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Stanford studies human impact when self-driving car returns control to driver
Researchers involved with the Stanford University Dynamic Design Lab have completed a study that examines how human drivers respond when an autonomous driving system returns control of a car to them. The Lab’s mission, according to its website, is to “study the design and control of motion, especially as it relates to cars and vehicle safety. Our research blends analytical approaches to vehicle dynamics and control together with experiments in a variety of test vehicles and a healthy appreciation for the talents and demands of human drivers.” The results of the study were published on December 6 in the first edition of the journal Science Robotics.
Holly Russell, lead author of study and former graduate student at the Dynamic Design Lab says, “Many people have been doing research on paying attention and situation awareness. That’s very important. But, in addition, there is this physical change and we need to acknowledge that people’s performance might not be at its peak if they haven’t actively been participating in the driving.”
The report emphasizes that the DDL’s autonomous driving program is its own proprietary system and is not intended to mimic any particular autonomous driving system currently available from any automobile manufacturer, such as Tesla’s Autopilot.
The study found that the period of time known as “the handoff” — when the computer returns control of a car to a human driver — can be an especially risky period, especially if the speed of the vehicle has changed since the last time the person had direct control of the car. The amount of steering input required to accurately control a vehicle varies according to speed. Greater input is needed at slower speeds while less movement of the wheel is required at higher speeds.
People learn over time how to steer accurately at all speeds based on experience. But when some time elapses during which the driver is not directly involved in steering the car, the researchers found that drivers require a brief period of adjustment before they can accurately steer the car again. The greater the speed change while the computer is in control, the more erratic the human drivers were in their steering inputs upon resuming control.
“Even knowing about the change, being able to make a plan and do some explicit motor planning for how to compensate, you still saw a very different steering behavior and compromised performance,” said Lene Harbott, co-author of the research and a research associate in the Revs Program at Stanford.
Handoff From Computer to Human
The testing was done on a closed course. The participants drove for 15 seconds on a course that included a straightaway and a lane change. Then they took their hands off the wheel and the car took over, bringing them back to the start. After familiarizing themselves with the course four times, the researchers altered the steering ratio of the cars at the beginning of the next lap. The changes were designed to mimic the different steering inputs required at different speeds. The drivers then went around the course 10 more times.
Even though they were notified of the changes to the steering ratio, the drivers’ steering maneuvers differed significantly from their paths previous to the modifications during those ten laps. At the end, the steering ratios were returned to the original settings and the drivers drove 6 more laps around the course. Again the researchers found the drivers needed a period of adjustment to accurately steer the cars.
The DDL experiment is very similar to a classic neuroscience experiment that assesses motor adaptation. In one version, participants use a hand control to move a cursor on a screen to specific points. The way the cursor moves in response to their control is adjusted during the experiment and they, in turn, change their movements to make the cursor go where they want it to go.
Just as in the driving test, people who take part in the experiment have to adjust to changes in how the controller moves the cursor. They also must adjust a second time if the original response relationship is restored. People can performed this experiment themselves by adjusting the speed of the cursor on their personal computers.
“Even though there are really substantial differences between these classic experiments and the car trials, you can see this basic phenomena of adaptation and then after-effect of adaptation,” says IIana Nisky, another co-author of the study and a senior lecturer at Ben-Gurion University in Israel “What we learn in the laboratory studies of adaptation in neuroscience actually extends to real life.”
In neuroscience this is explained as a difference between explicit and implicit learning, Nisky explains. Even when a person is aware of a change, their implicit motor control is unaware of what that change means and can only figure out how to react through experience.
Federal and state regulators are currently working on guidelines that will apply to Level 5 autonomous cars. What the Stanford research shows is that until full autonomy becomes a reality, the “hand off” moment will represent a period of special risk, not because of any failing on the part of computers but rather because of limitations inherent in the brains of human drivers.
The best way to protect ourselves from that period of risk is to eliminate the “hand off” period entirely by ceding total control of driving to computers as soon as possible.
Tesla’s new Full Self-Driving pricing strategy will eliminate one recurring complaint that many owners have had in the past: FSD transfers.
In the past, if a Tesla owner purchased the Full Self-Driving suite outright, the company did not allow them to transfer the purchase to a new vehicle, essentially requiring them to buy it all over again, which could obviously get pretty pricey.
This was until Q3 2023, when Tesla allowed a one-time amnesty to transfer Full Self-Driving to a new vehicle, and then again last year.
Tesla is now allowing it to happen again ahead of the February 14th deadline.
The program has given people the opportunity to upgrade to new vehicles with newer Hardware and AI versions, especially those with Hardware 3 who wish to transfer to AI4, without feeling the drastic cost impact of having to buy the $8,000 suite outright on several occasions.
Now, that issue will never be presented again.
Last night, Tesla CEO Elon Musk announced on X that the Full Self-Driving suite would only be available in a subscription platform, which is the other purchase option it currently offers for FSD use, priced at just $99 per month.
Tesla is shifting FSD to a subscription-only model, confirms Elon Musk
Having it available in a subscription-only platform boasts several advantages, including the potential for a tiered system that would potentially offer less expensive options, a pay-per-mile platform, and even coupling the program with other benefits, like Supercharging and vehicle protection programs.
While none of that is confirmed and is purely speculative, the one thing that does appear to be a major advantage is that this will completely eliminate any questions about transferring the Full Self-Driving suite to a new vehicle. This has been a particular point of contention for owners, and it is now completely eliminated, as everyone, apart from those who have purchased the suite on their current vehicle.
Now, everyone will pay month-to-month, and it could make things much easier for those who want to try the suite, justifying it from a financial perspective.
The important thing to note is that Tesla would benefit from a higher take rate, as more drivers using it would result in more data, which would help the company reach its recently-revealed 10 billion-mile threshold to reach an Unsupervised level. It does not cost Tesla anything to run FSD, only to develop it. If it could slice the price significantly, more people would buy it, and more data would be made available.
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Tesla Model 3 and Model Y dominates U.S. EV market in 2025
The figures were detailed in Kelley Blue Book’s Q4 2025 U.S. Electric Vehicle Sales Report.
Tesla’s Model 3 and Model Y continued to overwhelmingly dominate the United States’ electric vehicle market in 2025. New sales data showed that Tesla’s two mass market cars maintained a commanding segment share, with the Model 3 posting year-to-date growth and the Model Y remaining resilient despite factory shutdowns tied to its refresh.
The figures were detailed in Kelley Blue Book’s Q4 2025 U.S. Electric Vehicle Sales Report.
Model 3 and Model Y are still dominant
According to the report, Tesla delivered an estimated 192,440 Model 3 sedans in the United States in 2025, representing a 1.3% year-to-date increase compared to 2024. The Model 3 alone accounted for 15.9% of all U.S. EV sales, making it one of the highest-volume electric vehicles in the country.
The Model Y was even more dominant. U.S. deliveries of the all-electric crossover reached 357,528 units in 2025, a 4.0% year-to-date decline from the prior year. It should be noted, however, that the drop came during a year that included production shutdowns at Tesla’s Fremont Factory and Gigafactory Texas as the company transitioned to the new Model Y. Even with those disruptions, the Model Y captured an overwhelming 39.5% share of the market, far surpassing any single competitor.
Combined, the Model 3 and Model Y represented more than half of all EVs sold in the United States during 2025, highlighting Tesla’s iron grip on the country’s mass-market EV segment.
Tesla’s challenges in 2025
Tesla’s sustained performance came amid a year of elevated public and political controversy surrounding Elon Musk, whose political activities in the first half of the year ended up fueling a narrative that the CEO’s actions are damaging the automaker’s consumer appeal. However, U.S. sales data suggest that demand for Tesla’s core vehicles has remained remarkably resilient.
Based on Kelley Blue Book’s Q4 2025 U.S. Electric Vehicle Sales Report, Tesla’s most expensive offerings such as the Tesla Cybertruck, Model S, and Model X, all saw steep declines in 2025. This suggests that mainstream EV buyers might have had a price issue with Tesla’s more expensive offerings, not an Elon Musk issue.
Ultimately, despite broader EV market softness, with total U.S. EV sales slipping about 2% year-to-date, Tesla still accounted for 58.9% of all EV deliveries in 2025, according to the report. This means that out of every ten EVs sold in the United States in 2025, more than half of them were Teslas.
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Tesla Model 3 and Model Y earn Euro NCAP Best in Class safety awards
“The company’s best-selling Model Y proved the gold standard for small SUVs,” Euro NCAP noted.
Tesla won dual categories in the Euro NCAP Best in Class awards, with the Model 3 being named the safest Large Family Car and the Model Y being recognized as the safest Small SUV.
The feat was highlighted by Tesla Europe & Middle East in a post on its official account on social media platform X.
Model 3 and Model Y lead their respective segments
As per a press release from the Euro NCAP, the organization’s Best in Class designation is based on a weighted assessment of four key areas: Adult Occupant, Child Occupant, Vulnerable Road User, and Safety Assist. Only vehicles that achieved a 5-star Euro NCAP rating and were evaluated with standard safety equipment are eligible for the award.
Euro NCAP noted that the updated Tesla Model 3 performed particularly well in Child Occupant protection, while its Safety Assist score reflected Tesla’s ongoing improvements to driver-assistance systems. The Model Y similarly stood out in Child Occupant protection and Safety Assist, reinforcing Tesla’s dual-category win.
“The company’s best-selling Model Y proved the gold standard for small SUVs,” Euro NCAP noted.
Euro NCAP leadership shares insights
Euro NCAP Secretary General Dr. Michiel van Ratingen said the organization’s Best in Class awards are designed to help consumers identify the safest vehicles over the past year.
Van Ratingen noted that 2025 was Euro NCAP’s busiest year to date, with more vehicles tested than ever before, amid a growing variety of electric cars and increasingly sophisticated safety systems. While the Mercedes-Benz CLA ultimately earned the title of Best Performer of 2025, he emphasized that Tesla finished only fractionally behind in the overall rankings.
“It was a close-run competition,” van Ratingen said. “Tesla was only fractionally behind, and new entrants like firefly and Leapmotor show how global competition continues to grow, which can only be a good thing for consumers who value safety as much as style, practicality, driving performance, and running costs from their next car.”
Tesla Full Self-Driving pricing strategy eliminates one recurring complaint
Tesla Model 3 and Model Y dominates U.S. EV market in 2025
