Visible to the public Real-time Urban Population Monitoring Using Pervasive Sensor Network

TitleReal-time Urban Population Monitoring Using Pervasive Sensor Network
Publication TypeConference Paper
Year of Publication2016
AuthorsThakur, Gautam S., Kuruganti, Teja, Bobrek, Miljko, Killough, Stephen, Nutaro, James, Liu, Cheng, Lu, Wei
Conference NameProceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4589-7
Keywordscompositionality, Human Behavior, location privacy, Metrics, population dynamics, pubcrawl, Resiliency, Sensors, spectral monitoring, Transportation, wireless networks
Abstract

It is estimated that 50% of the global population lives in urban areas occupying just 0.4% of the Earth's surface. Understanding urban activity constitutes monitoring population density and its changes over time, in urban environments. Currently, there are limited mechanisms to non-intrusively monitor population density in real-time. The pervasive use of cellular phones in urban areas is one such mechanism that provides a unique opportunity to study population density by monitoring the mobility patterns in near real-time. Cellular carriers such as AT&T harvest such data through their cell towers; however, this data is proprietary and the carriers restrict access, due to privacy concerns. In this work, we propose a system that passively senses the population density and infers mobility patterns in an urban area by monitoring power spectral density in cellular frequency bands using periodic beacons from each cellphone without knowing who and where they are located. A wireless sensor network platform is being developed to perform spectral monitoring along with environmental measurements. Algorithms are developed to generate real-time fine-resolution population estimates.

URLhttp://doi.acm.org/10.1145/2996913.2996937
DOI10.1145/2996913.2996937
Citation Keythakur_real-time_2016