CDS&E: STRONG Cities - Simulation Technologies for the Realization of Next Generation Cities
CDS
基本信息
- 批准号:1250232
- 负责人:
- 金额:$ 55.24万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-09-15 至 2017-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
1250232AliagaThe research objective of this proposal is to create a computational framework for producing next-generation new city designs or modifications to existing cities-Simulation Technologies for the Realization of Next Generation Cities or STRONG Cities. The project will enable designing 3D models of cities that are resilient (and "stronger") to its surrounding environment and more livable for its inhabitants. While multiple types of simulations can be performed, it is hard to encapsulate the subtle interdependencies between different parameters of the diverse urban modeling and simulation processes (e.g., weather, socio-economic, energy, and environmental simulations). This framework couples the traditional forward modeling process with an inverse urban modeling process that optimizes the input parameters to satisfy user-specified indicators. Effectively, the approach closes the loop between forward and inverse modeling and enabling the user to be much more efficient in generating a 3D model that satisfies their many requirements. Both forward and inverse modeling strategies can be applied during an exploration session for either local or global model modifications. The expected deliverables include software infrastructure, simulation algorithms, a re-parameterization method, and exemplary datasets and results for multiple cities. Furthermore, the project will provide several innovative tools for social and public engagement, for urban planning, and for indicator visualization. In particular, the project addresses designing, simulating, and visualizing future cities in order to evaluate building smart codes, sustainability plans, future architectural designs, alternative transportation investments, land use regulations, and environmental protection policies. It will build upon ongoing funded education projects, mainly through NSF and NOAA, to provide educational material to middle and high school students as well as university level students. Moreover, the project is also very well suited to promote diversity since both PIs are diversity award winners and already have a diverse research workforce.This research project is very timely. Mankind is now in the first century of the urban civilization. Since 2008, and for the first time in history, more than half of the world population lives in cities. Over the next 30 years the growth of the population and amount of urbanization will only increase. Hence, properly managing the growth of existing cities and the design of future cities is a vital issue that will only continue to increase in importance during the twenty-first century. The STRONG Cities project will provide the first computational system to dynamically integrate urban land use planning and several high impact simulations thus enabling a next generation of weather-aware, socio-economically planned, drought-ready, and greening conscious cities. The project addresses what has been called the "ultimate design challenge": urbanization. This objective is of significant interest to a wide variety of stakeholders worldwide and spanning several engineering and science fields (e.g., civil engineering, agricultural engineering, hydrology, and earth and atmospheric sciences) as well as urban planners, metropolitan planning organizations, and the hazard mitigation community.
1250232aliaga本提案的研究目标是创建一个计算框架,用于生成下一代新城市设计或对现有城市进行修改-实现下一代城市或强城市的模拟技术。该项目将设计出对周围环境具有弹性(和“更强”)的城市3D模型,使其更适合居民居住。虽然可以执行多种类型的模拟,但很难将不同城市建模和模拟过程(例如,天气,社会经济,能源和环境模拟)的不同参数之间的微妙相互依赖性封装起来。该框架将传统的正演建模过程与逆城市建模过程结合起来,优化输入参数以满足用户指定的指标。有效地,该方法关闭了正演和逆建模之间的循环,使用户能够更有效地生成满足其许多需求的3D模型。在勘探过程中,可以应用正演和逆演建模策略进行局部或全局模型修改。预期交付成果包括软件基础设施、模拟算法、重新参数化方法以及多个城市的示例数据集和结果。此外,该项目还将为社会和公众参与、城市规划和指标可视化提供一些创新工具。特别是,该项目涉及设计、模拟和可视化未来城市,以评估建筑智能规范、可持续发展计划、未来建筑设计、替代交通投资、土地使用法规和环境保护政策。它将建立在正在进行的教育资助项目的基础上,主要通过NSF和NOAA,为初高中学生和大学学生提供教育材料。此外,该项目也非常适合促进多元化,因为两个pi都是多元化奖获得者,并且已经拥有多元化的研究人员。这个研究项目非常及时。人类正处于城市文明的第一个世纪。自2008年以来,历史上第一次有超过一半的世界人口居住在城市。在未来的30年里,人口的增长和城市化的数量只会增加。因此,妥善管理现有城市的发展和未来城市的设计是一个至关重要的问题,在二十一世纪,这个问题的重要性只会继续增加。“强城市”项目将提供第一个动态整合城市土地利用规划和若干高影响模拟的计算系统,从而实现下一代具有天气意识、社会经济规划、抗旱准备和绿化意识的城市。该项目解决了所谓的“终极设计挑战”:城市化。这一目标引起了世界范围内各种各样的利益相关者的极大兴趣,涉及多个工程和科学领域(例如,土木工程、农业工程、水文学、地球和大气科学)以及城市规划者、都市规划组织和减灾界。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Daniel Aliaga其他文献
Digitizing cities for urban weather: representing realistic cities for weather and climate simulations using computer graphics and artificial intelligence
- DOI:
10.1007/s43762-023-00111-z - 发表时间:
2024-03-12 - 期刊:
- 影响因子:3.200
- 作者:
Daniel Aliaga;Dev Niyogi - 通讯作者:
Dev Niyogi
Daniel Aliaga的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Daniel Aliaga', 18)}}的其他基金
III: Medium: Collaborative Research: Deep Generative Modeling for Urban and Archaeological Recovery
III:媒介:协作研究:城市和考古恢复的深度生成模型
- 批准号:
2107096 - 财政年份:2021
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
EAGER: Minimal 3D Modeling Methodology
EAGER:最小 3D 建模方法
- 批准号:
2032770 - 财政年份:2020
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
Elements: Data: U-Cube: A Cyberinfrastructure for Unified and Ubiquitous Urban Canopy Parameterization
元素:数据:U-Cube:统一且无处不在的城市冠层参数化的网络基础设施
- 批准号:
1835739 - 财政年份:2019
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
CHS: Small: Functional Proceduralization of 3D Geometric Models
CHS:小型:3D 几何模型的功能程序化
- 批准号:
1816514 - 财政年份:2018
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
CGV: Medium: Collaborative Research: A Heterogeneous Inference Framework for 3D Modeling and Rendering of Sites
CGV:媒介:协作研究:用于站点 3D 建模和渲染的异构推理框架
- 批准号:
1302172 - 财政年份:2013
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
III: Medium: Collaborative Research: Integrating Behavioral, Geometrical and Graphical Modeling to Simulate and Visualize Urban Areas
III:媒介:协作研究:集成行为、几何和图形建模来模拟和可视化城市地区
- 批准号:
0964302 - 财政年份:2010
- 资助金额:
$ 55.24万 - 项目类别:
Continuing Grant
RI: Small: A Computational Framework for Marking Physical Objects against Counterfeiting and Tampering
RI:小型:用于标记物理对象防伪和篡改的计算框架
- 批准号:
0913875 - 财政年份:2009
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
MSPA-MCS: 3D Scene Digitization - A Novel Invariant Approach for Large-Scale Environment Capture
MSPA-MCS:3D 场景数字化 - 一种用于大规模环境捕获的新颖的不变方法
- 批准号:
0434398 - 财政年份:2004
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
相似国自然基金
水稻茎秆粗度和穗粒数多效性基因STRONG1的调控网络与作用机制分析
- 批准号:
- 批准年份:2022
- 资助金额:55 万元
- 项目类别:面上项目
相似海外基金
Twistors and Quantum Field Theory: Strong fields, holography and beyond
扭量和量子场论:强场、全息术及其他
- 批准号:
EP/Z000157/1 - 财政年份:2024
- 资助金额:
$ 55.24万 - 项目类别:
Research Grant
Attosecond and Strong Field Physics in Correlated Multielectron System
相关多电子系统中的阿秒与强场物理
- 批准号:
2419382 - 财政年份:2024
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
High-Valent Iron-Oxo Species for Activation of Strong CH Bonds: New Designs with Novel Ab Initio Methods and Machine Learning
用于激活强CH键的高价铁氧物种:采用新颖的从头算方法和机器学习的新设计
- 批准号:
24K17694 - 财政年份:2024
- 资助金额:
$ 55.24万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
CAREER: Understanding and Directing Selectivity in Functionalizations of Strong Covalent Bonds Utilizing Coordination-Sphere Effects
职业:利用配位球效应理解和指导强共价键官能化的选择性
- 批准号:
2338438 - 财政年份:2024
- 资助金额:
$ 55.24万 - 项目类别:
Continuing Grant
High-energy short-wavelength infrared soliton dynamics and sub-cycle strong-field physics
高能短波红外孤子动力学与亚周期强场物理
- 批准号:
EP/Z001250/1 - 财政年份:2024
- 资助金额:
$ 55.24万 - 项目类别:
Fellowship
Probing the Cosmos with Strong Gravitational Lensing
用强引力透镜探测宇宙
- 批准号:
24K07089 - 财政年份:2024
- 资助金额:
$ 55.24万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
CAREER: Accelerating Scientific Discovery via Deep Learning with Strong Physics Inductive Biases
职业:通过具有强物理归纳偏差的深度学习加速科学发现
- 批准号:
2338909 - 财政年份:2024
- 资助金额:
$ 55.24万 - 项目类别:
Continuing Grant
Algorithms for simulation of strong-field multi-particle dynamics on quantum computers
量子计算机上强场多粒子动力学模拟算法
- 批准号:
24K08336 - 财政年份:2024
- 资助金额:
$ 55.24万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
CAREER: Unravelling the Strong Interaction with High-Energy Nuclear Scattering
职业生涯:揭示高能核散射的强相互作用
- 批准号:
2239274 - 财政年份:2023
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant
SCC-IRG Track 1: Strengthening Resilience of Ojibwe Nations Across Generations (STRONG)
SCC-IRG 第 1 轨道:加强奥及布威民族代代相传的复原力(强)
- 批准号:
2233912 - 财政年份:2023
- 资助金额:
$ 55.24万 - 项目类别:
Standard Grant