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Traffic flow prediction is an essential part of intelligent transportation systems (ITS). Most of the previous traffic flow prediction work treated traffic flow as a time series process only, ignoring the spatial relationship from the upstream flows or the correlation with other traffic attributes like speed and density. In this paper, we utilize a linear conditional Gaussian (LCG) Bayesian network (BN) model to consider both spatial and temporal dimensions of traffic as well as speed information for short‐term traffic flow prediction. The LCG BN allows both continuous and discrete variables, which enables the consideration of categorical variables in traffic flow prediction. A microscopic traffic simulation dataset is used to test the performance of the proposed model compared to other popular approaches under different predicting time intervals. In addition, the authors investigate the importance of spatial data and speed data in flow prediction by comparing models with different levels of information. The results indicate that the prediction accuracy will increase significantly when both spatial data and speed data are included. Copyright © 2016 John Wiley & Sons, Ltd. 相似文献
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熊咏民 《西安交通大学学报(英文版)》2000,12(2):132-134
Staphylococcus aureus is found in the nose andon the skin of a variety of healthy individuals,andis an opportunistpathogen in patients with loweredhost resistance.The isoxazolylpenicillin (e.g.me-thicillin,cloxacillin,flucloxacillin) have been themainstay of treatment for infection over2 5years.But emergence of antibiotic resistance(MRSA) is aproblem in hospitals due to transmission of epi-demic MRSA strains with antibiotic resistance.Ac-quisition of MRSA continues to be of major con-cern… 相似文献
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针对电气化铁路接触网开关集中控制的要求,提出了一种新型光纤通信分布式微机监控系统方案,给出了系统结构,硬件及软件架构设计.实验及现场运行表明,该系统设计先进,通信可靠,运行稳定 相似文献
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为了提高舰船辐射噪声信号分类的准确率,即在水下进行舰船目标识别的准确率,采用了小波包提取信号能量谱特征的方法和支持向量机的分类算法.简介了小波包变换及支持向量机的基本原理,然后针对舰船辐射噪声信号进行多层小波包分解,提取各子频段能量谱作为特征量,归一化处理后构建特征向量,最后用支持向量机算法进行分类.仿真实验结果表明,利用对信号的多层小波包分解提取能量谱特征和支持向量机的分类算法能对舰船辐射噪声信号进行有效识别. 相似文献
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A novel aluminum alloy which could react with water and generate hydrogen at room temperature was prepared via mechanical alloying (MA). The results shows that milling time, additives and mass ratio have a significant role in the hydrogen production rate. The highest hydrogen production rate of alloys reaches 95% of theoretical value. The velocity of hydrogen generation reaches more over 200 mL/min for a gram alloy. Active materials (Ga and In) included in the aluminum alloys can be recycled and used repeatedly. The hydrolysis reaction between aluminum and H2O will take place and release a large amount of heat, which contributes to increasing the velocity of hydrogen generation. The reaction products consist of AlO(OH) and hydrogen. 相似文献