A novel fuzzy system-based genetic algorithm for trajectory segment generation in urban global positioning system
The proposed FGA offers an effective and adaptive solution for trajectory segment generation in urban GPS system. Future work will explore enhancing its scalability, robustness to noise, and rule generalization across diverse datasets.
Authors
- Hongjiang Ma
- Worawit Tepsan (ORCID: https://orcid.org/0000-0001-6423-9633)
- Xiangbing Zhou
- Xiaojuan Ran
- Naret Suyaroj (ORCID: https://orcid.org/0000-0003-3488-4943)
- Wu Deng (ORCID: https://orcid.org/0000-0002-6524-6760)
- Lei Mu
Institutions
- University of Electronic Science and Technology of China (CN)
- Civil Aviation University of China (CN)
- Sichuan Tourism University (CN)
- Chengdu University (CN)
- Yibin University (CN)
- Chiang Mai University (TH)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-06-06
- DOI
- https://doi.org/10.1016/j.jare.2025.06.007
- Citations
- 20
- Primary Topic
- Human Mobility and Location-Based Analysis
- Type
- article
- Field-Weighted Citation Impact
- 43.53