Simulating Large-Scale Events as a Network of Heterogeneous Queues: Framework and Application

2021 ◽  
pp. 036119812110357
Author(s):  
Christopher Cummings ◽  
Hoseb Abkarian ◽  
Yuhan Zhou ◽  
Divyakant Tahlyan ◽  
Karen Smilowitz ◽  
...  
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Transportation Systems ◽  
Simulation Framework ◽  
Policy Changes ◽  
Special Events ◽  
Improve Planning ◽  
Planned Special Events

Large-scale planned special events (PSEs) can pose unique transportation and logistics challenges. Data collection and simulation are important tools to address these challenges, although they are often difficult because of event size and complexity. This paper discusses methods to address the challenge of multimodal simulation at large PSEs through the context of AirVenture, a large week-long airshow organized by the Experimental Aircraft Association in Oshkosh, Wisconsin. Sampling and data collection techniques are discussed for a variety of modal processes like private vehicles, pedestrians, and shuttles, and for different situations like vehicle arrivals and departures, pedestrian queues, and shuttle systems. A flexible simulation framework for integrating these three modes and numerous activities is developed as a network of heterogeneous queues and queue-dependent choices. The simulation tested a variety of proposed policy changes around the site, including rerouting shuttle lines, and adjusting the system of vehicle arrivals to the site. Results of this study demonstrate the effectiveness and flexibility of the data collection and simulation methodologies. The techniques developed in this work can be used to improve planning and transportation systems at many other forms of PSE.

Molecular Epidemiology and Biomarkers in Etiologic Cancer Research: The New in Light of the Old

2020 ◽  
Author(s):  
Lungwani Muungo
Keyword(s):  
Gene Expression ◽  
Cancer Research ◽  
Molecular Epidemiology ◽  
Exposure Assessment ◽  
Large Scale ◽  
First Generation ◽  
Cancer Epidemiology ◽  
Policy Changes ◽  
The Past ◽  
New Generation

The purpose of this review is to evaluate progress inmolecular epidemiology over the past 24 years in canceretiology and prevention to draw lessons for futureresearch incorporating the new generation of biomarkers.Molecular epidemiology was introduced inthe study of cancer in the early 1980s, with theexpectation that it would help overcome some majorlimitations of epidemiology and facilitate cancerprevention. The expectation was that biomarkerswould improve exposure assessment, document earlychanges preceding disease, and identify subgroupsin the population with greater susceptibility to cancer,thereby increasing the ability of epidemiologic studiesto identify causes and elucidate mechanisms incarcinogenesis. The first generation of biomarkers hasindeed contributed to our understanding of riskandsusceptibility related largely to genotoxic carcinogens.Consequently, interventions and policy changes havebeen mounted to reduce riskfrom several importantenvironmental carcinogens. Several new and promisingbiomarkers are now becoming available for epidemiologicstudies, thanks to the development of highthroughputtechnologies and theoretical advances inbiology. These include toxicogenomics, alterations ingene methylation and gene expression, proteomics, andmetabonomics, which allow large-scale studies, includingdiscovery-oriented as well as hypothesis-testinginvestigations. However, most of these newer biomarkershave not been adequately validated, and theirrole in the causal paradigm is not clear. There is a needfor their systematic validation using principles andcriteria established over the past several decades inmolecular cancer epidemiology.

scholarly journals GNSS RUMS: GNSS Realistic Urban Multiagent Simulator for Collaborative Positioning Research

2021 ◽  
Vol 13 (4) ◽  
pp. 544
Author(s):  
Guohao Zhang ◽  
Bing Xu ◽  
Hoi-Fung Ng ◽  
Li-Ta Hsu
Keyword(s):  
Urban Area ◽  
Intelligent Transportation Systems ◽  
Urban Areas ◽  
Large Scale ◽  
Transportation Systems ◽  
Accurate Localization ◽  
Gnss Receivers ◽  
Multipath Signal ◽  
Scale Test ◽  
Error Behavior

Accurate localization of road agents (GNSS receivers) is the basis of intelligent transportation systems, which is still difficult to achieve for GNSS positioning in urban areas due to the signal interferences from buildings. Various collaborative positioning techniques were recently developed to improve the positioning performance by the aid from neighboring agents. However, it is still challenging to study their performances comprehensively. The GNSS measurement error behavior is complicated in urban areas and unable to be represented by naive models. On the other hand, real experiments requiring numbers of devices are difficult to conduct, especially for a large-scale test. Therefore, a GNSS realistic urban measurement simulator is developed to provide measurements for collaborative positioning studies. The proposed simulator employs a ray-tracing technique searching for all possible interferences in the urban area. Then, it categorizes them into direct, reflected, diffracted, and multipath signal to simulate the pseudorange, C/N0, and Doppler shift measurements correspondingly. The performance of the proposed simulator is validated through real experimental comparisons with different scenarios based on commercial-grade receivers. The proposed simulator is also applied with different positioning algorithms, which verifies it is sophisticated enough for the collaborative positioning studies in the urban area.

Discrete Dynamic Shortest Path Problems in Transportation Applications: Complexity and Algorithms with Optimal Run Time

1998 ◽  
Vol 1645 (1) ◽  
pp. 170-175 ◽  
Author(s):  
Ismail Chabini
Keyword(s):  
Large Scale ◽  
Shortest Paths ◽  
Transportation Systems ◽  
Solution Algorithm ◽  
Shortest Path Problems ◽  
Discrete Dynamic ◽  
Solution Algorithms ◽  
Dynamic Network Models ◽  
Early Results ◽  
Run Time

A solution is provided for what appears to be a 30-year-old problem dealing with the discovery of the most efficient algorithms possible to compute all-to-one shortest paths in discrete dynamic networks. This problem lies at the heart of efficient solution approaches to dynamic network models that arise in dynamic transportation systems, such as intelligent transportation systems (ITS) applications. The all-to-one dynamic shortest paths problem and the one-to-all fastest paths problems are studied. Early results are revisited and new properties are established. The complexity of these problems is established, and solution algorithms optimal for run time are developed. A new and simple solution algorithm is proposed for all-to-one, all departure time intervals, shortest paths problems. It is proved, theoretically, that the new solution algorithm has an optimal run time complexity that equals the complexity of the problem. Computer implementations and experimental evaluations of various solution algorithms support the theoretical findings and demonstrate the efficiency of the proposed solution algorithm. The findings should be of major benefit to research and development activities in the field of dynamic management, in particular real-time management, and to control of large-scale ITSs.

LARGE-SCALE PREDICTOR VALIDATION IN PROJECT A: DATA COLLECTION PROCEDURES AND DATA BASE PREPARATION

1990 ◽  
Vol 43 (2) ◽  
pp. 301-311 ◽  
Author(s):  
WINNIE Y. YOUNG ◽  
JANIS S. HOUSTON ◽  
JAMES H. HARRIS ◽  
R. GENE HOFFMAN ◽  
LAURESS L. WISE
Keyword(s):  
Data Collection ◽  
Data Base ◽  
Large Scale

Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network

2022 ◽  
Vol 13 (2) ◽  
pp. 1-25
Author(s):  
Bin Lu ◽  
Xiaoying Gan ◽  
Haiming Jin ◽  
Luoyi Fu ◽  
Xinbing Wang ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Road Network ◽  
Large Scale ◽  
Transportation Systems ◽  
Urban Traffic ◽  
Propagation Mechanism ◽  
Urban Road ◽  
The Road ◽  
Traffic Flow Forecasting ◽  
Gating Mechanism

Urban traffic flow forecasting is a critical issue in intelligent transportation systems. Due to the complexity and uncertainty of urban road conditions, how to capture the dynamic spatiotemporal correlation and make accurate predictions is very challenging. In most of existing works, urban road network is often modeled as a fixed graph based on local proximity. However, such modeling is not sufficient to describe the dynamics of the road network and capture the global contextual information. In this paper, we consider constructing the road network as a dynamic weighted graph through attention mechanism. Furthermore, we propose to seek both spatial neighbors and semantic neighbors to make more connections between road nodes. We propose a novel Spatiotemporal Adaptive Gated Graph Convolution Network ( STAG-GCN ) to predict traffic conditions for several time steps ahead. STAG-GCN mainly consists of two major components: (1) multivariate self-attention Temporal Convolution Network ( TCN ) is utilized to capture local and long-range temporal dependencies across recent, daily-periodic and weekly-periodic observations; (2) mix-hop AG-GCN extracts selective spatial and semantic dependencies within multi-layer stacking through adaptive graph gating mechanism and mix-hop propagation mechanism. The output of different components are weighted fused to generate the final prediction results. Extensive experiments on two real-world large scale urban traffic dataset have verified the effectiveness, and the multi-step forecasting performance of our proposed models outperforms the state-of-the-art baselines.

Marketing Public Relations Melalui Instagram Screamous

2020 ◽  
Vol 2 (4) ◽  
pp. 361-380
Author(s):  
Nathasya Wiguna Wiguna ◽  
Nathasya Wiguna Dang Eif Dono Darsono
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Public Relations ◽  
Descriptive Analysis ◽  
Active Role ◽  
Online Media ◽  
Good Citizen ◽  
Special Events ◽  
Pull Strategy ◽  
The Times

ABSTRAK Nathasya Wiguna, Marketing Public Relations Melalui Instagram Screamous (Analisis Deskriptif pada Instagram @Screamous_55) Media sosial Instagram media dan seiring dengan berkembangnya zaman, Instagram menjadi salah satu media sosial yang cukup diminati untuk kepentingan komunikasi pemasaran, dengan ciri khasnya mengedepankan pesan visual dan audio visual dengan interaktivitas yang tinggi. Marketing Public Relations Instagram Screamous menjadikan instagram sebagai media atau saluran dalam berbisnis salah satunya di bidang fashion. Screamous dalam hal ini memiliki peran aktif dalam mengelola dan menginformasikan sebuah produk melalui media online.  Penelitian ini bertujuan untuk meraih penyampaian informasi, mengenalkan brand dan produk serta menerapkan bangga akan produk lokal dengan menciptakan opini yang menguntungkan dan berhasilnya pemasaran. Selain itu bertujuan untuk mengetahui pull strategi dalam menarik minat konsumen terhadap konsumen, dengan push strategi yang mendorong berhasilnya pemasaran dan menggunakan pass strategi dalam memberikan opini yang menguntungkan. Metode yang digunakan dalam penelitian ini adalah Kualitatif dengan pendekatan analisis desktiptif dan menerapkan paradigma konstruktivisme, kemudian teknik yang di gunakan pada penelitian ini adalah teknik pengumpulan data, observasi partisipatori pasif, wawancara mendalam dan studi dokumen. Penelitian ini dilakukan melalui langkah-langkah : menentukan lokasi penelitian, menentukan metode penelitian, menentukan pemilihan informan, menentukan sumber dan jenis data, menentukan teknik pengumpulan data serta mengolah dan menganalisis data. Hasil penelitian ini menunjukan bahwa dalam mengenalkan dan mempertahankan brand lokal, dalam menunjang berhasilnya pemasaran. Screamous mengajak kepada para konsumen menyatukan suatu pemahaman bahwa sebagai warga negara yang baik, harus bangga akan produk lokal atau produk  dalam negeri. Marketing Public Relations Melalui Instagram Screamous dalam mempromosikan suatu produk terdiri dari Pull Strategy dalam menarik minat melalui campaign di produk atau barang Screamous dan melakukan kegiatan promosi melalui media online, dan media sosial. Push Strategy Screamous melalui spesial event, seperti kickfest, expo dalam mendorong berhasilnya pemasaran. Pass Strategy Screamous dalam menciptakan opini yang menguntungkan melalui kegiatan sponsorship seperti acara seminar, edukasi, acara musik dalam menjalin kerjasama dan membantu generasi bangsa dalam berkarya. Kata Kunci :Pemasaran, Instagram, dan Screamous ABSTRACT Nathasya Wiguna, Marketing Public Relations Through Instagram Screamous (Deskriptive analysis on Instagram @Screamous_55) Instagram media social media and along with the times, Instagram has become one of the social media that is in great demand for marketing communication purposes, with its trademark promoting visual and audio visual messages with high interactivity. Marketing Public Relations Instagram Screamous makes Instagram as a media or channel in doing business, one of them is in the fashion sector. Screamous in this case has an active role in managing and informing a product through online media. This study aims to achieve information delivery, introduce brands and products and apply pride in local products by creating favorable opinions and marketing success. In addition, it aims to find out the pull strategies in attracting consumer interest to consumers, with push strategies that encourage successful marketing and use pass strategies in providing favorable opinions. The method used in this study is qualitative with descriptive analysis approach and applying the constructivism paradigm, then the techniques used in this study are data collection techniques, passive participatory observation, in-depth interviews and document studies. This research was carried out through steps: determining the location of the study, determining the research method, determining the selection of informants, determining the source and type of data, determining the data collection techniques and processing and analyzing data. The results of this study indicate that in introducing and maintaining a local brand, in supporting the success of marketing. Screamous invites consumers to unite an understanding that as a good citizen, they must be proud of local products or domestic products. Marketing Public Relations Through Instagram Screamous in promoting a product consists of Pull Strategy in attracting interest through campaigns on Screamous products or goods and conducting promotional activities through online media, and social media. Push Strategy Screamous through special events, such as kickfest, expo in encouraging marketing success. Strategy Screamous Pass in creating favorable opinions through sponsorship activities such as seminars, education, music events in collaborating and helping the nation's generation in work.   Keywords: Marketing, Instagram, and Screamous  

Energy Efficient Data Collection in Large-Scale Internet of Things via Computation Offloading

2019 ◽  
Vol 6 (3) ◽  
pp. 4176-4187 ◽  
Author(s):  
Guorui Li ◽  
Jingsha He ◽  
Sancheng Peng ◽  
Weijia Jia ◽  
Cong Wang ◽  
...  
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Energy Efficient ◽  
Large Scale ◽  
Computation Offloading ◽  
Efficient Data ◽  
Efficient Data Collection
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