Abstract
Knowledge of the occupancy of campuses or buildings is important in order to deploy and distribute resources. Likewise, knowledge of the directions and types of movement of people and vehicles is important for urban planners, governments, facilities managers, etc. This disclosure describes techniques to derive real-time and long-term occupancy and people-movement data based on information received from devices. Such data can be utilized by a variety of customers, such as insurers, facilities managers, urban planners, governments, property owners, etc.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Greene, Michael, "Analyzing crowdsourced location data to trigger actions", Technical Disclosure Commons, (February 13, 2017)
https://www.tdcommons.org/dpubs_series/391