![]() The Automotive Edge Computing Consortium has a plan for a next generation network based on distributed computing on localized networks. This would be good for maintenance logs, but less useful for the kind of real-time data discussed above.įor that, Edge Computing could hold the answer. Plug in your EV at the end of the day to charge, and upload data in the evening, when network traffic is down. Uploading could also move to off-peak hours to even out demand on network infrastructure. Also, privacy legislation in some jurisdictions may not allow highly personal data, like a car’s exact location, to be shared with manufacturers. As already noted, automakers are only interested in uploading some of that. One study predicted that connected cars could be producing up to 10 exabytes per month, a thousand-fold increase over current data volumes.Īt 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.įortunately, not all of that data needs to be uploaded. 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. 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. Moreover, lag needs to be relatively non-existent for roads to be safe. The network just won’t be able to handle it. Consider the types of data traffic that a connected car could produce: Ultimately, there isn’t enough bandwidth to go around. Fixed broadband is much higher of course, but no one is suggesting that you connect really, really long network cables to moving vehicles. How often are you uploading a video, versus downloading or streaming one?Īverage global mobile download speeds were 30.78 MB/s in July 2022, against 8.55 MB/s for uploads. And this makes sense when you think about it. ![]() In the first place, the internet is better at downloading than uploading. A standard Blu-ray disc (50 GB) would be full in under 2 seconds. 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. drivers spend 17,600 minutes driving per year, a vehicle could produce between 380 and 5,100 TB every year. ![]() ![]() SensorĪll together, you could have somewhere between 1.4 TB and 19 TB per hour. But a 4K camera at 30 frames a second, on the other hand, produces 5.4 TB per hour. Sensors like the one that turns on your check-oil-light probably doesn’t produce that much data. The focus is on the kinds of sensors that an automated vehicle might use, because these are the data hogs. This visualization adds up the outputs from sensors found in a typical connected car of the future, with at least some self-driving capabilities. There are lots of estimates out there, from as much as 450 TB per day for robotaxis, to as little as 0.383 TB per hour for a minimally connected car. In this visualization from our sponsor Global X ETFs, we add up the data produced by connected cars. With carmakers planning on uploading 50-70% of that data, this has serious implications for policymakers, manufacturers, and local network infrastructure. And all those sensors create reams of data, which will increase exponentially as the autonomous driving revolution gathers pace. Today’s connected cars come stocked with as many as 200 onboard sensors, tracking everything from engine temperature to seatbelt status. Modern connected cars are almost like computers on wheels.
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