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![]() |
刊名 | INTERACTION STUDIES
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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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