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Relationships of Compression Ratio and Error in Trajectory Simplification Algorithms

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Technologies and Innovation (CITI 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1460))

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Abstract

GPS trajectory simplification algorithms are of great importance for GPS data analysis and processing. The correct selection of these algorithms in accordance with the type of trajectory to be analyzed facilitates the reduction of storage and processing space in data analysis. This paper analyzes the correlation between the compression ratio of GPS trajectory simplification algorithms and their margin of error. These metrics measure the effectiveness of simplification algorithms in general and this work focuses specifically on batch simplification. For this purpose, coordinates in GPS trajectories of different sets of data are used and the algorithms are executed on them, taking into account that the analysis performed for the simplification process takes into account the beginning and the end of each trajectory. Finally, the data obtained from the experiments are presented in tables and figures. The experiments show that TD-TR has better performance than Douglas-Peucker algorithm due to the selected variables.

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Notes

  1. 1.

    https://github.com/gary-reyes-zambrano/Guayaquil-DataSet.git.

  2. 2.

    https://www.microsoft.com/en-us/research/publication/tdrive-trajectory-data-sample.

  3. 3.

    https://archive.ics.uci.edu/ml/machine-learning-databases/00354/.

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Author information

Authors and Affiliations

  1. Facultad de Ciencias Matemáticas y Físicas, Universidad de Guayaquil, Cdla. Universitaria Salvador Allende, Guayaquil, 090514, Ecuador

    Gary Reyes & Víctor Maquilón

  2. Universidad de las Ciencias Informáticas, Carretera a San Antonio de los Baños km 2 1/2, La Habana, Cuba

    Vivian Estrada

Authors
  1. Gary Reyes
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  2. Víctor Maquilón
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  3. Vivian Estrada
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Corresponding author

Correspondence to Gary Reyes .

Editor information

Editors and Affiliations

  1. Universidad de Murcia, Espinardo, Spain

    Rafael Valencia-García

  2. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Martha Bucaram-Leverone

  3. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Javier Del Cioppo-Morstadt

  4. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Néstor Vera-Lucio

  5. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Emma Jácome-Murillo

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Reyes, G., Maquilón, V., Estrada, V. (2021). Relationships of Compression Ratio and Error in Trajectory Simplification Algorithms. In: Valencia-García, R., Bucaram-Leverone, M., Del Cioppo-Morstadt, J., Vera-Lucio, N., Jácome-Murillo, E. (eds) Technologies and Innovation. CITI 2021. Communications in Computer and Information Science, vol 1460. Springer, Cham. https://doi.org/10.1007/978-3-030-88262-4_10

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  • DOI: https://doi.org/10.1007/978-3-030-88262-4_10

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