A random-utility-consistent machine learning method to estimate agents’ joint activity scheduling choice from a ubiquitous data set
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DOI: 10.1016/j.trb.2022.11.005
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- Xiyuan Ren & Joseph Y. J. Chow & Venktesh Pandey & Linfei Yuan, 2024. "Integrating an agent-based behavioral model in microtransit forecasting and revenue management," Papers 2408.12577, arXiv.org.
- Xiyuan Ren & Joseph Y. J. Chow & Prateek Bansal, 2023. "Estimating a k-modal nonparametric mixed logit model with market-level data," Papers 2309.13159, arXiv.org, revised Aug 2024.
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Keywords
Activity scheduling choice; Utility maximization; Inverse optimization; Big data; Machine learning;All these keywords.
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