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. The 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 choosing 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.
Estimating a Transit Route OD Matrix from On-Off Data through an Artificial Neural Network Method
Ninth International Conference on Applications of Advanced Technology in Transportation (AATT) ; 2006 ; Chicago, Illinois, United States
2006-08-04
Conference paper
Electronic Resource
English
Estimating a Transit Route OD Matrix from On-Off Data through an Artificial Neural Network Method
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