Big data prediction method of traffic logistics demands based on regional differences

Aiming at the optimisation effect of traditional methods on logistics transportation, and the inaccurate prediction of logistics demand, this paper proposes a big data forecasting method for traffic logistics demand based on regional differences. Based on the regional differences, a linear statistical programming model for the prior data of traffic logistics demand data is established. On this basis, the association rule feature decomposition...