CityTracker: Citywide Individual and Crowd Trajectory Analysis Using Hidden Markov Model-Reference-Cited by-同舟云学术

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CityTracker: Citywide Individual and Crowd Trajectory Analysis Using Hidden Markov Model

Published:2019-09-01 Issue:17 Volume:19 Page:7693-7701
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Fang Shih-Hau^ORCID,Lin Larry,Yang Yi-Ting,Yu Xiaotong,Xu Zhezhuang^ORCID

Funder

Ministry of Science and Technology, Taiwan

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/8789581/08714007.pdf?arnumber=8714007

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of human mobility behavior in Smart Cities and Smart Environments: A systematic literature review and taxonomy;Journal of Smart Cities and Society;2024-09-06

2. Crowd Detection System & Prediction Analysis;2023 International Conference on Advanced Computing Technologies and Applications (ICACTA);2023-10-06

3. Sensing Technologies for Crowd Management, Adaptation, and Information Dissemination in Public Transportation Systems: A Review;IEEE Sensors Journal;2023-01-01

4. Multi-trajectory prediction of 5G network for smart grid based on Transformer;2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE);2022-05-27

5. Time-Dependent Visiting Trip Planning with Crowd Density Prediction Based on Internet of Things Localization;IEEE Transactions on Mobile Computing;2022

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