确率造成的影响。本研究能够为验证手机切换定位技术用于城市主要道路行程车速采集的可行性和应用效果提供重要支持。
[Abstract]:In the process of urbanization and urbanization in China, traffic congestion has become a common phenomenon, significantly affecting the normal play of urban functions. Mining the operational potential of existing traffic infrastructure through the construction of intelligent transportation system has become an important means to alleviate traffic congestion. In intelligent transportation system, traffic data acquisition and extraction is the most important link and the important guarantee of system reliability. The existing traffic data acquisition and extraction technologies include the traditional loop coil and the emerging GPS positioning, video recognition, radar detection and other technologies, but these technologies have some limitations in varying degrees. By comparison, the mobile phone positioning technology based on the existing communication network of mobile operators can make up for the limitations of the existing acquisition technology, with the advantages of low investment cost, high penetration of mobile phone users, wide coverage, and so on. In recent years, many domestic and foreign research institutions and enterprises have actively carried out related theoretical research and project practice. However, due to the influence of the commercial interests of mobile operators, network security and mobile phone user privacy and other sensitive issues, it is difficult to obtain a large number of real mobile phone communication network data from network operators to carry out technical research work. The analysis of some technical problems is not clear enough, and the difficulty of obtaining mobile phone data becomes one of the main obstacles to the development and application of this technology. Therefore, in order to overcome the obstacles caused by mobile phone data acquisition, in recent years, the academic research field began to take simulation as an important means to carry out research and use the advantage of simulation. It can be used to analyze the influence of some important system parameters on the technology, which is helpful to explore the application effect of mobile phone positioning technology. Generally speaking, most of the previous mobile phone positioning simulation studies lack of combination with mobile communication feature factors, and the assumptions usually deviate from the actual characteristics of mobile communication to a large extent. As a result, there is a big gap between the mobile phone data obtained by simulation and the real situation, and the distorted data can not reveal the true application effect of the technology. The research of speed sampling effect of urban trunk road based on wireless communication simulation is mainly based on the integration of traffic flow simulation and mobile phone wireless communication simulation. Vissim software is used as the micro traffic simulation tool. The mobile location locus of the mobile phone in different traffic conditions is obtained, and the mobile phone mobile location trajectory is integrated into the communication simulation module by using Matlab software as the mobile communication simulation tool. According to the real switching flow, communication protocol and switching control criterion, simulation modeling is carried out, so that the switching sample data recorded in the communication network can be generated by real simulation. On the basis of this, the road travel sampling speed is obtained by the calibration matching algorithm of mobile phone switching road network. At the same time, by adjusting the simulation parameters, such as call time, sample sampling rate, traffic status, signal delay and so on, this study focuses on the calculation of mobile phone switching speed by different call behavior of the traveler on the urban trunk road. The influence of sample size extraction and the accuracy rate of road travel speed release. This study can provide important support for verifying the feasibility and application effect of mobile phone switching and positioning technology used in the collection of travel speed on major urban roads.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495

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