#5934. Predictions of Taxi Demand Based on Neural Network Algorithms

August 2026publication date
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Journal’s subject area:
Engineering
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Abstract:
To increase the profit both of taxi drivers and operators, this paper proposes an approach that efficiently collects the features of a customized-shape dispatch area to build the multivariate time-series prediction models for forecasting taxi demands. We also considered population distribution obtained from IMSI (International Mobile Subscriber Identity) data as the spatial correlations feature. The predictive models are built on some neural network algorithms and analyzed statistically.
Keywords:
Neural networks; Taxi demand prediction; Taxi dispatch area

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