SCC-IRG Track 1: Community-Driven Design of Fair, Urban Air Mobility Transportation Management Systems

SCC-IRG 第 1 轨:社区驱动的公平城市空中交通运输管理系统设计

基本信息

  • 批准号:
    2313104
  • 负责人:
  • 金额:
    $ 200万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-06-01 至 2027-05-31
  • 项目状态:
    未结题

项目摘要

Urban Air Mobility (UAM) envisions integrating the skyscape into the transportation network and encompasses services such as delivery drones, on-demand shared mobility by Vertical-Take Off and Landing (VTOL) aircraft for intra-city passenger trips, and, in the longer run, electric and autonomous VTOLs. This possible modal alternative provides a safe, reliable, and environmentally sound option to reduce surface-level congestion. Nevertheless, the history of transportation infrastructure development shows that it is imperative to design transportation infrastructures with the community to find the best balance between these sociotechnical requirements. Much research shows that the design of transportation systems has a long-lasting, often discriminatory effect that reinforces existing socio-economic inequality. As UAM is being developed as a new transportation mode, we are at an opportune moment to design its infrastructure to provide effective and equitable air mobility for all, avoiding our past mistakes. This project will focus on understanding the preferences, attitudes, and concerns of all stakeholders of UAM, including the potential users of UAM, the general public in different communities who may be positively and/or adversely affected by UAM, policymakers, and city planners. The knowledge elicited from the stakeholders will guide the design of an open-source Computer Aided Planning tool that policy-makers and urban planners can use to design UAM infrastructure that accommodates communities’ priorities and enables transportation equity. While the timeline for UAM may be in the future, its deployment may entail significant future investment in infrastructure which makes inclusion of equity considerations and early community engagement critical.We propose a ''Community-in-the-Loop Integrative Framework for Fair and Equitable Urban Air Mobility (UAM) Infrastructure Design''. Our integrative framework will develop methods to engage with key stakeholders to address significant socio-technical challenges, including (a) understanding the community preferences and desiderata in terms of necessary considerations for equitable mobility, (b) developing novel machine learning techniques to generate design options that optimize for community desiderata efficiently and (c) devising community-driven evaluative measures and trade-off decision mechanisms. We address these challenges by drawing from urban and transportation engineering, aerospace, and computer and information sciences. The final product of our framework is an open-source Computer Aided Planning tool called VertiCAP. VertiCAP will be equipped with novel machine learning-based algorithms to navigate complex design space options, including long-term decisions (i.e., allocation of UAM airports, also known as vertiports), medium-term decisions (i.e., design of air space), and short-term decisions (i.e., air-traffic control). We will establish a ''community council'' representing different stakeholders. Through continuous interactions with the community council, we will evaluate and demonstrate the effectiveness of the developed VertiCAP tool in the City of Austin, TX and Southern California.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Urban Air Mobility(UAM)设想将摩天大楼整合到运输网络中,并涵盖诸如送达无人机,垂直捕捞和降落(VTOL)飞机(VTOL)飞机(用于城市内乘客旅行)等服务,以及较长的运行,电动和自动vtols。这种可能的模态替代方案提供了一种安全,可靠且环保的选择,以减少表面水平的拥塞。然而,运输基础设施发展的历史表明,必须与社区一起设计运输基础设施,以在这些社会技术要求之间找到最佳平衡。许多研究表明,运输系统的设计具有持久的,通常是歧视性的效果,从而加剧了现有的社会经济不平等。随着UAM作为一种新的运输模式开发,我们将有机会设计其基础设施,以为所有人提供有效,公平的空气移动性,避免我们过去的错误。该项目将集中于了解UAM所有利益相关者的偏好,与会者和关注者,包括UAM的潜在用户,不同社区中的公众,他们可能会对UAM,政策制定者和城市规划师产生积极和/或不利影响。利益相关者提出的知识将指导开源计算机辅助计划工具的设计,该工具制定者和城市规划人员可以用来设计适合社区优先事项并实现运输股权的UAM基础设施。尽管UAM的时间表可能会在未来,但其部署可能需要对基础设施的未来大量投资,这使得股权考虑和早期社区参与至关重要。我们提出了一个“社区中的”社区综合框架,以实现公平且公平的城市空气流动性(UAM)基础设施设计''。我们的综合框架将开发与主要利益相关者互动以应对重大社会技术挑战的方法,包括(a)了解社区的偏好和deasireata,从必要的考虑因素方面,(b)开发新型的机器学习技术,以产生为社区欲望的优化,并为社区驱动的评估衡量衡量标准和贸易机制,以实现社区欲望的优化和(c)促进衡量衡量标准和交易。我们通过从城市和运输工程,航空航天以及计算机和信息科学来解决这些挑战。我们框架的最终产品是一种名为Verticap的开源计算机辅助计划工具。 Verticap将配备新颖的基于机器学习的算法,以浏览复杂的设计空间选项,包括长期决策(即,UAM机场的分配,也称为Vertiports),中期决策(即空间空间的设计)和短期决策(即,机场控制)。我们将建立代表不同利益相关者的“社区委员会”。通过与社区委员会的持续互动,我们将评估并证明在奥斯汀市,德克萨斯州和南加州市开发的Verticap工具的有效性。该奖项反映了NSF的法定任务,并被认为是通过基金会的知识分子优点和更广泛的影响标准通过评估来评估的。

项目成果

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Yasser Shoukry其他文献

An embedded hardware architecture for GPC-on-Chip applied to automotive active suspension systems
适用于汽车主动悬架系统的 GPC-on-Chip 嵌入式硬件架构
Scalable lazy SMT-based motion planning
基于惰性 SMT 的可扩展运动规划
Secure state estimation: Optimal guarantees against sensor attacks in the presence of noise
安全状态估计:在存在噪声的情况下防止传感器攻击的最佳保证
Rampo: A CEGAR-based Integration of Binary Code Analysis and System Falsification for Cyber-Kinetic Vulnerability Detection
Rampo:基于 CEGAR 的二进制代码分析和系统伪造集成,用于网络动力学漏洞检测
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kohei Tsujio;M. A. Faruque;Yasser Shoukry
  • 通讯作者:
    Yasser Shoukry
Secure state reconstruction in differentially flat systems under sensor attacks using satisfiability modulo theory solving
使用可满足性模理论求解在传感器攻击下的差分平坦系统中进行安全状态重建

Yasser Shoukry的其他文献

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{{ truncateString('Yasser Shoukry', 18)}}的其他基金

Collaborative Research: CPS: Medium: ASTrA: Automated Synthesis for Trustworthy Autonomous Utility Services
合作研究:CPS:媒介:ASTrA:值得信赖的自治公用事业服务的自动合成
  • 批准号:
    2139781
  • 财政年份:
    2022
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
CAREER: Decision Procedures for High-Assurance, AI-Controlled, Cyber-Physical Systems
职业:高可信度、人工智能控制、网络物理系统的决策程序
  • 批准号:
    1845194
  • 财政年份:
    2019
  • 资助金额:
    $ 200万
  • 项目类别:
    Continuing Grant
CAREER: Decision Procedures for High-Assurance, AI-Controlled, Cyber-Physical Systems
职业:高可信度、人工智能控制、网络物理系统的决策程序
  • 批准号:
    2002405
  • 财政年份:
    2019
  • 资助金额:
    $ 200万
  • 项目类别:
    Continuing Grant
CPS: Medium: Resilient-by-Cognition Cyber-Physical Systems
CPS:中:认知弹性网络物理系统
  • 批准号:
    2013824
  • 财政年份:
    2019
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
CPS: Medium: Resilient-by-Cognition Cyber-Physical Systems
CPS:中:认知弹性网络物理系统
  • 批准号:
    1837589
  • 财政年份:
    2018
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant
Collaborative Research: SOCIUS: Socially Responsible Smart Cities
合作研究:SOCIUS:具有社会责任感的智慧城市
  • 批准号:
    1651858
  • 财政年份:
    2016
  • 资助金额:
    $ 200万
  • 项目类别:
    Standard Grant

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