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Tesla Model 3 receives Top Safety Pick+ award from the IIHS
The Insurance Institute for Highway Safety (IIHS) has released the results of its crash tests for the Tesla Model 3, and just like other safety agencies in the US and abroad, the organization has granted the all-electric sedan its highest rating available. In a recent announcement, the IIHS has revealed that the Tesla Model 3 qualifies for its Top Safety Pick+ award.
The IIHS notes that to earn the Top Safety Pick+ award, a vehicle must get good ratings in the driver-side small overlap front, moderate overlap front, side, roof strength, and head restraint tests. Good ratings are also required in the passenger-side small overlap test and the headlight evaluation, the latter proving to be a tricky metric that is rarely aced by carmakers.
The Model 3 earned good ratings across the board for crashworthiness, with the vehicle’s front crash prevention system getting a superior rating after successfully avoiding collisions in both the 12 mph and 25 mph track tests. The Model 3’s strong frame also allowed the vehicle to perform well in challenging tests such as the driver-side small overlap front test. Additionally, the Model 3’s headlights received a good rating for being bright enough without causing glare to other drivers.
With its results, the Tesla Model 3 joins the all-electric Audi e-tron and the hydrogen-powered Hyundai Nexo as the IIHS’ Top Safety Pick+ vehicles for 2019. Speaking about these results, IIHS Chief Research Officer David Zuby remarked that the stellar safety performance of these vehicles proves that cars with alternative powertrains do not compromise in terms of safety. “Vehicles with alternative powertrains have come into their own. There’s no need to trade away safety for a lower carbon footprint when choosing a vehicle,” he said.
In a blog post, Tesla explained that the Model 3’s Top Safety Pick+ rating from the IIHS is due to the vehicle’s all-electric structural and powertrain design, which gives the car a low center of gravity that reduces rollover risk while protecting occupants in the event of a crash. Of course, the absence of an engine results in a generous crumple zone in front of the Model 3, which absorbs energy more effectively during a collision. The Model 3’s glass roof also proved very strong, resisting more than 20,000 pounds of force.
Apart from receiving the IIHS’ Top Safety Pick+ rating, the Tesla Model 3 has also earned a 5-Star Safety Rating from the National Highway Traffic Safety Administration (NHTSA). The all-electric sedan also set new benchmarks in safety at its tests with the European New Car Assessment Program (Euro NCAP), as well as the Australasian New Car Assessment Program (ANCAP).
Watch the IIHS’s featurette on the Tesla Model 3’s stellar safety results in the video below.
Read Tesla’s blog post about the IIHS’ Top Safety Pick+ award for the Model 3 below.
Model 3 Earns the 2019 IIHS TOP SAFETY PICK+ Award
We engineer our cars to be the best in the world – in every category. Model 3, our most affordable car yet, is no exception. From the start, we designed it to be among the safest cars ever built, with the goal of getting as many Model 3s on the road as possible to further our mission.
Model 3 has already earned a 5-star safety rating in every category and sub-category from safety authorities on three continents (North America, Europe and Australia), and it has received top marks around the world for its advanced safety assistance features like Automatic Emergency Braking.
Now, in new tests from the Insurance Institute for Highway Safety (IIHS), Model 3 has been named a 2019 IIHS TOP SAFETY PICK+ vehicle, the highest achievement awarded by the Institute. To evaluate whether Model 3 met the criteria for this top rating, IIHS tested the car’s crashworthiness, occupant protection, crash avoidance, and headlight systems. Model 3 earned top marks in all eight tests, including a superior rating in front crash prevention, which evaluates a car’s Automatic Emergency Braking system, and the highest possible rating in IIHS’ headlight assessment.
Here’s a look at some of the ways we made this happen:
Part of what makes Model 3 so safe is its all-electric powertrain design, which gives the car a low center of gravity that reduces roll-over risk, as well as its rigid aluminum and steel passenger cabin that provides exceptional strength to equally protect drivers and passengers. Additionally, Model 3’s lack of an engine is replaced by a large crumple zone that helps it absorb energy more effectively than a gas car would, dissipating force away from the passenger cabin. This crumple zone contributed to Model 3’s top rating in IIHS’ frontal crash protection tests.
The Institute’s results also demonstrate the exceptional strength of Model 3’s all-glass roof, which is supported by a very strong metal body structure and helps protect occupants in roll-over crashes. During testing, the car’s roof was able to successfully resist more than 20,000 pounds of force – that’s more than if we placed five Model 3s on top of the car’s roof at once. And, the roof earned a higher strength-to-weight ratio score than any other fully electric vehicle that IIHS has ever tested.
In addition, Model 3’s safety restraint system also earned high marks in IIHS’ evaluation. This was due in part to Model 3’s seats, which are designed and manufactured in-house at our dedicated seat factory in Fremont, as well as our thick curtain airbag and uniquely shaped front passenger airbag, which help protect a passenger’s head from the car’s A-pillar and center screen.
In terms of crash mitigation, good headlights can help prevent nighttime crashes, which is why Model 3 comes standard with automatic high and low beam headlights that earned top marks in IIHS testing. And, when it comes to crash prevention, Model 3 earned a superior rating thanks to our Automatic Emergency Braking system, which successfully avoided collisions at both 12 miles per hour and 25 miles per hour.
The safety of our customers is what matters most, which is why our active safety features and passive safety equipment come standard on all of our cars. We’re also committed to making our cars even safer over time via over-the-air updates, helping us ensure that all Tesla drivers have access to the best safety features available for their cars.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
