Arxiv research paper proposing regime-calibrated demand priors for ride-hailing fleet optimization. Addresses vehicle dispatch and repositioning challenges through demand forecasting techniques. Technical contribution to operational research in mobility platforms.
Research
Regime-Calibrated Demand Priors for Ride-Hailing Fleet Dispatch and Repositioning
Regime-calibrated demand forecasting improves ride-hailing fleet efficiency by dynamically optimizing vehicle dispatch and repositioning decisions based on adaptive demand prediction.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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