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Software + Tools

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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).

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.

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).

PΔP publications can be found here.

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