Application of Grey Prediction Model in Predicting Highway Passenger Volume
Highway passenger volume is a key indicator for measuring the level of economic development in a region,and has a profound impact on guiding regional transportation and road network planning.In the face of the challenge of predicting passenger volume with limited time series samples,a deep comparison was made between the predictive performance of the grey GM(1.1)model and the grey Verhulst model.After strict verification by actual cases,it was found that the grey Verhulst model exhibited lower error rates and higher prediction accuracy,making it an ideal choice for predicting highway passenger volume in Linxia Prefecture.Based on the superior performance of this model,the grey Verhulst model was used to make forward-looking predictions of the highway passenger volume in Linxia Prefecture from 2023 to 2025.This not only provides valuable reference for the construction of transportation infrastructure in the region,but also provides key economic data support for the feasibility assessment of new highway projects.
transportationpassenger volumegrey GM(1.1)modelVerhulst model
NETL
NSTL
万方数据
