Logistics distribution path optimization method and system based on short-term traffic flow prediction

The invention discloses a logistics distribution path optimization method and system based on short-time traffic flow prediction, which are characterized in that factors such as weather, road conditions, holidays and festivals and rush hours need to be considered based on traffic condition prediction, the distribution speed in actual distribution is improved, the logistics cost is reduced, and the economic benefit is improved. According to the technical scheme, the method comprises the steps of 1, collecting weather, time and traffic flow data; 2, processing the road condition data through a VGG model, and carrying out data preprocessing; 3, fitting a CNN-GRU prediction model based on a self-attention mechanism, and solving the model; 4, endowing a model prediction result in the step 3 with a road weight; and 5, solving an optimal path based on a taboo search algorithm of a dynamic weight adjustment strategy. 本发明公开了一种基于短时交通流预测的物流配送路径优化方法和系统，基于交通状况的预测需要考虑天气、路况、节假日和上下班高峰等因素，提高实际配送中配送速度、降低物流成本，提升经济效益。其技术方案为：步骤1：