Accurate Intelligent Map Matching Algorithms for Vehicle Positioning System

The purpose of a navigation system installed on a car is to help drivers in order to select an optimal path to reach the destination. In most of these systems, Global Positioning System (GPS) are used to determine vehicle position. There are number of error sources that undermine the quality of GPS measurements for car navigation systems. For this reason, technique like Map Matching (MM) is required to identify the road of a car is that moving on, with a high degree of confidence. MM in car navigation systems, has a task of determining the current position of vehicle on the city's map. In this paper, two new MM methods based on Fuzzy Logic (FL) and Neural Network (NN) are proposed to solve the matching problem in car navigation systems. For the experiments, a car navigation system is implemented with a low cost GPS receiver. The proposed fuzzy algorithm is easy to calculate. It requires little computation time without need to extra sensors and can find effectively the mobile exact position which moves on the road.