Software + Tools

PΔP was created in 2013 and since then different versions have been developed in Australia and Hong Kong using different algorithm development techniques such as time-series models and statistical learning (more commonly known as machine learning).

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The PΔP (Power-Delta-Power) vehicle emissions tool uses an innovative approach to predict motor vehicle energy use, fuel consumption, air pollutant emissions and greenhouse gas emissions at a high resolution (second-by-second). The PΔP software is a vehicle emissions impact assessment tool that uses high resolution emissions data from laboratory or on-road emission measurements (PEMS) to calibrate prediction algorithms.

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PΔP quantifies the impacts of traffic and operational conditions on energy use (electric vehicles) and emissions, including, but not limited to:

 

• congestion

• signals/roundabouts

• signal settings (actuated, coordination)

• variable speed limits

• road gradient

• route optimisation

• vehicle loading

• logistics optimisation

• connected and autonomous vehicles

• tunnel design (air flow, road-gradient effects).

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PΔP publications can be found here.

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