Prediction model of intelligent connected vehicles driving behavior based on deep learning multi network fusion
The accurate prediction of driving intention and driving tracks of surrounding vehicles is the basis to ensure the safe driving of Intelligent Connected Vehicles in complex road scenes.This paper proposes a driving intention and behavior prediction model of intelligent connected vehicles based on BLSTM-DCG-ATT BOOTS by combining Bi-directional Long