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(URI) Collaborative Research: A Real-Time Urban Management System (for Dynamic City Visualization and Decision Support)

(URI) Collaborative Research: A Real-Time Urban Management System (for Dynamic City Visualization and Decision Support)
(URI) 协作研究:实时城市管理系统(用于动态城市可视化和决策支持)
批准号:
9905844
负责人:
Hanan Samet
金额:
$16.63万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1999
资助国家:
美国
项目状态:
已结题
起止时间:
1999-03-15 至 2003-02-28

项目摘要

项目成果

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中文摘要
翻译
9905844Samet实时城市管理系统是一个系统,旨在直接响应现代城市和市政当局在了解和管理实时信息和资源方面的各种需求。 该系统将解决的主要问题是需要促进不同(多学科)用户群体之间的协作和信息共享。 原型系统的设计目的是提供静态和实时(或临时)信息,使其形象化,并在各种各样的用户群体、团体和职能之间立即分享。 这将包括民政部门以及社会和整个社区。 为了实现这一目标,我们打算集中在三个不同的应用领域。 它们是:1)洛杉矶地铁系统的警察应急反应培训和情况评估。 该应用是复杂的城市综合体的代表,对于熟悉紧急情况和执法人员来说,他们在紧急情况下将不可避免地发现自己所处的环境,该复杂的城市综合体通常是不可接近的。 为了训练而复制既困难又昂贵。 交通警察表示了与我们合作,利用VR技术对地铁车站和隧道内的警察进行紧急应对培训的强烈兴趣。该任务将在项目期间的前半期沿着以下描述的技术重点。2)技术研究。 以上应用将为今后的研究提供方向和动力。 我们还将重点放在系统的结构上,以便在确定新的应用程序时,有效地、简单地扩展和定制系统。 目标是减少对训练有素的专家构建此类应用程序的需求。 如果没有这种能力,这种系统的扩散将是缓慢的。 这里的目标是提供基本概念(数据模型、数据操作原语、到外部数据库的接口等)。3)在洛杉矶国际机场的应急响应和培训中应用该系统,将在2009年下半年 我们认为,机场将是开发从航空照片自动更新模型的技术的理想地点。 这是拟议研究的核心部分。 而实际的紧急情况(坠机、恐怖袭击、地震等)不能按需生产,我们将能够拍摄航空照片,将图像与模型配准,并开发技术来更新模型,例如,飞机的当前位置,紧急车辆的位置,在此期间,机场也将进行一些扩建和翻修,这一事实将允许使用“之前”一词。模型与一些航空照片和视频再次探讨所需的技术做变化分析自动模型更新。 机场还提供了许多机会,例如将纳入系统的车辆和人员位置的实时反馈。
英文摘要
9905844SametThe Real-time Urban Management System is a system, which is being designed to respond directly to the extremely diverse needs of modern cities and municipalities in their need to understand and manage real-time information and resources. The primary problem that this system will address is the need to facilitate collaboration and sharing of information amongst dissimilar (multi-disciplinary) user groups. The prototype system is being designed to allow information, both static and real-time (or temporal), to be made available, to be visualized and to be shared in an immediate fashion across a very diverse set of user populations, groups and functions. These will include civic departments as well as with society and the community as a whole. In order to accomplish this objectiv we intend to focus on three different application areas. They are:1) Police emergency response training and situation assessment for the Los Angeles metro subway system. This application is representative of an intricate urban complex which is normally inaccessible for familiarizing emergency and law enforcement personel with the environment which they will inevitably find themselves during an emergency situation. It is both difficult and expensive to replicate up for training. The transit police have expressed great interest in collaborating with us in the use of VR techniques in training police personel for emergency response in the metro stations and tunnels.This task will be carried out in the first half of the project period along with the technology focus described next.2) Technology research. The application above will provide the direction and impetus for the research. We will also focus is on the structuring of the system to permit efficient, simple extension and tailoring of the system to new applications as they are identified. The objective is to reduce the need for highly trained experts to build such applications. Without this capability the proliferation of such systems willBe slow indeed. The goal here is to provide the basic concepts (data models, data manipulation primitives, interfaces to external data bases, etc.) that permit relatively quick and efficient construction of new applications.3) Application of the system to emergency response and training for the Los Angeles International Airport will, in the second half of the project, be the testbed for the authoring system developed under item 2.We feel that the airport will be an ideal site for developing the technology for automatic update of the model from aerial photographs. This is a central part of the proposed research. While actual emergencies (crashes, terrorist attacks, earthquakes, etc.) can not be produced on demand, we will be able to take aerial photographs, register the images with the model and develop the techniques to update the model with, for example, the current positions of planes, location of emergency vehicles, etc. The fact that the airport is also due for some expansion and rennovation during this period will allow the use of a "before" model with some aerial photographs and video to again explore the techniques required to do change analysis an automatic model update. The airport also provides numerous opportunities for real-time feeds on the position of vehicles and personel for example which will be incorporated into the system.
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