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20172023
most citedAn investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service

29 citations · 43 across the 3 of their papers we have counts for

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Showing 2020 · stat.MEShow all

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stat.ME2020★ 14 cited

Bayesian inference for transportation origin-destination matrices: the Poisson-inverse Gaussian and other Poisson mixtures

Konstantinos Perrakis, Dimitris Karlis, Mario Cools +1

In this paper we present Poisson mixture approaches for origin-destination (OD) modeling in transportation analysis. We introduce covariate-based models which incorporate different…