Estimation a Transit Route O-D Matrix Using On/Off Data:An Application of Modified BP Artificial Neural Network

A route O-D matrix is the base data for transit line designing and optimizing.This paper presents an OD estimation model,which applies a modified BP artificial neural network(ANN) to track the weights of OD pairs within a transit route using the number of boarding and alighting passengers at each stop.This paper details the key issues associated the(estimation) process,including constraints for OD estimation models,design of ANN,the learning and stopping rules,and the calibration of model parameters through computational experiment.The results of a rigorous validation with on/off data from a real bus route reveal that the proposed model is quite effective and reliable in estimating the OD matrix for identification of the underlying demand pattern of a transit route.