Estimating Passenger Demand Using Machine Learning Models: A Systematic Review
Adjei Boateng,
Charlse Anum Adams,
Emmanuel Kofi Akowuah
Abstract:This article investigated machine learning models used to estimate passenger demand. These models have the potential to provide valuable insights into passenger trip behaviour and other inferences. The estimate of passenger demand using machine learning model research and the methodologies used are fragmented. To synchronise these studies, this paper conducts a systematic review of machine learning models to estimate passenger demand. The review investigates how passenger demand is estimated using machine lear… Show more
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