Case study

Planning for EV Charging Infrastructure

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

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.

Crow distance travelled by specified commercial vehicles around South-East Queensland.

Origin-Destination

A study outlining the origin and destination of 20 million Commercial vehicles trips across southeast Queensland.

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Street view of Castlereagh Highway in Ben Bullen prior the train level crossing (going southbound).

Identifying dangerous train level crossings

Analysing driver behaviour at Ben Bullen to determine infrastructure and driver safety levels at the local train level crossing.

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Visual representation of movement along the M7 at Glendenning and at the offramp.

Identifying Spillback

Transurban analysed driver behaviour to identify spillback, congestion, and how it affects road users.

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