NHTSA is looking into Tesla's sudden braking issue
The National Highway Transportation Safety Administration (NHTSA) is probing Tesla for its “phantom braking” issue, which has raised numerous concerns amongst drivers. The agency is requesting the automaker respond by June 20.
The NHTSA has received 758 reports on the phantom braking issue, according to Reuters. A report from the NHTSA back in February stated, “complainants report that the rapid deceleration can occur without warning, at random, and often repeatedly in a single drive cycle.”
“Phantom braking” is when Autopilot is engaged and the vehicle slows down suddenly. The issue is particularly concerning on freeways where there may be little to no time for other drivers to react safely. It has raised concern for the drivers because it’s unpredictable.
The issue has become worse since May 2021 when Tesla started producing some vehicles without radar. Vehicles without radar or those that have transitioned to Tesla Vision rely solely on cameras for Autosteer and TACC.
The phantom braking issues have been around for several years. The issues started when Teslas were having accidents with tractor trailers crossing in front of them. Additionally, it happens more frequently at underpasses or when there are shadows on the road, which can be mistaken for the side of a truck.
This probe into Tesla’s Autopilot system comes after numerous complaints from Tesla owners, and Tesla dismissing the complaints.
According to Reuters, a Model Y owner reported to the NHTSA that the vehicle slowed down from 80mph to 69mph in less than a second.
“The car braked hard and decelerated from 80 mph to 69 mph in less than a second,” the owner wrote. “The braking was so violent, my head snapped forward and I almost lost control of the car.”
In May 2021, Elon Musk stated that removing the radar sensor would solve the “phantom braking” issue.
We anticipate Tesla will respond and explain what the cause of the issue is. Depending on the NHTSA’s ideal solution, Tesla may need to take the phantom braking issue more seriously and focus on fixing or minimizing the sudden braking through an OTA update.
This could potentially be done by using the data that Tesla has already gathered from its fleet, identifying when and where phantom braking happens most frequently, and then allowing the software to dictate whether it should use the brakes.
Personally, I have noticed my Model 3 braking for road signs that flash orange above the interstate. For example, a sign may have orange flashing lights to indicate that ice may be on the bridge. I’ve also noticed this when traffic lights are controlling the flow into an interstate from the on ramp in California. These instances, however, are more predictable and not as abrupt or sudden.
Tesla has always embraced whimsy in its software, packing it with playful Easter eggs and surprises. From transforming the on-screen car into James Bond’s submarine to the ever-entertaining Emissions Testing Mode and the fan-favorite Rainbow Road, these hidden features have become a signature part of Tesla’s software.
Of course, launching a new product like Robotaxi wouldn’t be complete without a fun little easter egg of its own. The end-of-ride screen in the Robotaxi app presents a familiar option “Leave a tip.”
For anyone pleased with their Robotaxi ride, they may be tempted to leave a tip. However, tapping the button presents our favorite hedgehog instead of a payment screen.
The app displays a message, alongside the familiar Tesla hedgehog, that simply states “Just kidding.”
While it's a fun prank, it’s also a nod to what Tesla really wants to do. They want to reinforce the economic advantage of an autonomous Robotaxi Network. Without a driver, there is simply no need to tip. The gesture is playful, but it’s a reminder of what Tesla’s real aim is here.
Over the last few days, we’ve seen some exceptionally smooth performance from the latest version of FSD on Tesla’s Robotaxi Network pilot. However, the entire purpose of an early access program with Safety Monitors is to identify and learn from edge cases.
This week, the public saw the first recorded instance of a Safety Monitor intervention, providing a first look at how they’re expected to stop the vehicle.
The event involved a complex, low-speed interaction with a reversing UPS truck. The Safety Monitor intervened to stop the Robotaxi immediately, potentially avoiding a collision with the delivery truck. Let’s break down this textbook case of real-world unpredictability.
The Intervention [VIDEO]
In a video from a ride in Austin, a Robotaxi is preparing to pull over to its destination on the right side of the road, with its turn signal active. Ahead, a UPS truck comes to a stop. As the Model Y begins turning into the spot, the UPS truck, seemingly without signaling, starts to reverse. At this point, the Safety Monitor stepped in and pressed the In Lane Stop button on the main display, bringing the Robotaxi to an immediate halt.
This is precisely why Tesla has employed Safety Monitors in this initial pilot. They are there to proactively manage ambiguous situations where the intentions of other drivers are unclear. The system worked as designed, but it raises a key question: What would FSD have done on its own? It’s not clear whether the vehicle saw the truck backing up, or what it would do when it finally detected it. It’s also unclear whether the UPS driver recognized that the Robotaxi was pulling into the same spot at the exact same time.
It’s possible this wouldn’t result in a collision at all, but the Safety Monitor did the right thing by stepping in to prevent a potential collision, even one at low speed. Any collision just a few days after the Robotaxi Network launch could result in complications for Tesla.
Who Would Be At Fault?
This scenario is a classic edge case. It involves unclear right-of-way and unpredictable human behavior. Even for human drivers, the right-of-way here is complicated. While a reversing vehicle often bears responsibility, a forward-moving vehicle must also take precautions to avoid a collision. This legal and practical gray area is what makes these scenarios so challenging for AI to navigate.
Would the Robotaxi have continued, assuming the reversing truck would stop?
Or would it have identified the potential conflict and used its own ability to stop and reverse?
Without the intervention, it’s impossible to say for sure. However, crucial context comes from a different clip involving, surprisingly, another UPS delivery truck.
A Tale of Two Trucks
In a separate video posted on X, another Robotaxi encounters a remarkably similar situation. In that instance, as another UPS delivery truck obstructs the path forward, the Robotaxi comes to a stop to let its two passengers out just a few feet from their destination.
Once they depart, the Robotaxi successfully reverses and performs a three-point turn to extricate itself from a tight spot. That was all done without human intervention, by correctly identifying the situation.
This second clip is vital because it proves that the Robotaxi's FSD build has the underlying logic and capability to handle these scenarios. It can, and does, use reverse to safely navigate complex situations.
Far from being a failure, this first intervention should be seen as a success for Tesla’s safety methodology. It shows the safety system is working, allowing monitors to mitigate ambiguous events proactively.
More importantly, this incident provides Tesla’s FSD team with an invaluable real-world data point.
By comparing the intervened ride with the successful autonomous one, Tesla’s engineers can fine-tune FSD’s decision-making, which will likely have a positive impact on its edge case handling in the near future.
This is the purpose of a public pilot — to find the final edge cases and build a more robust system, one unpredictable reversing truck at a time.
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