CAJ | 학술논문

有效的交通需求预测是电梯交通模式识别的一个重要前提,而传统的交通需求预测建模往往依赖于交通需求的分布.本文定义了交通需求的显著性评价指标x_ (na)~ (ev)及-显著,并基于上述指标给出了关于交通需求分布显著水平的一种评价方式:在此基础上,研究了在不服从Poisson分布且交通需求显著时的一种交通需求预测方法.仿真实验表明了该方法的有效性.
유효적교통수구예측시전제교통모식식별적일개중요전제,이전통적교통수구예측건모왕왕의뢰우교통수구적분포.본문정의료교통수구적현저성평개지표x_ (na)~ (ev)급-현저,병기우상술지표급출료관우교통수구분포현저수평적일충평개방식:재차기출상,연구료재불복종Poisson분포차교통수구현저시적일충교통수구예측방법.방진실험표명료해방법적유효성.
The efficient forecasting of the elevator traffic demand is essential to the pattern recognition of the elevator traffic. The classical traffic demand forecasting generally depends on the specific traffic demand distribution. We define the significance-evaluation indices x_ (na)~ (ev) and present the distribution of the significance-evaluation mode of elevator traffic in terms of those evaluation indices. On that basis, an elevator traffic demand forecasting method under strong significance and non-Poisson distribution is developed. Simulation experiments show the validity of the proposed method.