A new method of real-time dynamic forecast of truck link travel time in open mines

作者：Xue Xue; Sun Wei; Liang Rui^*

来源：Journal of China Coal Society, 2012, 37(8): 1418-1422.

• Ensemble learning
• Ensemble learning algorithm
• Ensemble selection learning
• Influencing factor
• Least squares support vector regression
• Link travel time
• Open mine
• Optimal dispatching
• Prediction accuracy
• Real-time dynamics
• Time dynamic
• Travel time prediction

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 support vector regression(LS-SVR) algorithm and selectivity ensemble learning concept, this paper proposed a truck travel 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 accuracy was obtained, and the effectiveness of the proposed algorithm was proved.

• 出版日期2012
• 单位中国矿业大学（北京）