Smarter cities and infrastructure are essential if the world is to respond effectively to the critical challenges it faces. As of 2008, and for the first time in human history, more than half of the world's population now live in cities. Yet cities increasingly need to be able to do more with less, to provide for the well-being of their citizens in a truly sustainable way. City-scale simulations are becoming a possibility with advancements in the computing hardware and software technologies. Recent advancements in distributed scaling using Apache Spark is exemplified through a case-study on simulating the traffic flow behaviour of London at per-hour time resolution. The case-study on the response of ground and structures in central Tokyo shows the advancements in multigrid techniques and Finite Element simulations. This paper discusses the advancements and challenges in high-performance computing (hardware, algorithms, software, and visualisation techniques) in achieving the possibility of real-time city-scale simulations.
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3 April 2018
Brief Report|
January 26 2018
Briefing: High-performance computing for city-scale modelling and simulations
Kenichi Soga, FREng, FICE;
University of California, Berkeley, CA, USA
(corresponding author: soga@berkeley.edu)
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Gerard Casey, MSc;
Gerard Casey, MSc
PhD Student
University of Cambridge, Cambridge, UK; Arup, London, UK
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Krishna Kumar, PhD;
Krishna Kumar, PhD
Research Associate
University of Cambridge, Cambridge, UK
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Bingyu Zhao, MSc
Bingyu Zhao, MSc
PhD Student
University of Cambridge, Cambridge, UK
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(corresponding author: soga@berkeley.edu)
Publisher: Emerald Publishing
Received:
November 17 2017
Accepted:
November 27 2017
Online ISSN: 2397-8759
ICE Publishing: All rights reserved
2018
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction (2018) 170 (4): 80–85.
Article history
Received:
November 17 2017
Accepted:
November 27 2017
Citation
Soga K, Casey G, Kumar K, Zhao B (2018), "Briefing: High-performance computing for city-scale modelling and simulations". Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, Vol. 170 No. 4 pp. 80–85, doi: https://doi.org/10.1680/jsmic.17.00026
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