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Convergence of Array DBMS and Cellular Automata: A Road Traffic Simulation Case

Summary: End-to-end road-traffic CA simulations run entirely in an array DBMS, via native UDFs, proactive plans, convolution, retiling, versioning, locks, and virtual axes. Demonstrates parallelization, data fusion, and in-database physical-world CA modeling. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6324
Venue
SIGMOD
Year
2021
Pagerank
5.093636e-05
Overall Rank
11,687 | 19.82%
DOI
10.1145/3448016.3458457

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{zalipynis_sigmod21,
        title = {{Convergence of Array DBMS and Cellular Automata: A Road Traffic Simulation Case}},
        author = {Zalipynis, Ramon Antonio Rodrigues},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3458457},
        url = {https://dl.acm.org/doi/10.1145/3448016.3458457},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
7,961 Array DBMS: Past, Present, and (Near) Future 2021 VLDB 5.5181056e-05
11,595 WebArrayDB: A Geospatial Array DBMS in Your Web Browser 2022 VLDB 5.093636e-05
11,606 SimDB in Action: Road Traffic Simulations Completely Inside Array DBMS 2022 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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