Occupancy inference using infrastructure elements in indoor environment: a multi-sensor data fusion

Higher Education Institutions (HEIs) are an indispensable part of the UK society. In 2011, the Higher Education Funding Council for England set a carbon reduction target of 43% by 2020, that most HEIs failed to meet. HEIs have a clear interest in improving student experience/comfort and their sustainability credentials. However, this research found that space management in HEI is clearly inefficient. This research represents the first phenomenological study in this field and identifies current practices in HEIs regarding their space/energy management. First, a traditional thematic literature review was completed, which found a clear gap on what data is collected and used to calculate the ventilation/heating/cooling by facilities managers at HEI. Then, semi-structured interviews were conducted with facilities management experts (n=10) based in HEIs. This study concludes that HEIs should calculate ventilation, heating and cooling loads working in geometry and real occupancy, as this will improve occupant comfort, enrich the student experience and increase energy efficiency. A building information modelling (BIM) platform could be adopted to integrate different systems so that building management systems (BMS) have enhanced access to time-sensitive space/energy data.

show abstract

Ultra-Wideband-Based Time Occupancy Analysis for Safety Studies

Fakhoury,

Ismail

2023

Sensors

View full text Add to dashboard Cite

This study investigates the use of ultra-wideband (UWB) tags in traffic conflict techniques (TCT) for the estimation of time occupancy in a real-world setting. This study describes UWB technology and its application in the TCT framework. Many experiments were conducted to evaluate the accuracy of the occupancy time measurement using a UWB-based tag. The UWB performance was measured using data from UWB tags as well as a video camera system by subtracting the time occupancy within a conflict zone. The results show that the UWB-based system can be utilized to estimate occupancy time with a mean absolute error difference from ground truth measurements of 0.43 s in the case of using two tags and 0.06 s in the case of using one tag in an 8 m × 8 m study area with double-sided two-way communication. This study also highlights the advantages and limitations of using UWB technology in TCT and discusses potential applications and future research directions. The findings of this study suggest that the UWB-based localization of multiple tags needs further improvements to enable consistent multi-tag tracking. In future work, this technology could be utilized to estimate post-encroachment time (PET) in various traffic scenarios, which could improve road safety and reduce the risk of collisions.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Occupancy inference using infrastructure elements in indoor environment: a multi-sensor data fusion

Cited by 3 publications

References 91 publications

Future trends in intelligent lighting control systems: Integrated technologies, multi-system linkage and AI integration

Future trends in intelligent lighting control systems: Integrated technologies, multi-system linkage and AI integration

Investigating the common practice of higher education institutions’ facility management

Ultra-Wideband-Based Time Occupancy Analysis for Safety Studies

Contact Info

Product

Resources

About