Using automatic passenger counter data in bus arrival time prediction

Document Type

Article

Publication Date

1-1-2007

Abstract

Artificial neural networks have been used in a variety of prediction models because of their flexibility in modeling complicated systems. Using the automatic passenger counter data collected by New Jersey Transit, a model based on a neural network was developed to predict bus arrival times. Test runs showed that the predicted travel times generated by the models are reasonably close to the actual arrival times.

Identifier

34548780987 (Scopus)

Publication Title

Journal of Advanced Transportation

External Full Text Location

https://doi.org/10.1002/atr.5670410304

ISSN

01976729

First Page

267

Last Page

283

Issue

3

Volume

41

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