A paper accepted for SIGSPATIAL 2020

A paper proposing a method to fast and memory-efficient similarity search of massive spatial trajectories was accepted for SIGSPATIAL 2020:
Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei.
Succinct Trit-array Trie for Scalable Trajectory Similarity Search.
In Proceedings of 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020), 2020.