TrajMetrix

Kyuseo Park, Jeremy Birnbaum, Paul W. Olsen, Yuchao Ma, Jayadevan Vijayan, S. S. Ravi, Jeong-Hyon Hwang, Jonathan Muckell, Catherine T. Lawson · 2013

Trajectory compression algorithms enable efficient transmission, storage, and processing of trajectory data by eliminating redundant information. While a large number of compression algorithms have been developed, there is no comprehensive and convenient benchmarking system for evaluating these algorithms. We will demonstrate TrajMetrix, our system that meets the above need. We will show how TrajMetrix can be used to gain insights into the benefits and drawbacks of various compression algorithms given different compression requirements.

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