关键词: 出行行为特征, 客流预测, 组织优化, 灰色模型

Abstract:

In this paper, through statistical analysis of the personal attributes and travel information of ZhengzhouJiaozuo intercity bus passengers, the grey model was chosen for modeling, predicting, and precision detecting of the passenger flow. The average relative error of the model was 3.98% and the precision was 96.02%, which met the accuracy requirement well. The research offers a theoretical basis and technical support for optimizing the organization of ZhengzhouJiaozuo intercity bus.

Key words: passenger flow forecast, grey model, travel behavior characteristics, organization optimization