The objective was to link Auckland Transport’s loop counter data to real-world vehicle type patterns, enabling more nuanced traffic analysis and infrastructure planning.
Our Approach:
- GIS Location Ingestion – Imported Auckland Transport’s in-ground loop GIS locations and integrated them with EROAD GPS data to precisely map vehicle movements over loops.
- Data Cleaning & Validation – Identified and corrected inaccurate loop location data through extensive validation, ensuring the integrity of subsequent analysis.
- Vehicle Composition Analysis – Classified and quantified the types of vehicles crossing each loop to build a detailed profile of road usage by vehicle type.
Key Findings:
- Accurate Composition Profiles – Delivered high-confidence insights into the proportion of light vehicles, heavy trucks, and other categories for each loop location.
- Improved Loop Deployment Strategy – Identified potential sites for new loops based on high-traffic, diverse vehicle composition areas.
- Enhanced Network Intelligence – Provided context to loop counts, enabling more targeted transport planning and operational decisions.
Impact:
- Data-Driven Planning – Enabled Auckland Transport to prioritise loop installation and upgrades in locations where additional monitoring would be most valuable.
- Better Traffic Flow Management – Vehicle composition insights supported more effective congestion management and road use strategies.
- Infrastructure Optimisation – Ensured future loop deployments are strategically placed for maximum monitoring value.
