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| Author | : Pavan Kumar Chitumalla |
| Publisher | : |
| Total Pages | : 54 |
| Release | : 2007 |
| Genre | : Real-time data processing |
| ISBN | : 9781109806410 |
Download Dynamic Plume Modeling and Real-time Routing for Emergency Response Book in PDF, ePub and Kindle
We consider the problem of finding shortest and safest paths in the presence of toxic gas dispersions that move dynamically with the changing wind speed and direction. First, to model this dynamic aspect of the gas plumes we developed the Weather Retriever software, that fetches the weather details of a particular location from the internet and works as the Station for Atmospheric Measurements (SAM) for a plume modeling software called ALOHA. Then we explored several options for displaying this dynamic plume on a geographic map. We proposed a solution that unifies several technologies and achieves the goal. Finally, we implemented it by extending an existing GIS application called ArcMap to display the dynamic plumes and find the emergency paths utilizing the geoprocessing tools and built-in Network Analyst.
| Author | : Srinivas Peeta |
| Publisher | : |
| Total Pages | : 40 |
| Release | : 2011-04-15 |
| Genre | : |
| ISBN | : 9781622600045 |
Download Dynamic Real-Time Routing for Evacuation Repsonse Planning and Execution Book in PDF, ePub and Kindle
| Author | : Leonard Barolli |
| Publisher | : Springer |
| Total Pages | : 1357 |
| Release | : 2019-03-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3030150321 |
Download Advanced Information Networking and Applications Book in PDF, ePub and Kindle
The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications. Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low cost and high volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing and information systems.
| Author | : Chongfu Huang |
| Publisher | : CRC Press |
| Total Pages | : 588 |
| Release | : 2015-05-26 |
| Genre | : Business & Economics |
| ISBN | : 1315687593 |
Download Emerging Economies, Risk and Development, and Intelligent Technology Book in PDF, ePub and Kindle
RACR is a series of biennial international conferences on risk analysis, crisis response, and disaster prevention for specialists and stakeholders. RACR-2015, held June 1-3, 2015 in Tangier, Morocco, was the fifth conference in this series, following the successful RACR-2007 in Shanghai (China), RACR-2009 in Beijing (China), RACR-2011 in Laredo (US
| Author | : Christos Xenakis |
| Publisher | : Springer |
| Total Pages | : 171 |
| Release | : 2012-02-10 |
| Genre | : Business & Economics |
| ISBN | : 3642216943 |
Download Critical Information Infrastructure Security Book in PDF, ePub and Kindle
This book constitutes the thoroughly refereed post-proceedings of the 5th International Workshop on Critical Information Infrastructure Security, CRITIS 2010, held in Athens, Greece in September 2010. The 12 revised full papers and two poster papers presented went through two rounds of reviewing and improvement and were selected from 30 submissions. The papers included address various techniques to realize the security of systems, communications, and data.
| Author | : |
| Publisher | : |
| Total Pages | : 7 |
| Release | : 1993 |
| Genre | : |
| ISBN | : |
Download A Real-time Emergency Response Workstation Using a 3-D Numerical Model Initialized with Sodar Book in PDF, ePub and Kindle
Many emergency response dispersion modeling systems provide simple Gaussian models driven by single meteorological tower inputs to estimate the downwind consequences from accidental spills or stack releases. Complex meteorological or terrain settings demand more sophisticated resolution of the three-dimensional structure of the atmosphere to reliably calculate plume dispersion. Mountain valleys and sea breeze flows are two common examples of such settings. To address these complexities, the authors have implemented the three-dimensional diagnostic MATHEW mass-adjusted wind field and ADPIC particle-in-cell dispersion models on a workstation for use in real-time emergency response modeling. MATHEW/ADPIC have shown their utility in a variety of complex settings over the last 15 years within the Department of Energy's Atmospheric Release Advisory Capability (ARAC) project. The models are initialized using an array of surface wind measurements from meteorological towers coupled with vertical profiles from an acoustic sounder (sodar). The workstation automatically acquires the meteorological data every 15 minutes. A source term is generated using either defaults or a real-time stack monitor. Model outputs include contoured isopleths displayed on site geography or plume densities shown over 3-D color shaded terrain. The models are automatically updated every 15 minutes to provide the emergency response manager with a continuous display of potentially hazardous ground-level conditions if an actual release were to occur. Model run time is typically less than 2 minutes on 6 megaflop ((approximately)30 MIPS) workstations. Data acquisition, limited by dial-up modem communications, requires 3 to 5 minutes.
| Author | : Mansooreh Mollaghasemi |
| Publisher | : |
| Total Pages | : 226 |
| Release | : 2003 |
| Genre | : Airports |
| ISBN | : |
Download Post-disaster Dynamic Routing of Emergency Vehicles Book in PDF, ePub and Kindle
| Author | : Yi Wen |
| Publisher | : |
| Total Pages | : 133 |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
Download Dynamic Vehicle Routing in Emergency Evacuation Book in PDF, ePub and Kindle
Since Hurricane Katrina, extensive studies have been conducted aiming to optimize the transit vehicle routing in the event of an emergency evacuation. However, the vast majority of the studies focus on solving the deterministic vehicle routing problem that all the evacuation data are known in advance. These studies are generally not practical in dealing with real-world problems which involve considerable uncertainty in the evacuation data set. In this dissertation, a SmartEvac system is developed for dynamic vehicle routing optimization in emergency evacuation. The SmartEvac system is capable of processing dynamic evacuation data in real time, such as random pickup requests, travel time change, network interruptions. The objective is to minimize the total travel time for all transit vehicles. A column generation based online optimization model is integrated into the SmartEvac system. The optimization model is based on the following structure: a master problem model and a sub-problem model. The master problem model is used for routes selection from a restricted routes set while the sub-problem model is developed to progressively add new routes into the restricted routes set. The sub-problem is formulated as a shortest path problem with capacity constraint and is solved using a cycle elimination algorithm. When the evacuation data are updated, the SmartEvac system will reformulate the optimization model and generate a new routes set based on the existing routes set. The computational results on benchmark problems are compared to other studies in the literature. The SmartEvac system outperforms other approaches on most of the benchmark problems in terms of computation time and solution quality. CORSIM simulation is used as a test bed for the SmartEvac system. CORSIM Run-Time-Extension is developed for communications between the simulation and the SmartEvac system. A case study of the Hurricane Gustav emergency evacuation is conducted. Different scenarios corresponding to different situations that presented in the Hurricane Gustav emergency evacuation are proposed to evaluate the performance of the SmartEvac system in response to real-time data. The average processing time is 28.9 seconds and the maximum processing time is 171 seconds, which demonstrate the SmartEvac system's capability of real-time vehicle routing optimization.
| Author | : Jeremy T. Hamm |
| Publisher | : |
| Total Pages | : 62 |
| Release | : 2010 |
| Genre | : |
| ISBN | : |
Download The Optimization of a Street Network Model for Emergency Response Analysis Within a Geographic Information System Book in PDF, ePub and Kindle
Emergency response is affected by both static and dynamic variables within a street network. Static variables are constant and do not change while dynamic variables change over time. When variables are input into emergency response, modeling the prediction of travel time will be more accurate which results in lives saved. This study focuses on modeling both static and dynamic variables within a street network model. This model incorporates the static variables of turn penalties, slope adjustment, and the dynamic variable of weather impact. The variables have been tested both individually and in conjunction with one another. The goal of this study is to develop a GIS model which predicts travel time for emergency vehicles with multiple variables included. The output travel times from this model were compared with actual travel time records in order to determine if the included variables have any impact on emergency response time. The model was developed using a combination of Python scripting and the Network Analyst extension in ArcGIS Desktop. Weather data in this study was downloaded from the National Weather Service. Other GIS data was provided by The Omega Group and a variety of other sources. Analysis of model results was accomplished with Correlation Analysis within Microsoft Excel. This statistical method determines how well the model output correlates with the actual travel times. The time recording methods showed no discernable impact on the model results. The static variables of turn penalties and slope adjustment showed only minor changes in accuracy, mostly below one percent. The dynamic weather variable improved the model accuracy significantly in all three study areas. The conclusion is that weather conditions effect emergency response time significantly. Turn penalties and slope adjustment do not have a large affect emergency response time.
| Author | : |
| Publisher | : |
| Total Pages | : 5 |
| Release | : 1995 |
| Genre | : |
| ISBN | : |
Download Diagnostic Modeling for Real-time Emergency Response Book in PDF, ePub and Kindle
The Atmospheric Release Advisory Capability (ARAC) provides real-time dose assessments for airborne pollutant releases. ARAC is currently in the process of developing an entirely new suite of models and system infrastructure. Diagnostic and dispersion algorithms are being created in-house and a prognostic model NO-RAPS, imported from the Naval Research Laboratory, Monterey, is currently being adapted to ARAC's needs. Diagnostic models are essential for an emergency response capability since they provide the ability to rapidly assimilate available meteorological data and generate the mass-consistent three-dimensional wind fields required by dispersion models. The resulting wind fields may also serve to initialize and validate prognostic models. In general, the performance of diagnostic models strongly correlates with the density and distribution of measurements in the area of interest and the resolution of the terrain. problem, data can be extracted from user-specified databases within a region defined by a metdata grid. Typically the data collection region will cover a geographic domain significantly larger than the area involved in the dispersion simulation in order to provide the most complete set of meteorological information relevant to the problem. This also permits the user to redefine the problem grid size and location, within limits, without reaccessing the meteorological data extraction system. After the data has been collected, an associated meteorological preprocessor places it in a standard form for further processing. The pre-processor does not alter or interpolate wind values; it only performs reversible transformations to convert the data to a standard unambiguous form, e.g. latitude, longitude, height, wind speed and direction. This allows the diagnostic models to use a generalized data ingest routine, not dependent on the form or format of the meteorological data source or database.
