| 基于交通出行行为的郑焦城际公交客流预测 |
| |
| 引用本文： | 丰晓艳,张亚伟.基于交通出行行为的郑焦城际公交客流预测[J].山东科学,2018,31(1):79. |
| |
| 作者姓名： | 丰晓艳 张亚伟 |
| |
| 作者单位： | 1. 北京交通大学交通运输学院，北京 100044； 2. 河南理工大学能源学院，河南 焦作 454003 |
| |
| 基金项目： | 教育部中央高校基本科研业务费（2016JBZ007） |
| |
| 摘 要： | 通过统计分析郑焦城际公交乘客的个人属性和出行信息，选择灰色模型对客流进行建模、预测和精度检验，得到模型的平均相对误差为3.98%，精度为96.02%，较好地满足了精度要求。该研究为郑焦城际公交的组织优化提供了理论依据和技术支持。
|
| 关 键 词： | 出行行为特征 客流预测 组织优化 灰色模型 |
| 收稿时间： | 2017-08-01 |
Passenger flow forecast of Zhengzhou-Jiaozuo intercity bus based on traffic travel behavior |
| |
| FENG Xiao-yan,ZHANG Ya-wei.Passenger flow forecast of Zhengzhou-Jiaozuo intercity bus based on traffic travel behavior[J].Shandong Science,2018,31(1):79. |
| |
| Authors: | FENG Xiao-yan ZHANG Ya-wei |
| |
| Institution: | 1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044，China;
2. School of Energy Resources, Henan Polytechnic University, Jiaozuo 454003，China |
| |
| 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. |
| |
| Keywords: | passenger flow forecast grey model travel behavior characteristics organization optimization |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《山东科学》浏览原始摘要信息 |
| 点击此处可从《山东科学》下载免费的PDF全文 |
