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crowdshipping

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Este repositorio contiene dos proyectos de análisis estadístico aplicados al sistema de entrega basado en Crowdshipping. A través de simulación y herramientas estadísticas, se exploran distribuciones de tiempos de llegada, muestreo y pruebas de hipótesis para optimizar la logística urbana.

  • Updated Dec 15, 2024
  • Jupyter Notebook

We propose a logistics strategy that conducts the shipping service by crowdsourced drivers or riders and use smart lockers to send, receive, and transship packages. Our framework will calculate the best one or multi-hop shipping plan that matches the best crowds and shipping requests while satisfying the time window and detour constraints.

  • Updated May 7, 2023
  • Jupyter Notebook

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