Modern linked vehicles are far more like computers on wheels, when in contrast to the dumb cars that dominated the twentieth century.
Today’s connected automobiles arrive stocked with as lots of as 200 onboard sensors, tracking anything from motor temperature to seatbelt standing. And all people sensors build reams of data, which will maximize exponentially as the autonomous driving revolution gathers tempo.
With carmakers scheduling on uploading 50-70% of that details, this has major implications for policymakers, suppliers, and area community infrastructure.
In this visualization from our sponsor Worldwide X ETFs, we check with the query: will linked vehicles crack the web?
Knowledge is a Plural Noun
Just how considerably details could it possibly be?
There are a lot of estimates out there, from as significantly as 450 TB per day for robotaxis, to as small as .383 TB for every hour for a minimally related motor vehicle. This visualization adds up the outputs from sensors observed in a standard related motor vehicle of the future, with at least some self-driving abilities.
The emphasis is on the sorts of sensors that an automatic car or truck could possibly use, for the reason that these are the knowledge hogs. Sensors like the a person that turns on your look at-oil-light-weight possibly doesn’t generate that much information. But a 4K digital camera at 30 frames a next, on the other hand, produces 5.4 TB for every hour.
|Sensor||Sensors for each Vehicle||Knowledge Created|
|Vehicle Motion, GNSS/GPS, IMU||n/a||<0.1 Mbit/s|
|Total Data||3-40 Gbit/s/vehicle|
All together, you could have somewhere between 1.4 TB and 19 TB per hour. Given that U.S. drivers spend 17,600 minutes driving per year, a vehicle could produce between 380 and 5,100 TB every year.
To put that upper range into perspective, the largest commercially available computer storage—the 100 TB SSD Exadrive from Nimbus—would be full in 5 hours. A standard Blu-ray disc (50 GB) would be full in under 2 seconds.
Lag is a Drag
The problem is twofold. In the first place, the internet is better at downloading than uploading. And this makes sense when you think about it. How often are you uploading a video, versus downloading or streaming one?
Average global mobile download speeds were 30.78 MB/s in July 2022, against 8.55 MB/s for uploads. Fixed broadband is much higher of course, but no one is suggesting that you connect really, really long network cables to moving vehicles.
Ultimately, there isn’t enough bandwidth to go around. Consider the types of data traffic that a connected car could produce:
- Vehicle-to-vehicle (V2V)
- Vehicle-to-grid (V2G)
- Vehicles-to-people (V2P)
- Vehicles-to-infrastructure (V2I)
- Vehicles-to-everything (V2E)
The network just won’t be able to handle it.
Moreover, lag needs to be relatively non-existent for roads to be safe. If a traffic camera detects that another car has run a red light and is about to t-bone you, that message needs to get to you right now, not in a few seconds.
Full to the Gunwales
The second problem is storage. Just where is all this data supposed to go? In 2021, total global data storage capacity was 8 zettabytes (ZB) and is set to double to 16 ZB by 2025.
One study predicted that connected cars could be producing up to 10 exabytes per month, a thousand-fold increase over current data volumes.
At that rate, 8 ZB will be full in 2.2 years, which seems like a long time until you consider that we still need a place to put the rest of our data too.
At the Bleeding Edge
Fortunately, not all of that data needs to be uploaded. As already noted, automakers are only interested in uploading some of that. Also, privacy legislation in some jurisdictions may not allow highly personal data, like a car’s exact location, to be shared with manufacturers.
Uploading could also move to off-peak hours to even out demand on network infrastructure. Plug in your EV at the end of the day to charge, and upload data in the evening, when network traffic is down. This would be good for maintenance logs, but less useful for the kind of real-time data discussed above.
For that, Edge Computing could hold the answer. The Automotive Edge Computing Consortium has a plan for a next generation network based on distributed computing on localized networks. Storage and computing resources stay closer to the data source—the connected car—to improve response times and reduce bandwidth loads.
Invest in the Future of Road Transport
By 2030, 95% of new vehicles sold will be connected vehicles, up from 50% today, and companies are racing to meet the challenge, creating investing opportunities.
Learn more about the Global X Autonomous & Electric Vehicles ETF (DRIV). It provides exposure to companies involved in the development of autonomous vehicles, EVs, and EV components and materials.
And be sure to read about how experiential technologies like Edge Computing are driving change in road transport in Charting Disruption. This joint report by Global X ETFs and the Wall Street Journal is also available as a downloadable PDF.