210 King Street: A Dataset for Integrated
Performance Assessment
R. Attar, V. Prabhu, M. Glueck, and A. Khan. Proceedings of the 2010 Spring Simulation
Multiconference, page 177:1--177:4. San Diego, CA, USA, Society for Computer Simulation International, (2010)
DOI: 10.1145/1878537.1878722
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.
%0 Conference Paper
%1 attar2010street
%A Attar, Ramtin
%A Prabhu, Venk
%A Glueck, Michael
%A Khan, Azam
%B Proceedings of the 2010 Spring Simulation
Multiconference
%C San Diego, CA, USA
%D 2010
%I Society for Computer Simulation International
%K analysis, building cloud dataset, geoinformatics_fce_ctu_ref information modeling, performance point
%P 177:1--177:4
%R 10.1145/1878537.1878722
%T 210 King Street: A Dataset for Integrated
Performance Assessment
%X 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.
%@ 978-1-4503-0069-8
@inproceedings{attar2010street,
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.},
added-at = {2016-12-09T17:01:51.000+0100},
address = {San Diego, CA, USA},
author = {Attar, Ramtin and Prabhu, Venk and Glueck, Michael and Khan, Azam},
biburl = {https://www.bibsonomy.org/bibtex/20614245ba6572c746194412aedcf71fe/cepek},
booktitle = {Proceedings of the 2010 {Spring} {Simulation}
{Multiconference}},
doi = {10.1145/1878537.1878722},
interhash = {e9c5828f983c79743c39ae3ab5546678},
intrahash = {0614245ba6572c746194412aedcf71fe},
isbn = {978-1-4503-0069-8},
keywords = {analysis, building cloud dataset, geoinformatics_fce_ctu_ref information modeling, performance point},
opturl = {http://dx.doi.org/10.1145/1878537.1878722},
opturldate = {2016-02-02},
pages = {177:1--177:4},
publisher = {Society for Computer Simulation International},
series = {{SpringSim} '10},
shorttitle = {210 {King} {Street}},
timestamp = {2016-12-09T17:03:22.000+0100},
title = {210 {King} {Street}: {A} {Dataset} for {Integrated}
{Performance} {Assessment}},
year = 2010
}