التفاصيل البيبلوغرافية
| العنوان: |
Tailored Hidden Markov Model: A Tailored Hidden Markov Model Optimized for Cellular-Based Map Matching. |
| المؤلفون: |
Chen, Renhai1 renhai.chen@tju.edu.cn, Yuan, Shimin1 shimin_yuan@tju.edu.cn, Ma, Chenlin2 chenlin.ma@szu.edu.cn, Zhao, Huihui1 zhh_@tju.edu.cn, Feng, Zhiyong1 zyfeng@tju.edu.cn |
| المصدر: |
IEEE Transactions on Industrial Electronics. Dec2022, Vol. 69 Issue 12, p13818-13827. 10p. |
| مصطلحات موضوعية: |
*MARKOV processes, *CELL phones, HIDDEN Markov models, LOCALIZATION (Mathematics), MEASUREMENT errors, GLOBAL Positioning System |
| مصطلحات جغرافية: |
TIANJIN (China) |
| مستخلص: |
Although the GPS-based positioning is ubiquitous for its high precision, the high power consumption brought by the high sampling frequency and the poor GPS signal penetration limits its availability in locating low-power mobile devices (especially mobile phones). As a promising complement, the cellular-based positioning has attracted great attention since it consumes much less power as well as its higher availability. However, the sparsity of cellular-based data (due to lower sampling rate) and large localization errors make the measurement accuracy becomes the main challenge of the cellular-based positioning. hidden Markov model can well solve the problem of positioning error of GPS data, but it is less accurate when applied to map matching of cellular-base data. Therefore, to improve accuracy, in this article, we propose a novel algorithm called the tailored hidden Markov model (THMM) that is optimized for the cellular-based data. Specifically, the geometric, the topological, and the probabilistic characteristics have been considered and fully exploited in the THMM design. Our proposed schemes are evaluated using real-world motor vehicle movement trajectories collected in Tianjin and the experimental results are encouraging compared with the state-of-the-art algorithms. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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