Bibliographic Information
- Other Title
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- 工事実績情報を用いた道路供用の予測に関する研究
Description
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
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- Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics)
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Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics) 68 (2), I_150-I_161, 2012
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390282680333701504
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- NII Article ID
- 130004962221
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- ISSN
- 21856591
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed