@inproceedings{9e8796a0d29b4d0d81e62d7d5e937753,
title = "A spatio-temporal simulation model for movement data generation",
abstract = "The real-world process of generating a large spatio-temporal data collection presents a very difficult technical problem. First, this process is very expensive, requiring a lot of various high-technology software tools and modern hardware infrastructure (sensors, servers, GPS infrastructure etc.) installations; second, the recorded trajectories sometimes cannot represent any special traffic or movement patterns. The simulation framework introduced in this paper can generate diverse trajectory datasets based on predetermined movement patterns.",
keywords = "Movement data generation, Movement patterns, Spatio-temporal simulation model, Trajectory",
author = "D. Alberg and M. Last and S. Elnekave",
year = "2008",
month = jan,
day = "1",
doi = "10.1109/ICDMW.2008.56",
language = "English",
isbn = "9780769535036",
series = "Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "320--325",
booktitle = "Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008",
address = "United States",
note = "8th IEEE International Conference on Data Mining Workshops, ICDMW 2008 ; Conference date: 15-12-2008 Through 19-12-2008",
}