A hybrid Markov-based model for human mobility prediction-Reference-Cited by-同舟云学术

A hybrid Markov-based model for human mobility prediction

Published:2018-02 Issue: Volume:278 Page:99-109
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Qiao Yuanyuan,Si Zhongwei,Zhang Yanting,Abdesslem Fehmi Ben,Zhang Xinyu,Yang Jie

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference63 articles.

1. A.R. Carrión, Contributions to the understanding of human mobility and its impact on the improvement of lightweight mobility prediction algorithms, Universidad Carlos III de Madrid, 2016.

2. Mobile user movement prediction using bayesian learning for neural networks;Akoush,2007

3. Estimating human trajectories and hotspots through mobile phone data;Hoteit;Comput. Netw.,2014

4. Trip destination prediction based on past gps log using a hidden markov model;Alvarez-Garcia;Expert Syst. Appl.,2010

5. Predicting future locations with hidden markov models;Mathew,2012

Cited by 63 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. Combining the spatiotemporal mobility patterns and MMC for next location prediction of fake base stations;Computational Urban Science;2024-08-26

2. Mobility Prediction Using Markov Models: A Survey;2024 7th International Conference on Informatics and Computational Sciences (ICICoS);2024-07-17

3. Cross- and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction;ACM Transactions on Spatial Algorithms and Systems;2024-07-09

4. Coupling graph neural networks and travel mode choice for human mobility prediction;Physica A: Statistical Mechanics and its Applications;2024-07

5. Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data;Transportmetrica B: Transport Dynamics;2024-04-04