Urban Travel Demand Forecasting
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TL;DR
This article discusses applications of artificial intelligence (AI) methods to urban travel demand forecasting and takes two perspectives: concepts perspective and methods perspective.
Abstract
This article discusses applications of artificial intelligence (AI) methods to urban travel demand forecasting. The article begins with an historical overview of urban travel demand forecasting. The discussion takes two perspectives: concepts perspective (i.e., how certain AI concepts could improve the current state of practice), and a methods perspective (i.e., which AI methods could be applied and how).