This study examines real-time map matching approaches designed to enhance the precision of location tracking systems. By processing GPS signals and comparing them with digital road network information, these methods correct positioning errors and produce more reliable navigation output. The research highlights algorithmic strategies that improve accuracy under challenging conditions such as urban canyons or weak signals. These advancements support modern applications in navigation, fleet monitoring, smart mobility, and location-based services.
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Data Intensive Computing Applications for Big Data (Scopus)
https://ebooks.iospress.nl/volumearticle/48541