Towards the Evolution of Synthetic Population in Continuous Time

Barthélemy, Johan; Dumont, Morgane; Carletti, Timoteo

doi:10.1007/978-3-030-61503-1_19

No full text

Paper published in a book (Scientific congresses and symposiums)

Towards the Evolution of Synthetic Population in Continuous Time

Barthélemy, Johan; Dumont, Morgane; Carletti, Timoteo

2021 • In Ahrweiler, Petra (Ed.) Advances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019

Editorial reviewed

Permalink
https://hdl.handle.net/2268/297542

DOI
10.1007/978-3-030-61503-1_19

Files (0)Send to Details Statistics Bibliography Similar publications

Files

Full Text

No document available.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

Continuous evolution; Gillespie algorithm; Synthetic population; Applied Mathematics; Modeling and Simulation; Computer Science Applications

Abstract :

[en] Synthetic populations are tools widely spread in the agent-based community for representing a baseline population of interest whose dynamics and evolution will be simulated and studied. The dynamic evolution of the synthetic population has been typically performed using a discrete and fixed time step. A continuous approach based on the Gillespie algorithm is proposed in this research. Preliminary experiments illustrate the potential of the new method before future work are discussed.

Disciplines :

Quantitative methods in economics & management

Author, co-author :

Barthélemy, Johan ; University of Wollongong, Wollongong, Australia

Dumont, Morgane ; Université de Liège - ULiège > HEC Liège : UER > UER Opérations : Quantitative Models and Methods in Management ; University of Namur, Namur, Belgium

Carletti, Timoteo ; University of Namur, Namur, Belgium

Language :

English

Title :

Towards the Evolution of Synthetic Population in Continuous Time

Publication date :

2021

Event name :

15th Social Simulation Conference

Event place :

Mainz, Deu

Event date :

23-09-2019 => 27-09-2019

Audience :

International

Main work title :

Advances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019

Editor :

Ahrweiler, Petra

Publisher :

Springer Science and Business Media B.V.

ISBN/EAN :

978-3-03-061502-4

Peer reviewed :

Editorial reviewed

Additional URL :

https://link.springer.com/content/pdf/10.1007/978-3-030-61503-1_19

Funding text :

Fig. 19.5 Number of births per month assuming a constant uniform probability distribution over the year (left panel) and a non-uniform probability distribution (right panel) Acknowledgements The authors wish to thank their respective institution for their continuous support. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan V GPU used for this research.

Available on ORBi :

since 20 December 2022

Statistics

Number of views

38 (4 by ULiège)

Number of downloads

0 (0 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenAlex citations

Bibliography

R.J. Beckman, K.A. Baggerly, M.D. McKay, Creating synthetic baseline populations. Transp. Res. Part A: Policy Pract. 30(6), 415–429 (1996)
F. Gargulio, S. Ternes, S. Huet, G. Deffuant, An iterative approach for generating statistically realistic populations of households. PLoS ONE 5(1), e8828 (2010)
J. Barthélemy, P.L. Toint, Synthetic population generation without a sample. Transp. Sci. 47(2), 266–279 (2013)
N. Huynh, J. Barthelemy, P. Perez, A heuristic combinatorial optimisation approach to synthe-sising a population for agent based modelling purposes. J. Artif. Soc. Soc. Simul. 19(4), 11 (2016)
P. Ye, X. Hu, Y. Yuan, F.Y. Wang, Population synthesis based on joint distribution inference without disaggregate samples. J. Artif. Soc. Soc. Simul. 20(4), 1–16 (2017)
M. Lenormand, G. Deffuant, Generating a synthetic population of individuals in households: sample-free vs sample-based methods. arXiv preprint arXiv:1208.6403 (2012)
R. Lovelace, M. Dumont, Spatial Microsimulation with R. CRC Press, (2016) doi:https://doi. org/10.1201/b20666
E.J. Miller, P.A. Salvini, The integrated land use, transportation, environment (ILUTE) microsimulation modelling system: description and current status. Travel behaviour research: The leading edge, 711–724 (2001)
E. Cornelis, J. Barthelemy, X. Pauly, F. Walle, Modélisation de la mobilité résidentielle en vue d’une micro-simulation des évolutions de population. Les Cahiers Scientifiques Du Transport 62, 65–84 (2012)
Barthélemy, J.: A parallelized micro-simulation platform for population and mobility behaviour-Application to Belgium. Ph.D. thesis, University of Namur (2014)
M. Dumont, T. Carletti, E. Cornélis, Vieillissement et entraide: Quelles méthodes pour décrire et mesurer les enjeux? Univer’Cité 6, 55 (2017)
N. Huynh, P. Perez, M. Berryman, J. Barthélemy, Simulating transport and land use interde-pendencies for strategic urban planning-An agent based modelling approach. Systems, 3(4), 177–210 (2015). doi:https://doi.org/10.3390/systems3040177
M. Dumont, J. Barthelemy, N. Huynh, T. Carletti, Towards the right ordering of the sequence of models for the evolution of a population using agent-based simulation. J. Artif. Soc. Soc. Simul. 21(4), 3 (2018)