A Statistical-Based Map Matching Algorithm

Round the clock, all seasoned, free of cost availability of Global Positioning System(GPS) enables all kinds of navigation. Positioning techniques for navigation developed rapidly by integrating GPS receivers and sensor devices. Also, the positioning accuracy has been increasing with the innovative technologies. With these conditions, a robust, easy-to-implement map matching algorithm is required for the imprecise vehicle trajectory data obtained from GPS receivers. The proposed algorithm presents a map matching technique based on statistical methods to handle outliers and outages present in the vehicle trajectory data. Using the test data, the algorithm is also evaluated. It is shown that the algorithm is capable of handling positioning errors in a conservative manner.