A bi-level emergency evacuation traffic optimization model for urban evacuation problem

IF 8.5 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2024-06-06 DOI:10.1111/mice.13284

Yanyue Liu, Zhao Zhang, Lei Mo, Bin Yu, Zhenhua Li

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引用次数: 0

Abstract

This paper introduces a pioneering bi-level emergency evacuation traffic optimization model (BEETOM), crafted to expedite the evacuation process within urban road networks. The innovative upper-level model offers simultaneous optimization of evacuation departure times and routes, while the lower-level model focuses on refining traffic signal timing to mitigate delays and queue formation across intersections. To enhance the model's computational efficiency, a distributed solving algorithm is introduced, marking a significant stride in optimization technology. Implemented in two evacuation case studies, the BEETOM model showcases its profound impact by reducing total evacuation time by 6% to 20%. More impressively, it achieves a substantial decrease in both the average travel time and delays experienced by evacuees during evacuation, ranging from 7% to an astonishing 60%. This remarkable efficacy underscores the model's capability to devise highly effective evacuation strategies, particularly valuable for managing large-scale emergencies or terrorist incidents in urban settings. The BEETOM model stands as a significant contribution to urban emergency management, offering a strategic tool to significantly enhance evacuation efficiency and safety.

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针对城市疏散问题的双级紧急疏散交通优化模型

本文介绍了一种开创性的双层紧急疏散交通优化模型（BEETOM），旨在加快城市路网中的疏散过程。创新的上层模型可同时优化疏散出发时间和路线，而下层模型则专注于改进交通信号配时，以减少各交叉口的延误和队列形成。为提高模型的计算效率，引入了分布式求解算法，标志着优化技术的重大进步。在两个疏散案例研究中，BEETOM 模型减少了 6% 到 20% 的总疏散时间，展示了其深远影响。更令人印象深刻的是，该模型大幅减少了疏散过程中疏散人员的平均旅行时间和延误时间，从 7% 到惊人的 60%。这一显著效果凸显了该模型设计高效疏散策略的能力，对于管理城市环境中的大规模紧急事件或恐怖事件尤为重要。BEETOM 模型为城市应急管理做出了重要贡献，提供了一种战略工具，可显著提高疏散效率和安全性。

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

Computer-Aided Civil and Infrastructure Engineering 工程技术-工程：土木

CiteScore

17.60

自引率

19.80%

发文量

146

审稿时长

1 months

期刊介绍： Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.