integrate-road-network
CommunityIncorporate real street networks into VRP tasks.
Authordudusoar
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables seamless integration of real-world street networks into VRP workflows, allowing researchers and practitioners to base routing problems on authentic geographic data rather than synthetic distances.
Core Features & Use Cases
- OSM-based network loading: import real street graphs from OpenStreetMap data for a given area.
- Network distance and time matrices: compute network-based distances and travel times between depot, pickups, and deliveries.
- PDPTW instance creation: assemble VRP instances from mapped network nodes for PDPTW routing experiments.
- Tutorial-ready workflows: provides end-to-end guidance for loading data, mapping locations, and solving with VRP toolkits.
Quick Start
Install required Python packages (osmnx, geopandas, shapely, fiona, pyproj) via conda or pip, then run a simple workflow to load a campus area, map locations to network nodes, compute distance matrices, and build a PDPTW instance ready for solving.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: integrate-road-network Download link: https://github.com/dudusoar/VRP-Toolkit/archive/main.zip#integrate-road-network Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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