DocumentCode :
1304454
Title :
Massively parallel computing techniques might improve highway maintenance
Author :
Huang, Yong Gen ; Tillotson, Howard ; Snaith, Martin
Author_Institution :
Birmingham Univ., UK
Volume :
6
Issue :
1
fYear :
1998
Firstpage :
58
Lastpage :
67
Abstract :
Road maintenance procedures that allocate resources according to the condition of particular highway sections are more cost effective than those involving fixed-interval, budget-controlled maintenance. This more effective needs led approach requires measuring the highway´s condition at regular, typically annual intervals. For this purpose, civil engineers build a highway management system into a database that records information about each section of roadway in the network under consideration. Traditional manual methods of measuring cracking in road pavements are slow and unreliable. In developing an automatic, repeatable and reproducible way of determining the extent of cracking, the authors have used a distributed array of processors to process digitized images at practical speeds
Keywords :
civil engineering computing; engineering information systems; image processing; maintenance engineering; parallel processing; budget-controlled maintenance; civil engineering; cost effective; database; distributed processor array; highway management system; image processing; massively parallel computing techniques; resource allocation; road maintenance; road pavement cracking; Cameras; Data engineering; Parallel processing; Pixel; Reproducibility of results; Resource management; Road transportation; Surface cracks; TV; Velocity measurement;
fLanguage :
English
Journal_Title :
Concurrency, IEEE
Publisher :
ieee
ISSN :
1092-3063
Type :
jour
DOI :
10.1109/4434.656780
Filename :
656780
Link To Document :
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