Created using an accurate 3d model of the city, we start the viewer with a high altitide view of the city, giving them a sense of scale and an overview of the setting.

Driving on the road network at their feet are simulated vehicles (shown in white).

The sensor data being generated from the cars as they move through the city is represented with particles of different colours that rise out of the grid to be collected in the cloud.

The first scene illustrates how ultrasonic sensors on a vehicle can be used to scan the side of the road as it drives through the city, Providing the ‘ground truth’ of the parking situation. By aggregating these sensor feeds, they can be used to build a more accurate, statistical model of spot availability.

The scene starts with a single car, then shows how an availability map may look in that neighborhood, and how it changes over time.

By taking advantage of the accuracy of modern positioning systems and sensor data such as speed, and braking events it is possible to plot very precisely the start and end of traffic segments.

Rather than simply colouring a road based on the ‘flow speed’ we show the formation of a slow moving ‘traffic snake’ on the freeway entering the city. By warning approaching vehicles to adjust their speed before they reach the tail we improve safety.

Jumping to a lower viewpoint of the inner city, we see how the front facing cameras and image recognition can be used to detect and report changes in signage on the road network.

This shows that all connected vehicles can benefit, from the information collected by those vehicle that have more advanced sensor equipment. Once the data is shared accross the cloud, it becomes available to anyone who needs it.

Now moving over to the riverside, we see a patch of icy road. By reporting wheel slippage, traction control and braking events from the vehicle sensors it’s possible to detect and measure the size of potential road hazard.

Sharing this information to cloud, allows us to provide the safest route though the city, and to advise those who many be entering adverse driving conditions.

The final view in our VR experience was to put the viewer into wonder woman’s invisible jet, or in this case, invisible car. For each of the previous scenes we take a look at the underlying sensors in the vehicle to give people a better understanding of the data sources