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Using automatic passenger counter data in bus arrival time prediction |
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| Authors: | Mei Chen Jason Yaw Steven I. Chien Xiaobo Liu |
| Affiliation: | 1. Mei Chen, Department of Civil Engineering, University of Kentucky, Lexington, KY, USA;2. Jason Yaw, Daft McCune Walker, Inc., Towson, MD, USA;3. Steven I. Chien, Department of Civil & Environmental Engineering, New Jersey Institute of Technology, Newark, NJ, USA;4. Xiaobo Liu, Interdisciplinary Program in Transportation, New Jersey Institute of Technology, Newark, NJ, USA |
| 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. |
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