【摘要】：隨著我國高速公路的里程數(shù)不斷增加，路網(wǎng)規(guī)模不斷擴(kuò)大，車輛單次繳納通行費(fèi)金額增多，從而導(dǎo)致車主逃費(fèi)的現(xiàn)象也越來頻繁地出現(xiàn)。目前，高速公路收費(fèi)稽查人員還無法做到使用信息技術(shù)處理海量的收費(fèi)記錄數(shù)據(jù)。通過對偷逃通行費(fèi)行為以及稽查工作方式的研究可以補(bǔ)充高速公路稽查工作的不足。數(shù)據(jù)挖掘技術(shù)在這一過程中發(fā)揮著重要作用，它能夠?qū)⑿枰男畔拇罅康氖召M(fèi)數(shù)據(jù)中提取出來，并進(jìn)行歸類以及預(yù)測。將數(shù)據(jù)挖掘技術(shù)用于高速公路聯(lián)網(wǎng)收費(fèi)稽查工作，將會大大提高工作的效率和針對性。 本文以高速公路聯(lián)網(wǎng)收費(fèi)稽查的工作內(nèi)容作為切入點(diǎn)展開研究，對偷逃通行費(fèi)行為進(jìn)行了詳細(xì)的分析。本文將數(shù)據(jù)挖掘技術(shù)引入收費(fèi)稽查工作中，對關(guān)鍵技術(shù)進(jìn)行了研究。在上述研究基礎(chǔ)上，構(gòu)建了輔助收費(fèi)稽查工作的系統(tǒng)模型，并結(jié)合數(shù)據(jù)挖掘技術(shù)給出了模型應(yīng)用的實(shí)例。結(jié)果表明，本模型給出的預(yù)測具有較高的準(zhǔn)確率，特別是針對換卡、偷換車牌等逃費(fèi)行為較為敏感。本文對逃費(fèi)行為和稽查工作的系統(tǒng)分析，以及基于數(shù)據(jù)挖掘技術(shù)對收費(fèi)稽查工作進(jìn)行建模，對于稽查工作具有指導(dǎo)意義，能夠在實(shí)踐中促進(jìn)稽查工作效率的提高，，并提升高速公路運(yùn)營單位管理水平。
[Abstract]:With the increasing mileage of freeway in our country, the scale of road network is expanding, and the amount of toll paid by vehicle is increasing, which leads to the phenomenon that the owner evades the toll more and more frequently. At present, highway toll inspectors can not use information technology to process massive toll record data. Through the study of the behavior of evading tolls and the way of checking, the deficiency of highway inspection can be supplemented. Data mining technology plays an important role in this process, it can extract the information needed from a large number of fee data, classify and predict. The efficiency and pertinence of the work will be greatly improved when the data mining technology is used in the toll checking work of expressway network. In this paper, the contents of highway network toll audit are taken as the starting point to study the behavior of evading tolls, and the behavior of evading tolls is analyzed in detail. In this paper, the data mining technology is introduced into the charge audit, and the key technology is studied. On the basis of the above research, the system model of auxiliary charge audit is constructed, and an example of application of the model is given in combination with data mining technology. The results show that the prediction given by this model has a high accuracy, especially for card exchange, license plate evasion and other evasion behavior is more sensitive. In this paper, the systematic analysis of fee evasion behavior and audit work, as well as the modeling of fee audit based on data mining technology, is of guiding significance for audit work, and can promote the efficiency of audit work in practice. And improve the highway operation unit management level.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U495

【引證文獻(xiàn)】

中國期刊全文數(shù)據(jù)庫 前1條

1 趙彥;;ETC卡簽在線發(fā)行及審核方案探討[J];公路交通科技(應(yīng)用技術(shù)版);2015年09期

本文編號：2428728