This study focuses on improving navigation accuracy through an efficient map matching algorithm that aligns raw GPS data with the correct road segments in real-time. By analyzing road geometry, direction, and vehicle movement patterns, the algorithm reduces positional errors and enhances route precision. Its implementation in cluster computing environments enables faster processing of large-scale location data. The research supports intelligent transportation systems, enabling more reliable navigation, traffic monitoring, and spatial analysis across complex road networks.
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Cluster Computing (SCI)
2018
https://doi.org/10.1007/s10586-018-1910-z