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• W3138059890 abstract "GPS sensors embedded in almost all mobile devices and vehicles generate a large amount of data that can be used in both practical applications and transportation research. Despite the high accuracy of location measurements in 3–5 m on average, this data can not be used for practical use without preprocessing. The preprocessing step that is needed to identify the correct path as a sequence of road segments by a series of location measurements and road network data is called map matching. In this paper, we consider the offline map matching problem in which the whole trajectory is processed after it has been collected. We propose a map matching algorithm based on a dynamic programming approach. To enhance the quality of the map matching algorithm, we propose a modification of the algorithm aimed at enhancing the accuracy of the map matching procedure. The modification of the algorithms consists in dividing the GPS trajectory into sections and step-by-step running the base map matching algorithm for each section. The experimental studies were conducted on the dataset collected in Samara, Russia, and the publicly available large-scale dataset for testing, benchmarking, and offline learning of map matching algorithms. Experiments showed that the proposed algorithm outperforms other comparable algorithms in terms of accuracy." @default.
• W3138059890 created "2021-03-29" @default.
• W3138059890 creator A5022469144 @default.
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• W3138059890 date "2021-01-01" @default.
• W3138059890 modified "2023-09-24" @default.
• W3138059890 title "An Improved Map Matching Algorithm Based on Dynamic Programming Approach" @default.
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• W3138059890 doi "https://doi.org/10.1007/978-3-030-71846-6_5" @default.
• W3138059890 hasPublicationYear "2021" @default.
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