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http://dx.doi.org/10.12652/Ksce.2011.31.1D.127

A Basic Study on Vehicle Load Analyzing System for Embedded Road  

Jo, Byung-Wan (한양대학교 토목공학과)
Yoon, Kwang-Won (한양대학교 토목공학과)
Park, Jung-Hoon (한양대학교 토목공학과)
Kim, Heoun (한양대학교 토목공학과)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.31, no.1D, 2011 , pp. 127-132 More about this Journal
Abstract
Load managing method on road became necessary since overloaded vehicles occur damage on road facilities and existing systems for preventing this damage still show many problems. Accordingly, efficient managing system for preventing overloaded vehicles could be organized by using the road itself as a scale by applying genetic algorithm to analyze the load and the drive information of vehicles. First of all, accurate analysis of load using the behavior of road itself is needed for solving illegal axle manipulation problems of overloaded vehicles and for installing intelligent embedded load analyzing system. Accordingly in this study, to use the behavior of road, the transformation was measured by installing underground box type indoor model and indoor experiment was held using genetic algorithm and 10% error were checked.
Keywords
overload vehicle. genetic algorithm; embedded system; wim sensor; overload vehicle regulation;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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