本文選題：聯(lián)網(wǎng)收費(fèi)系統(tǒng)　切入點(diǎn)：數(shù)據(jù)倉庫　出處：《華南理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著我國高速公路的快速發(fā)展，，聯(lián)網(wǎng)收費(fèi)系統(tǒng)逐漸成為了我國高速公路智能交通系統(tǒng)的最重要組成部分。該系統(tǒng)在運(yùn)營過程中積累了海量的收費(fèi)數(shù)據(jù)，如何對這些數(shù)據(jù)進(jìn)行有效的分析和處理，深度挖掘交通主題知識(shí)，為高速公路運(yùn)營管理提供輔助決策，已經(jīng)成為一個(gè)十分關(guān)鍵的問題。本文基于聯(lián)網(wǎng)收費(fèi)數(shù)據(jù)，進(jìn)行交通主題數(shù)據(jù)提取轉(zhuǎn)化，進(jìn)而為高速公路交通流特性分析和應(yīng)用的研究提供支持。 聯(lián)網(wǎng)收費(fèi)數(shù)據(jù)是公路收費(fèi)系統(tǒng)在運(yùn)行過程中的相關(guān)記錄內(nèi)容，本文在對高速公路交通運(yùn)營體系、聯(lián)網(wǎng)收費(fèi)系統(tǒng)和原始收費(fèi)流水?dāng)?shù)據(jù)結(jié)構(gòu)調(diào)研分析的基礎(chǔ)上，搭建了聯(lián)網(wǎng)收費(fèi)數(shù)據(jù)處理分析的基本框架，并對聯(lián)網(wǎng)收費(fèi)數(shù)據(jù)中交通主題數(shù)據(jù)的提取轉(zhuǎn)換方法進(jìn)行了研究�；赟QLServer為數(shù)據(jù)庫管理平臺(tái)，建立了交通主題計(jì)算模型，并將所有的交通主題數(shù)據(jù)存儲(chǔ)到交通主題數(shù)據(jù)倉庫中，以此作為高速公路交通流特性分析及應(yīng)用研究的基礎(chǔ)�；诮煌髁恐黝}數(shù)據(jù)，對高速公路交通流量進(jìn)行周變特性分析、日變特性和時(shí)變特性分析，并建立高速公路交通流量周變模型。根據(jù)車輛行程速度主題數(shù)據(jù)庫，對高速公路車輛行程時(shí)間進(jìn)行分車型分布擬合，得出高速公路每種車型的車輛行程速度概率密度分布均服從正態(tài)分布。 基于交通主題數(shù)據(jù)倉庫收費(fèi)站出入口交通流量，結(jié)合交通流量周變特性，建立收費(fèi)站容量規(guī)劃模型，進(jìn)而建立容許不同排班情形的收費(fèi)人員排班優(yōu)化模型，并通過遺傳規(guī)劃給出模型算例的解�；诮煌ㄖ黝}數(shù)據(jù)庫的高速公路出入口交通流量值，結(jié)合交通流量日變特性，建立收費(fèi)站通行卡需求量模型，進(jìn)而建立通行卡區(qū)域調(diào)撥模型，并根據(jù)連通器原理的啟發(fā)，設(shè)計(jì)了最優(yōu)搜索方向的調(diào)用因子，給出了模型的解。
[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.

【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U495;U491.112

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