A Quantitative Comparison of Distance Measures for Trajectories

[usage]: python example.py *.plt, *.plt

[file]: example.py:This file is basic executable file k_anonymity.py:k_anonymity source code

The anonymize result is reflected in *_k.txt file.
The result report is automatically generated.

Example:

ED Distance: 284526.0479103641 calcTime : 0.15625

DTW Distance: 252013.84772343005 calcTime : 1.46875

ERP Distance: 363224.31981925294 calcTime : 0.640625

EDR Distance: 0.26048565121412803 calcTime : 1.0625

LCSS Distance: 0.9752066115702479 calcTime : 1.09375

SSPD Distance: 129.88435121994073 calcTime : 0.625

OWD Distance: 0.20319155631746957 calcTime : 0.0

Frechet Distance: 393.339285767891 calcTime : 35.171875