210 King Street: a dataset for integrated performance assessment

Authors:
Ramtin Attar;Venk Prabhu;Michael Glueck;Azam Khan
Affiliations:
Autodesk Research, Toronto, Ontario, Canada;Carleton University, Ottawa, Ontario, Canada;Autodesk Research, Toronto, Ontario, Canada;Autodesk Research, Toronto, Ontario, Canada
Venue:
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Year:
2010

Citing 1
Cited 2

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BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors

Big data from the built environment

Proceedings of the 2nd international workshop on Research in the large
Leveraging cloud computing and high performance computing advances for next-generation architecture, urban design and construction projects

Proceedings of the 2011 Symposium on Simulation for Architecture and Urban Design

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Abstract

This paper presents a Building Information Modeling (BIM) re-creation of a designated heritage building located in Toronto, Canada. By taking advantage of BIM as a centralized database, which describes both geometric and semantic aspects of a building, this model can be leveraged as a source of input for many forms of analysis. In addition to the BIM model, we present a comprehensive point cloud dataset gathered using terrestrial laser scanning technology. Based on an existing and a living building, this model is an ideal candidate for simulations that can be cross referenced with information gathered on-site.