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Tesla Model 3 named as vehicle with ‘lowest probability of injury’ by the NHTSA
The National Highway Traffic Safety Administration (NHTSA) has dubbed the Long Range RWD Tesla Model 3 as the vehicle with the lowest probability of injury among all cars that the agency has tested so far. The Model 3’s low likelihood of injury rating was given after the vehicle went through the NHTSA’s New Car Assessment Program, which involves a series of crash tests determining the likelihood of serious passenger injury for front, side, and rollover crashes.
The Model 3’s stellar rating from the NHTSA could be seen as yet another testament to the quality of Tesla’s all-electric cars. Immediately following the Model 3’s scores, after all, are the Model S and Model X, which are currently the vehicles considered by the NHTSA with the second and third lowest probabilities of injury. In a blog post announcing the electric sedan’s safety ratings, Tesla noted that it expects the Dual Motor AWD Model 3 to perform just as well in the NHTSA’s tests as its Long Range RWD sibling.
Part of the reason why the Model 3 is so safe is due to the vehicle’s all-electric design. Tesla opted to place the Model 3’s battery pack, the heaviest component of the vehicle, right at the car’s center of gravity. This gives the Model 3 performance and handling that is almost similar to that of mid-engine vehicles, while allowing the electric sedan to have a near 50/50 weight distribution. Other subtle design tweaks, such as the rear motor being placed slightly in front of the axle, further improve the Model 3’s weight distribution, as well as its overall agility and handling.
Model 3 provides superior safety with its front crumple zone which is optimized to absorb energy and crush upon impact https://t.co/RJEn0LlVNi pic.twitter.com/foF7CXPCc0
— Tesla (@Tesla) October 8, 2018
In true Tesla tradition, the Model 3’s all-electric architecture comprises of a sturdy, rigid passenger compartment, a fortified battery pack, and a low center of gravity. Just like its larger siblings, the Model S and X, the absence of an internal combustion engine in front and a fuel tank at the rear give the Model 3 extra large crumple zones, which are optimized to absorb energy and crush more efficiently in the event of an accident.
In the event of a frontal crash, the crumple zone at the front of the vehicle controls the deceleration of occupants, while the Model 3’s advanced restraint systems keep occupants safe in place. Passenger airbags are even specially designed to protect an occupant’s head in the event of an angled or offset crash, while active vents enable the vehicle to adjust the internal pressure of the frontal airbags when deploying. These systems optimize protection based on the specifics of an accident.
The Model 3’s energy-absorbing lateral and diagonal beam structures help occupants safe during pole impact crashes. These structures include a high-strength aluminum bumper beam, a sway bar placed close and forward in front of the car, cross members are the front of the steel subframe that are connected to the main crash fails, as well as diagonal beams in the subframe that distribute energy back to the crash rails when they are not directly impacted. An ultra-high-strength martensitic steel beam is further fitted on the front of the suspension to absorb crash energy from severe impacts.
Tesla also designed the Model 3 with a patented pillar structure and side sills to absorb as much energy as possible in a short distance. Coupled with the vehicle’s rigid body construction and fortified battery architecture, these design elements enable the Model 3 to reduce and prevent compartment intrusion in the event of an accident, while allowing its side airbags to have more space to inflate and cushion occupants.
Just like the Model S and Model X, the Model 3’s low center of gravity plays a key role in keeping the vehicle safe from rollover crashes. That said, even if a rollover does occur, Tesla notes that internal tests have shown that the Model 3 is capable of withstanding roof-crush loads equivalent to more than four times the electric sedan’s weight, far more than the NHTSA’s standards that require cars to withstand three times their own weight.
.@NHTSAgov will post final safety probability stats soon. Model 3 has a shot at being safest car ever tested.
— Elon Musk (@elonmusk) September 20, 2018
The Model 3 was recently given a flawless 5-Star Safety Rating in all categories and subcategories by the NHTSA. In a follow-up tweet to the NHTSA’s Model 3 results, Elon Musk noted on Twitter that the electric sedan has a shot at being the “safest car ever tested” by the agency. With the Model 3 being dubbed as the vehicle with the lowest probability of injury by the NHTSA, it appears that Musk’s statement has proven to be accurate.
Model 3 has the lowest intrusion from side pole impact of any vehicle tested by @NHTSAgov https://t.co/RJEn0LlVNi pic.twitter.com/ZvGCC82rEX
— Tesla (@Tesla) October 8, 2018
It’s not just the NHTSA that has given the Model 3 its approval, either. Earlier this year, the Insurance Institute for Highway Safety (IIHS), a nonprofit funded by auto insurers aimed at reducing accidents on the road, gave the Model 3 a “Superior” front crash avoidance rating. During the course of its testing, the Model 3 performed well in the crash avoidance and mitigation category, thanks to the vehicle’s Forward Collision Warning, its low-speed autobrake, and its high-speed autobrake systems. The Model 3 was also given a “Recommended” rating by Consumer Reports, after an over-the-air software update reduced the vehicle’s braking distance.
Tesla’s electric cars are known for their performance and their safety. The Model X, for one, also received 5-Star Safety Ratings in all categories and subcategories during the NHTSA’s tests. The Model S, on the other hand, performed so well during the NHTSA’s safety evaluation that the agency’s crash-testing gear broke while it was testing the electric sedan.
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
