Dr Sedar Olmez FRGS

Available via institutional email address


Curriculum vitae



Social Digital Twin - Converging Technologies

Fujitsu Research of Europe

2nd Floor (West), The Urban Building, 3-9 Albert Street, Slough, England, SL1 2BE



Overcoming Computational Complexity: A Scalable Agent-Based Model of Traffic Activity Using FLAME-GPU


Conference paper


Maxim Smilovitskiy, Sedar Olmez, Paul Richmond, Robert Chisholm, Peter Heywood, Alvaro Cabrejas, Sven van den Berghe, Sachio Kobayashi
Lecture Notes in Computer Science ((LNAI)), Philippe Mathieu, Fernando De la Prieta, Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection, vol. 15157, Springer Nature, 2024 Nov 19


Cite

Cite

APA   Click to copy
Smilovitskiy, M., Olmez, S., Richmond, P., Chisholm, R., Heywood, P., Cabrejas, A., … Kobayashi, S. (2024). Overcoming Computational Complexity: A Scalable Agent-Based Model of Traffic Activity Using FLAME-GPU. In P. Mathieu & F. D. la Prieta (Eds.), Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection (Vol. 15157). Springer Nature. https://doi.org/10.1007/978-3-031-70415-4_21


Chicago/Turabian   Click to copy
Smilovitskiy, Maxim, Sedar Olmez, Paul Richmond, Robert Chisholm, Peter Heywood, Alvaro Cabrejas, Sven van den Berghe, and Sachio Kobayashi. “Overcoming Computational Complexity: A Scalable Agent-Based Model of Traffic Activity Using FLAME-GPU.” In Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection, edited by Philippe Mathieu and Fernando De la Prieta. Vol. 15157. Lecture Notes in Computer Science ((LNAI)). Springer Nature, 2024.


MLA   Click to copy
Smilovitskiy, Maxim, et al. “Overcoming Computational Complexity: A Scalable Agent-Based Model of Traffic Activity Using FLAME-GPU.” Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection, edited by Philippe Mathieu and Fernando De la Prieta, vol. 15157, Springer Nature, 2024, doi:10.1007/978-3-031-70415-4_21.


BibTeX   Click to copy

@inproceedings{maxim2024a,
  title = {Overcoming Computational Complexity: A Scalable Agent-Based Model of Traffic Activity Using FLAME-GPU},
  year = {2024},
  month = nov,
  day = {19},
  publisher = {Springer Nature},
  series = {Lecture Notes in Computer Science ((LNAI))},
  volume = {15157},
  doi = {10.1007/978-3-031-70415-4_21},
  author = {Smilovitskiy, Maxim and Olmez, Sedar and Richmond, Paul and Chisholm, Robert and Heywood, Peter and Cabrejas, Alvaro and van den Berghe, Sven and Kobayashi, Sachio},
  editor = {Mathieu, Philippe and la Prieta, Fernando De},
  booktitle = {Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection},
  month_numeric = {11}
}

Smilovitskiy, M. et al. (2025). Overcoming Computational Complexity: A Scalable Agent-Based Model of Traffic Activity Using FLAME-GPU. In: Mathieu, P., De la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection. PAAMS 2024. Lecture Notes in Computer Science(), vol 15157. Springer, Cham. https://doi.org/10.1007/978-3-031-70415-4_21

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