Demand Prediction and Supply–Demand Matching for University Shuttles Based on Ensemble Learning and Multi-Objective Optimization

Shuttle services are a fundamental service for faculty and students in universities. Aiming at the core challenges of “uncertain demand, limited resources, and supply–demand mismatching” in university shuttle services, this study proposes a shuttle demand prediction approach based on multi-algorithm...

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Autori principali:	Guiqin Li, Weisheng Xu, Xin Feng
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-04-01
Serie:	Applied Sciences
Soggetti:	shuttle resources demand prediction supply–demand matching data ensemble learning multi-objective optimization
Accesso online:	https://www.mdpi.com/2076-3417/16/9/4293
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