News
Tesla rolls out latest Safety Score update—Here’s what’s new
Tesla’s latest Safety Score update drops one highly criticized factor, while adding weight to pieces like speeding, follow distance, and more.
Tesla has officially started rolling out a new version of its insurance program’s Safety Scores beta, improving upon a few different metrics that make up the index.
As detailed on the Tesla Insurance web page, the company has updated its Safety Scores to beta version 2.2 from the previous version 2.1. The update primarily includes improvements to how Excessive Speeding is measured, along with the removal of Forward Collision Warnings (FCW) from the formula.
In addition, Tesla has slightly increased the values of related factors such as Hard Braking and Unsafe Following Time in the v2.2 formula, perhaps in an attempt to help accommodate some of the situations previously covered by the FCW rating.
READ MORE ON TESLA INSURANCE: Tesla launches insurance discount for FSD users in these two states
Tesla’s Safety Scores are used to determine premium rates for buyers of the company’s in-house insurance program, except in California, where privacy laws prohibit the use of real-time driving data to determine premiums. The company also says that its latest formula for Safety Scores were generated using over 22 billion miles of fleet data from its cars, while the company plans to continue improving the formula as more data comes in.
At this time, Tesla Insurance is available in the following 12 states, though Safety Scores aren’t available in California for the aforementioned reason:
- Arizona
- California
- Colorado
- Illinois
- Maryland
- Minnesota
- Nevada
- Ohio
- Oregon
- Texas
- Utah
- Virginia
You can see the factors that make up Tesla’s Insurance Safety Scores below or on its website here, along with the specific formula that makes up a drivers’ 0 to 100 Safety Score.
Hard Braking
Credit: Tesla
Hard braking is defined as backward acceleration, measured by your Tesla vehicle, in excess of 0.3g. This is the same as a decrease in the vehicle’s speed larger than 6.7 mph, in one second. Hard braking is introduced into the Safety Score Beta formula as the proportion of time where the vehicle experiences backward acceleration greater than 0.3g as a percentage of the proportion of time the vehicle experiences backward acceleration greater than 0.1g (2.2 mph in one second). Hard braking while on Autopilot is not factored into the Safety Score Beta formula. For vehicles with Autopilot computer 3.0 or greater, braking while the vehicle detects yellow traffic lights is also not factored into the Safety Score Beta formula. If the vehicle is unable to detect a yellow traffic light at the time of the hard braking, the event will impact your Safety Score. The percentage shown in the app is the proportion of time spent braking done with excessive force when driving and Autopilot is not engaged. The value is capped at 5.2 percent in the Safety Score Beta formula.
Aggressive Turning
Credit: Tesla
Aggressive turning is defined as left/right acceleration, measured by your Tesla vehicle, in excess of 0.4g. This is the same as an increase in the vehicle’s speed to the left/right larger than 8.9 mph, in one second. Aggressive turning is introduced into the Safety Score Beta formula as the proportion of time the vehicle experiences left or right acceleration greater than 0.4g as a percentage of the proportion of time the vehicle experiences left or right acceleration greater than 0.2g (4.5 mph in one second). Aggressive turning while on Autopilot is not factored into the Safety Score Beta formula. The percentage shown in the Tesla app is the proportion of time spent turning with excessive force when driving and Autopilot is not engaged. The value is capped at 13.2 percent in the Safety Score Beta formula.
Unsafe Following
Credit: Tesla
Your Tesla vehicle measures its own speed, the speed of the vehicle in front and the distance between the two vehicles. Based on these measurements, your vehicle calculates the number of seconds you would have to react and stop if the vehicle in front of you came to a sudden stop. This measurement is called “headway.” Unsafe following is the proportion of time where your vehicle’s headway is less than 1.0 seconds relative to the time that your vehicle’s headway is less than 3.0 seconds. Unsafe following is only measured when your vehicle is traveling at least 50 mph and is incorporated into the Safety Score Beta formula as a percentage. Unsafe following while on Autopilot is not factored into the Safety Score Beta formula. The percentage shown in the Tesla app is the percentage of unsafe following when driving and Autopilot is not engaged. The value is capped at 63.2 percent in the Safety Score Beta formula.
Excessive Speeding
Credit: Tesla
Excessive Speeding is defined as the proportion of time spent driving in excess of 85 mph or driving 20% faster than the vehicle in front of you, when that vehicle is going over 25 mph and is within 100 meters of your vehicle. This value is expressed as a percentage of total driving time and is capped at 10.0% in the Safety Score Beta formula. Speeding while on Autopilot is not factored into the Safety Score Beta formula.
Late-Night Driving
Credit: Tesla
Late-Night Driving is defined as the number of seconds you spend driving at night (11 PM – 4 AM) divided by the number of seconds you spend driving total during the day and night. Due to the variable risk level associated with driving during each late-night hour, each hour is weighed differently, and driving at each hour will affect your Safety Score differently. For example, driving at 11 PM will not affect your Safety Score as heavily as driving at 2 AM. Drive sessions that span two days will apply to the day the trip ends. Late-Night Driving includes all driving at night (11 PM – 4 AM) including any driving done on Autopilot. The value is capped at 14.2 percent in the Safety Score Beta formula.
Forced Autopilot Disengagement
Credit: Tesla
The Autopilot system disengages for the remainder of a trip after the driver has received three audio and visual warnings. These warnings occur when your Tesla vehicle has determined that the driver has not applied sufficient resistance to the steering wheel or has become inattentive. Forced Autopilot Disengagement is introduced into the Safety Score Beta formula as a 1 or 0 indicator. The value is 1 if the Autopilot system is forcibly disengaged during a trip, and 0 otherwise.
Unbuckled Driving
Credit: Tesla
Unbuckled Driving is defined as the proportion of time spent driving above 10 mph without fastening the driver’s seatbelt in a Tesla vehicle, as a percentage of time spent driving above 10 mph. The value shown in the Tesla app is the proportion of time driven at a speed over 10 mph, without buckling the driver’s seatbelt, as a percentage of time spent driving over 10 mph. The value is capped at 31.7 percent in the Safety Score Beta formula.
Tesla’s formula for Safety Score beta v2.2
Tesla takes the formula pictured below, dubbed its Predicted Collision Frequency (PCF), and converts it into the 0 to 100 version 2.2 Safety Score it assigns based on driver behavior. The 2.1 Safety Score formula can also be seen on the Tesla Insurance page, though the below formula is for the newly launched version 2.2.
Credit: Tesla
A new report from Reuters claims that a transport authority in Sweden is pushing back against the approval of Tesla’s Full Self-Driving suite because it will travel over speed limits.
The report says the Swedish Transport Administration (TRV) recommends the European Union votes against FSD’s approval. TRV believes it should not be approved until Tesla disables FSD’s ability to speed.
TRV sent a letter to the European Union’s Technical Committee on Motor Vehicles (TCMV), which is set to meet on June 30 to discuss the potential approval of the Tesla FSD suite in the country. Tesla, which has received various approvals in Europe over the past two months, has not provided a comment.
Teslas operating on FSD do travel over the speed limit, depending on the Speed Profile that is chosen. Drivers have the ability to disengage FSD at any point; Tesla specifically states that those supervising the suite are responsible for its actions.
Let’s cut to the chase: humans operating any vehicle speed almost daily in the United States. Realistically, speed limits in the U.S. are more frequently treated as speed minimums. However, other countries are different, and driving behaviors are less aggressive.
TRV believes that “allowing automated systems to systematically exceed legal speed limits…risks undermining both the legal framework and the expected safety benefits of vehicle automation,” the report stated. It’s surprising that Tesla has not received this claim from other countries previously.
This could be a good argument to bring Max Speed back, the setting that previously allowed the driver to choose the absolute fastest the car would travel.
This would still put the responsibility of supervision in the hands of the driver. It would allow the driver to choose whether the car would travel over the speed limit or not, acknowledging that they set the speed, and if they get pulled over, there would be no ability to argue it.
However, it does not seem as if this is something Tesla will do, especially considering many U.S. drivers have requested the feature in an effort to eliminate speeding or at least tone it down. The company has not shown any interest in bringing it back.
Tesla has approvals for FSD in Europe in Estonia, Lithuania, Denmark, the Netherlands, and Belgium.
Tesla is going to let you guide Full Self-Driving with Grok in 3 months, CEO Elon Musk confirmed on X.
The response from Musk, which revealed Tesla plans to allow drivers to effectively control the car and its navigation more explicitly using Grok, puts the feature for about September.
A Tesla owner said that Full Self-Driving is great, but owners should be able to “converse with Grok like we can with an Uber driver.” She then used examples like, “Grok, turn right here,” and “Drop us off right here, we’ll walk due to traffic,” and finally,” Drop at entrance first, then park far away.”
Coincidentally, the final piece of dialogue would also mean features like Banish are potentially on the way soon.
This functionality will be there in about 3 months or so
— Elon Musk (@elonmusk) June 18, 2026
Banish is also referred to as “Reverse Summon,” and would enable the car to self-park while dropping occupants off at their destination.
This would be a great way to improve the overall experience while supervising FSD. Navigation is already a major painpoint that many owners complain about. Manual overrides when a maneuver is requested or canceled (like using the turn signal stalk to override a navigation route), do not always work.
The feature could be especially useful in street parking scenarios in a city, where spots are sometimes tough to come by. Many of us who grab dinner in a more populated area will park a street or two over from wherever we’re going, because sometimes you know that’s the best you will get. If a driver using FSD could say, “Hey Grok, turn right here on Queen St. and park in that open spot on the right,” it could save a lot of confusion FSD might have on its own.
Musk teased that a similar feature was “coming” back in February:
Tesla Full Self-Driving set to get an awesome new feature, Elon Musk says
It is certainly surprising that Tesla is doing it at this point. The company’s more recent moves have been more evident of taking control and inputs away from humans and putting them in the AI’s hands more frequently. The biggest example of this was taking away Max Speed in AI4 cars, giving us Speed Profiles, and not having any input on the fastest speed the car will travel.
Of course, giving navigation preferences to Grok is availble already in Teslas, but not at the drop of a hat. Instead, you can suggest a certain route at the beginning of your drive.
Here’s an example of that from December:
🚨🏈 I am taking my parents and Fiancee to the @Ravens game next weekend and asked @Grok to help me route my @Tesla through a specific neighborhood to reach the correct Lot we will park in.
This is a great example of the new @grok nav integration with the Tesla Holiday Update: pic.twitter.com/rPp4I7q8Yv
— TESLARATI (@Teslarati) December 13, 2025
Finally, the original post that Musk responded to mentioned a parking preference after dropping off the occupants, which describes the Banish feature that Tesla has teased for years.
We’re not sure if Musk was responding more to the ability to guide the car with Grok, or whether he also was including Banish in the three-month prediction timeframe.
A close-up image of a Cybercab engineering vehicle in Peabody, Massachusetts, reveals a compact triangular side repeater camera housing equipped with an integrated washer mechanism.
This seemingly small hardware addition could prove to be one of the most critical components for achieving reliable, unsupervised Full Self-Driving (FSD) — not just for the dedicated Robotaxi but potentially for existing AI4-equipped vehicles as well.
The washer system’s importance cannot be overstated in Tesla’s vision-only autonomy approach. Cameras are the sole sensory input for the neural networks powering FSD, constantly interpreting the environment for safe navigation. In real-world conditions, however, lenses quickly accumulate rain, snow, mud, dust, or road spray.
Many of us Tesla owners, especially those who deal with any sort of winter weather at all, know the all-too-common alert that pops up when cameras are obstructed:
Even brief obstructions can drop perception confidence, trigger safety disengagements, or force the vehicle to pull over, although these are relatively rare. Instead, most of the time, the camera will need a wipe from the owner next time they stop the car.
But unlike human drivers who can manually clear their view, a Robotaxi operating 24/7 without a steering wheel or mirrors must maintain pristine vision autonomously. The Cybercab’s side repeater washer delivers targeted cleaning bursts precisely where needed for merging, lane changes, and blind-spot monitoring — functions that demand uninterrupted visibility from the external cameras:
And this is how the side camera and washer look like on a Cybercab. This is from an Engineering vehicle in Peabody MA. pic.twitter.com/Re8VknpmLM
— Tobias Goebel (Unsupervised) (@tpgoebel) June 17, 2026
This hardware directly tackles a known pain point in current FSD deployments. Owners frequently report camera-related alerts during inclement weather, which is understandable, but needs to be solved for a true autonomous experience.
For a production Robotaxi fleet aiming for high utilization and minimal downtime, robust washer systems represent a foundational reliability upgrade; essentially, they’re a must-have. Early sightings suggest the design may extend to rear cameras as well, creating a comprehensive cleaning architecture that keeps the entire vision suite operational in harsh environments.
Without it, even the most advanced neural nets struggle when their “eyes” are compromised.
What Does This Mean for AI4 Cars?
This Cybercab detail raises timely questions for AI4 cars already on the road. While Hardware 4 delivers superior compute and camera resolution compared to earlier versions, production models typically lack dedicated side and rear washers. Tesla has included them on Model Y robotaxis that it is using in the fleet:
Tesla Robotaxi has a highly-requested hardware feature not available on typical Model Ys
As Tesla refines unsupervised FSD for broader release, the gap in environmental resilience becomes evident. Software improvements can help mitigate issues, but they cannot fully replace physical cleaning in heavy rain or muddy conditions. Analysts and owners increasingly speculate that AI4 vehicles may eventually require similar washer retrofits — or a future AI4.5 variant — to match the Cybercab’s all-weather readiness and support the same level of autonomy.
As testing progresses, the Cybercab’s washer mechanism highlights Tesla’s pragmatic focus on real-world robustness. It may well become the hardware piece that determines how quickly and reliably FSD scales from prototypes to everyday vehicles.
Tesla faces Full Self-Driving pushback in EU over ‘speeding’
Tesla teases greater Grok FSD integration and ‘Banish’ feature ‘in about 3 months’
