发表机构
Dhaka University of Engineering & Technology; Bangladesh Army University of Engineering & Technology（达卡工程技术大学; 孟加拉国陆军工程技术大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出一种智能防洪响应框架，利用时序规划技术建模防洪响应全生命周期，整合多类关键要素并支持执行中重规划，通过两种规划语言表述，实验验证其可行性与可扩展性并指导规划器选择。
AI 中文摘要
对多个同时被淹没区域的有效响应，需要在严重资源约束下按正确时间顺序协调适当行动。自动规划通过在给定可用资源、约束和目标的形式化描述下生成感知时间的调度方案，为解决这一挑战提供了基础。本研究提出一种智能防洪响应框架，该框架利用时序规划技术，对防洪响应的完整运营生命周期进行建模。该框架整合了优先级驱动的分类、路线可达性与出行成本、资源分配以及物资管理，同时支持在执行过程中针对意外环境变化进行重新规划。该框架同时采用动作符号建模语言（ANML）和规划域定义语言（PDDL）2.1版本进行形式化表述，便于与更多时序规划器兼容。实验结果验证了所提框架的可行性与可扩展性，表明时序规划可有效建模并解决防洪响应场景，同时为规划器的选择提供了指导。
英文摘要
Effective response to multiple, simultaneously flooded areas requires coordinating appropriate actions in the correct temporal order, under severe resource constraints. Automated planning provides a foundation for addressing this challenge by generating time-aware schedules, given a formal description of available resources, constraints, and goals. This work presents an intelligent flood-response framework that exploits temporal planning and models the complete operational life cycle of flood response. The framework incorporates priority-driven triage, route accessibility and travel costs, resource allocation, and supply management, while also supporting mid-execution re-planning in response to unexpected environmental changes. The framework is formulated both in the Action Notation Modeling Language (ANML) and the Planning Domain Definition Language (PDDL) 2.1, facilitating compatibility with a wider range of temporal planners. Experimental results establish the feasibility and scalability of the proposed framework, showing that flood response scenarios can be effectively modeled and solved using temporal planning, while providing guidance on planner selection.
