Hourly pedestrian population trends estimation using location data from smartphones dealing with temporal and spatial sparsity-Reference-Cited by-同舟云学术

Hourly pedestrian population trends estimation using location data from smartphones dealing with temporal and spatial sparsity

Published:2014-11-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Author:

Nishi Kentaro¹,Tsubouchi Kota²,Shimosaka Masamichi¹

Affiliation:

1. the University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan

2. Yahoo Japan Corporation, Akasaka, Minato-ku, Tokyo, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2666310.2666391

Reference16 articles.

1. ZENRIN Datacom (in Japanese). http://lab.its-nio.com/densityniap/index.html. ZENRIN Datacom (in Japanese). http://lab.its-nio.com/densityniap/index.html.

2. Spatial and Spatio-temporal Data Mining

3. Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome

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