Generating traffic-based building occupancy schedules in Chattanooga, Tennessee from a grid of traffic sensors

Andy Berres; Brett Bass; Joshua R. New; Piljae Im; Marie Urban; Jibonananda Sanyal

doi:10.26868/25222708.2021.30744

Generating traffic-based building occupancy schedules in Chattanooga, Tennessee from a grid of traffic sensors

Andy Berres, Brett Bass, Joshua R. New, Piljae Im, Marie Urban, Jibonananda Sanyal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Building occupancy significantly impacts energy use, timing for demand impacts, and is a significant source of uncertainty in building energy models. There are relatively few sources that define building occupancy schedules and number of occupants per building or space type. More importantly, these sources define traditional schedules that are likely not to reflect the true occupancy of a given building. We construct traffic-based occupancy schedules which are more responsive to changes in mobility patterns, and which can realistically estimate occupant arrivals, departures, and counts in individual buildings.

Original language	English
Title of host publication	BS 2021 - Proceedings of Building Simulation 2021
Subtitle of host publication	17th Conference of IBPSA
Editors	Dirk Saelens, Jelle Laverge, Wim Boydens, Lieve Helsen
Publisher	International Building Performance Simulation Association
Pages	3616-3623
Number of pages	8
ISBN (Electronic)	9781775052029
DOIs	https://doi.org/10.26868/25222708.2021.30744
State	Published - 2022
Event	17th IBPSA Conference on Building Simulation, BS 2021 - Bruges, Belgium Duration: Sep 1 2021 → Sep 3 2021

Publication series

Name	Building Simulation Conference Proceedings
ISSN (Print)	2522-2708

Conference

Conference	17th IBPSA Conference on Building Simulation, BS 2021
Country/Territory	Belgium
City	Bruges
Period	09/1/21 → 09/3/21

Funding

This work was funded in part by field work proposal CEBT105 under US Department of Energy Building Technology Office Activity Number BT0305000, the Office of Electricity Activity Number TE1103000.

Access to Document

10.26868/25222708.2021.30744

Cite this

Berres, A., Bass, B., New, J. R., Im, P., Urban, M., & Sanyal, J. (2022). Generating traffic-based building occupancy schedules in Chattanooga, Tennessee from a grid of traffic sensors. In D. Saelens, J. Laverge, W. Boydens, & L. Helsen (Eds.), BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA (pp. 3616-3623). (Building Simulation Conference Proceedings). International Building Performance Simulation Association. https://doi.org/10.26868/25222708.2021.30744

Berres, Andy ; Bass, Brett ; New, Joshua R. et al. / Generating traffic-based building occupancy schedules in Chattanooga, Tennessee from a grid of traffic sensors. BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA. editor / Dirk Saelens ; Jelle Laverge ; Wim Boydens ; Lieve Helsen. International Building Performance Simulation Association, 2022. pp. 3616-3623 (Building Simulation Conference Proceedings).

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title = "Generating traffic-based building occupancy schedules in Chattanooga, Tennessee from a grid of traffic sensors",

abstract = "Building occupancy significantly impacts energy use, timing for demand impacts, and is a significant source of uncertainty in building energy models. There are relatively few sources that define building occupancy schedules and number of occupants per building or space type. More importantly, these sources define traditional schedules that are likely not to reflect the true occupancy of a given building. We construct traffic-based occupancy schedules which are more responsive to changes in mobility patterns, and which can realistically estimate occupant arrivals, departures, and counts in individual buildings.",

author = "Andy Berres and Brett Bass and New, {Joshua R.} and Piljae Im and Marie Urban and Jibonananda Sanyal",

note = "Publisher Copyright: {\textcopyright} International Building Performance Simulation Association, 2022; 17th IBPSA Conference on Building Simulation, BS 2021 ; Conference date: 01-09-2021 Through 03-09-2021",

year = "2022",

doi = "10.26868/25222708.2021.30744",

language = "English",

series = "Building Simulation Conference Proceedings",

publisher = "International Building Performance Simulation Association",

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booktitle = "BS 2021 - Proceedings of Building Simulation 2021",

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Berres, A, Bass, B, New, JR , Im, P , Urban, M & Sanyal, J 2022, Generating traffic-based building occupancy schedules in Chattanooga, Tennessee from a grid of traffic sensors. in D Saelens, J Laverge, W Boydens & L Helsen (eds), BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA. Building Simulation Conference Proceedings, International Building Performance Simulation Association, pp. 3616-3623, 17th IBPSA Conference on Building Simulation, BS 2021, Bruges, Belgium, 09/1/21. https://doi.org/10.26868/25222708.2021.30744

Generating traffic-based building occupancy schedules in Chattanooga, Tennessee from a grid of traffic sensors. / Berres, Andy; Bass, Brett; New, Joshua R. et al.
BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA. ed. / Dirk Saelens; Jelle Laverge; Wim Boydens; Lieve Helsen. International Building Performance Simulation Association, 2022. p. 3616-3623 (Building Simulation Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Building occupancy significantly impacts energy use, timing for demand impacts, and is a significant source of uncertainty in building energy models. There are relatively few sources that define building occupancy schedules and number of occupants per building or space type. More importantly, these sources define traditional schedules that are likely not to reflect the true occupancy of a given building. We construct traffic-based occupancy schedules which are more responsive to changes in mobility patterns, and which can realistically estimate occupant arrivals, departures, and counts in individual buildings.

AB - Building occupancy significantly impacts energy use, timing for demand impacts, and is a significant source of uncertainty in building energy models. There are relatively few sources that define building occupancy schedules and number of occupants per building or space type. More importantly, these sources define traditional schedules that are likely not to reflect the true occupancy of a given building. We construct traffic-based occupancy schedules which are more responsive to changes in mobility patterns, and which can realistically estimate occupant arrivals, departures, and counts in individual buildings.

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Berres A, Bass B, New JR , Im P , Urban M, Sanyal J. Generating traffic-based building occupancy schedules in Chattanooga, Tennessee from a grid of traffic sensors. In Saelens D, Laverge J, Boydens W, Helsen L, editors, BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA. International Building Performance Simulation Association. 2022. p. 3616-3623. (Building Simulation Conference Proceedings). doi: 10.26868/25222708.2021.30744

Generating traffic-based building occupancy schedules in Chattanooga, Tennessee from a grid of traffic sensors

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