The Insurance Institute for Highway Safety (IIHS) tested Tesla Autopilot safeguards and found that drivers are pretty quick to adapt to the windows of opportunity the suite gives after warning them to pay attention.
The IIHS study sought to determine whether partially automated driving systems and their safeguards increase driver attentiveness. With the rollout of more advanced driver assistance systems (ADAS) and semi-autonomous driving functionalities, the goal is to increase safety.
However, these suites still require the driver to pay attention and be aware of any potential opportunity to take over if needed. These driving systems and features are designed to increase safety but still require the driver’s full attention, hence their semi-autonomous label.
Credit: Tesla
For the study, the IIHS tested both Tesla Autopilot safeguards and those available in Volvo’s Pilot Assist.
The study gave 14 drivers a month with a 2020 Tesla Model 3 and required them to travel on Autopilot, when available, over one month. The IIHS wanted to see how drivers behaved leading up to, during, and after attention reminders prompted by a lack of focus on their end.
The Autopilot study found that drivers could learn safeguard sequences and identify “windows of opportunity” to perform non-driving-related tasks. These vehicles still utilized an Autopilot nag and a torque sensor to monitor whether the driver was paying attention. Failure to keep hands on the steering wheel would result in attention reminders.
Failure to change after the reminders would result in suspension of the Autopilot system, commonly referred to as “Autopilot jail.”
The study found:
“In total, the volunteers drove a little more than 12,000 miles with Autopilot engaged. During that time, they triggered 3,858 attention-related warnings from the partial automation system. About half of those alerts occurred when they had at least one hand on the steering wheel but were apparently not moving it enough to satisfy the torque sensor.”
Most warnings did not go past the initial reminder, and only 72 instances resulted in the driver not responding fast enough to prevent the alerts from escalating.
The study found that while initial warnings increased by 26 percent over the first four weeks, showing drivers were prone to expect it, escalations fell by 64 percent, meaning they did not allow the system to continue warning them.
However, this does not mean that non-driving secondary activities stopped after the first warning. Instead, the study showed something interesting:
“The researchers found that the drivers did nondriving secondary activities, looked away from the road, and had both hands off the wheel more often during the alerts and in the 10 seconds before and after them as they learned how the attention reminders worked. The longer they used the system, the less time it took them to take their hands off the wheel again once the alerts stopped.”
The IIHS admits that the safety impact of the change is hard to measure. While the agency noted that some research shows the longer a driver allows their attention to wander, the more likely they will be involved in an accident, the study also said that “even short lapses of attention become so frequent that the periods of supposed engagement between them have little value.”
The study also said the safeguards can be beneficial to behavior immediately and in the longer term, and other patterns showed potentially unintended consequences:
“The current study has shown that driver interactions with partial automation are dynamic. Some of the changes we observed indicate that system safeguards can beneficially shape behavior both immediately and in the longer term, whereas other patterns revealed potentially unintended consequences. It is important to note that these findings are likely not unique to Tesla’s Autopilot, as many systems on the market have overtly similar safeguard designs. As such, some observations from this study maybe relevant to other driver assistance technology that still requires the driver to be engaged in the driving task.”
IIHS Senior Research Scientist Alexandra Mueller, who led the study, said:
“These results show that escalating, multimodal attention reminders are very effective in getting drivers to change their behavior. However, better safeguards are needed to ensure that the behavior change actually translates to more attentive driving.”
While this study provides evidence that perhaps better safeguards are needed, it is important to note that Tesla has upgraded the in-cabin camera to monitor driver attentiveness.
Tesla activates cabin-facing camera in bid to improve vehicle safety
Additionally, many cars are on the road without these driver assistance and safety features.
Distracted driving is going to occur whether a vehicle is equipped with modern technology or not.
Tesla and other automakers have brought their newest vehicles up to speed in the fight against distracted driving, and perhaps this study showed that warnings could and should come at varying rates to prevent anticipation from drivers.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
Tesla launched its fastest Full Self-Driving Speed Profile with the v14.1.2 Software Update on Wednesday, as “Mad Max” mode has overtaken “Hurry” as the most spirited travel option on FSD.
On Wednesday evening, Tesla’s Head of AI, Ashok Elluswamy, teased that the v14.1.2 Software Update would be released to those drivers in the Early Access Program (EAP). He said it was a “much-awaited feature.”
Tesla just teased something crazy with the next Full Self-Driving update
Many people, myself included, believed it would be the introduction of “Banish,” which would be a perfect complement to the Actually Smart Summon (ASS) suite, as it would find a parking spot and park itself after dropping you off at the front door of your destination.
However, Elluswamy’s post on X finished with two emojis: one a race car, the other being smoke behind the car.
FSD v14.1.2, going to early access today, will debut a much awaited feature 🏎️💨
— Ashok Elluswamy (@aelluswamy) October 15, 2025
On Wednesday night, we received the v14.1.2 software update to the new Model Y, which revealed that “Mad Max” mode was the new addition:
BREAKING: Tesla Full Self-Driving v14.1.2 is here!
MAD MAX MODE is here! pic.twitter.com/AKM2VwxiXV
— TESLARATI (@Teslarati) October 16, 2025
The release notes state that:
“Introduced new speed profile MAD MAX, which comes with higher speeds and more frequent lane changes than Hurry.”
It is pretty interesting that Tesla would introduce yet another speed profile that is even faster and more aggressive than “Hurry.” Personally, I’ve found Hurry to be realistic in terms of other drivers and their aggressiveness, speed of travel, and overall lane change behavior, especially on interstates.
Mad Max mode will be an interesting adjustment.
Tesla CEO Elon Musk first talked about Mad Max mode back in 2018 in posts on X, first mentioning the feature with the Tesla Semi:
It’s real pic.twitter.com/L9h3F86Guo
— Elon Musk (@elonmusk) June 25, 2018
Musk then teased Mad Max mode in 2019 with an early Autopilot update, stating that it would be an ideal option for aggressive traffic seen in places like Los Angeles. There was formerly a mode of the same name back in the late 2010s:
Are you on Mad Max Mode? This may be too meek for places like the LA Freeway …
— Elon Musk (@elonmusk) April 6, 2019
Now that it’s here, we’ll be testing it very soon and giving you a good idea of what to expect when it releases to others in the coming weeks.
Update 9:56 p.m. ET: We got it…
Tesla launches ‘Mad Max’ Full Self-Driving Speed Profile, its fastest yet
Tesla just teased something crazy with the next Full Self-Driving update, which will be released to Early Access Program (EAP) members today.
Tesla just recently released the v14 Full Self-Driving update, and it followed up just a few days later with v14.1.1.
The subsequent release helped refine a handful of things, especially an issue with stuttering at intersections and overall indecisiveness, but it was more of a smoothing over of the initial v14.1 Full Self-Driving release.
However, on Wednesday evening, Tesla’s Head of AI, Ashok Elluswamy, said that the company would be releasing v14.1.2 to EAP members today, and that it would “debut a much-awaited feature.”
He followed that up with a racecar emoji and a smoke emoji, potentially hinting toward something speed-related. However, it could mean something totally different.
FSD v14.1.2, going to early access today, will debut a much awaited feature 🏎️💨
— Ashok Elluswamy (@aelluswamy) October 15, 2025
Some suggested it was potentially a new Speed Profile that could rank above the “Hurry” option, but that seems unnecessary. As far as other features that have been teased, one that definitely comes to mind is the “Banish” feature that was recently teased by CEO Elon Musk.
Banish is essentially the finishing touch to Tesla’s Actually Smart Summon (ASS), which launched earlier this year.
While ASS will bring your car to your location using the Tesla app on your phone, Banish does just the opposite by dropping you off at the door of your destination and finding a parking spot on its own.
Elon Musk teases ‘Banish’ feature to pair perfectly with Summon
This was recently teased by Musk yet again, as he said earlier this month that Full Self-Driving would be capable of it very soon.
Based on what we’ve seen out of v14.1 and v14.1.1, there is some potential that Banish could be released and could be the feature that Elluswamy is hinting toward, although there is no direct evidence of that.
Luckily, I was able to get into the EAP, so as the feature is released and the Release Notes are available, we’ll be able to report on exactly what feature is on the way.
Tesla benefits from an incentive program in Texas that has become active following the loss of the $7,500 EV tax credit, which was a significant advantage for EV drivers.
In Texas, the State Commission on Environmental Quality has a grant program for light-duty motor vehicles that are either purchased or leased by consumers.
Referred to as the Light-Duty Motor Vehicle Purchase or Lease Incentive Program (LDPLIP), the program opened on October 13 and provides grants for consumers who want to buy new energy vehicles.
Will Tesla thrive without the EV tax credit? Five reasons why they might
The program allows for grants of up to $2,500 for electric or hydrogen fuel cell vehicles.
These are the eligibility criteria:
- Individuals or entities who purchase or lease an eligible vehicle on or after September 1, 2025, and who apply for or acquire title and registration of the vehicle in Texas
- Applicants must have taken possession of the vehicle before applying
- Applicants must commit to operating and registering the vehicle in Texas for at least one year
Additionally, the car must:
- Be included on the TCEQ Eligible Vehicle List
- Be new and must not have been the subject of any prior retail sale or lease
- Have a gross vehicle weight rating of 10,000 pounds or less
They are awarded on a first-come, first-served basis.
The good news is that Tesla’s entire vehicle lineup, as of October 7, qualifies. Here is what the LDPLIP’s list of qualifying vehicles shows for Tesla:
- Tesla Cybertruck AWD
- Tesla Cybertruck Beast
- Tesla Model S AWD
- Tesla Model S Plaid
- Tesla Model X AWD
- Tesla Model X Plaid
- Tesla Model Y Long Range RWD
- Tesla Model Y Long Range AWD
- Tesla Model Y Performance
- Tesla Model 3 Long Range RWD
- Tesla Model 3 Long Range AWD
- Tesla Model 3 Performance
This list was published during the day of October 7, which is coincidentally the same day Tesla launched its Tesla Model 3 ‘Standard’ and Tesla Model Y ‘Standard.’
We reached out to the program to confirm that these vehicles qualify for that grant, and we will update when we hear back.
With the loss of the Federal EV Tax Credit, local programs are still available to help with the cost of an EV. Although electric cars are affordable, there are benefits to choosing one, especially as these grant programs continue to become available.
The full list of vehicles that qualify for the grant is available here.
Tesla launches ‘Mad Max’ Full Self-Driving Speed Profile, its fastest yet
Tesla just teased something crazy with the next Full Self-Driving update
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