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PSO-GRNN-Based Adaptive Online Vehicle Velocity Prediction Strategy Considering Traffic Information
| 题名： | PSO-GRNN-Based Adaptive Online Vehicle Velocity Prediction Strategy Considering Traffic Information |
| 正文语种： | eng |
| 作者： | Dongwei Yao;Ziyan Zhang;Junhao Shen;Yuxi Li;Xinwei Lu;Feng Wu |
| 作者单位： | College of Energy Engineering Zhejiang Univ. Hangzhou 310000 China||College of Energy Engineering Key Laboratory of Smart Thermal Management Science and Technology for Vehicles of Zhejiang Province Taizhou 317200 China;College of Energy Engineering |
| 关键词： | Predictive energy management strategy; General regression neural network (GRNN); Traffic information fusion; Velocity prediction |
| 摘要： | In order to increase the online vehicle velocity prediction (VVP) strategy's forecast performance, an adaptive VVP strategy considering traffic signals is presented for multiple scenarios. Initially, the algorithm of a general regressive neural network (G |
| 出版年： | 2024 |
| 期刊名称： | Journal of Transportation Engineering, Part A. Systems |
| 卷： | 150 |
| 期： | 7 |
| 页码： | 04024027.1-04024027.12 |
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