A Developed Tunnel Ventilation System Modeling for an Intelligent Transportation System
This paper presents a Laplace transform model for an urban tunnel ventilation system. This model allows one to witness higher performance for supervisory control and data acquisition (SCADA) in terms of monitoring and control of an urban area tunnel based on measurement systems. This proposed model...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2024/6417493 |
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| _version_ | 1850106554776289280 |
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| author | Jamal Beiza |
| author_facet | Jamal Beiza |
| author_sort | Jamal Beiza |
| collection | DOAJ |
| description | This paper presents a Laplace transform model for an urban tunnel ventilation system. This model allows one to witness higher performance for supervisory control and data acquisition (SCADA) in terms of monitoring and control of an urban area tunnel based on measurement systems. This proposed model illustrates the ventilation control system framework as well as the emergency response system for urban area tunnels such that smoother controllability and higher security in the operation of tunnels can be envisioned. The salient contributions of this work can be stated as a novel method for modeling tunnel ventilation systems and the implementation of an emergency response plan for a futuristic intelligent transportation system. The simulation results exhibit that the proposed model outperforms the ventilation system in the high-density traffic jams and further the efficient operation of the tunnel. Likewise, comparison results and experimental results are addressed to emphasize the validation of this method and to be helpful in proving the reliability of the results obtained in this study. These results show that the ventilation control system reaches the desired CO value either in high-traffic volume conditions or in normal traffic conditions. |
| format | Article |
| id | doaj-art-2e36a433dc7042c184d052fe2afaa2fe |
| institution | OA Journals |
| issn | 2042-3195 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-2e36a433dc7042c184d052fe2afaa2fe2025-08-20T02:38:48ZengWileyJournal of Advanced Transportation2042-31952024-01-01202410.1155/2024/6417493A Developed Tunnel Ventilation System Modeling for an Intelligent Transportation SystemJamal Beiza0Department of Electrical EngineeringThis paper presents a Laplace transform model for an urban tunnel ventilation system. This model allows one to witness higher performance for supervisory control and data acquisition (SCADA) in terms of monitoring and control of an urban area tunnel based on measurement systems. This proposed model illustrates the ventilation control system framework as well as the emergency response system for urban area tunnels such that smoother controllability and higher security in the operation of tunnels can be envisioned. The salient contributions of this work can be stated as a novel method for modeling tunnel ventilation systems and the implementation of an emergency response plan for a futuristic intelligent transportation system. The simulation results exhibit that the proposed model outperforms the ventilation system in the high-density traffic jams and further the efficient operation of the tunnel. Likewise, comparison results and experimental results are addressed to emphasize the validation of this method and to be helpful in proving the reliability of the results obtained in this study. These results show that the ventilation control system reaches the desired CO value either in high-traffic volume conditions or in normal traffic conditions.http://dx.doi.org/10.1155/2024/6417493 |
| spellingShingle | Jamal Beiza A Developed Tunnel Ventilation System Modeling for an Intelligent Transportation System Journal of Advanced Transportation |
| title | A Developed Tunnel Ventilation System Modeling for an Intelligent Transportation System |
| title_full | A Developed Tunnel Ventilation System Modeling for an Intelligent Transportation System |
| title_fullStr | A Developed Tunnel Ventilation System Modeling for an Intelligent Transportation System |
| title_full_unstemmed | A Developed Tunnel Ventilation System Modeling for an Intelligent Transportation System |
| title_short | A Developed Tunnel Ventilation System Modeling for an Intelligent Transportation System |
| title_sort | developed tunnel ventilation system modeling for an intelligent transportation system |
| url | http://dx.doi.org/10.1155/2024/6417493 |
| work_keys_str_mv | AT jamalbeiza adevelopedtunnelventilationsystemmodelingforanintelligenttransportationsystem AT jamalbeiza developedtunnelventilationsystemmodelingforanintelligenttransportationsystem |