case study

Planning for EV Charging Infrastructure with OD

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
  • Battery charge percentages
  • Stopping locations and lengths
  • Number of EVs on the road
  • The type of vehicle

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.

Identifying Pinch Points on the road network

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Visual representation of a pinch point on the Heathcote Road Bridge. Purple represents vehicles decelerating and yellow represents acceleration.

Impacts of road closures on travel times

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The aftermath of closing down Daresbury Expressway.

Origin-Destination data for Rat Running

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How cars travel between Archbold Road and Clive Street during evening peak hours.

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