A Vehicle Social Distancing Management System Based on LiFi during COVID Pandemic: Real-Time Monitoring for Smart Buildings
The coronavirus (COVID-19) has emerged as one of the most serious issues. Researchers and officials are considering the implementation of several social distancing methods to detect potentially contaminated individuals. Nevertheless, limited social distancing methods have been discovered for trackin...
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2025
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| author | Murad S.S. Yussof S. Mundher Oraibi B.-A. Badeel R. Badeel B. Alamoodi A.H. |
| author2 | 57449666500 |
| author_facet | 57449666500 Murad S.S. Yussof S. Mundher Oraibi B.-A. Badeel R. Badeel B. Alamoodi A.H. |
| author_sort | Murad S.S. |
| building | UNITEN Library |
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| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The coronavirus (COVID-19) has emerged as one of the most serious issues. Researchers and officials are considering the implementation of several social distancing methods to detect potentially contaminated individuals. Nevertheless, limited social distancing methods have been discovered for tracking, scheduling, and monitoring vehicles for smart buildings. In these methods, people are tested on a regular basis in testing facilities every few days. This suggests that there may be untested infected individuals exhibiting active symptoms. Furthermore, since pandemics comparable to COVID may exhibit a range of symptoms that fluctuate throughout the day. For this reason, each time a vehicle requests entry into the facility, a real-time test or check must be performed. This study proposes a real-time vehicle social distancing decision system for managing the number of vehicles (RT-VSDD) that adds an additional testing method besides the traditional testing phase (test reports from test centers) which is a real-time vital health check during the building access request phase in order to reduce the risk of unidentified infected individuals. The concept of low-risk area and high-risk area in the building is introduced in this study where the method classifies the vehicles based on the risk levels and sends them to the targeted area. The system proposed in this study is identified as vehicle social distancing (VSD) system and is designed specifically for COVID pandemic. The performance evaluation of the proposed work has been performed using MATLAB simulations. 100 vehicles were assumed in the presented scenario with 5% untested, 20% positive, 75% negative, 30% high temperature, and 70% low temperature. When compared with the benchmark work, 40% of vehicles were classified as high risk and 55% were low risk by the proposed system, and 20% and 75% by the benchmark work. Only 5% of vehicles were denied access using the proposed system and 25% by the benchmark work. The total waiting vehicles rate was 25% and 11% in favour of the proposed work for a total waiting time of 100 minutes. The threshold value for the maximum vehicle allowed was reached 26 times by the proposed work against 13 times only by the benchmark work. 95% of vehicles were allowed access using the proposed technique, while only 75% were able to access the building using the benchmark technique. It is anticipated that the suggested system design will facilitate a reduction in the infection rate within buildings, reduces the negative economic impact, and manage the building access effectively for various industries and government sectors. ? 2013 IEEE. |
| format | Article |
| id | my.uniten.dspace-37013 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
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| spelling | my.uniten.dspace-370132025-03-03T15:46:37Z A Vehicle Social Distancing Management System Based on LiFi during COVID Pandemic: Real-Time Monitoring for Smart Buildings Murad S.S. Yussof S. Mundher Oraibi B.-A. Badeel R. Badeel B. Alamoodi A.H. 57449666500 16023225600 57693844800 57353950500 59338103200 57205435311 Automobile testing Benchmarking Chemical laboratories Coronavirus Economic and social effects Frequency bands Hydraulic laboratories Research laboratories Satellites Window screens Coronaviruses Decision systems Lifi Management systems Pandemic Real time monitoring Real- time Real-time test Testing facility Vehicle social distancing Smart homes The coronavirus (COVID-19) has emerged as one of the most serious issues. Researchers and officials are considering the implementation of several social distancing methods to detect potentially contaminated individuals. Nevertheless, limited social distancing methods have been discovered for tracking, scheduling, and monitoring vehicles for smart buildings. In these methods, people are tested on a regular basis in testing facilities every few days. This suggests that there may be untested infected individuals exhibiting active symptoms. Furthermore, since pandemics comparable to COVID may exhibit a range of symptoms that fluctuate throughout the day. For this reason, each time a vehicle requests entry into the facility, a real-time test or check must be performed. This study proposes a real-time vehicle social distancing decision system for managing the number of vehicles (RT-VSDD) that adds an additional testing method besides the traditional testing phase (test reports from test centers) which is a real-time vital health check during the building access request phase in order to reduce the risk of unidentified infected individuals. The concept of low-risk area and high-risk area in the building is introduced in this study where the method classifies the vehicles based on the risk levels and sends them to the targeted area. The system proposed in this study is identified as vehicle social distancing (VSD) system and is designed specifically for COVID pandemic. The performance evaluation of the proposed work has been performed using MATLAB simulations. 100 vehicles were assumed in the presented scenario with 5% untested, 20% positive, 75% negative, 30% high temperature, and 70% low temperature. When compared with the benchmark work, 40% of vehicles were classified as high risk and 55% were low risk by the proposed system, and 20% and 75% by the benchmark work. Only 5% of vehicles were denied access using the proposed system and 25% by the benchmark work. The total waiting vehicles rate was 25% and 11% in favour of the proposed work for a total waiting time of 100 minutes. The threshold value for the maximum vehicle allowed was reached 26 times by the proposed work against 13 times only by the benchmark work. 95% of vehicles were allowed access using the proposed technique, while only 75% were able to access the building using the benchmark technique. It is anticipated that the suggested system design will facilitate a reduction in the infection rate within buildings, reduces the negative economic impact, and manage the building access effectively for various industries and government sectors. ? 2013 IEEE. Final 2025-03-03T07:46:37Z 2025-03-03T07:46:37Z 2024 Article 10.1109/ACCESS.2024.3461359 2-s2.0-85204611853 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204611853&doi=10.1109%2fACCESS.2024.3461359&partnerID=40&md5=cd0fc409073768be53959bdc1dfb68cc https://irepository.uniten.edu.my/handle/123456789/37013 12 137004 137024 All Open Access; Gold Open Access Institute of Electrical and Electronics Engineers Inc. Scopus |
| spellingShingle | Automobile testing Benchmarking Chemical laboratories Coronavirus Economic and social effects Frequency bands Hydraulic laboratories Research laboratories Satellites Window screens Coronaviruses Decision systems Lifi Management systems Pandemic Real time monitoring Real- time Real-time test Testing facility Vehicle social distancing Smart homes Murad S.S. Yussof S. Mundher Oraibi B.-A. Badeel R. Badeel B. Alamoodi A.H. A Vehicle Social Distancing Management System Based on LiFi during COVID Pandemic: Real-Time Monitoring for Smart Buildings |
| title | A Vehicle Social Distancing Management System Based on LiFi during COVID Pandemic: Real-Time Monitoring for Smart Buildings |
| title_full | A Vehicle Social Distancing Management System Based on LiFi during COVID Pandemic: Real-Time Monitoring for Smart Buildings |
| title_fullStr | A Vehicle Social Distancing Management System Based on LiFi during COVID Pandemic: Real-Time Monitoring for Smart Buildings |
| title_full_unstemmed | A Vehicle Social Distancing Management System Based on LiFi during COVID Pandemic: Real-Time Monitoring for Smart Buildings |
| title_short | A Vehicle Social Distancing Management System Based on LiFi during COVID Pandemic: Real-Time Monitoring for Smart Buildings |
| title_sort | vehicle social distancing management system based on lifi during covid pandemic: real-time monitoring for smart buildings |
| topic | Automobile testing Benchmarking Chemical laboratories Coronavirus Economic and social effects Frequency bands Hydraulic laboratories Research laboratories Satellites Window screens Coronaviruses Decision systems Lifi Management systems Pandemic Real time monitoring Real- time Real-time test Testing facility Vehicle social distancing Smart homes |
| url_provider | http://dspace.uniten.edu.my/ |