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根据实测数据,分析列车进站时同步到达和列车停站期间到达的乘客选择特性。发现乘客选择侯乘位置受侯乘位置与入口的距离、侯乘位置与乘客在进站阶梯上的视野度等主要因素的影响。运用数据挖掘技术得到乘客总人数与各站台侯乘人数之间的关系,并验证了关系的显著性,得出乘客侯乘位置选择模型。实例表明,实测值的平均值与计算值的平均值均差不大于3人。分析所有实测的乘客分布数据,该模型计算的结果与实际观测结果的差值小于3人的达78.85%,小于5人的高达92.31%,从而验证了模型的可行性。
According to the measured data, the characteristics of passengers’ selection arriving during train arrival and train stop are analyzed. It is found that the main factors that affect the passenger’s choice of seating location are the distance between the seating location and the entrance, the riding position and the degree of visibility of passengers on the landing ladder. By using data mining technology, the relationship between the total number of passengers and the number of passengers stationed at each station is obtained. The significance of the relationship is verified, and the location selection model of passenger seating is obtained. The example shows that the difference between the average value of the measured value and the calculated value is not more than 3 people. All the measured passenger distribution data were analyzed. The difference between the calculated results and the actual observations was 78.85% less than 3 and 92.31% less than 5, which verified the feasibility of the model.