MyJournals Home  

RSS FeedsSensors, Vol. 18, Pages 3431: A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data (Sensors)


13 october 2018 20:01:18

Sensors, Vol. 18, Pages 3431: A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data (Sensors)

Accurate, real-time and fine-spatial population distribution is crucial for urban planning, government management, and advertisement promotion. Limited by technics and tools, we rely on the census to obtain this information in the past, which is coarse and costly. The popularity of mobile phones gives us a new opportunity to investigate population estimation. However, real-time and accurate population estimation is still a challenging problem because of the coarse localization and complicated user behaviors. With the help of the passively collected human mobility and locations from the mobile networks including call detail records and mobility management signals, we develop a bimodal model beyond the prior work to better estimate real-time population distribution at metropolitan scales. We discuss how the estimation interval, space granularity, and data type will influence the estimation accuracy, and find the data collected from the mobility management signals with the 30 min estimation interval performs better which reduces the population estimation error by 30% in terms of Root Mean Square Error (RMSE). These results show us the great potential of using bimodal model and mobile phone data to estimate real-time population distribution. Digg Facebook Google StumbleUpon Twitter
24 viewsCategory: Chemistry, Physics
Sensors, Vol. 18, Pages 3432: LiDAR-Based Non-Cooperative Tumbling Spacecraft Pose Tracking by Fusing Depth Maps and Point Clouds (Sensors)
Sensors, Vol. 18, Pages 3430: The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs (Sensors)
blog comments powered by Disqus
The latest issues of all your favorite science journals on one page


Register | Retrieve



Use these buttons to bookmark us: Digg Facebook Google StumbleUpon Twitter

Valid HTML 4.01 Transitional
Copyright © 2008 - 2019 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Travel Photos Nachrichten Indigonet Finances Leer Mandarijn