Directional Grid-Based Search for Simulation Metamodeling Using Active Learning

Francisco Antunes, Francisco Camara Pereira, Bernardete Ribeiro

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Within dense urban environments, real-world transportation systems are often associated with extraordinary modeling complexity. Where standard analytic methods tend to fail, simulation tools emerge as reliable approaches to study such systems. Despite their versatility, simulation models can prove to be computational burdens, exhibiting prohibitive simulation runtimes. To address this shortcoming, metamodels are used to aid in the simulation modeling process. In this paper, we propose a directional training scheme, combining both active learning and simulation metamodeling, to address the challenge of exploring the input space, within the context of computationally expensive simulation models. Using a Gaussian Process (GP) as a simulation metamodel, we guide the exploration process towards the identification of specific regions of the input space that trigger a particular simulation output search value of interest defined a priori by the user, saving a significant amount of simulation time in the process. The results obtained from applying our methodology to an Emergency Medical Service (EMS) simulator, show that it is capable of identifying such important input regions while minimizing the number of simulation runs at the same time, thus making the simulation input space exploration process more efficient.
Original languageEnglish
Title of host publicationLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Volume310
PublisherSpringer
Publication date2020
Pages32-46
ISBN (Print)978-3-030-38821-8
ISBN (Electronic)978-3-030-38822-5
DOIs
Publication statusPublished - 2020
Event3rd EAI International Conference on Intelligent Transport Systems (INTSYS 2019) - Braga, Portugal
Duration: 4 Dec 20196 Dec 2019

Conference

Conference3rd EAI International Conference on Intelligent Transport Systems (INTSYS 2019)
CountryPortugal
CityBraga
Period04/12/201906/12/2019
SeriesLecture Notes of the Institute for Computer Sciences, Social-informatics and Telecommunications Engineering, Lnicst
ISSN1867-822x

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