Developing a road performance index using a Bayesian belief network model

被引：27

作者：

Ismail, Mohamed A. ^{[1
]}

Sadiq, Rehan ^{[1
]}

Soleymani, Hamid R. ^{[2
]}

Tesfamariam, Solomon ^{[1
]}

机构：

[1] Univ British Columbia, Okanagan Sch Engn, Kelowna, BC V1V 1V7, Canada

[2] Univ Alberta, Dept Civil & Environm Engn, Markin CNRL Nat Resources Engn Facil, Edmonton, AB T6G 2W2, Canada

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2011年 / 348卷 / 09期

基金：

加拿大自然科学与工程研究理事会;

关键词：

PAVEMENT; MAINTENANCE; SYSTEM;

D O I：

10.1016/j.jfranklin.2011.07.015

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

There is a high demand to develop and incorporate decision support tools, by the transportation sectors and other concerned agencies, to improve their infrastructure assets management under shrinking budgets and increasing demands. This paper develops a proof-of-concept Bayesian belief network (BBN) model to rank roads in a network system based on several key performance indicators (KPI) using a probabilistic framework. For a given road network, the proposed tool is capable of ranking or prioritizing the segment of roads for high level management objectives. To demonstrate the application of the proposed model, various scenarios are elaborated and discussed in detail. Finally, the sensitivity analysis is carried out to evaluate the effects of different KPIs. (C) 2011 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：2539 / 2555

页数：17

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