INSTITUTIONAL DIGITAL REPOSITORY

A Crowd-Sourced adaptive safe navigation for smart cities

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dc.contributor.author Goel, N.
dc.contributor.author Sharma, R.
dc.contributor.author Nikhil, N.
dc.contributor.author Mahanoor, S. D.
dc.contributor.author Saini, M.
dc.date.accessioned 2021-10-05T18:33:24Z
dc.date.available 2021-10-05T18:33:24Z
dc.date.issued 2021-10-06
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/2891
dc.description.abstract There has been a lot of work on finding safest path from source to destination. However, all these works mainly rely on the crime data available through government sources. The works are missing many important factor that affect safety of a route. In this work, we first propose safety measurement score and then show how it can be used for safe navigation. We proposed a comprehensive safety measure that adapts with time according to the user feedback and online crowd-sourced information. We have developed a complete end-to-end system to demonstrate efficacy of the proposed framework. en_US
dc.language.iso en_US en_US
dc.subject Safety en_US
dc.subject Navigation en_US
dc.subject IoT en_US
dc.subject Smart city en_US
dc.subject Adaptive en_US
dc.subject Crowd-sourced en_US
dc.title A Crowd-Sourced adaptive safe navigation for smart cities en_US
dc.type Article en_US


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