SYSTEMS AND METHODS FOR ROUTE PLANNING BASED ON DEEP CONVOLUTIONAL NEURAL NETWORK

The preset application discloses a method for route planning. At least one device including at least one processor and a storage may implement the method. The method may include one or more of the following operations. The device may first obtain a start location and a destination, road characteristic information and a plurality of historical routes. The device may then train a model based on the plurality of historical routes. Then the device may run the trained model to sequentially determine a plurality of road intersections between the start location and the destination, and a target entrance and target exit that corresponding to each of the plurality of the road intersections based on characteristic information. Finally, the device may generate a recommended route from the start location to the based on the target entrances and target exits.