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Accelerating Urban Modelling Algorithms with Artificial Intelligence

Milton, R; Roumpani, F; (2019) Accelerating Urban Modelling Algorithms with Artificial Intelligence. In: Grueau, C and Laurini, R and Ragia, L, (eds.) Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM. (pp. pp. 105-116). INSTICC: Heraklion, Crete, Greece. Green open access

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Abstract

In this paper, we demonstrate that developments in computer hardware to support the increasingly complex artificial intelligence workflows for Deep Learning networks can be adapted for urban modelling and visualisation. The hypothesis here is that by leveraging the current practice of AI as a Service (AIaaS), then this enables Urban Modelling as a Service (UMaaS) to be developed. The starting point for this paper is a 3D visualisation of the Queen Elizabeth Olympic Park, developed using a web-based spatial interaction modelling system which calculates population metrics on the fly, capable of showing the results of interventions by urban planners in real-time. We take the web application that powers the interactive visualisation and use Google’s TensorFlow AI library to accelerate the matrix operations required to run the spatial interaction model, making the web application fast enough to be used interactively.

Type: Proceedings paper
Title: Accelerating Urban Modelling Algorithms with Artificial Intelligence
Event: 5th International Conference on Geographical Information Systems Theory, Applications and Management GISTAM
Location: Heraklion, Crete, Greece
Dates: 03 May 2019 - 05 May 2019
ISBN-13: 978-989-758-371-1
Open access status: An open access version is available from UCL Discovery
DOI: 10.5220/0007727201050116
Publisher version: https://www.scitepress.org/ProceedingsDetails.aspx...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Urban Modelling, Spatial Interaction Modelling, Artificial Intelligence, 3D Visualisation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10075142
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