A Crowd-Sourced adaptive safe navigation for smart cities

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