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