Control Optimization of Scenic Spot Navigation System Based on Map Matching Algorithm

In order to solve the problem that the smart phone GPS positioning technology cannot guarantee the location accuracy in the scenic spot navigation system, a tourist spot matching method based on the improved HMM model was proposed. Firstly, the traditional linear road model is improved in electronic...

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Published inWireless communications and mobile computing Vol. 2022; no. 1
Main Author Cui, Wenjing
Format Journal Article
LanguageEnglish
Published Oxford Hindawi 2022
John Wiley & Sons, Inc
Subjects
Online AccessGet full text
ISSN1530-8669
1530-8677
1530-8677
DOI10.1155/2022/5958782

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Abstract In order to solve the problem that the smart phone GPS positioning technology cannot guarantee the location accuracy in the scenic spot navigation system, a tourist spot matching method based on the improved HMM model was proposed. Firstly, the traditional linear road model is improved in electronic map design. Secondly, the concept of minimum peripheral error rectangle is proposed based on the theory of error ellipse. Then, combined with location data, road data, and scenic spot data, the improved HMM model is used to calculate the matching road. Finally, Matlab simulation experiment and comparison experiment are carried out. The results show that the accuracy of the map matching algorithm based on the improved HMM model can reach 94.5%, and the average accuracy can reach 93.1%, which is 3.6% higher than that of the traditional HMM model. The test results show that the proposed algorithm is correct and practical and has a good application prospect.
AbstractList In order to solve the problem that the smart phone GPS positioning technology cannot guarantee the location accuracy in the scenic spot navigation system, a tourist spot matching method based on the improved HMM model was proposed. Firstly, the traditional linear road model is improved in electronic map design. Secondly, the concept of minimum peripheral error rectangle is proposed based on the theory of error ellipse. Then, combined with location data, road data, and scenic spot data, the improved HMM model is used to calculate the matching road. Finally, Matlab simulation experiment and comparison experiment are carried out. The results show that the accuracy of the map matching algorithm based on the improved HMM model can reach 94.5%, and the average accuracy can reach 93.1%, which is 3.6% higher than that of the traditional HMM model. The test results show that the proposed algorithm is correct and practical and has a good application prospect.
Author Cui, Wenjing
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Copyright Copyright © 2022 Wenjing Cui.
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SubjectTerms Accuracy
Algorithms
Artificial satellites
Cellular telephones
Electronic maps
Global positioning systems
GPS
Internet
Matching
Mathematical models
Methods
Navigation systems
Optimization
Remote sensing
Roads & highways
Smartphones
Tourism
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Title Control Optimization of Scenic Spot Navigation System Based on Map Matching Algorithm
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