A new method of real-time dynamic forecast of truck link travel time in open mines
Abstract：Aiming at travel time prediction problem in optimal dispatching of truck in open coal mines, a truck travel time prediction model which considered various truck travel time influencing factors was built. Using least squares sup- port vector regression（LS-SVR） algorithm and selectivity ensemble learning concept, this paper proposed a truck trav- el time dynamic prediction method realized by selectivity ensemble learning algorithm based on least squares support vector regression. Experiments were done using the practical data acquired from open coal mines. Higher prediction ac- curacy was obtained, and the effectiveness of the proposed algorithm was proved.
Keywords：open minetrucktravel timereal-time dynamic forecastleast squares support vector regressionensemble selection learning
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1418-1422 )