Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/2719
Title: | COVID 19 Navigator Taxi Application for Urban Mobility during Pandemic Period |
Authors: | Wickramarathne, J Perera, D Kanchana, B. C Peiris, R |
Keywords: | COVID 19 Navigator Taxi Application Pandemic Period Urban Mobility during Pandemic |
Issue Date: | 23-Feb-2022 |
Publisher: | IEEE |
Citation: | R. 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. |
Series/Report no.: | 2022 2nd International Conference on Advanced Research in Computing (ICARC); |
Abstract: | This 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. |
URI: | http://rda.sliit.lk/handle/123456789/2719 |
ISSN: | 978-1-6654-0741-0 |
Appears in Collections: | Department of Information Technology Research Papers - IEEE Research Papers - SLIIT Staff Publications Research Publications -Dept of Information Technology |
Files in This Item:
File | Description | Size | Format | |
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COVID_19_Navigator_Taxi_Application_for_Urban_Mobility_during_Pandemic_Period.pdf Until 2050-12-31 | 1.08 MB | Adobe PDF | View/Open Request a copy |
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