An intelligent decision-making framework for asphalt pavement maintenance using the clustering-PageRank algorithm-Reference-Cited by-同舟云学术

An intelligent decision-making framework for asphalt pavement maintenance using the clustering-PageRank algorithm

Published:2019-11-05 Issue:11 Volume:52 Page:1829-1847
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Han Chengjia¹,Fang Mingjing²,Ma Tao¹,Cao Hongyou²,Peng Hao³

Affiliation:

1. School of Transportation, Southeast University, Nanjing, People’s Republic of China

2. School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, People’s Republic of China

3. CCCC Second Highway Consultants Co. Ltd, Wuhan, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2019.1677636

Reference40 articles.

1. Dynamic Pavement Delineation and Visualization Approach Using Data Mining

2. Development of maintenance decision model for flexible pavements

3. Integrating Risk Assessment into Pavement Management Systems

4. Using PAVER 6.5.7 and GIS program for pavement maintenance management for selected roads in Kerbala city

5. Fast approximated power iteration subspace tracking

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