Application of Grey Prediction Model to Short-time Passenger Flow Forecast

摘要

The forecast of passenger flow related to the economic and social benefits of transit enterprise is one of the vehicle dispatching problems which should be solved. This paper put forward a time-division forecasting method of passenger flow. Combining this method with grey system theory, we build a grey prediction model GM(1,1). Its correctness has been tested by some residual test and posterior-variance-test. The method is suitable to the passenger flow forecast of a trip, with high prediction accuracy.