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A method for compressing AIS trajectory based on the adaptive core threshold difference Douglas-Peucker algorithm.

Ting Zhang1,2, Zhiming Wang1, Peiliang Wang3,4

  • 1Merchant Marine College, Shanghai Maritime University, Shanghai, 201306, China.

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|September 13, 2024
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Summary
This summary is machine-generated.

A new adaptive algorithm, ACTD-DP, improves trajectory compression by dynamically adjusting thresholds. This method achieves a high compression ratio while preserving trajectory shape integrity, outperforming traditional methods.

Keywords:
ACTD-DP algorithmAISShip trajectoryTrajectory compression

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Area of Science:

  • Marine Technology
  • Data Science
  • Computer Science

Background:

  • Traditional trajectory compression algorithms like Douglas-Peucker (DP) use static thresholds, limiting adaptability.
  • Automatic Identification System (AIS) data generates large volumes of trajectory information.

Purpose of the Study:

  • To propose an adaptive core threshold difference-DP (ACTD-DP) algorithm for enhanced trajectory compression.
  • To improve upon the limitations of static thresholding in existing algorithms.

Main Methods:

  • Preprocessing AIS data using course values to discard redundant points.
  • Quantifying compressed points versus thresholds and establishing a function relationship via curve fitting.
  • Analyzing function curve characteristics to solve for core threshold and core threshold difference.
  • Introducing a compression factor to determine the optimal core threshold difference.

Main Results:

  • The ACTD-DP algorithm achieved an average compression ratio (ACR) of 87.53% and an average length loss ratio (ALLR) of 23.20%.
  • It demonstrated superior performance compared to four other algorithms in terms of compression ratio and trajectory shape integrity.
  • Robustness and applicability were confirmed across four different trajectory datasets.

Conclusions:

  • The ACTD-DP algorithm offers a superior compression effect for ship trajectories.
  • It effectively balances high compression ratios with the preservation of trajectory shape.
  • The algorithm exhibits good robustness and applicability, making it suitable for real-world scenarios.