Efficient network-constrained trajectory queries

Autor: Kristian Torp, Magnus N. Hansen

Publikováno v: Torp, K & Hansen, M N 2022, Efficient network-constrained trajectory queries . in M Renz, M Sarwat, M A Nascimento, S Shekhar & X Xie (eds), 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2022 ., 92, Association for Computing Machinery, GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, pp. 1-4, 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL GIS 2022, Seattle, United States, 01/11/2022 . https://doi.org/10.1145/3557915.3561028

The large search companies have very clearly shown that full-text search on very large datasets can be executed efficiently. In this paper, we show how querying spatio-temporal trajectory data can be converted to a full-text search problem. This allo

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