PREDICTION FOR LOCATIONS OF CHANGES IN ROADS FROM CONSTRUCTION-RECORDS

DOI

Bibliographic Information

Other Title
  • 工事実績情報を用いた道路供用の予測に関する研究

Abstract

 To keep road maps and map data in car navigation system current gives great benefits to citizens. However, a lot of time and effort is needed to gather information which follows roads change. To improve the situation, this paper presents construction-records which are collected to control the quality of public works all over Japan can predict for locations where roads change. First, construction-records within a certain period of time are grouped by location. Next, the construction method/ type information is converted into explanatory variables (independent variable). The variables aggregated by each location are calculated by a supervised machine learning. An experimental evaluation showed that the method outputted decision tree models which reflected process of road construction, and the average recall ratio was approximately 95%.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390282680333701504
  • NII Article ID
    130004962221
  • DOI
    10.2208/jscejcei.68.i_150
  • ISSN
    21856591
  • Text Lang
    ja
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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