节点文献
基于移动最小二乘法的电梯客流分析
Analysis of elevator traffic based on moving least-squares
【摘要】 为了解决传统算法电梯停站数不准确的缺点,本文建立了一种基于移动最小二乘法(Mov-ing Least-Squares,MLS)的曲面拟合方法来建立大楼一天中最大5 min客流量模型.这种方法对传统的客流量算法及停站数算法作了比较大的改进,并用验证了这种方法的可行性,与传统算法比较具有精度高的优点.
【Abstract】 In order to solve the inaccurate shortcomings of traditional algorithms in the number of elevator stops,the largest 5min traffic model in a building has been presented with the Moving Least-Squares(MLS) surface fitting method in this paper.Compared with those algorithms of traditional elevator traffic approach and the number of stops,the new algorithm made quite big improvement,and it has higher precision.
【基金】 国家自然科学基金资助项目(61174098)
- 【文献出处】 北京交通大学学报 ,Journal of Beijing Jiaotong University , 编辑部邮箱 ,2012年05期
- 【分类号】TU857
- 【被引频次】5
- 【下载频次】135