From pedestrian simulation to security screening checkpoint planning: Simulation-enhanced optimization method

IF 3.5 2区计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Simulation Modelling Practice and Theory Pub Date : 2025-09-02 DOI:10.1016/j.simpat.2025.103202

Xiaoting Yuan , Tieqiao Tang , Tao Wang , Nikolai Bode

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引用次数: 0

Abstract

Modeling pedestrian flow through security checkpoints is critical for efficient airport operations. In this study, we develop a discrete event simulation model to describe queue dynamics at security screening checkpoints. Focusing on queue lengths, waiting times, and passenger arrival rates, we investigate how dynamically changing the number of open checkpoints affects system performance. Building on these insights, we formulate a mixed-integer linear programming model that incorporates system performance states derived from simulations to optimize checkpoint planning over time. Finally, we validate our approach through simulations based on arrival data from Guangzhou Baiyun International Airport, China. Compared with a stand-alone mixed-integer linear programming formulation, the simulation-enhanced method achieves fewer total and peak lanes while meeting the same service-level targets. By providing an accurate representation of pedestrian flows, this research offers airports a practical decision tool for dynamic resource allocation and improved checkpoint performance.

查看原文本刊更多论文

从行人模拟到安检检查站规划：仿真增强优化方法

模拟通过安检点的人流对机场的高效运营至关重要。在这项研究中，我们开发了一个离散事件模拟模型来描述安全检查检查点的队列动态。我们关注队列长度、等待时间和乘客到达率，研究动态改变开放检查点的数量如何影响系统性能。在这些见解的基础上，我们制定了一个混合整数线性规划模型，该模型结合了从模拟中获得的系统性能状态，以优化检查点规划。最后，我们通过广州白云国际机场的到达数据进行了仿真验证。与独立的混合整数线性规划公式相比，仿真增强方法在满足相同服务水平目标的情况下实现了更少的总车道和峰值车道。通过提供行人流量的准确表示，本研究为机场动态资源分配和改善检查站性能提供了实用的决策工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Simulation Modelling Practice and Theory 工程技术-计算机：跨学科应用

CiteScore

9.80

自引率

4.80%

发文量

142

审稿时长

21 days

期刊介绍： The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling. The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas. Paper submission is solicited on: • theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.; • methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.; • simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.; • distributed and real-time simulation, simulation interoperability; • tools for high performance computing simulation, including dedicated architectures and parallel computing.