GPS for high resolution positioning

With the modernization of society, more high-rise buildings are built and the number of applications and services that the Global Positioning System (GPS) can provide is increasing rapidly. The accuracy of GPS coordinates in an urban canyon environment is reduced due to the GPS signals reflecting off high-rise buildings. GPS coordinates of a device could end up in another location away from the user. Hence, it is critical to improve the accuracy of the GPS when it is being used in an urban environment. In this case, the intention is to improve the accuracy of the positioning of a parked vehicle in an urban environment. To achieve this, a Shortest Distance Map Matching algorithm is developed to identify the movement status of the vehicle and also improve the accuracy of the GPS coordinates to better predict the parking location of the vehicle in an urban environment. This algorithm has achieved an improvement in algorithm run-time speed and improved accuracy of 40% to 60% to correctly determine the parking lot of the vehicle as compared to the Fast-HMM and Google Roads API.Bachelor of Engineering (Electrical and Electronic Engineering