Smartphone Position Tracking Using GNSS

The objective of this paper is to estimate smartphones’ location which support services that demand lane-level precision like high-occupancy vehicle (HOV), lane Estimated Time Arrival (ETA) estimation. We focus on developing a model based raw measurements collected in an open sky and light urban roads using datasets by hosts from Android smartphones. application mobile devices for most software products built such as cadastral surveying, mapping surveying applications, navigation has been increasing due the cost-effectiveness GNSS This aims bridge link between geospatial information detailed human behavior smartphone internet with improved granularity. It fixes issue GNSS/INS integrated system’s degrading data accu- racy during signal outage. aim improve currently used integration algorithm AI approach. position loss can be predicted utilizing methodology land update architecture (PUA) employing LightGBM regression. models connection INS changes LightGBM.