Analysis on work zone characteristics in south korean expressways using text mining technique

Oh Hoon Kwon, Je Jin Park, Shin Hyoung Park

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

Abstract

The study proposes the association between work zone types and work zone lane closure types used in the construction of South Korean expressways through the use of the text mining and association analysis techniques. Of the factors that greatly affect the capacity of work zones, work zone lane closure types and night work were analyzed. Words were extracted from the narrated work types using the text mining technique, and the associations among the words, lane closure types, and night work variables were identified. The analysis revealed a significant difference between the work types associated with main lane closure and shoulder lane closure. It is expected that this study can be effectively applied to establishing transportation management plans (TMPs) for work zones.

Original languageEnglish
Title of host publicationAdvanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2017
EditorsJames J. Park, Shu-Ching Chen, Kim-Kwang Raymond Choo
PublisherSpringer Verlag
Pages134-139
Number of pages6
ISBN (Print)9789811050404
DOIs
StatePublished - 2017
Event12th International Conference on Future Information Technology, FutureTech 2017 - Seoul, Korea, Republic of
Duration: 22 May 201724 May 2017

Publication series

NameLecture Notes in Electrical Engineering
Volume448
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference12th International Conference on Future Information Technology, FutureTech 2017
Country/TerritoryKorea, Republic of
CitySeoul
Period22/05/1724/05/17

Keywords

  • Association analysis
  • Text mining
  • Work zone lane closure
  • Work zone type

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