CAREER: Integrative Resource Optimization Framework for Large-scale Drone Delivery Systems

职业:大型无人机交付系统的综合资源优化框架

基本信息

  • 批准号:
    1944068
  • 负责人:
  • 金额:
    $ 50万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-07-01 至 2025-06-30
  • 项目状态:
    未结题

项目摘要

This Faculty Early Career Development Program (CAREER) grant will contribute to the advancement of national prosperity and economic welfare by promoting safe, efficient and equitable use of low-altitude airspace for drone delivery operations. Drone delivery has the potential to reduce last-mile delivery time from hours to minutes and eliminate billions of individual trips that are otherwise unsafe, polluting and wasteful. However, safety and scalability challenges exist that currently impede commercial deployment at scale. This award supports research toward a fundamental understanding of how diverse resources can be managed to enable efficient city-scale drone delivery services. The design and operational challenges include optimal location of depots and rally points, capacity planning, fleet management, and dynamic vehicle routing under battery, traffic, and weather constraints. The research will support integration of aerial vehicle logistics, vehicle onboard intelligence, and air traffic management. The education program aims to generate new curricula, train new STEM talent and inspire new entrepreneurs in a new field at the intersection of aviation, robotics and operations research. The education program will also create undergraduate research opportunities, particularly for under-represented minorities in STEM. This project will introduce a general, optimization-based framework for modeling complex decision-making processes in aerial logistics operations, as well as new algorithms for solving problems modeled in such a framework. Three safety-critical resources, including ground stations, batteries, and the airspace, will be studied comprehensively and modeled holistically: the location and configuration of ground stations are informed by a suite of battery power prediction models, and in turn, determine the feasible paths of drones and hence the optimal dynamic allocation of airspace corridors. The research will develop (1) decomposable mathematical programs to tackle robust network design and continuous location problems, (2) new algorithms that combine evolutionary computing with convex optimization for solving nonlinear combinatorial problems, (3) a new framework for modeling stochastic multi-agent systems based on innovative extensions of Markov decision processes, and (4) improved algorithms for in-flight battery power management. The research approach integrates theoretical developments with practical implementation and is heavily informed by commercial application potential. Software apps will be developed and flight trials will be conducted to deliver practical relevance and impact.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.
这项学院早期职业发展计划(CALEAR)赠款将通过促进安全、高效和公平地使用低空空域进行无人机交付操作,为促进国家繁荣和经济福利做出贡献。无人机送货有可能将最后一英里的送货时间从几小时缩短到几分钟,并消除数十亿次不安全、污染和浪费的个人旅行。然而,安全和可扩展性方面的挑战目前阻碍了大规模的商业部署。该奖项支持研究,以从根本上理解如何管理多样化的资源,以实现高效的城市规模的无人机交付服务。设计和运营挑战包括站点和集合点的最佳位置、容量规划、车队管理以及在电池、交通和天气限制下的动态车辆路线。这项研究将支持航空车辆物流、车载智能和空中交通管理的集成。该教育项目旨在产生新的课程,培养新的STEM人才,并在航空、机器人和运筹学交叉的新领域激励新的企业家。该教育计划还将为本科生创造研究机会,特别是为STEM中代表性不足的少数族裔创造机会。这个项目将介绍一个通用的,基于优化的框架,用于对空中物流操作中复杂的决策过程进行建模,以及用于解决在这样一个框架中建模的问题的新算法。将对地面站、电池和空域三种安全关键资源进行综合研究和整体建模:地面站的位置和配置由一套电池功率预测模型提供信息,进而确定无人机的可行路径,从而确定空域走廊的最优动态分配。这项研究将开发(1)可分解的数学规划来解决稳健的网络设计和连续选址问题,(2)将进化计算与凸优化相结合的新算法来解决非线性组合问题,(3)基于马尔可夫决策过程的创新扩展的随机多智能体系统建模的新框架,以及(4)飞行中电池功率管理的改进算法。该研究方法将理论发展与实际实施相结合,并在很大程度上取决于商业应用潜力。将开发软件应用程序,并进行飞行试验,以提供实际的相关性和影响。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
bsnsing: A Decision Tree Induction Method Based on Recursive Optimal Boolean Rule Composition
bsnsing:一种基于递归最优布尔规则组合的决策树归纳方法
  • DOI:
    10.1287/ijoc.2022.1225
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    2.1
  • 作者:
    Liu, Yanchao
  • 通讯作者:
    Liu, Yanchao
Optimized Landing of Drones in the Context of Congested Air Traffic and Limited Vertiports
在空中交通拥堵和垂直起落场有限的情况下优化无人机着陆
A multi-agent semi-cooperative unmanned air traffic management model with separation assurance
具有间隔保证的多智能体半合作无人机交通管理模型
Routing battery-constrained delivery drones in a depot network: A business model and its optimization–simulation assessment
A Smart Landing Platform With Data-Driven Analytic Procedures for UAV Preflight Safety Diagnosis
  • DOI:
    10.1109/access.2021.3128866
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Zhenyu Zhou;Yanchao Liu
  • 通讯作者:
    Zhenyu Zhou;Yanchao Liu
{{ 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 }}

Yanchao Liu其他文献

Study on mathematical model of hydration expansion of steel slag-cement composite cementitious material
钢渣-水泥复合胶凝材料水化膨胀数学模型研究
  • DOI:
    10.1080/09593330.2020.1713906
  • 发表时间:
    2020-01
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    Yinan Weng;Yanchao Liu;Jiaxiang Liu
  • 通讯作者:
    Jiaxiang Liu
Preparation of Porous Composite Bio-carriers from Lignin-Carbohydrate Complexes and Cellulose Nanocrystals, and their Application in the Culture of Human Hepatocytes
木质素-碳水化合物复合物和纤维素纳米晶多孔复合生物载体的制备及其在人肝细胞培养中的应用
  • DOI:
    10.15376/biores.14.3.6465-6484
  • 发表时间:
    2019-06
  • 期刊:
  • 影响因子:
    1.5
  • 作者:
    Hongfei Wu;Yimin Xie;Houkuan Zhao;Xuekuan Chen;Chen Jiang;Shuying Bi;Yanchao Liu
  • 通讯作者:
    Yanchao Liu
The Existence of Cellulose and Lignin Chemical Connections in Ginkgo Traced by 2H-13C Dual Isotopes
2H-13C 双同位素追踪银杏中纤维素和木质素化学连接的存在
  • DOI:
    10.15376/biores.15.4.9028-9044
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    1.5
  • 作者:
    Yimin Xie;Yanchao Liu;Chen Jinag;Hongfei Wu;Shuying Bi
  • 通讯作者:
    Shuying Bi
Feasibility assessment of enhancing permeability and stability in marine hydrate reservoirs with dual-enhanced stimulation: Slurry-sediment cementation characteristics
双重强化增产措施提高海洋水合物储层渗透率和稳定性的可行性评估:泥浆-沉积物胶结特性
  • DOI:
    10.1016/j.apor.2025.104545
  • 发表时间:
    2025-05-01
  • 期刊:
  • 影响因子:
    4.400
  • 作者:
    Fang Jin;Feng Huang;Guobiao Zhang;Bing Li;Yanchao Liu;Jianguo Lv
  • 通讯作者:
    Jianguo Lv
Bidirectional temporal and frame-segment attention for sparse action segmentation of figure skating
  • DOI:
    10.1016/j.cviu.2024.104186
  • 发表时间:
    2024-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Yanchao Liu;Xina Cheng;Yuan Li;Takeshi Ikenaga
  • 通讯作者:
    Takeshi Ikenaga

Yanchao Liu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('Yanchao Liu', 18)}}的其他基金

I-Corps: Optimization-driven high-density air traffic management software for large-scale drone operations
I-Corps:用于大规模无人机操作的优化驱动的高密度空中交通管理软件
  • 批准号:
    2018127
  • 财政年份:
    2020
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant

相似国自然基金

建立integrative分析新策略挖掘肺腺癌致癌相关关键分子
  • 批准号:
    31801123
  • 批准年份:
    2018
  • 资助金额:
    17.0 万元
  • 项目类别:
    青年科学基金项目
Chinese Journal of Integrative Medicine
  • 批准号:
    81224004
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Journal of Integrative Plant Biology
  • 批准号:
    31024801
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目

相似海外基金

Functional genomic resource and integrative model of dopaminergic circuitry associated with psychiatric disease
与精神疾病相关的多巴胺能回路的功能基因组资源和整合模型
  • 批准号:
    10360606
  • 财政年份:
    2019
  • 资助金额:
    $ 50万
  • 项目类别:
Functional genomic resource and integrative model of dopaminergic circuitry associated with psychiatric disease
与精神疾病相关的多巴胺能回路的功能基因组资源和整合模型
  • 批准号:
    9924477
  • 财政年份:
    2019
  • 资助金额:
    $ 50万
  • 项目类别:
Functional genomic resource and integrative model of dopaminergic circuitry associated with psychiatric disease
与精神疾病相关的多巴胺能回路的功能基因组资源和整合模型
  • 批准号:
    10400466
  • 财政年份:
    2019
  • 资助金额:
    $ 50万
  • 项目类别:
Functional genomic resource and integrative model of dopaminergic circuitry associated with psychiatric disease
与精神疾病相关的多巴胺能回路的功能基因组资源和整合模型
  • 批准号:
    10579957
  • 财政年份:
    2019
  • 资助金额:
    $ 50万
  • 项目类别:
An integrative investigation of international research and development and international human resource management in multinational corporations
跨国公司国际研发与国际人力资源管理的综合考察
  • 批准号:
    17H02559
  • 财政年份:
    2017
  • 资助金额:
    $ 50万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Michigan Integrative Musculoskeletal Health Core Center (Resource-based Center)
密歇根综合肌肉骨骼健康核心中心(资源中心)
  • 批准号:
    9761834
  • 财政年份:
    2016
  • 资助金额:
    $ 50万
  • 项目类别:
Integrative Resource to Develop Translational Strategies to Promote Longevity
整合资源制定促进长寿的转化策略
  • 批准号:
    9769608
  • 财政年份:
    2015
  • 资助金额:
    $ 50万
  • 项目类别:
Integrative Resource to Develop Translational Strategies to Promote Longevity
整合资源制定促进长寿的转化策略
  • 批准号:
    9138960
  • 财政年份:
    2015
  • 资助金额:
    $ 50万
  • 项目类别:
Achieving Wellness, Strength, and Resilience through Integrative Indigenous and Western Approaches to Resource Development in Canada
通过加拿大本土和西方综合资源开发方法实现健康、力量和复原力
  • 批准号:
    342577
  • 财政年份:
    2015
  • 资助金额:
    $ 50万
  • 项目类别:
    Operating Grants
Integrative Resource to Develop Translational Strategies to Promote Longevity
整合资源制定促进长寿的转化策略
  • 批准号:
    8965711
  • 财政年份:
    2015
  • 资助金额:
    $ 50万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了