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Research on Expressway Toll Audit Technique Based on Data Mining

机译:基于数据挖掘的高速公路收费技术研究

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Toll evasion is a known challenging problem in expressway transportation. Existing solutions mainly rely on the audit by people on the spot. However, with the increase of expressway networks, this kind of methods become less practical and lead to low efficiency. Considering this deficiency, this paper presents a method based on data mining to automatically assist the toll audit. Our method not only takes use of the data recorded from the expressway toll system, but also brings convenience to the auditing process.
机译:在高速公路运输中,收费逃货是一个已知的具有挑战性问题。现有的解决方案主要依赖于人民的审计。然而,随着高速公路网络的增加,这种方法变得不太实用,导致效率低。考虑到这一缺陷,本文提出了一种基于数据挖掘的方法,以自动协助收费审计。我们的方法不仅要使用从高速公路收费系统记录的数据,而且为审计过程带来了方便。

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