Comparison of Near Neighbour and Neural Network in Travel Forecasting

Comparison of Near Neighbour and Neural Network in Travel Forecasting

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Article ID: iaor2016942
Volume: 35
Issue: 3
Start Page Number: 217
End Page Number: 223
Publication Date: Apr 2016
Journal: Journal of Forecasting
Authors:
Keywords: vehicle routing & scheduling, forecasting: applications, neural networks, programming: nonlinear, learning, time series: forecasting methods
Abstract:

In this paper we confirm the existence of nonlinear dynamics in a time series of airport arrivals. We subsequently propose alternative non‐parametric forecasting techniques to be used in a travel forecasting problem, emphasizing the difference between the reconstruction and learning approach. We compare the results achieved in point prediction versus sign prediction. The reconstruction approach offers better results in sign prediction and the learning approach in point prediction.

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