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 language | English (US) |
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Pages (from-to) | 267-283 |
Number of pages | 17 |
Journal | Journal of Advanced Transportation |
Volume | 41 |
Issue number | 3 |
DOIs | |
State | Published - 2007 |
All Science Journal Classification (ASJC) codes
- Automotive Engineering
- Economics and Econometrics
- Mechanical Engineering
- Computer Science Applications
- Strategy and Management