Analyzing transportation mode interactions using agent-based models
Abstract Traffic in urban areas contributes significantly to congestion and air pollution, which contributes to climate change issues and causes economic losses and fuel wastage. Agent-based models have significant advantages for analyzing urban transportation and its sustainability. The main object...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2023-11-01
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| Series: | SN Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-023-05609-z |
| _version_ | 1827633437579673600 |
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| author | Nimashi Uthpala Nanduni Hansika Sachini Dissanayaka Kumushini Tennakoon Samal Dharmarathne Rajith Vidanarachchi Janaka Alawatugoda Damayanthi Herath |
| author_facet | Nimashi Uthpala Nanduni Hansika Sachini Dissanayaka Kumushini Tennakoon Samal Dharmarathne Rajith Vidanarachchi Janaka Alawatugoda Damayanthi Herath |
| author_sort | Nimashi Uthpala |
| collection | DOAJ |
| description | Abstract Traffic in urban areas contributes significantly to congestion and air pollution, which contributes to climate change issues and causes economic losses and fuel wastage. Agent-based models have significant advantages for analyzing urban transportation and its sustainability. The main objective of this paper is to provide a critical review of research on agent-based models for traffic simulation in urban areas. This article reviews the literature on the subject and examines earlier case studies that dealt with agent-based models for micro-mobility and traffic simulation considering six criteria. The study analyzes multiple publications obtained from databases such as Google Scholar, Scopus, and Web of Science. These publications span from 2014 to 2022 and are scrutinized to fulfill the stated objectives. Furthermore, a thorough critical evaluation is performed on a chosen set of 16 publications. The research also proposes traffic simulation tools based on insights gathered from case studies. Further, it discusses how to choose a decent data set through a balanced and objective summary of study findings on the topic and recommends future work in this topic. |
| first_indexed | 2024-03-09T15:00:07Z |
| format | Article |
| id | doaj.art-90ed99f2a0a240d7ba308a4b05d48a6e |
| institution | Directory Open Access Journal |
| issn | 2523-3963 2523-3971 |
| language | English |
| last_indexed | 2024-03-09T15:00:07Z |
| publishDate | 2023-11-01 |
| publisher | Springer |
| record_format | Article |
| series | SN Applied Sciences |
| spelling | doaj.art-90ed99f2a0a240d7ba308a4b05d48a6e2023-11-26T13:59:00ZengSpringerSN Applied Sciences2523-39632523-39712023-11-0151211610.1007/s42452-023-05609-zAnalyzing transportation mode interactions using agent-based modelsNimashi Uthpala0Nanduni Hansika1Sachini Dissanayaka2Kumushini Tennakoon3Samal Dharmarathne4Rajith Vidanarachchi5Janaka Alawatugoda6Damayanthi Herath7Department of Computer Engineering, Faculty of Engineering, University of PeradeniyaDepartment of Computer Engineering, Faculty of Engineering, University of PeradeniyaDepartment of Computer Engineering, Faculty of Engineering, University of PeradeniyaDepartment of Mathematics, Faculty of Science, University of PeradeniyaDepartment of Civil Engineering, Faculty of Engineering, University of PeradeniyaTransport, Health and Urban Design Research Lab, Melbourne School of Design, University of MelbourneResearch & Innovation Centers Division, Rabdan AcademyDepartment of Computer Engineering, Faculty of Engineering, University of PeradeniyaAbstract Traffic in urban areas contributes significantly to congestion and air pollution, which contributes to climate change issues and causes economic losses and fuel wastage. Agent-based models have significant advantages for analyzing urban transportation and its sustainability. The main objective of this paper is to provide a critical review of research on agent-based models for traffic simulation in urban areas. This article reviews the literature on the subject and examines earlier case studies that dealt with agent-based models for micro-mobility and traffic simulation considering six criteria. The study analyzes multiple publications obtained from databases such as Google Scholar, Scopus, and Web of Science. These publications span from 2014 to 2022 and are scrutinized to fulfill the stated objectives. Furthermore, a thorough critical evaluation is performed on a chosen set of 16 publications. The research also proposes traffic simulation tools based on insights gathered from case studies. Further, it discusses how to choose a decent data set through a balanced and objective summary of study findings on the topic and recommends future work in this topic.https://doi.org/10.1007/s42452-023-05609-zTransportationTraffic managementAgent-based modelsMicro-mobilitySimulation |
| spellingShingle | Nimashi Uthpala Nanduni Hansika Sachini Dissanayaka Kumushini Tennakoon Samal Dharmarathne Rajith Vidanarachchi Janaka Alawatugoda Damayanthi Herath Analyzing transportation mode interactions using agent-based models SN Applied Sciences Transportation Traffic management Agent-based models Micro-mobility Simulation |
| title | Analyzing transportation mode interactions using agent-based models |
| title_full | Analyzing transportation mode interactions using agent-based models |
| title_fullStr | Analyzing transportation mode interactions using agent-based models |
| title_full_unstemmed | Analyzing transportation mode interactions using agent-based models |
| title_short | Analyzing transportation mode interactions using agent-based models |
| title_sort | analyzing transportation mode interactions using agent based models |
| topic | Transportation Traffic management Agent-based models Micro-mobility Simulation |
| url | https://doi.org/10.1007/s42452-023-05609-z |
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