Wednesday 24th of April 2024
 

Accurate Intelligent Map Matching Algorithms for Vehicle Positioning System


M. Pashaian, M. R. Mosavi and M. Pashaian

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.

Keywords: GPS, Map Matching, Fuzzy Logic, Neural Network

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ABOUT THE AUTHORS

M. Pashaian
Department of Electrical Engineering, Iran University of Science and Technology

M. R. Mosavi
Mohammad-Reza Mosavi (Corresponding Author) received his B.S., M.S. and Ph.D. degrees in Electronic Engineering from Iran University of Science and Technology (IUST), Tehran, Iran in 1997, 1998 and 2004, respectively. He is currently faculty member of Department of Electrical Engineering of IUST as associate professor. He is the author of about 150 scientific publications on journals and international conferences. His research interests include circuits and systems design.

M. Pashaian
Department of Civil Engineering, Islamic Azad University, Science and Research Branch


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