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名称：Cynthia barnhartinstitution：马萨诸塞州技术学院编号：0735905EFRI-ARESCI：用于国家航空运输系统的自治性重新配置系统中的理论和算法。 最近的研究表明，目前的NAT即将变得不稳定，扰动引起的拥塞和延误可能会阻止增长和扩张，从而使现有系统无法实现。 这项研究为NAT的全面和根本的重组奠定了基础，该基础是一种能够迅速调整以不可预见的事件和干扰的自主重新配置的系统，从日常天气不确定性（此处考虑）到紧急情况和灾难反应（未来研究的重要主题）。 这是通过动态，分布式，迭代和优化的容量分配和调度机制来实现的，并通过航空公司之间的动态定价和协作安排补充。 追求将FAA和航空公司联系起来的三阶段迭代：（1）能力分配：动态，空间和时间重新配置的能力； （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协作安排。 通过解决理论和算法基础，分析和综合以及可通过五个研究推力的序列重新配置的系统测试床的研究来支持这种迭代：（i）NATS的关键物理元素的动态重新配置； （ii）在不规则操作下，用于空中交通流量管理以及航空公司调度和恢复的算法和模型； （iii）在大规模分布的基于优化的ATFM和航空模型中的动态和适应性鲁棒性的新理论； （iv）基于市场的定价机制； （v）基于模型的系统测试床。本项目包括一些基于教育的外展计划。 博士学生这项资金支持将以其领域的核心能力出现，并以更广泛的知识基础以及在大型工程系统上工作的具体经验补充。 一个额外的结果将是研究人员的共同课程开发，他们将整合从概念理论思想到其研究生阶层的案例研究的材料。 拟议的研究还为让大学生参与前线研究提供了理想的机会。 麻省理工学院和UT奥斯汀都致力于此类倡议，特别是涉及妇女和少数民族。