Unraveling the propagation dynamics of passenger congestion in public transportation systems using big smart card data
IF 2.4
4区 计算机科学
Q2 COMPUTER SCIENCE, THEORY & METHODS
引用次数: 0
Abstract
We propose a comprehensive framework to explore propagation of passenger crowdedness in public transportation systems using 74.16 million trip chains. A deep learning method HSTGCNT is adopted whic...利用智能卡大数据揭示公共交通系统中乘客拥堵的传播动态
我们提出了一个综合框架，利用 7416 万个行程链来探索公共交通系统中乘客拥挤度的传播。我们采用了一种深度学习方法 HSTGCNT，该方法...
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来源期刊
International Journal of General Systems
工程技术-计算机：理论方法
CiteScore
4.10
自引率
20.00%
发文量
38
审稿时长
6 months
期刊介绍：
International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published.
The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.
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