Supporting Data for: "Commuter Carpooling Matching Model Based on Saving-Genetic Algorithm" - Commuter Locations and Travel Distance Matrix in Changchun

This dataset provides the core data supporting the manuscript entitled "Commuter Carpooling Matching Model Based on Saving-Genetic Algorithm", enabling the implementation and validation of the proposed carpool matching model.The data comprises two key files:1.Commuter Location Coordinates: Contains the geographic coordinates (latitude and longitude) of commuter origins and destinations (drivers and passengers) in Changchun City.2.Travel Distance Matrix: Provides the real-road-network travel distances between all location pairs. This matrix serves as the direct input for calculating the distance "Saving" and driving the Genetic Algorithm optimization.This dataset allows other researchers to reproduce the paper's findings and can be reused for broader transportation optimization and vehicle routing problem studies.