Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm
<p dir="ltr">In this paper, the application of transportation systems in real-time traffic conditions is evaluated with data handling representations. The proposed method is designed in such a way as to detect the number of loads that are present in a vehicle where functionality task...
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2023
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| _version_ | 1864513534138777600 |
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| author | Ayman Khallel Al-Ani (17541447) |
| author2 | Shams Ul Arfeen Laghari (17541450) Hariprasath Manoharan (14157966) Shitharth Selvarajan (14157976) Mueen Uddin (4903510) |
| author2_role | author author author author |
| author_facet | Ayman Khallel Al-Ani (17541447) Shams Ul Arfeen Laghari (17541450) Hariprasath Manoharan (14157966) Shitharth Selvarajan (14157976) Mueen Uddin (4903510) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ayman Khallel Al-Ani (17541447) Shams Ul Arfeen Laghari (17541450) Hariprasath Manoharan (14157966) Shitharth Selvarajan (14157976) Mueen Uddin (4903510) |
| dc.date.none.fl_str_mv | 2023-08-30T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.32604/cmc.2023.038534 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Improved_Transportation_Model_with_Internet_of_Things_Using_Artificial_Intelligence_Algorithm/30256726 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Control engineering, mechatronics and robotics Information and computing sciences Artificial intelligence Distributed computing and systems software Transportation Artificial Intelligence (AI) Data-driven Internet of Things (IoT) |
| dc.title.none.fl_str_mv | Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">In this paper, the application of transportation systems in real-time traffic conditions is evaluated with data handling representations. The proposed method is designed in such a way as to detect the number of loads that are present in a vehicle where functionality tasks are computed in the system. Compared to the existing approach, the design model in the proposed method is made by dividing the computing areas into several cluster regions, thereby reducing the complex monitoring system where control errors are minimized. Furthermore, a route management technique is combined with Artificial Intelligence (AI) algorithm to transmit the data to appropriate central servers. Therefore, the combined objective case studies are examined as minimization and maximization criteria, thus increasing the efficiency of the proposed method. Finally, four scenarios are chosen to investigate the projected design’s effectiveness. In all simulated metrics, the proposed approach provides better operational outcomes for an average percentage of 97, thereby reducing the amount of traffic in real-time conditions.</p><h2>Other Information</h2><p dir="ltr">Published in: Computers, Materials & Continua<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" rel="noreferrer" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.32604/cmc.2023.038534" target="_blank">https://dx.doi.org/10.32604/cmc.2023.038534</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_58161794ca450e117bba7c8043db67c6 |
| identifier_str_mv | 10.32604/cmc.2023.038534 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30256726 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Improved Transportation Model with Internet of Things Using Artificial Intelligence AlgorithmAyman Khallel Al-Ani (17541447)Shams Ul Arfeen Laghari (17541450)Hariprasath Manoharan (14157966)Shitharth Selvarajan (14157976)Mueen Uddin (4903510)Commerce, management, tourism and servicesTransportation, logistics and supply chainsEngineeringControl engineering, mechatronics and roboticsInformation and computing sciencesArtificial intelligenceDistributed computing and systems softwareTransportationArtificial Intelligence (AI)Data-drivenInternet of Things (IoT)<p dir="ltr">In this paper, the application of transportation systems in real-time traffic conditions is evaluated with data handling representations. The proposed method is designed in such a way as to detect the number of loads that are present in a vehicle where functionality tasks are computed in the system. Compared to the existing approach, the design model in the proposed method is made by dividing the computing areas into several cluster regions, thereby reducing the complex monitoring system where control errors are minimized. Furthermore, a route management technique is combined with Artificial Intelligence (AI) algorithm to transmit the data to appropriate central servers. Therefore, the combined objective case studies are examined as minimization and maximization criteria, thus increasing the efficiency of the proposed method. Finally, four scenarios are chosen to investigate the projected design’s effectiveness. In all simulated metrics, the proposed approach provides better operational outcomes for an average percentage of 97, thereby reducing the amount of traffic in real-time conditions.</p><h2>Other Information</h2><p dir="ltr">Published in: Computers, Materials & Continua<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" rel="noreferrer" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.32604/cmc.2023.038534" target="_blank">https://dx.doi.org/10.32604/cmc.2023.038534</a></p>2023-08-30T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.32604/cmc.2023.038534https://figshare.com/articles/journal_contribution/Improved_Transportation_Model_with_Internet_of_Things_Using_Artificial_Intelligence_Algorithm/30256726CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/302567262023-08-30T03:00:00Z |
| spellingShingle | Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm Ayman Khallel Al-Ani (17541447) Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Control engineering, mechatronics and robotics Information and computing sciences Artificial intelligence Distributed computing and systems software Transportation Artificial Intelligence (AI) Data-driven Internet of Things (IoT) |
| status_str | publishedVersion |
| title | Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm |
| title_full | Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm |
| title_fullStr | Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm |
| title_full_unstemmed | Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm |
| title_short | Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm |
| title_sort | Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm |
| topic | Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Control engineering, mechatronics and robotics Information and computing sciences Artificial intelligence Distributed computing and systems software Transportation Artificial Intelligence (AI) Data-driven Internet of Things (IoT) |