Immersive Computing and Crowd Simulation Techniques in Modelling Urban Commons-Reference-Cited by-同舟云学术

Immersive Computing and Crowd Simulation Techniques in Modelling Urban Commons

Published:2019-01 Issue:1 Volume:8 Page:35-49
ISSN:2160-9918
Container-title:International Journal of E-Planning Research
language:en
Short-container-title:

Author:

Artopoulos Georgios¹,Charalambous Panayiotis¹,Wehmeier Colter Eugene²

Affiliation:

1. The Cyprus Institute, Nicosia, Cyprus

2. National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, USA

Abstract

This article reports on the technical development and testing of the basic components of a virtual environment platform that could be used for the cross-disciplinary study of complex urban realities, such as the historic city of Nicosia, Cyprus - the last divided capital of Europe. This platform captures data of virtual visitors' movements in space, and the article suggests that these data could help better understand the impact of planning scenarios and design interventions in open public spaces that used to be popular among the citizens of the historic city. The article presents how this platform uses interaction and immersion opportunities to engage citizens and stakeholders in the management of public open spaces that are associated with built heritage. Crowd simulation is discussed as a computational technique that when is combined with the presented virtual environment platform, and under the right conditions, would contribute to a digital practice for small-scale urban modelling. However, it is beyond the scope of this technical note to provide a full empirical testing and validation of the presented immersive virtual environment.

Publisher

IGI Global

Subject

Computer Science Applications,Urban Studies,Geography, Planning and Development

Reference46 articles.

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3. Artopoulos, G., Christofi, P., & Bakirtzis, N. (2018). Digital Survey, Representation and Management Plan of the Paphos Gate, Nicosia. In Cultural Heritage: Preserving Memory Symposium, ICOMOS Cyprus, Cultural Foundation of Bank of Cyprus, Nicosia, Cyprus.

4. Bera, A., Kim, S., & Manocha, D. (2015). Efficient trajectory extraction and parameter learning for data-driven crowd simulation. In Proceedings of the 41st Graphics Interface Conference (pp. 65-72). Canadian Information Processing Society.

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