A class-specific soft voting framework for customer booking prediction in on-demand transport

Volume: 114, Pages: 377 - 390
Published: May 1, 2020
Abstract
Customer booking prediction is essential for On-Demand Transport services, especially for those in rural and suburban areas where the demand is low, variable and often regarded as unpredictable. Existing literature tends to focus more on the prediction of demand for traffic, classical public transport, and urban On-Demand Transport service such as taxi, Uber or Lyft, in areas with higher and less variable demand, in which popular time-series...
Paper Details
Title
A class-specific soft voting framework for customer booking prediction in on-demand transport
Published Date
May 1, 2020
Volume
114
Pages
377 - 390
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