Abstract: In this paper, a Machine Learning-enabled intelligent navigation system is presented. It will recommend routes in a road network by minimizing source to destination distance by choosing right shortest path between source to destination , it also take care and avoids categorically marked COVID-19 hotspots. The Q-Learning based system takes the source and destination as inputs from the users and recommends a safe and shorter path for traveling. It reduces the risk of getting exposed to the contaminated zones and contracting the virus by bypassing the red covid19 hotspot zones.

Keywords: Reinforcement Learning, IoT, Intelligent Navigation System, Route Planning, Q-Learning, Covid19 Hotspot

PDF | DOI: 10.17148/IJARCCE.2021.10810

Open chat
Chat with IJARCCE