Platform logistics transportation path planning method based on time-sensitive demand online learning

• Main Authors: LIU PENGLIN, ZHANG YUXIN, JIANG SONGCHEN, HUANG MIN, XU HONGLIANG
• Format: Patent
• Language: Chinese; English
• Published: 20.09.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a platform logistics transportation path planning method based on time-sensitive demand online learning, and relates to the technical field of logistics. According to the method, the relationship between the performance time and the demand mean value in the time-sensitive demand and the online data generated in the platform operation process are considered, online learning of the client time-sensitive demand can be realized based on the online data, and platform logistics transportation path planning is further performed by using the time-sensitive demand function obtained by learning. Compared with a traditional transportation path planning method, the method can effectively describe the relationship between the customer demand and the performance time, enables the description of the customer demand to be more accurate, facilitates the design of a transportation path planning scheme which enables the platform to achieve the maximum income, and avoids the misalignment of the transportat