Vehicle speed multi-time scale prediction method, system and device, medium and terminal

The invention belongs to the technical field of vehicle speed prediction, and discloses a vehicle speed multi-time scale prediction method, system and device, a medium and a terminal.The vehicle speed multi-time scale prediction method comprises the following steps that historical driving data is preprocessed, and a sub-database is established; training a long short-term memory (LSTM) neural network in an off-line manner, and establishing speed prediction sub-models facing different working conditions; and performing online multi-step speed prediction, identifying a driving mode in real time through fuzzy C-means clustering (FCM), and selecting a pre-trained LSTM speed prediction sub-model for prediction. The traditional speed prediction method cannot realize identification and self-adaption of different driving modes, the prediction accuracy is improved, and the method can realize accurate prediction of the vehicle motion state under the complex driving condition. The speed prediction method provided by the