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.
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Tesla adds new surprising fee to Robotaxi program
“Additional cleaning was required for the vehicle after your trip. A fee has been added to your final cost to cover this service. Please contact us if you have any questions.”
Tesla has added a new and somewhat surprising fee to the Robotaxi program. It’s only surprising because it was never there before.
Tesla shocked everyone when it launched its Robotaxi platform and offered riders the opportunity to tip, only to tell them they do not accept tips. It was one of the company’s attempts at being humorous as it rolled out its driverless platform to people in Austin.
As it has expanded to new cities and been opened to more people, as it was yesterday to iOS users, Tesla has had to tweak some of the minor details of the Robotaxi and ride-hailing platforms it operates.
First Look at Tesla’s Robotaxi App: features, design, and more
With more riders, more vehicles, and more operational jurisdictions, the company has to adjust as things become busier.
Now, it is adjusting the platform by adding “Cleaning Fees” to the Robotaxi platform, but it seems it is only charged if the vehicle requires some additional attention after your ride.
The app will communicate with the rider with the following message (via Not a Tesla App):
“Additional cleaning was required for the vehicle after your trip. A fee has been added to your final cost to cover this service. Please contact us if you have any questions.”
The cost of the cleaning will likely depend on how severe the mess is. If you spill a soda, it will likely cost less than if you lose your lunch in the back of the car because you had a few too many drinks.
This is an expected change, and it seems to be one that is needed, especially considering Tesla is operating a small-scale ride-hailing service at the current time. As it expands to more states and cities and eventually is available everywhere, there will be more situations that will arise.
The messes in vehicles are not a new situation, especially in a rideshare setting. It will be interesting to see if Tesla will enable other fees, like ones for riders who request a ride and do not show up for it.
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Tesla Model Y sold out in China for 2025
Customers who wish to get their cars by the end of the year would likely need to get an inventory unit.
It appears that the Model Y has been sold out for 2025 in China. This seems to be true for the four variants of the vehicle that are currently offered in the country.
Tesla China’s order page update
A look at Tesla China’s order page for the Model Y shows a message informing customers that those who wish to guarantee delivery by the end of the year should purchase an inventory unit. This was despite the Model Y RWD and Model Y L showing an estimated delivery timeline of 4-8 weeks, and the Model Y Long Range RWD and Model Y Long Range AWD showing 4-13 weeks.
As per industry watchers, these updates on the Model Y’s order page suggest that Tesla China’s sales capacity for the remainder of 2025 has been sold out. The fact that estimated delivery timeframes for the Model Y Long Range RWD and AWD extend up to 13 weeks also bodes well for demand for the vehicle, especially given strong rivals like the Xiaomi YU7, which undercuts the Model Y in price.
Tesla China’s upcoming big updates
What is quite interesting is that Tesla China is still competing in the country with one hand partly tied behind its back. So far, Tesla has only been able to secure partial approval for its flagship self-driving software, FSD, in China. This has resulted in V14 not being rolled out to the country yet. Despite this, Tesla China’s “Autopilot automatic assisted driving on urban roads,” as the system is called locally, has earned positive reviews from users.
As per Elon Musk during the 2025 Annual Shareholder Meeting, however, Tesla is expecting to secure full approval for FSD in China in early 2026. “We have partial approval in China, and we hopefully will have full approval in China around February or March or so. That’s what they’ve told us,” Musk said.
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Tesla Full Self-Driving appears to be heading to Europe soon
For years, Musk has said the process for gaining approval in Europe would take significantly more time than it does in the United States. Back in 2019, he predicted it would take six to twelve months to gain approval for Europe, but it has taken much longer.
Tesla Full Self-Driving appears to be heading to Europe soon, especially as the company has continued to expand its testing phases across the continent.
It appears that the effort is getting even bigger, as the company recently posted a job for a Vehicle Operator in Prague, Czech Republic.
This would be the third country the company is seeking a Vehicle Operator in for the European market, joining Germany and Hungary, which already have job postings in Berlin, Prüm, and Budapest, respectively.
🚨Breaking: Tesla is hiring vehicle operators in Prague. pic.twitter.com/CbiJdQLCLj
— Tesla Yoda (@teslayoda) November 19, 2025
This position specifically targets the Engineering and Information Technology departments at Tesla, and not the Robotics and Artificial Intelligence job category that relates to Robotaxi job postings.
Although there has been a posting for Robotaxi Operators in the Eastern Hemisphere, more specifically, Israel, this specific posting has to do with data collection, likely to bolster the company’s position in Europe with FSD.
The job description says:
“We are seeking a highly motivated employee to strengthen our team responsible for vehicle data collection. The Driver/Vehicle Operator position is tasked with capturing high-quality data that contributes to improving our vehicles’ performance. This role requires self-initiative, flexibility, attention to detail, and the ability to work in a dynamic environment.”
It also notes the job is for a fixed term of one year.
The position requires operation of a vehicle for data collection within a defined area, and requires the Vehicle Operator to provide feedback to improve data collection processes, analyze and report collected data, and create daily driving reports.
The posting also solidifies the company’s intention to bring its Full Self-Driving platform to Europe in the coming months, something it has worked tirelessly to achieve as it spars with local regulators.
For years, Musk has said the process for gaining approval in Europe would take significantly more time than it does in the United States. Back in 2019, he predicted it would take six to twelve months to gain approval for Europe, but it has taken much longer.
This year, Musk went on to say that the process of getting FSD to move forward has been “very frustrating,” and said it “hurts the safety of the people of Europe.”
Elon Musk clarifies the holdup with Tesla Full Self-Driving launch in Europe
The latest update Musk gave us was in July, when he said that Tesla was awaiting regulatory approval.