目录
摘 要 .................................................................................. I
ABSTRACT ........................................................................................ II
1 绪 论 ............................................................................ 1
1.1 本课题研究背景 .......................................................................... 1 1.2 本课题研究意义 .......................................................................... 2 1.3 国内外研究现状 ......................................................................... 3 1.4 本课题研究内容 ......................................................................... 4
2 交通流特性的相关研究 ...................................................... 6
2.1交通流的概念 .............................................................................. 6 2.2交通流的基本参数 ........................................................................ 6 2.2.1 交通流量 .............................................................................. 6 2.2.2 平均速度 .............................................................................. 7 2.2.3 密集度 ................................................................................. 8 2.3 交通流特性 ................................................................................. 8 2.3.1 速度－密度（u-k）模型 ....................................................... 9 2.3.2 速度－流量（u-q）模型 ..................................................... 10 2.3.3 流量－密度 (q-k) 模型 ....................................................... 11 2.4数据模型概述 ............................................................................ 13 2.4.1数据流研究背景 ................................................................... 13
2.4.2不确定数据研究背景 ............................................................. 15
3 交通流数据质量检测算法研究 .......................................... 17
3.1 交通流数据质量检测理论 ............................................................ 17 3.1.1 交通流数据常见问题 ............................................................ 17 3.1.2 交通数据故障识别方法 ......................................................... 18 3.1.3数据问题的处理方法 ............................................................. 20 3.2 故障数据检测算法 ..................................................................... 25 3.2.1 故障数据检测步骤 ............................................................... 27 3.2.2 故障数据检测 .................................................................... 29 3.3 特长高速公路隧道交通流故障数据检测 ........................................ 30 3.4 本章小结 .................................................................................. 30
4 全文总结与展望 ............................................................. 31 致 谢 ............................................................................... 32 参考文献 ............................................................................ 33
摘 要
随着特长高速公路隧道交通安全研究的深入，特长高速公路隧道实时交通流数据质量逐渐受到重视和关注，对特长高速公路隧道交通流数据进行故障数据检测是提高数据质量的关键。在智能交通系统（ITS, intelligent transportation system）的大背景下，如何利用丰富的交通检测数据，对现在的交通流状态，特别是在城市中处于重要地位的快速路的交通状态进行检测，对于提高交通运输效率，特别是物流企业的效率具有重要的理论意义和实用价值。
智能交通系统（ITS, intelligent transportation system）运行的基础是ITS数据。当路上采集到的ITS数据源源不断地传输到交通指挥中心后，中心会对数据进行相应的处理和应用，如集成、抽样、压缩、存储、发布等。由于传输设备故障、路面交通状况和环境因素的异常以及ITS设备的连续性工作特点所引发的间歇性工作故障，都会使所采集的数据出现错误、丢失及不精确的情况，若直接采用包含有质量问题的数据提供给道路交通应用，必将给应用带来不稳定和不安全隐患的后果。因此，有必要对ITS数据进行质量检测，降低问题数据对整体数据精确度的影响，保证对ITS数据的成功处理和安全应用。就ITS数据而言，质量检测意味着用一定的方法产生高质量的数据信息来满足数据用户的需求，ITS数据质量检测技术旨在对错误、丢失和不精确等问题数据进行判别并且给予修正，最终得到更为准确的数据。
本文在综合学习相关学者关于交通流故障数据研究成果基础上，针对特长高速公路隧道交通特点，综合考虑特长高速公路隧道交通流特性，对特长高速公路隧道历史交通流数据质量进行检测。
关键字：智能交通系统、数据错误、交通流数据质量、故障数据检测
Abstract
With the deepening of specialty highway tunnel traffic safety research, real-time traffic flow data quality expertise highway tunnel gradually more attention and concern, the specialty highway tunnel traffic flow data for fault data detection is the key to improving data quality. Context of intelligent transportation system (the ITS, intelligent transportation system), how to use the wealth of data on traffic detection, traffic flow state, especially in an important position in the highway traffic in the city state for testing, for improving the transportation efficiency, especially the efficiency of logistics
enterprises has important theoretical significance and practical value.
Intelligent transportation system (the ITS, intelligent transportation system) running on the basis of ITS data. Way acquisition to the ITS data are continuously transmitted to the traffic control center, the center will data processing and applications such as integrated sampling, compression, storage, release. Intermittent failures caused due to the continuity of the work characteristics of the transmission equipment failure, road traffic conditions and environmental factors, abnormal and ITS equipment will make the data collected by an error, missing and inaccurate, if used directly contains the quality of the data available to road traffic applications, bound to the application of the consequences of the hidden dangers of instability and insecurity. Therefore, it is necessary for the ITS data quality testing to reduce the impact of the problem data on the overall data accuracy, and to ensure the success of the ITS data processing and security applications. ITS data quality testing means that a certain way to produce high-quality data to meet the needs of data users, the ITS data quality detection
technology is designed to distinguish and give the correct error, missing and inaccurate data, and ultimately get more accurate data.
Integrated learning and scholars on the basis of the results of the fault data traffic flow on specialty highway tunnel traffic characteristics, considering the expertise highway tunnel traffic flow characteristics, the historical traffic flow data quality expertise highway tunnel detection.
Keywords:
Intelligent transportation systems, data errors, the quality
of traffic flow data, fault data detection
智能交通系统交通流数据质量检测
