Data for "Opportunistic Truck-Based Recharging for Flexible-Docking Truck-Drone Delivery in Quick-commerce Urban Fulfillment"

Published: 25 June 2026| Version 2 | DOI: 10.17632/844wzkfjn3.2
Contributor:
Min-Yang Li

Description

This dataset supports the manuscript “Opportunistic Truck-Based Recharging for Flexible-Docking Truck–Drone Delivery in Quick-Commerce Urban Fulfillment.” It contains generated quick-commerce truck–drone routing instances, policy configurations, parameter files, random seeds, raw and processed computational outputs, and analysis scripts for evaluating fixed-station, truck-only, and hybrid station–truck partial-recharging policies. The package includes inputs and outputs for the matched GA policy-evaluation matrix, reduced-scope MILP/GA decoder checks, multistart robustness analyses, density-controlled experiments, targeted outlier audits, and scripts used to reproduce the main manuscript tables and supplementary summaries. The instances are controlled generated scenarios designed for computational logistics replication; no proprietary platform transaction data or personal data are included.

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Categories

Operations Research, Vehicle Routing Problem, Mathematical Optimization, Logistics, Drone Delivery

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