The statistical factors affecting the freezing of the road pavement

Autor: Gyu-Tae Cho, Jea-Young Lee, Hyun-Ji Kim, Byung-Doo Kim
Rok vydání: 2016
Předmět:
Zdroj: Journal of the Korean Data and Information Science Society. 27:67-74
ISSN: 1598-9402
DOI: 10.7465/jkdi.2016.27.1.67
Popis: Due to the character of the climate of Korea, the pavement of a road is Influenced by freezing in winter season and thawing in thawing season. In the last few years, several articles have been devoted to the study to minimize the damage of freezing and thawing action. The purpose of this paper is to identify appropriacy of factors that influence road pavement thickness. We conduct the decision tree analysis on the field data of road pavement. The target variable is `Frost penetration`. This value was calculated from the temperature data. The input variables are `Region`, `Type of road pavement`, `Anti-frost layer`, `Month` and `Air temperature`. The region was divided into 9 regions by freezing index , , . The type of road pavement has three-section such as area of cutting, boundary area of cutting and bankin, lower area of banking. As the result, the variables that influence `Frost penetration` are Month, followed by anti-frost layer, air temperature and region.
Databáze: OpenAIRE