摘要：随着科学的进步与社会经济的快速发展，城市人口和机动车也急速增加，随之产生的一系列的道路拥堵和交通安全等问题越来越严重。以智能交通系统为代表的交通信息化和智能化管理监控技术可以缓解道路拥堵和交通安全等问题，有效的提升交通运行的安全运营能力和综合服务水平。61927

城市交通数据是进行交通分析与管理的基础条件，但是由于检测设备通信、老化、故障等原因，造成数据失真，极大的影响力数据的价值。本研究基于车牌识别数据与车辆检测数据，通过模式识别、历史对比、相互校验等方法，对交通数据进行质量分析，及时发现数据质量的偏离，并分析原因，来保证智能交通系统的正常运行。

毕业论文 关键词： 智能交通系统（ITS），交通数据分析，交通数据对比

Quality of traffic data analysis software

Abstract: With the rapid development of science and social economy, urban population and motor vehicle grow fast, thus the problems such as a series of traffic congestion and safety becoming more and more serious. The informationization of transportation and intelligent management monitoring technology represented by intelligent transportation system can not only ease road congestion and traffic safety problems but also promote the safety operating ability and comprehensive service level in transportation operation.

Urban traffic data is the basic condition of traffic analysis and management. But due to the problems such as the aging and fault of detection equipments, thus causing the data distortion and affecting the value of data. Based on the data of vehicle license  plate recognition and vehicle detection, and the approaches such as mode recognition, historical comparison and mutual check, this research sets quality analysis on traffic data, timely finds the derivation of dataquality and analyzes the causes, so assuring the normal operation of intelligenttransportation system.

Keywords: Intelligent transportation system (ITS), Traffic data analysis, traffic data comparison

目录

摘要 i

Abstract i

目录.………..ii

1.绪论 1

1.1 研究背景及意义 1

1.2 研究目标与内容 2

1.3 国内外水平和研究现状 2

1.4 本课题的基本内容、重点、难点 4

1.4.1 课题的基本内容 4

1.4.2 课题的重点 5

1.4.3 课题的难点 6

2.开发技术介绍 7

2.1采取的技术介绍 7

2.1.1 C#技术 7

2.1.2 Xml技术 7

2.1.3 Oracle技术 7

2.2开发环境 7

2.2.1开发工具 7

2.2.2开发语言 7

2.2.3数据库 7

2.3运行环境 7

3.系统需求分析