Document Details

Document Type : Article In Conference 
Document Title :
A DECISION SUPPORT SYSTEM FOR PAVEMENT MAINTENANCE USING ARTIFICIAL NEURAL NETWORKS TECHNOLOGY
نظام قرارات مساندة لصيانة الرصف باستخدام تقنية الشبكة العصبية الاصطناعية
 
Subject : pavement 1 
Document Language : English 
Abstract : An important component of any Pavement Maintenance Decision Support System (PMDSS) is the condition survey and rating procedures. Data obtained from these procedures are the primary basis for determining Maintenance and Repair (M&R) actions. This paper investigates the feasibility of using Artificial Neural Network (ANN) to recommend appropriate M&R actions. In order for an ANN to diagnose an M&R action accurately, it must be trained with correct diagnosed M&R actions (training sets). Each training set consists of pavement condition and the corresponding recommended M&R action. In this study, pavement condition data used in the training sets were obtained from 8 comprehensive visual inspection data conducted on the Egyptian 'Road Network. The associated M&R actions were obtained based on consulting human expertise and M&R actions recommended by the PAVER. The results of this study reveal that ANN, trained using pavement conditions and M&R actions, has a strong potential for implementation in the PMDSS. 
Conference Name : FOURTH SAUDI ENGINEERING CONFERENCE 
Duration : From : 12جمادى الاخر AH - To : 15جمادى الاخر AH
From : 5 نوفمبر AD - To : 8 نوفمبر AD 
Publishing Year : 1416 AH
1995 AD 
Number Of Pages : 11 
Article Type : Article 
Added Date : Wednesday, February 25, 2009 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
عبد الله محمد الصقيرAbdullah M. AlsugairInvestigatorMaster 
عصام عبد العزيز شرفEssam A. ShararResearcherMaster 

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