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ANU model links slower autonomous freight with electric truck economics

ANU research suggests autonomous operation could improve the economics of battery-electric long-haul freight by making lower travelling speeds more commercially attractive.

ANU research suggests autonomous operation could improve the economics of battery-electric long-haul freight by making lower travelling speeds more commercially attractive.

Anthony Wiskich’s study models a Sydney–Melbourne freight task. Reducing the time cost associated with a driver changes the cost-minimising speed; lower energy demand can then allow smaller batteries or fewer charging stops.

The model puts the resulting improvement in battery trucks’ competitiveness against diesel at roughly the equivalent of a A$50 per kWh reduction in battery pack prices. That is a modelling comparison, not an observed purchase discount or fleet saving.

The assumptions matter

The finding depends on depot electricity remaining materially cheaper than charging en route. The paper also identifies limitations in its single-trip approach and treatment of driver rest stops, and does not assess the safety consequences of speed differences.

ANU first released the working paper in December 2025. It is research receiving fresh attention, rather than a newly announced Australian deployment or government commitment.

Sources: ANU research summary and working paper.

Related: Gatik’s driverless middle-mile operations.