Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2719
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dc.contributor.authorWickramarathne, J-
dc.contributor.authorPerera, D-
dc.contributor.authorKanchana, B. C-
dc.contributor.authorPeiris, R-
dc.date.accessioned2022-06-28T04:56:15Z-
dc.date.available2022-06-28T04:56:15Z-
dc.date.issued2022-02-23-
dc.identifier.citationR. Peiris, B. Kanchana, D. Perera and J. Wickramarathne, "COVID 19 Navigator Taxi Application for Urban Mobility during Pandemic Period," 2022 2nd International Conference on Advanced Research in Computing (ICARC), 2022, pp. 284-289, doi: 10.1109/ICARC54489.2022.9754000.en_US
dc.identifier.issn978-1-6654-0741-0-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2719-
dc.description.abstractThis research paper focuses on increasing the awareness between taxi users and can help to protect themselves in COVID-19 and take precautions. Since 2019 the global pandemic of Covid-19 is spreading at an astonishing rate and causes a negative impact for economic, social, and cultural factors. Government agencies are warning people to reduce the transportation and to maintain social distance. To stop the spread of COVID-19 required to identify persons who are susceptible to infection and need to trace the COVID-19 positive first contacts. Most people are reduced to using public transportations and taxi services due to unidentifiable health conditions in earlier users. The proposed approach can be used to track the taxi drivers and their passengers previous COVID-19 status as well as navigate the safest route by showing the COVID-19 contamination areas. By using this approach users can be aware of earlier users of the taxi service and COVID-19 status of the taxi driver or passenger before taking the trip as well as if they get touch with any COVID-19 patients, can take immediate precautions. This application helps to increase the usage of taxis by making users trust and confidence against COVID-19 infection. By testing with real users our system was able to trace down 45 passengers and 16 drivers within 3 months.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2022 2nd International Conference on Advanced Research in Computing (ICARC);-
dc.subjectCOVID 19en_US
dc.subjectNavigatoren_US
dc.subjectTaxi Applicationen_US
dc.subjectPandemic Perioden_US
dc.subjectUrban Mobilityen_US
dc.subjectduring Pandemicen_US
dc.titleCOVID 19 Navigator Taxi Application for Urban Mobility during Pandemic Perioden_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICARC54489.2022.9754000en_US
Appears in Collections:Department of Information Technology
Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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