Research on expressway toll audit technique based on data mining

Zhongjie Ye, Xiaohang Zhang, Hongke Xu, Qi Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationNew Trends and Applications of Computer-Aided Material and Engineering
Pages363-367
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 International Conference on Computer-Aided Material and Engineering, ICCME 2011 - Hangzhou, China
Duration: 9 Mar 201111 Mar 2011

Publication series

NameAdvanced Materials Research
Volume186
ISSN (Print)1022-6680

Conference

Conference2011 International Conference on Computer-Aided Material and Engineering, ICCME 2011
Country/TerritoryChina
CityHangzhou
Period9/03/1111/03/11

Keywords

  • Data mining
  • Toll audit
  • Weka

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