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Hierarchical planning for resource allocation in emergency response systems

Published: 19 May 2021 Publication History

Abstract

A classical problem in city-scale cyber-physical systems (CPS) is resource allocation under uncertainty. Typically, such problems are modeled as Markov (or semi-Markov) decision processes. While online, offline, and decentralized approaches have been applied to such problems, they have difficulty scaling to large decision problems. We present a general approach to hierarchical planning that leverages structure in city-level CPS problems for resource allocation under uncertainty. We use emergency response as a case study and show how a large resource allocation problem can be split into smaller problems. We then create a principled framework for solving the smaller problems and tackling the interaction between them. Finally, we use real-world data from Nashville, Tennessee, a major metropolitan area in the United States, to validate our approach. Our experiments show that the proposed approach out-performs state-of-the-art approaches used in the field of emergency response.

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  • (2024)Evasion Attack and Defense on Machine Learning Models in Cyber-Physical Systems: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2023.334480826:2(930-966)Online publication date: Oct-2025
  • (2024)A bi-level robust optimization model for the coupling allocation of post-disaster personnel and materials assistanceJournal of Cleaner Production10.1016/j.jclepro.2024.143099(143099)Online publication date: Jul-2024
  • (2024)A novel hierarchical task network planning approach for multi-objective optimizationExpert Systems with Applications10.1016/j.eswa.2024.124058251(124058)Online publication date: Oct-2024
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Published In

cover image ACM Conferences
ICCPS '21: Proceedings of the ACM/IEEE 12th International Conference on Cyber-Physical Systems
May 2021
242 pages
ISBN:9781450383530
DOI:10.1145/3450267
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 19 May 2021

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Author Tags

  1. dynamic resource allocation
  2. hierarchical planning
  3. large-scale CPS
  4. planning under uncertainty
  5. semi-Markov decision process

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Overall Acceptance Rate 25 of 91 submissions, 27%

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Cited By

View all
  • (2024)Evasion Attack and Defense on Machine Learning Models in Cyber-Physical Systems: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2023.334480826:2(930-966)Online publication date: Oct-2025
  • (2024)A bi-level robust optimization model for the coupling allocation of post-disaster personnel and materials assistanceJournal of Cleaner Production10.1016/j.jclepro.2024.143099(143099)Online publication date: Jul-2024
  • (2024)A novel hierarchical task network planning approach for multi-objective optimizationExpert Systems with Applications10.1016/j.eswa.2024.124058251(124058)Online publication date: Oct-2024
  • (2023)Fairguard: Harness Logic-based Fairness Rules in Smart CitiesProceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation10.1145/3576842.3582371(105-116)Online publication date: 9-May-2023
  • (2023)Pulsed Power Load Coordination in Mission- and Time-critical Cyber-physical SystemsACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/35731978:1-2(1-27)Online publication date: 7-Mar-2023
  • (2022)Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected CommunitiesACM Transactions on Cyber-Physical Systems10.1145/35028696:4(1-26)Online publication date: 5-Nov-2022
  • (2022)Designing Decision Support Systems for Emergency Response: Challenges and Opportunities2022 Workshop on Cyber Physical Systems for Emergency Response (CPS-ER)10.1109/CPS-ER56134.2022.00012(30-35)Online publication date: May-2022
  • (2022)A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency ManagementAccident Analysis & Prevention10.1016/j.aap.2021.106501165(106501)Online publication date: Feb-2022

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