case study

Planning for EV Charging Infrastructure

Understanding how electric vehicle owners interacted with the road network to plan for charging infrastructure in the future.

With a third of carbon emissions coming from transport, increasing EV ownership has become a strategy in trying to reduce emissions. One of the biggest challenges to increased EV ownership is to building enough infrastructure (e.g., charging stations) to help current EV owners as well as those who are hesitant in owning one due to range anxiety, especially on long trips as depicted in the images.

To prepare for these changes, the customer had a look at:

  • Trip times
  • The volume of cars
  • Battery charge percentages
  • Stopping locations and lengths
  • Number of EVs on the road
  • The type of vehicle
Hourly breakdown, trip times, distances, and volume data of vehicles travelling to Sydney.

By understanding these factors, they could build infrastructure to support the uptake of EVs in order to maximise charger utility.

Use cases

How our customers are using Connected Vehicle data

Applications of vehicle-generated data for use cases across state-wide freight modelling, origin-destination studies, VMS signage effectiveness, road safety, and local area traffic management.

Understanding the impacts of road closures on travel times

Understand the impacts of road closures on travel times

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The aftermath of closing down Daresbury Expressway.

Contraflow and the Impacts of Construction Sites

Identifying contraflow

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Contraflow on the Hume Highway through the Road Intelligence Platform.

Planning for EV Charging Infrastructure

How to use Compass IoT data to plan electric vehicle charging utilisation and infrastructure.

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Origin-destination study of electric vehicles travelling between Sydney and Newcastle.

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