Data Assimilation for Agent-Based Models: Applications to Civil Emergencies

Informazioni relative al progetto

DUST

ID dell’accordo di sovvenzione: 757455

DOI

10.3030/757455

Progetto chiuso

Data della firma CE 14 Novembre 2017

Data di avvio 1 Gennaio 2018

Data di completamento 31 Dicembre 2023

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 1 499 840,00

Contributo UE

€ 1 499 840,00

Coordinato da

UNIVERSITY OF LEEDS
United Kingdom

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Peer reviewed articles (16)

Data assimilation and agent-based modelling: towards the incorporation of categorical agent parameters

Autori: Patricia Ternes; Jonathan A. Ward; Alison Heppenstall; Alison Heppenstall; Vijay Kumar; Le Minh Kieu; Nick Malleson; Nick Malleson
Pubblicato in: Open Research Europe, 2022, ISSN 2732-5121
Editore: European Commission
DOI: 10.12688/openreseurope.14144.1

Using VGI and Social Media Data to Understand Urban Green Space: A Narrative Literature Review

Autori: Nan Cui; Nick Malleson; Victoria Houlden; Alexis Comber
Pubblicato in: ISPRS International Journal of Geo-Information, 2021, ISSN 2220-9964
Editore: MDPI
DOI: 10.3390/ijgi10070425

Future Developments in Geographical Agent‐Based Models: Challenges and Opportunities

Autori: Alison J. Heppenstall; Andrew Crooks; Nick Malleson; Nick Malleson; Ed Manley; Ed Manley; Jiaqi Ge; Michael Batty
Pubblicato in: Geographical Analysis, 2020, ISSN 1538-4632
Editore: Wiley
DOI: 10.1111/gean.12267

Modeling agent decision and behavior in the light of data science and artificial intelligence

Autori: Li An, Volker Grimm, Yu Bai, Abigail Sullivan, B.L. Turner, Nicolas Malleson, Alison Heppenstall, Christian Vincenot, Derek Robinson, Xinyue Ye, Jianguo Liu, Emilie Lindkvist, Wenwu Tang,
Pubblicato in: Environmental Modelling & Software, 2023, ISSN 1364-8152
Editore: Elsevier BV
DOI: 10.1016/j.envsoft.2023.105713

Real-time agent-based crowd simulation with the Reversible Jump Unscented Kalman Filter

Autori: R. Clay, J. A. Ward, P. Ternes, L-M Kieu, N. Malleson,
Pubblicato in: Simulation Modelling Practice and Theory, Numero 113, 2021, ISSN 1569-190X
Editore: Elsevier BV
DOI: 10.1016/j.simpat.2021.102386

Calibrating Agent-Based Models Using Uncertainty Quantification Methods

Autori: McCulloch, Josie; Ge, Jiaqi; Ward, Jonathan A.; Heppenstall, Alison; Polhill, J. Gareth; Malleson, Nick
Pubblicato in: Journal of Artificial Societies & Social Simulation, Numero 25 (2), 2022, ISSN 1460-7425
Editore: University of Surrey
DOI: 10.18564/jasss.4791

Challenges, tasks, and opportunities in modeling agent-based complex systems

Autori: An, Li, Volker Grimm, Abigail Sullivan, B.L. Turner II, Nicolas Malleson, Alison Heppenstall, Christian Vincenot, Derek Robinson, Xinyue Ye, Jianguo Liu, Emilie Lindkvist, Wenwu Tang
Pubblicato in: Ecological Modelling, Numero 457, 2021, ISSN 0304-3800
Editore: Elsevier BV
DOI: 10.1016/j.ecolmodel.2021.109685

Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources

Autori: Annabel Whipp; Nicolas Malleson; Jonathan A. Ward; Alison J. Heppenstall
Pubblicato in: ISPRS International Journal of Geo-Information, 2021, ISSN 2220-9964
Editore: MDPI
DOI: 10.3390/ijgi10030131

Data assimilation with agent-based models using Markov chain sampling

Autori: Daniel Tang, Nick Malleson
Pubblicato in: Open Research Europe, 2022, ISSN 2732-5121
Editore: European Commission
DOI: 10.12688/openreseurope.14800.1

Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility

Autori: Tomas Crols, Nick Malleson
Pubblicato in: GeoInformatica, Numero 23/2, 2019, Pagina/e 201-220, ISSN 1384-6175
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10707-019-00346-1

A stochastic schedule-following simulation model of bus routes

Autori: Le-Minh Kieu, Dong Ngoduy, Nicolas Malleson, Edward Chung
Pubblicato in: Transportmetrica B: Transport Dynamics, Numero 7/1, 2019, Pagina/e 1588-1610, ISSN 2168-0566
Editore: Taylor and Francis Inc.
DOI: 10.1080/21680566.2019.1670118

Dealing with uncertainty in agent-based models for short-term predictions

Autori: Le-Minh Kieu, Nicolas Malleson, Alison Heppenstall
Pubblicato in: Royal Society Open Science, Numero 7/1, 2020, Pagina/e 191074, ISSN 2054-5703
Editore: Royal Society Open Science
DOI: 10.1098/rsos.191074

Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter

Autori: Nick Malleson, Kevin Minors, Le-Minh Kieu, Jonathan A. Ward, Andrew West, Alison Heppenstall
Pubblicato in: Journal of Artificial Societies and Social Simulation, Numero 23/3, 2020, ISSN 1460-7425
Editore: University of Surrey
DOI: 10.18564/jasss.4266

Dynamic calibration with approximate Bayesian computation for a microsimulation of disease spread

Autori: Molly Asher; Nik Lomax; Karyn Morrissey; Fiona Spooner; Nick Malleson
Pubblicato in: Scientific Reports, Numero 13 (8637), 2023, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-023-35580-z

Agent-based modelling for Urban Analytics: State of the art and challenges

Autori: N. Malleson, Birkin, M., Birks, D., Ge, J., Heppenstall, A., Manley, E., McCulloch, J., Ternes, P.
Pubblicato in: AI Communications, Numero 35 (4), 2022, Pagina/e 393-406, ISSN 0921-7126
Editore: IOS Press
DOI: 10.3233/aic-220114

Towards real-time predictions using emulators of agent-based models

Autori: Minh Kieu, Hoang Nguyen, Jonathan A. Ward, Nick Malleson
Pubblicato in: Journal of Simulation, 2022, ISSN 1747-7786
Editore: Taylor & Francis
DOI: 10.1080/17477778.2022.2080008

Other (7)

An agent-based model of the 2020 international policy diffusion in response to the COVID-19 pandemic with particle filter

Autori: Oswald, Yannick; Malleson, Nick; Suchak, Keiran
Pubblicato in: arxiv, 2023
Editore: arxiv
DOI: 10.48550/arxiv.2302.11277

Finding the maximum-a-posteriori behaviour of agents in an agent-based model

Autori: Daniel Tang
Pubblicato in: arXiv [cs.MA], 2020
Editore: arXiv.org

Dealing with uncertainty in agent-based models for short-term predictions

Autori: Le-Minh Kieu, Nicolas Malleson, Alison Heppenstall
Pubblicato in: arXiv [cs.MA], 2020
Editore: arXiv.org

Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter

Autori: Nick Malleson, Kevin Minors, Le-Minh Kieu, Jonathan A. Ward, Andrew A. West, Alison Heppenstall
Pubblicato in: arXiv [cs.MA], 2020
Editore: arXiv.org

Data assimilation in Agent-based models using creation and annihilation operators

Autori: Daniel Tang
Pubblicato in: arXiv [cs.MA], 2020
Editore: arXiv.org

Agent-based modelling for Urban Analytics: State of the art and challenges

Autori: Malleson, Nick; Birkin, Mark; Birks, Daniel; Ge, Jiaqi; Heppenstall, Alison; Manley, Ed; McCulloch, Josie; Ternes, Patricia
Pubblicato in: arXiv [cs.MA], 2022
Editore: arXiv
DOI: 10.48550/arxiv.2210.06955

Decentralised, privacy-preserving Bayesian inference for mobile phone contact tracing

Autori: Tang, Daniel
Pubblicato in: arXiv, 2020
Editore: arXiv
DOI: 10.48550/arxiv.2005.05086

Conference proceedings (3)

Predicting Pedestrian Counts using Machine Learning

Autori: Molly Asher; Yannick Oswald; Nick Malleson
Pubblicato in: AGILE: GIScience Series, 2023
Editore: AGILE
DOI: 10.5194/agile-giss-4-18-2023

Towards the development of societal twins

Autori: Dan Birks, Alison Heppenstall, Nick Malleson
Pubblicato in: 24th European Conference on Artificial Intelligence - ECAI 2020, 2020
Editore: ECAI2020

Building Cities from Slime Mould, Agents and Quantum Field Theory

Autori: Alison Heppenstall, Nick Malleson
Pubblicato in: AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, 2020, ISBN 978-1-4503-7518-4
Editore: International Foundation for Autonomous Agents and Multiagent Systems

Book chapters (2)

Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter

Autori: Robert Clay, Le-Minh Kieu, Jonathan A. Ward, Alison Heppenstall, Nick Malleson
Pubblicato in: Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection - 18th International Conference, PAAMS 2020, L'Aquila, Italy, October 7–9, 2020, Proceedings, Numero 12092, 2020, Pagina/e 68-79, ISBN 978-3-030-49777-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-49778-1_6

Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter

Autori: R. Clay, L-M Kieu, J. A. Ward, A. Heppenstall, N. Malleson
Pubblicato in: Lecture Notes in Computer Science, 2022, ISSN 0302-9743
Editore: Springer
DOI: 10.1007/978-3-030-49778-1