一项比较研究和简单的基线,用于旅行时间预测

Chuang-Chieh Lin1, Ming-Chu Ho2, Chih-Chieh Hung3

  • 1Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung City, 202301, Taiwan.

Scientific reports
|July 15, 2025
PubMed
概括

准确的旅行时间预测 (TTP) 在很大程度上依赖于数据预处理. 像LSTM和XGBoost这样的基本模型优于混合方法,从而产生了新的融合模型,以提高TTP准确性.

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