Searching rooms with top-k passenger flows using indoor trajectories-Reference-Cited by-同舟云学术

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Searching rooms with top-k passenger flows using indoor trajectories

Published:2024-08-23 Issue:1 Volume:27 Page:
ISSN:2948-2992
Container-title:Discover Computing
language:en
Short-container-title:Discov Computing

Author:

Yin Hongbo,Yang Donghua,Zhang Kaiqi,Gao Hong,Li Jianzhong

Funder

National Natural Science Foundation of China

Opening Project of Intelligent Policing Key Laboratory of Sichuan Province, China

Natural Science Foundation of Chongqing, China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10791-024-09457-2.pdf

Reference35 articles.

1. Jenkins PL, Phillips TJ, Mulberg EJ, Hui SP. Activity patterns of Californians: use of and proximity to indoor pollutant sources. Atmospheric Environ Part A Gen Top. 1992;26(12):2141–8.

2. Klepeis NE, Nelson WC, Ott WR, Robinson JP, Tsang AM, Switzer P, Behar JV, Hern SC, Engelmann WH. The national human activity pattern survey (nhaps): a resource for assessing exposure to environmental pollutants. J Expo Sci Environ Epidemiol. 2001;11(3):231–52.

3. Li H, Lu H, Chen X, Chen G, Chen K, Shou L. Vita: a versatile toolkit for generating indoor mobility data for real-world buildings. Proc VLDB Endow. 2016;9(13):1453–6.

4. Li H, Lu H, Shou L, Chen G, Chen K. In search of indoor dense regions: an approach using indoor positioning data. IEEE Trans Knowl Data Eng. 2018;30(8):1481–95.

5. Li H, Lu H, Shou L, Chen G. In search of indoor dense regions: an approach using indoor positioning data. 2019; 2127–2128.

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