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

Project Information

DUST

Grant agreement ID: 757455

DOI

10.3030/757455

Project closed

EC signature date 14 November 2017

Start date 1 January 2018

End date 31 December 2023

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 499 840,00

EU contribution

€ 1 499 840,00

Coordinated by

UNIVERSITY OF LEEDS
United Kingdom

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (16)

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

Author(s): Patricia Ternes; Jonathan A. Ward; Alison Heppenstall; Alison Heppenstall; Vijay Kumar; Le Minh Kieu; Nick Malleson; Nick Malleson
Published in: Open Research Europe, 2022, ISSN 2732-5121
Publisher: European Commission
DOI: 10.12688/openreseurope.14144.1

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

Author(s): Nan Cui; Nick Malleson; Victoria Houlden; Alexis Comber
Published in: ISPRS International Journal of Geo-Information, 2021, ISSN 2220-9964
Publisher: MDPI
DOI: 10.3390/ijgi10070425

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

Author(s): Alison J. Heppenstall; Andrew Crooks; Nick Malleson; Nick Malleson; Ed Manley; Ed Manley; Jiaqi Ge; Michael Batty
Published in: Geographical Analysis, 2020, ISSN 1538-4632
Publisher: Wiley
DOI: 10.1111/gean.12267

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

Author(s): 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,
Published in: Environmental Modelling & Software, 2023, ISSN 1364-8152
Publisher: Elsevier BV
DOI: 10.1016/j.envsoft.2023.105713

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

Author(s): R. Clay, J. A. Ward, P. Ternes, L-M Kieu, N. Malleson,
Published in: Simulation Modelling Practice and Theory, Issue 113, 2021, ISSN 1569-190X
Publisher: Elsevier BV
DOI: 10.1016/j.simpat.2021.102386

Calibrating Agent-Based Models Using Uncertainty Quantification Methods

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

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

Author(s): 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
Published in: Ecological Modelling, Issue 457, 2021, ISSN 0304-3800
Publisher: Elsevier BV
DOI: 10.1016/j.ecolmodel.2021.109685

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

Author(s): Annabel Whipp; Nicolas Malleson; Jonathan A. Ward; Alison J. Heppenstall
Published in: ISPRS International Journal of Geo-Information, 2021, ISSN 2220-9964
Publisher: MDPI
DOI: 10.3390/ijgi10030131

Data assimilation with agent-based models using Markov chain sampling

Author(s): Daniel Tang, Nick Malleson
Published in: Open Research Europe, 2022, ISSN 2732-5121
Publisher: 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

Author(s): Tomas Crols, Nick Malleson
Published in: GeoInformatica, Issue 23/2, 2019, Page(s) 201-220, ISSN 1384-6175
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10707-019-00346-1

A stochastic schedule-following simulation model of bus routes

Author(s): Le-Minh Kieu, Dong Ngoduy, Nicolas Malleson, Edward Chung
Published in: Transportmetrica B: Transport Dynamics, Issue 7/1, 2019, Page(s) 1588-1610, ISSN 2168-0566
Publisher: Taylor and Francis Inc.
DOI: 10.1080/21680566.2019.1670118

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

Author(s): Le-Minh Kieu, Nicolas Malleson, Alison Heppenstall
Published in: Royal Society Open Science, Issue 7/1, 2020, Page(s) 191074, ISSN 2054-5703
Publisher: Royal Society Open Science
DOI: 10.1098/rsos.191074

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

Author(s): Nick Malleson, Kevin Minors, Le-Minh Kieu, Jonathan A. Ward, Andrew West, Alison Heppenstall
Published in: Journal of Artificial Societies and Social Simulation, Issue 23/3, 2020, ISSN 1460-7425
Publisher: University of Surrey
DOI: 10.18564/jasss.4266

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

Author(s): Molly Asher; Nik Lomax; Karyn Morrissey; Fiona Spooner; Nick Malleson
Published in: Scientific Reports, Issue 13 (8637), 2023, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-023-35580-z

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

Author(s): N. Malleson, Birkin, M., Birks, D., Ge, J., Heppenstall, A., Manley, E., McCulloch, J., Ternes, P.
Published in: AI Communications, Issue 35 (4), 2022, Page(s) 393-406, ISSN 0921-7126
Publisher: IOS Press
DOI: 10.3233/aic-220114

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

Author(s): Minh Kieu, Hoang Nguyen, Jonathan A. Ward, Nick Malleson
Published in: Journal of Simulation, 2022, ISSN 1747-7786
Publisher: 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

Author(s): Oswald, Yannick; Malleson, Nick; Suchak, Keiran
Published in: arxiv, 2023
Publisher: arxiv
DOI: 10.48550/arxiv.2302.11277

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

Author(s): Daniel Tang
Published in: arXiv [cs.MA], 2020
Publisher: arXiv.org

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

Author(s): Le-Minh Kieu, Nicolas Malleson, Alison Heppenstall
Published in: arXiv [cs.MA], 2020
Publisher: arXiv.org

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

Author(s): Nick Malleson, Kevin Minors, Le-Minh Kieu, Jonathan A. Ward, Andrew A. West, Alison Heppenstall
Published in: arXiv [cs.MA], 2020
Publisher: arXiv.org

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

Author(s): Daniel Tang
Published in: arXiv [cs.MA], 2020
Publisher: arXiv.org

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

Author(s): Malleson, Nick; Birkin, Mark; Birks, Daniel; Ge, Jiaqi; Heppenstall, Alison; Manley, Ed; McCulloch, Josie; Ternes, Patricia
Published in: arXiv [cs.MA], 2022
Publisher: arXiv
DOI: 10.48550/arxiv.2210.06955

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

Author(s): Tang, Daniel
Published in: arXiv, 2020
Publisher: arXiv
DOI: 10.48550/arxiv.2005.05086

Conference proceedings (3)

Predicting Pedestrian Counts using Machine Learning

Author(s): Molly Asher; Yannick Oswald; Nick Malleson
Published in: AGILE: GIScience Series, 2023
Publisher: AGILE
DOI: 10.5194/agile-giss-4-18-2023

Towards the development of societal twins

Author(s): Dan Birks, Alison Heppenstall, Nick Malleson
Published in: 24th European Conference on Artificial Intelligence - ECAI 2020, 2020
Publisher: ECAI2020

Building Cities from Slime Mould, Agents and Quantum Field Theory

Author(s): Alison Heppenstall, Nick Malleson
Published in: AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, 2020, ISBN 978-1-4503-7518-4
Publisher: 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

Author(s): Robert Clay, Le-Minh Kieu, Jonathan A. Ward, Alison Heppenstall, Nick Malleson
Published 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, Issue 12092, 2020, Page(s) 68-79, ISBN 978-3-030-49777-4
Publisher: 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

Author(s): R. Clay, L-M Kieu, J. A. Ward, A. Heppenstall, N. Malleson
Published in: Lecture Notes in Computer Science, 2022, ISSN 0302-9743
Publisher: Springer
DOI: 10.1007/978-3-030-49778-1