As New Zealand works toward ambitious emissions reduction goals, the Ministry of Transport required a clear, data-driven picture of how the vehicle fleet’s efficiency changes over time. Official fleet statistics could not provide the same granularity or real-world operational context that telematics and customer fuel data could offer.

Our Approach:

• Data Aggregation – Merged GPS-based trip distance data with fuel consumption records from EROAD customers, then enriched each record with vehicle make, model, and age data.
• Efficiency Analysis – Calculated real-world fuel efficiency across vehicle segments, isolating patterns tied to vehicle ageing.
• Privacy and Anonymity – Applied strict aggregation and anonymisation methods to ensure no individual vehicle or operator could be identified, while retaining the statistical robustness of the dataset.

Impact:

• Detailed Efficiency Benchmarks – Revealed the performance gap between older and newer vehicles across different categories, highlighting the effect of fleet age on fuel use.
• Policy Development Support – Equipped the Ministry with high-quality, real-world evidence to underpin fleet efficiency measures in the emissions reduction plan.
• Targeted Emissions Strategies – Enabled the identification of the least efficient segments of the fleet, allowing for policy interventions aimed at maximising emissions reductions where they are most achievable.

By integrating high-resolution GPS data with fuel consumption records, this project provided the Ministry of Transport with the clearest picture yet of New Zealand’s fleet efficiency. These insights now help shape policies that support sustainable transport and a lower-emissions future.

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