Using automatic passenger counter data in bus arrival time prediction

Mei Chen, Jason Yaw, Steven I. Chien, Xiaobo Liu

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)267-283
Number of pages17
JournalJournal of Advanced Transportation
Volume41
Issue number3
DOIs
StatePublished - Jan 1 2007

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Economics and Econometrics
  • Mechanical Engineering
  • Computer Science Applications
  • Strategy and Management

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