基于联网收费数据的交通流特性分析及应用

发布时间：2018-03-17 12:54

本文选题：联网收费系统　切入点：数据仓库　出处：《华南理工大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着我国高速公路的快速发展，，联网收费系统逐渐成为了我国高速公路智能交通系统的最重要组成部分。该系统在运营过程中积累了海量的收费数据，如何对这些数据进行有效的分析和处理，深度挖掘交通主题知识，为高速公路运营管理提供辅助决策，已经成为一个十分关键的问题。本文基于联网收费数据，进行交通主题数据提取转化，进而为高速公路交通流特性分析和应用的研究提供支持。联网收费数据是公路收费系统在运行过程中的相关记录内容，本文在对高速公路交通运营体系、联网收费系统和原始收费流水数据结构调研分析的基础上，搭建了联网收费数据处理分析的基本框架，并对联网收费数据中交通主题数据的提取转换方法进行了研究。基于SQLServer为数据库管理平台，建立了交通主题计算模型，并将所有的交通主题数据存储到交通主题数据仓库中，以此作为高速公路交通流特性分析及应用研究的基础。基于交通流量主题数据，对高速公路交通流量进行周变特性分析、日变特性和时变特性分析，并建立高速公路交通流量周变模型。根据车辆行程速度主题数据库，对高速公路车辆行程时间进行分车型分布拟合，得出高速公路每种车型的车辆行程速度概率密度分布均服从正态分布。基于交通主题数据仓库收费站出入口交通流量，结合交通流量周变特性，建立收费站容量规划模型，进而建立容许不同排班情形的收费人员排班优化模型，并通过遗传规划给出模型算例的解。基于交通主题数据库的高速公路出入口交通流量值，结合交通流量日变特性，建立收费站通行卡需求量模型，进而建立通行卡区域调拨模型，并根据连通器原理的启发，设计了最优搜索方向的调用因子，给出了模型的解。
[Abstract]:With the rapid development of China's highway toll system, has gradually become the most important part of the intelligent traffic system in our country. The system has accumulated charge data in the process of operation, how to effectively analyze and process these data, the depth of mining transportation subject knowledge, to provide decision support for the operation and management of expressway that has become a very important problem. This paper based on the data of traffic network charges, subject data extraction transformation, so as to study the characteristics of expressway traffic flow analysis and application support.
Toll highway toll system is the data records in the operation process of the content, based on the highway traffic operation system, analyzing the network system and the original charge flow data structure research, set up basic frame of network toll data processing and analysis, and the extraction of traffic data network toll data conversion theme in method was studied. Based on the SQLServer as the database platform, a calculation model of traffic and the theme established, all traffic theme data stored in the data warehouse in traffic, as the basis for the analysis and application of the characteristics of highway traffic flow. The traffic flow data based on the analysis of the theme, the week variation on the highway traffic. The diurnal variation analysis and characteristics, and the establishment of the freeway traffic flow model. According to the theme of week data of vehicle travel speed The distribution of vehicle travel time is classified according to vehicle distribution, and the probability density distribution of each vehicle's speed and speed is normal.
The traffic data warehouse on the toll station entrance traffic flow based on traffic flow, combined with the characteristics of a week, the toll station capacity planning model, and then establish the charge staff scheduling optimization model allowed different scheduling situation, and through the genetic programming model gives examples solution. Based on the traffic database highway entrance traffic flow, combined with the traffic flow characteristics, establish toll gate card demand model, and then establish the regional allocation card model, and according to the inspiration of communicating principle, called factors to design optimal search direction, gives the solution of the model.

【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495;U491.112

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