Case study

Identifying Spillback

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

On the M7 off-ramp at Glendenning, there is data that shows a number of rear-to-end crashes. Engineers theorise spillback might be the culprit, causing passing cars to brake or swerve harshly to avoid hitting cars in the exit lane.

By analysing car movement, swerving, and braking, Transurban found evidence of spillback onto the mainline that was causing drivers to swerve or brake violently to avoid a rear-to-end crash.

Data in Compass' Road Intelligence suite found that there was evidence of harsh brakes and swerving towards the right.

There is evidence of high g-forces at high speeds in this section of the road.
The X-acc graph shows intense braking across the speed range as well as sudden acceleration at higher speeds. The Y-acc graph shows very intense right turns at those high speeds.

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.

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

Identifying Pinch Points

Analysis on Heathcote Road, over the Woronora Bridge, to find pinch points that pose a safety risk and impact traffic flow.

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Example of varying messaging sign.

Effects of Varying Messaging Signs

How changing the wording on varying messaging signs can affect drivers’ behaviour.

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The Cahill Expressway as seen in Brakepoint.

A Study on Curve Advisory

Analysing and identifying risk to drivers and impacts stemming from infrastructure design using the Cahill Expressway.

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