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NTSB Prelim Report on fatal Tesla Model X crash: 8-seconds before impact
The National Transportation Safety Board has issued a preliminary report on the tragic Tesla Model X crash near Mountain View, CA in March. The NTSB’s preliminary report provided details about the circumstances leading up the accident, as well as observations about the all-electric SUV’s battery pack five days after the crash.
According to the NTSB, preliminary recorded data revealed that the Tesla Model X had its Autopilot engaged with Traffic-Aware Cruise Control set to 75 mph at the time of the accident. The vehicle collided into the crash attenuator, rotating it counterclockwise, removing the front part of the vehicle, and causing subsequent collisions with a 2010 Mazda 3 and a 2017 Audi A4. The NTSB noted that the vehicle’s performance data revealed the following.
The aftermath of the Tesla Model X’s fatal crash. [Credit: S. Engleman/NTSB]
- Autopilot was engaged on four separate occasions during the 32-minute trip. The driver-assist feature was engaged for the last 18 minutes 55 seconds before the collision.
- During the 18 minute, 55-second period, the Model X provided two visual and one auditory alert advising the driver to place his hands on the car’s steering wheel. The alerts were triggered more than 15 minutes prior to the accident.
- For the last 6 seconds before the collision, the Model X’s driver did not have his hands on the steering wheel.
- At 8 seconds before the crash, the Model X was following a lead vehicle at about 65 mph. At 7 seconds, the Model X began moving left while still following a lead vehicle. At 4 seconds, the Tesla was no longer following a car. At 3 seconds before the accident, the Model X’s speed increased from 62 mph to 70.8 mph. The vehicle’s emergency braking and evasive steering did not engage.
- During the collision sequence, the Model X’s lithium-ion battery was breached, causing a fire. The flames were extinguished after the Mountain View Fire Department applied about 200 gallons of water and foam during a period of fewer than 10 minutes. In the afternoon, the battery emanated smoke and audible venting was heard, though no flames were observed.
- On March 28, 5 days after the accident, the Model X’s battery pack reignited. The San Mateo Fire Department extinguished the fire.
The NTSB noted in its preliminary report that it is continuing work with the California Highway Patrol and the California Department of Transportation in investigating the accident. The NTSB stated that all aspects of the crash remain under investigation, and that it intends to issue safety recommendations to prevent similar incidents from taking place.
Tesla and the NTSB initially worked together in investigating the fatal Model X accident. The electric car company and the safety board eventually parted ways, however, due to Tesla’s decision to release crash data before the NTSB’s investigation was complete. Among the information Tesla released was that the driver did not have his hands on the wheel during the final 6 seconds leading up to the accident — information that has been reiterated in the NTSB’s preliminary report.
According to a Tesla, it opted to withdraw from its party agreement with the NTSB since collaboration with the safety board prevents the public release of safety information until the investigation was finished. People familiar with the matter, however, noted that the NTSB was the one which opted to terminate its collaboration with Tesla, according to a Bloomberg report.
In an update after the accident, Tesla highlighted that the absence of a crash attenuator — a highway safety device designed to absorb the impact of a collision — was already damaged when the Model X collided with the concrete barrier. In a statement to ABC7 News, Wil Huang, the brother of the ill-fated Model X driver, noted that a working crash attenuator would have saved his brother’s life. Later statements from CalTrans revealed that safety device had been left unrepaired for 11 days before the tragic Model X accident.
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 launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
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