{"title":"Assessment of University Parking Management System: A Simulation-Based Study","authors":"Shahriar Tanvir Alam, Abu Saleh Md. Nakib Uddin, Fahima Akter Azrin","doi":"10.1134/s2070048224700170","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The university is having difficulty meeting the demand for parking lots to meet the requirements of students. According to data, the number of registered cars at a specific university has been variable over the last 4 years and is mostly growing, whereas the number of parking lots at the university parking area has been stable over these 04 years. Queueing theory has grown in prominence as it provides the numerical foundation for decision-making assessment. Queueing models with multiple servers provide extensive decision-making data, which is critical for evaluating a server’s performance. The purpose of this study is to assess the current situation of a university parking management system by simulating the university parking area in ARENA simulation software. For reducing traffic congestion and confirming the maximum utilization of the university parking lot, this paper formulates multiple server queueing models and assesses their performance. The “Multiple Server Finite Queue Length Infinite Queue Population Model” is most desirable where cars have to wait for less time in the queue (approximately 43.14%) and reduces the queue length by approximately 64.76% in the university parking area. Based on the findings of the queue performance, an ARENA-based simulation has been illustrated to visualize the improved condition of the university parking management system. When the findings from the performance evaluation of the queue model are applied, the simulation results show that the parking area’s capacity is more utilized (from 58.16 to 97.18%) compared to the current situation.</p>","PeriodicalId":38050,"journal":{"name":"Mathematical Models and Computer Simulations","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Models and Computer Simulations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1134/s2070048224700170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0
Abstract
The university is having difficulty meeting the demand for parking lots to meet the requirements of students. According to data, the number of registered cars at a specific university has been variable over the last 4 years and is mostly growing, whereas the number of parking lots at the university parking area has been stable over these 04 years. Queueing theory has grown in prominence as it provides the numerical foundation for decision-making assessment. Queueing models with multiple servers provide extensive decision-making data, which is critical for evaluating a server’s performance. The purpose of this study is to assess the current situation of a university parking management system by simulating the university parking area in ARENA simulation software. For reducing traffic congestion and confirming the maximum utilization of the university parking lot, this paper formulates multiple server queueing models and assesses their performance. The “Multiple Server Finite Queue Length Infinite Queue Population Model” is most desirable where cars have to wait for less time in the queue (approximately 43.14%) and reduces the queue length by approximately 64.76% in the university parking area. Based on the findings of the queue performance, an ARENA-based simulation has been illustrated to visualize the improved condition of the university parking management system. When the findings from the performance evaluation of the queue model are applied, the simulation results show that the parking area’s capacity is more utilized (from 58.16 to 97.18%) compared to the current situation.
期刊介绍：
Mathematical Models and Computer Simulations is a journal that publishes high-quality and original articles at the forefront of development of mathematical models, numerical methods, computer-assisted studies in science and engineering with the potential for impact across the sciences, and construction of massively parallel codes for supercomputers. The problem-oriented papers are devoted to various problems including industrial mathematics, numerical simulation in multiscale and multiphysics, materials science, chemistry, economics, social, and life sciences.
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