Data mining applied for national road maintenance decision support system

被引：1

作者：

Rifai, Andri Irfan ^{[1
]}

Handayani, Susanty ^{[2
]}

Al Rasyid, Ronal ^{[3
]}

机构：

[1] Minist Publ Works & Housing, Directorate Gen Highway, South Jakarta, Indonesia

[2] Minist Transportat, Greater Jakarta Transportat Author, Jakarta, Indonesia

[3] Jasa Marga Jalanlayang Cikampek Toll Rd Co, Jawa Barat, Indonesia

来源：

4TH INTERNATIONAL CONFERENCE ON REHABILITATION AND MAINTENANCE IN CIVIL ENGINEERING (ICRMCE 2018) | 2018年 / 195卷

关键词：

PAVEMENT MAINTENANCE;

D O I：

10.1051/matecconf/201819504007

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

National roads are one of the main networks of a country's transportation system. To maintain the performance level of national roads requires a well-structured pavement management system (PMS). The decision support system (DSS) is inseparable in the modern PMS, which required the development of a new approach for the DSS in support of national road network maintenance. The proposed model integrates data mining (DM) and geographical information system (GIS) to construct a simple DSS. DM is used to developed road maintenance optimization models, and then integrated with DSS with the help of GIS as an interface application. Historical data on the national road network in West Java, Indonesia is used as a case study. Examples show that the proposed model can determine a decision support solution efficiently. In addition, a user-friendly computer interface is developed so that PMS stakeholders can plan pavement maintenance simply and effectively.

引用

页数：9

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