Journal of System Simulation
Abstract
Abstract: Arming at the decreased positioning accuracy caused by the environment dynamic change of indoor positioning system, an error compensation algorithm based on XGBoost fusion elastic net is proposed. XGBoost positioning model is used to make a preliminary prediction on the target position. When the indoor environment changes, the elastic net algorithm is used to construct an error compensation model to correct the positioning error of XGBoost positioning model. The experimental results show that when only 15% of the fingerprint database samples need to be updated, the positioning accuracy of the proposed algorithm is controlled in 0.73m at the 80% percentile, which is significantly better than those of the K-nearest neighbor (KNN), support vector machine (SVM), random forest (RF) and gradient boosting decision tree (GBDT) positioning algorithms, and the accuracy increases 25.5% than XGBoost.
Recommended Citation
Ma, Qinglu; Zhang, Lin; Yuan, Xinxin; and Liu, Fengjie
(2022)
"Continuous Simulation Technology for Multi-State Evolution of Urban Road Traffic,"
Journal of System Simulation: Vol. 34:
Iss.
4, Article 20.
DOI: 10.16182/j.issn1004731x.joss.20-0896
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss4/20
First Page
847
Revised Date
2021-03-12
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0896
Last Page
855
CLC
TP396
Recommended Citation
Qinglu Ma, Lin Zhang, Xinxin Yuan, Fengjie Liu. Continuous Simulation Technology for Multi-State Evolution of Urban Road Traffic[J]. Journal of System Simulation, 2022, 34(4): 847-855.
DOI
10.16182/j.issn1004731x.joss.20-0896
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