EFRI-ARESCI: Theory and Algorithms for Autonomous Reconfigurability of the National Air Transportation System

EFRI-ARESCI：国家航空运输系统自主重构的理论和算法

• 批准号: 0735905
• 负责人: Cynthia Barnhart
• 金额: $ 200万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0735905&HistoricalAwards=false
• 关键词: EFRI; ARESCI; Theory; Algorithms; Autonomous

PI Name: Cynthia BarnhartInstitution: Massachusetts Institute of TechnologyProposal Number: 0735905EFRI-ARESCI: Theory and Algorithms for Autonomous Reconfigurability of the National Air Transportation SystemIn this project, investigators from the Massachusetts Institute of Technology and the University of Texas-Austin address critical needs in the national air transportation system (NATS). Recent studies suggest that the current NATS is on the verge of becoming unstable, with disturbance-induced congestion and delays likely to arrest growth and expansion, rendering the existing system unsustainable. This research establishes the foundation for the comprehensive and fundamental restructuring of the NATS, towards an autonomously reconfigurable system capable of adapting rapidly to unforeseen events and disturbances, ranging from daily weather uncertainty (considered here), to emergencies and disaster response (an important topic of future research). This is accomplished through dynamic, distributed, iterative and optimization-based capacity allocation and scheduling mechanisms, complemented by dynamic pricing and collaborative arrangements between airlines. A three-stage iteration linking the FAA and the airlines is pursued: (1) capacity allocation: dynamic, spatial and temporal reconfiguration of capacity; (2) dynamic, spatial and temporal reconfiguration of demand; (3) dynamic pricing and collaborative arrangements between airlines. This iteration is supported by research addressing the theoretical and algorithmic foundations, analysis and synthesis, and reconfigurable system test beds through a sequence of five research thrusts: (i) dynamic reconfiguration of critical physical elements of the NATS; (ii) algorithms and models for air traffic flow management, and airline scheduling and recovery, under irregular operations; (iii) a new theory of dynamic and adaptable robustness in large-scale distributed optimization-based ATFM and airline models; (iv) market-based pricing mechanisms; (v) a model-based system test bed.This project includes several education-based outreach initiatives. The Ph.D. students this funding supports will emerge with core competency in their field, supplemented by a much broader integrated base of knowledge, and with concrete experience working on a large-scale engineered system. An additional outcome will be joint curriculum development by the investigators, who will integrate material ranging from conceptual theoretical ideas to case studies in their graduate classes. The proposed research also provides an ideal opportunity for involving undergraduates in front-line research. Both MIT and UT Austin are committed to such initiatives, with particular emphasis on involving women and minorities.

PI姓名：Cynthia BarnhartInstitution：马萨诸塞州理工学院提案号：0735905 EFRI-ARESCI：国家航空运输系统自主可重构性的理论和算法在这个项目中，来自马萨诸塞州理工学院和德克萨斯大学奥斯汀分校的研究人员提出了国家航空运输系统（NATS）的关键需求。 最近的研究表明，目前的NATS处于不稳定的边缘，干扰引起的拥堵和延误可能会阻碍增长和扩张，使现有系统无法持续。 这项研究为NATS的全面和根本性重组奠定了基础，该系统能够快速适应不可预见的事件和干扰，从日常天气不确定性（这里考虑）到紧急情况和灾害响应（未来研究的重要课题）。 这是通过动态、分布式、迭代和基于优化的运力分配和调度机制来实现的，并辅之以动态定价和航空公司之间的合作安排。 联邦航空局和航空公司之间的三阶段迭代是：（1）容量分配：容量的动态、空间和时间重新配置;（2）需求的动态、空间和时间重新配置;（3）航空公司之间的动态定价和合作安排。 这一迭代得到了解决理论和算法基础、分析和综合以及可重构系统测试床的研究的支持，这些研究通过以下五个研究重点进行：（i）NATS关键物理元素的动态重构;（ii）在不规则操作下的空中交通流量管理、航空公司调度和恢复的算法和模型;（三）大规模分布式优化ATFM和航空公司模型中动态和适应性强的新理论;（四）基于市场的定价机制;（五）基于模型的系统试验台。 的博士学生这笔资金支持将出现在他们的领域的核心竞争力，由知识的更广泛的综合基础的补充，并与一个大规模的工程系统工作的具体经验。 另一个成果将是由调查人员联合开发课程，他们将在研究生课程中整合从概念理论想法到案例研究的材料。 拟议的研究也提供了一个理想的机会，让本科生参与一线研究。 麻省理工学院和德州大学奥斯汀分校都致力于这些举措，特别强调让妇女和少数民族参与进来。