Nicolás Cabrera , Jorge A. Huertas , Andrés L. Medaglia
{"title":"Pedestrian evacuation planning: Unveiling evacuation routes via column generation","authors":"Nicolás Cabrera , Jorge A. Huertas , Andrés L. Medaglia","doi":"10.1016/j.ejtl.2022.100089","DOIUrl":null,"url":null,"abstract":"<div><p>Evacuation drills are critical to evaluate emergency preparedness and infrastructure capacity. Before conducting drills, it is necessary to design the evacuation routes that people are likely to follow in a real evacuation. In this paper, we present a path-oriented optimization model for evacuation planning. To solve this model, we propose a column-oriented approach in which a master problem assigns people to evacuation paths, while an auxiliary problem generates feasible evacuation paths. To recreate possible evacuation drills, we embed the column generation method in an optimization-based simulation procedure that mimics the evacuation dynamics and unveils critical evacuation routes that are likely to become congested. To illustrate the applicability of our method, we recreated a real evacuation drill conducted in a university campus. Our results support evacuation planners that often make infrastructure decisions with the goal of enhancing evacuation dynamics with the commendable goal of saving lives.</p></div>","PeriodicalId":45871,"journal":{"name":"EURO Journal on Transportation and Logistics","volume":"11 ","pages":"Article 100089"},"PeriodicalIF":2.1000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2192437622000140/pdfft?md5=0c0b68dd3b83b953177defb0deb80716&pid=1-s2.0-S2192437622000140-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EURO Journal on Transportation and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2192437622000140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Evacuation drills are critical to evaluate emergency preparedness and infrastructure capacity. Before conducting drills, it is necessary to design the evacuation routes that people are likely to follow in a real evacuation. In this paper, we present a path-oriented optimization model for evacuation planning. To solve this model, we propose a column-oriented approach in which a master problem assigns people to evacuation paths, while an auxiliary problem generates feasible evacuation paths. To recreate possible evacuation drills, we embed the column generation method in an optimization-based simulation procedure that mimics the evacuation dynamics and unveils critical evacuation routes that are likely to become congested. To illustrate the applicability of our method, we recreated a real evacuation drill conducted in a university campus. Our results support evacuation planners that often make infrastructure decisions with the goal of enhancing evacuation dynamics with the commendable goal of saving lives.
期刊介绍:
The EURO Journal on Transportation and Logistics promotes the use of mathematics in general, and operations research in particular, in the context of transportation and logistics. It is a forum for the presentation of original mathematical models, methodologies and computational results, focussing on advanced applications in transportation and logistics. The journal publishes two types of document: (i) research articles and (ii) tutorials. A research article presents original methodological contributions to the field (e.g. new mathematical models, new algorithms, new simulation techniques). A tutorial provides an introduction to an advanced topic, designed to ease the use of the relevant methodology by researchers and practitioners.