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A Real-Time Precise Fuzzy Algorithm for Map Matching via GPS IV. Experimental Results Measurements reading were actually observed in a graphics format displayed on the computer monitor. Fig.5 show a sample map matching using the proposed algorithm.  Fig.5. A sample map matching using the proposed algorithm Performance of the proposed algorithm map matching was evaluated by data sets that were collected on the building of Computer Control and Fuzzy Logic Research Lab in the Iran University of Science and Technology. Many experiments were performed on urban streets, which have different features such as small roads, wide roads, and etc. The developed navigation system discussed in section III was used. No additional sensors were used. The mapped position of the car was sent to 80586 notebook computer, where the map matching was performed. Fig.6, Fig.7, and Fig.8 show the desired, measured, and mapped routes, respectively.  Fig.6. The desired route for the mobile unit  Fig.7. The Measured route for the mobile unit  Fig.8. The Mapped route for the mobile unit V. Conclusions In this paper, a new map matching algorithm and its rules have been proposed. For experiments, a car navigation system was developed with a small number of sensors, such as a low cost GPS receiver and a microcontroller chip. The effectiveness of the proposed map matching algorithm was verified with several experiments. In the experiments, mapped car position was precise, so that real-time positioning error reduces from 25m to less than 1.5m. Moreover, the proposed algorithm needs little computation time. This feature makes it suitable for using in a car navigation system with a low power microcontroller. References:
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