Roads play a crucial role in societal infrastructure as a main artery for the economy and lives of people. However, numerous deformations are caused by an increasing number of overloaded vehicles. Accordingly, an efficient managing system for preventing overloaded vehicles could be organised by using the road as a scale by applying a genetic algorithm to analyse the load and drive information of vehicles. First, accurate analysis of loads by using the behaviour of the road itself is needed to solve illegal axle manipulation problems of overloaded vehicles and to install intelligent embedded load analysis systems. Accordingly, to use the road behaviour, the transformation in this way was measured by installing an underground box‐type indoor model, and an indoor experiment was conducted by using a genetic algorithm. After five driving sessions with each vehicle, 50 sets of dynamic responding data were attained. The recognition variables were calculated to be within the error range of 10%.


    Access

    Download


    Export, share and cite



    Title :

    Study of intelligent load analysis system using genetic algorithm


    Contributors:

    Published in:

    Publication date :

    2014-08-01


    Size :

    6 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Study of intelligent load analysis system using genetic algorithm

    Jo, Byung-Wan / Yoon, Kwang-Won / Lee, Yun-Sung et al. | IET | 2014

    Free access

    Intelligent bus scheduling system and method based on genetic algorithm

    LI JUN / XU SHANSHAN / JIANG JIAN et al. | European Patent Office | 2021

    Free access

    A Dual Fuzzy Neuro Controller Using Genetic Algorithm in Civil Aviation Intelligent Landing System

    Xu, Kai Jun ;Zhang, Guang Ming ;Xu, Yang | Trans Tech Publications | 2011