Wong, M.

An overview of deep learning strategies for choice modelling: current solutions and future directions

Speaker: Wong Melvin

Bridging machine learning and behaviour models, Alan Turing Institute

November 08, 2021

There have been a number of innovative approaches in utilizing deep learning strategies for choice modelling in recent years. These strategies, initially developed for deep neural networks to solve various computational and complexity problems, are now being applied to discrete choice modelling. In this 'quick-fire' presentation, I will present a brief overview of recent works which have incorporated deep learning methods into choice models, and subsequently, identify future challenges and opportunities for deep learning in choice modelling research.