Study on the elevator traffic distribution estimation

Abstract

The elevator traffic distribution is the essential and basis data for elevator traffic configuration, traffic pattern categorization and recognition, traffic forecasting and learning. The maximizing entropy model is proposed to estimate origin-destination passenger flow matrix of elevator system with the destination hall call system, making fully use of hall call information and in-out passenger datum, and a matrix-based chromosome coded genetic algorithm is introduced to solve the model. A practical example shows its validity.