Publications

A combined work optimization technology under resource constraints with an application to road repair

Статья в журнале
Lempert A.A., Sidorov D.N., Zhukov A.V., Nguyen G.L.
Automation and Remote Control
2016
A combined work optimization technology under resource constraints with an application to road repair
We propose an approach for solving the task prioritization problem in road surface repair under bounded resources; the idea is to use a combination of defect recognition and classification methods based on statistical analysis and machine learning (random forests) with original methods for solving infinite-dimensional optimization problems (optical-geometric analogy). We show the results of a computational experiment that indicate high performance of the developed algorithms, and the resulting solutions were evaluated highly by experts in road facilities management. Our results may encourage more efficient use of resources to improve the quality of motorways.

Библиографическая ссылка

Lempert A.A., Sidorov D.N., Zhukov A.V., Nguyen G.L.  A combined work optimization technology under resource constraints with an application to road repair // Automation and Remote Control. Vol.77. No.11. 2016. P.1883-1893. DOI: 10.1134/S0005117916110011 http://rd.springer.com/article/10.1134/S0005117916110011
http://rd.springer.com/article/10.1134/S0005117916110011" class="btn js_copy margin-bottom">Скопировать
WOS
SCOPUS
∧
x
 
x