Research on Expressway Toll Audit Technique Based on Data Mining

Zhong Jie Ye; Xiao Hang Zhang; Hong Ke Xu; Qi Wang

doi:10.4028/www.scientific.net/AMR.186.363

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 186Research on Expressway Toll Audit Technique Based...

Research on Expressway Toll Audit Technique Based on Data Mining

Abstract:

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.

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Periodical:

Advanced Materials Research (Volume 186)

Pages:

363-367

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.186.363

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Online since:

January 2011

Authors:

Zhong Jie Ye, Xiao Hang Zhang, Hong Ke Xu, Qi Wang

Keywords:

Data Mining (DM), Toll Audit, Weka

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References

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