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Introduction to Time Series Modeling最新文献

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Simulation 模拟
Pub Date : 2020-08-10 DOI: 10.1201/9780429197963-16
G. Kitagawa
The numerical investigation of tsunami evacuation is becoming a major way to assess the potential evacuation risks and consider countermeasures, but it has been mostly limited to GIS-based static analysis or macroscopic agent-based modelling due to the costs of large-scale simulations. In this paper, we propose a simplified force-based evacuation simulation model and an easy-to-implement parallelization strategy for a large-scale microscopic tsunami evacuation simulation and demonstrate its applications in an actual urban environment. First, the simulation performance was verified and validated against experimental and observational results regarding basic pedestrian movement. The test results qualitatively and quantitatively showed good agreement with real pedestrian movements. The model was then applied to a case of tsunami evacuations in Kesennuma City, where the 2011 Tohoku tsunami caused devastating damage. The model was successfully scaled up to provide urban-scale characterization. In this application, the developed simulator was implemented by a hybrid MPI/OpenMP parallelized computing technique. By utilizing the proposed model with parallel computing, we achieved an urban-scale microscopic evacuation simulation five times faster than real-time and a stochastic simulation to
海啸疏散的数值研究正成为评估潜在疏散风险和考虑对策的主要方法,但由于大规模模拟的成本,大多局限于基于gis的静态分析或基于宏观agent的建模。在本文中,我们提出了一种简化的基于力的大规模微观海啸疏散模拟模型和易于实现的并行化策略,并演示了其在实际城市环境中的应用。首先,根据行人基本运动的实验和观测结果对仿真性能进行验证和验证。测试结果在定性和定量上都与真实的行人运动相吻合。该模型随后被应用于气仙沼市的海啸疏散案例,2011年东北海啸在气仙沼市造成了毁灭性的破坏。该模型被成功地按比例放大,以提供城市规模的表征。在此应用中,开发的模拟器采用MPI/OpenMP混合并行计算技术实现。利用所提出的模型和并行计算,我们实现了比实时快5倍的城市尺度微观疏散模拟和随机模拟
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引用次数: 0
Statistical Modeling 统计建模
Pub Date : 2020-08-10 DOI: 10.1201/9780429197963-4
G. Kitagawa
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引用次数: 0
Particle Filter 粒子滤波
Pub Date : 2020-08-10 DOI: 10.1201/9780429197963-15
G. Kitagawa
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引用次数: 0
Time-Varying Coefficient AR Model 时变系数AR模型
Pub Date : 2010-04-21 DOI: 10.1201/9781584889229-C13
G. Kitagawa
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引用次数: 0
Non-Gaussian State-Space Model 非高斯状态空间模型
Pub Date : 2010-04-21 DOI: 10.1201/9781584889229-C14
G. Kitagawa
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引用次数: 0
The Seasonal Adjustment Model 季节调整模式
Pub Date : 2010-04-21 DOI: 10.1201/9781584889229-C12
G. Kitagawa
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引用次数: 0
Introduction and Preparatory Analysis 引言及前期分析
Pub Date : 2010-04-21 DOI: 10.1201/9781584889229-C1
G. Kitagawa
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引用次数: 0
Estimation of an AR Model AR模型的估计
Pub Date : 2010-04-21 DOI: 10.1201/9781584889229-C7
G. Kitagawa
{"title":"Estimation of an AR Model","authors":"G. Kitagawa","doi":"10.1201/9781584889229-C7","DOIUrl":"https://doi.org/10.1201/9781584889229-C7","url":null,"abstract":"","PeriodicalId":268427,"journal":{"name":"Introduction to Time Series Modeling","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128341712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Estimation of the ARMA Model ARMA模型的估计
Pub Date : 2010-04-21 DOI: 10.1201/9781584889229-c10
G. Kitagawa
{"title":"Estimation of the ARMA Model","authors":"G. Kitagawa","doi":"10.1201/9781584889229-c10","DOIUrl":"https://doi.org/10.1201/9781584889229-c10","url":null,"abstract":"","PeriodicalId":268427,"journal":{"name":"Introduction to Time Series Modeling","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121756019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Power Spectrum and the Periodogram 功率谱和周期图
Pub Date : 2010-04-21 DOI: 10.1201/9781584889229-C3
G. Kitagawa
{"title":"The Power Spectrum and the Periodogram","authors":"G. Kitagawa","doi":"10.1201/9781584889229-C3","DOIUrl":"https://doi.org/10.1201/9781584889229-C3","url":null,"abstract":"","PeriodicalId":268427,"journal":{"name":"Introduction to Time Series Modeling","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122040527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Introduction to Time Series Modeling
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