Title: A Sequential Decision-Making Model for Perimeter Identification Show Chinese title

Title: 一种用于边界识别的序贯决策模型

Abstract: Perimeter identification involves ascertaining the boundaries of a designated area or zone, requiring traffic flow monitoring, control, or optimization. Various methodologies and technologies exist for accurately defining these perimeters; however, they often necessitate specialized equipment, precise mapping, or comprehensive data for effective problem delineation. In this study, we propose a sequential decision-making framework for perimeter search, designed to operate efficiently in real-time and require only publicly accessible information. We conceptualize the perimeter search as a game between a playing agent and an artificial environment, where the agent's objective is to identify the optimal perimeter by sequentially improving the current perimeter. We detail the model for the game and discuss its adaptability in determining the definition of an optimal perimeter. Ultimately, we showcase the model's efficacy through a real-world scenario, highlighting the identification of corresponding optimal perimeters. Show Chinese abstract

Abstract: 边界识别涉及确定指定区域或区界的边界，需要对交通流量进行监控、控制或优化。 存在多种方法和技术可以准确界定这些边界；然而，它们通常需要专门的设备、精确的地图绘制或全面的数据来有效解决问题。 在本研究中，我们提出了一种用于边界搜索的顺序决策框架，旨在实时高效运行，并仅需公开可获取的信息。 我们将边界搜索概念化为一个玩家代理与人工环境之间的博弈，其中代理的目标是通过逐步改进当前边界来识别最优边界。 我们详细描述了游戏模型，并讨论了其在确定最优边界定义方面的适应性。 最终，我们通过一个现实世界的情景展示了该模型的有效性，重点突出了对应最优边界的识别。