University of Wollongong
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Modelling and data frameworks for understanding infrastructure systems throuh a systems-of-systems lens

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conference contribution
posted on 2024-11-17, 11:24 authored by Matthew Berryman, Rohan Wickramasuriya Denagamage, Vu Lam Cao, Pascal Perez
Modelling and analysis of large systems of infrastructure systems carries with it a number of challenges, in particular around the volume of data and the requisite complexity (and thus computing resources required) of models. In this paper we present an integrated land use–transportation model of a region in Sydney, and detail how we integrated an agent-based model of location and transport choice with a traffic micro-simulator. We also discuss both some novel architectures for scalability of modelling as well as for fusion and relevant visualisation of large data sets. We have a particular focus on geospatial infrastructure data visualisation.

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Citation

Berryman, M. J., Denamagage, R. W., Cao, V. & Perez, P. (2013). Modelling and data frameworks for understanding infrastructure systems throuh a systems-of-systems lens. International Symposium for Next Generation Infrastructure 2013 (ISNGI) (pp. 1-13).

Parent title

International Symposium for Next Generation Infrastructure

Language

English

RIS ID

86255

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