SN Data
Description
This dataset supports the experiments reported in the manuscript and consists of four main components. （1）It includes a de-identified and processed order dataset containing 4,107 logistics orders and a vehicle dataset containing 500 vehicles. To protect commercial confidentiality and personal privacy, sensitive information such as cargo categories, exact customer addresses, vehicle license plates, and driver information has been removed. Customers are represented by anonymized customer IDs, and vehicles are represented by vehicle IDs. (2) The dataset provides a distance matrix among the anonymized order locations, which is used as the spatial input for route optimization and scheduling experiments. (3)Because the proposed model considers a vehicle routing problem under zero-carbon-zone constraints, the dataset includes the relevant part of the freight-vehicle traffic restriction policy of Wuhan, Hubei Province, China, as considered in the manuscript. (4)For the dynamic scheduling component, the dataset provides the simulation logic, event-generation rules, response-generation procedure, and pseudocode used to generate dynamic events and response data. These dynamic response data were generated through software-based algorithmic simulation under predefined scenarios rather than being collected from real-time operational systems.