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T-Assess

Source code for T-Assess: An Efficient Data Quality Assessment System Tailored for Trajectory Data

Dependencies

The code is tested on

  • CentOS 7
  • Spark 3.3.2
  • Kafka 3.3.2
  • Python 3.9
  • numpy 1.23.3

Run Trajectory Sampling

Supposing that trajectories are stored in the repository ./data/Tdrive/taxi, the trajectory sampler with 50% samples and 64 grid resolution is executed in a shell command

python optimizer.py --data_root ./data --dataset Tdrive/taxi --ratio_samples 0.5 --num_grids 64 --save_dir ./data --seed 2023