Picture this: A Formula One driver is hot on the tail of a rival. As he approaches a straightaway, a light flashes on the dash. With the press of a button on the steering wheel, a rear flap on the car is activated, allowing him to hit top speed. In a wash of sparks, he passes his rival into the next turn, sliding up a spot on the leaderboard.
Overtaking is one of the most important strategies in automotive racing—and it’s also one of the most data driven, with complex technology powering the sequence of events just described.
Let’s look at the drag reduction system (DRS) and how it works.
How DRS Works
DRS has been around since 2011 when it was introduced to improve overtaking in racing. Let’s take a quick look at how it works:
- DRS is a rear flap on the car. When the flap is opened using a button in the cockpit, it reduces drag—meaning, aerodynamics are improved, allowing up to a 20km increase.
- Cars can only use DRS in specific zones. Every track has DRS zones in strategic places that typically end in a turn that requires hard braking for safety purposes.
- Cars can only activate their DRS when they’re within a second of the car in front. Defending cars can only deploy DRS if there’s a car in front of them, too.
- Once the gas pedal is lifted, DRS is deactivated, lowering the flap.
So, how do drivers know if they’re within a second of each other when they’re using only their eyes and ears? That’s where data comes in.
How Data Travels Around Racing Circuit Networks
There’s more flying around grand prix circuits than the cars. On race days, data travels between tracks’ complex networks and data centers at incredible speeds. Cars are data-driven machines as well. Together, they create a real-time feedback loop that makes DRS possible.
First, every circuit has “loops”—wires that act as antennas, recording data as each car passes. Loops can do a lot in the data-driven course of a race: They can detect lap times, monitor how drivers respond to safety flags and other regulations, and signal DRS. Loops are peppered around the track: at the start and finish line, timing loops staggered every hundred meters or so, and at DRS detection zones.
Detection zones are a brief stretch at the start of the DRS zone, marked by signs along the edge of the track. Loops generate data about the speed of and the distance between cars as they pass.
Finally, every car has a transponder attached to its bodywork. Transponders have microchips encoded with a unique ID number assigned to a driver’s number, then an antenna for transmission of data. When the transponder receives the signal that it’s eligible to overtake, the light pops on (or there’s a beep) and it’s up to the driver to activate DRS and make his move.
Formula One cars might be the fastest on the planet, but that’s some seriously fast data.
Will DRS Be as Important with 2022 Cars?
DRS made headlines a lot in the last few years—but will it be as critical to race strategies with the new 2022 cars?
Earlier, we described the science behind the new cars and how their design creates more downforce, which theoretically would mean the cars could go faster on straights and make overtaking easier outside of DRS zones alone. (The 2022 cars are built to have more downforce without as much reliance on the wings, like suction cups that hold cars down to the surface of the track.)
It remains to be seen, but many predict DRS will make less of an impact than it has in the past. Stay tuned to see if the data indicates DRS will stay—and perhaps other aerodynamic elements will become adjustable as well.
When Milliseconds Matter
You can imagine the implications of that data not traveling fast enough.
Drivers are unable to overtake with DRS if the system malfunctions—or, more likely, if DRS is disabled. This could happen for safety reasons, for example, if the track is wet due to weather conditions, or for the regulated two laps after a safety car is deployed.
At Pure Storage, we know fast analytics and agile data are key to our customers’ success. The most ambitious innovators need data that moves as fast as they do, and numerous use cases in high-powered computing and automation demonstrate the incredible potential for this tech when data can keep up. These fast-paced innovators include the Mercedes-AMG Petronas F1 team, who use FlashArray™ and FlashBlade® technology to power trackside analytics.
Keep an eye out for some intense overtaking this season, and learn more about how the Mercedes-AMG Petronas F1 team wins with instinct driven by data.