Data mining applied for national road maintenance decision support system

Andri Irfan Rifai,Ronal Al Rasyid,Susanty Handayani,P Hajek,S Kristiawan,W.T Chan,R Sriravindrarajah,B.S Gan,A.L Han,B.A Hidayat,M.B Ismail

doi:10.1051/matecconf/201819504007

Abstract

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 userfriendly computer interface is developed so that PMS stakeholders can plan pavement maintenance simply and effectively.

Highlights

The pavement management system (PMS) is carried out continuously, starting from design, planning, development, operation, maintenance, to the control stages
PMS is influenced by the nature and character of the pavement structures that can be patterned with various data approaches and other historical records
The concept of decision support system (DSS) module development in this study aims to provide an overview of the implementation of integration between data mining (DM), optimization, and geographical information system (GIS)

Summary

Introduction

The pavement management system (PMS) is carried out continuously, starting from design, planning, development, operation, maintenance, to the control stages. All stages of the pavement management system cycle have an important role and have a significant influence in maintaining road performance if implemented sustainably [1]. Higher pavement maintenance standards are currently required, in line with increasing road length, increased traffic volume, and other traffic space requirements [2]. The primary data required in the pavement management system is road performance data. Underperformance of the road can be reduced in proportion to the increasing age of pavement and the traffic load [3]. Decreases in the overall road performance follow the function of volume increases and traffic load, changes in environmental conditions, and other conditions [4]

Objectives

Methods

Discussion

Conclusion