中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Passenger flow forecast for customized bus based on time series fuzzy clustering algorithm

文献类型:期刊论文

作者Li, Ming7; Wang, Linlin1; Yang JF(杨敬锋)6,8; Zhang, Zhenkun2; Zhang, Nanfeng2; Xiang, Yifei5; Zhou, Handong3,4
刊名INTERACTION STUDIES
出版日期2019
卷号20期号:1页码:42-60
关键词customized bus fuzzy clustering time series passenger flow forecast travel heat map
产权排序3
英文摘要

Customized bus services are conducive to improving urban traffic and environment, and have attracted widespread attention. However, the problems encountered in the new customized bus mode include the large difference between the basis of customized bus passenger flow data analysis and the basis of the traditional bus passenger flow data analysis, and the difficulty in different vehicle scheduling caused by the combination of traditional and customized bus modes. We propose a customized bus passenger flow analysis algorithm and multi-destination customized bus line capacity scheduling algorithm, and display them in an intuitive way. The experimental results show that the algorithm model established in this paper can basically meet the data requirements of operation and management, and can provide decision support for customized bus line planning.

语种英语
WOS记录号WOS:000478970200004
资助机构Special Fund of Frontier and Key Technology Innovation of Guangdong Province (provincial major science and technology project) (2015B010106001, 2015B010129003, 2016B010109007) ; Pearl River S&T Nova Program of Guangzhou (201610010034)
源URL[http://ir.sia.cn/handle/173321/26436]  
专题沈阳自动化研究所_广州中国科学院沈阳自动化研究所分所
通讯作者Yang JF(杨敬锋)
作者单位1.Guangdong Lingnan Vocational and Technical College
2.Guangzhou Customs District P.R. China
3.Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geograph
4.Guangzhou Yuntu Information Technology Co, Ltd.
5.North China Electric Power University
6.Shenyang Institute of Automation Chinese Academy of Science
7.South China Agricultural University
8.Shenyang Institute of Automation Guangzhou Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Li, Ming,Wang, Linlin,Yang JF,et al. Passenger flow forecast for customized bus based on time series fuzzy clustering algorithm[J]. INTERACTION STUDIES,2019,20(1):42-60.
APA Li, Ming.,Wang, Linlin.,Yang JF.,Zhang, Zhenkun.,Zhang, Nanfeng.,...&Zhou, Handong.(2019).Passenger flow forecast for customized bus based on time series fuzzy clustering algorithm.INTERACTION STUDIES,20(1),42-60.
MLA Li, Ming,et al."Passenger flow forecast for customized bus based on time series fuzzy clustering algorithm".INTERACTION STUDIES 20.1(2019):42-60.

入库方式: OAI收割

来源:沈阳自动化研究所

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