Fuzzy logic-based approach for location identification and routing in outdoor environment

Finding the precise and accurate location of devices on road networks is challenging in remote areas with poor internet connectivity Global Positioning System coverage. Navigation applications that completely depend reference spatial data for identification mapping do not perform well case frequent disconnection. These sources have many associated challenges like large size, errors data, restricted access. To address these challenges, this paper provides an approach localization routing using self-generated likelihood estimation. According to proposed approach, trajectory information used create format Comma Separated Values (CSV). This first analyzed quality issues then navigation purposes. Further Sugeno Fuzzy Model as a fuzzy inference system initial subsequent location. The validated android application seven predefined routes. performed result analysis, logic-based able provide 98.9 percent accuracy root mean square error value 3 percent.