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Tesla Autopilot and FSD Beta can be a remedy for drivers with PTSD — even in their imperfect state

Credit: @evamcmillan333/Twitter)

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It took Tesla owner Matthew Kerle a whole month to get behind the wheel of a car and drive on the highway once more. And when he did, things were not the same. 

Just a few weeks before, Kerle was riding in his friend’s Pontiac Grand Am when the driver approached a sharp curve too fast. It was dusk, and the road was unfamiliar. Upon realizing that they were about to crash, Kerle braced for impact, planting his feet on the car’s floor and clenching his iPhone as tightly as he could in his hand. The driver tried to slow down, but it was not enough, and the vehicle started rolling. The impact was so violent that Kerle’s iPhone and shoes were wrenched from his hands and feet.  

Things moved in slow motion at that point. Kerle hoped that the vehicle would roll a couple of times and he and his friends could get out. But it was not to be. Rolling in a car is one of Kerle’s biggest fears, but he steeled himself, hoping that the vehicle would eventually stop. It did, but the rolling sensation and shower of broken glass were quickly replaced by a sudden rush of cold, dark water. Unlike in the movies where the water slowly rises when a car falls into water, Kerle and his friends were immediately submerged. 

The aftermath of Kerle’s accident. (Credit: Matthew Kerle)

It took a significant degree of faith and some luck, but Kerle was eventually able to get out of the overturned Pontiac. Upon reaching solid ground, he saw that his four other friends were still underwater. Injured, exhausted, and shaking from the experience, Kerle called out for his friends. Fortunately, all four emerged from the water, some more injured than the others. But the group’s tribulations were not done yet, as they had to walk almost a mile to find help. Kerle ended up in the hospital, where he recovered from his injuries. But as he went home days later, he realized that things were no longer the same. 

The harrowing experience with the crash and near-death experience gave Kerle PTSD. He found himself unable to drive at speed or at night. Going over railroad tracks was a trigger, and even showers were not a respite as the sound of the water hitting his ears triggered flashbacks of the accident. Kerle’s physical injuries healed, but the mental scars of his near-death experience stayed. He eventually started driving again, but it was a constant mental battle. He could drive, but there were still times when the trauma of the accident came back. 

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A Hidden Issue

Kerle’s experience is not unique among American drivers. A survey conducted by online insurance comparison service The Zebra revealed that about 66% of Americans experience driving anxiety, with 55% reporting that they feel it while performing common driving maneuvers. Out of those who experienced anxiety behind the wheel, 26% stated that they were most anxious when merging into the highway and 19% stated that they were most anxious when they are backing up or reversing. About 62% of Americans also reported having a past traumatic driving experience. 

Dr. Rachel Cavallaro, a licensed Psychologist with Thriveworks in Boston, informed Teslarati that vehicular accidents are the leading cause of post-traumatic stress disorder in the general population. Considering that there are 6 million car accidents in the United States with over 2.5 million injuries, this is not a surprise. A study from the American Psychological Association also revealed that car accidents are the number one trauma for men and the second most frequent trauma for women. A study conducted by the National Institute of Mental Health (NIMH) further revealed that 39.2% of motor vehicle accident survivors develop some form of PTSD as well. 

Credit: The Zebra

“Many people with these conditions avoid driving altogether. If they do decide to drive, they endure it with intense anxiety such as heart palpitations, sweating, muscle tension, an underlying feeling of restlessness, or irritability. These individuals may go to great lengths to avoid highways or roads they view as dangerous. For individuals who have PTSD symptoms, they may have intrusive thoughts or memories which further interfere with their ability to attend to the road. In more severe cases, the individual may experience flashbacks or dissociate,” Cavallaro said. 

Needless to say, Kerle’s experiences and the challenges he faced in his recovery are shared by numerous other drivers in the United States. Jay Varela, a therapist from Thriveworks in Roanoke, outlined some of the issues typically faced by drivers who struggle with PTSD on the road, and Kerle’s experiences were on the dot. 

“It can be extremely challenging for someone suffering from PTSD or driving phobia to drive a vehicle on their own. Individuals with PTSD struggle with ‘triggers’ that remind them of their traumatic experiences. Vehicular accident survivors can experience many triggers while driving, such as the makes and models of cars, weather conditions, or noises. Such triggers can lead to a fight-or-flight response. Fight-or-flight responses can make it difficult to maintain safe driving habits. Furthermore, individuals may engage in ‘safety behaviors’ to manage their symptoms. These can include stopping suddenly, driving well below the speed limit, or becoming fixated on the rearview mirror,” Varela said. 

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An Imperfectly Useful Solution

For Kerle, his driving experiences took a turn for the better in 2019 when he took delivery of his Tesla Model 3. By then, he was living in a Phoenix suburb and his commute was very long. Since electric vehicles have lane access, he figured that a Tesla could help him get to work and home faster. Kerle admitted that Tesla’s tech intrigued him, and because he is more of a tech guy than a car guy, he could not stay away from Autopilot. It should be noted that back in 2019, Autopilot is nowhere near as refined as it is today, but for Kerle, it was already life-changing. 

“When you work with a system long enough, you start to understand it,” Kerle told Teslarati, adding that when he first got Autopilot, he tended to distrust the driver-assist system since it would behave differently than a human driver. But over time and as he got more used to Autopilot’s behaviors, Kerle started realizing that Tesla’s driver-assist technologies are really optimized for safety. The car may not behave like a human driver at times, but it is careful nonetheless. 

“After a while, you’re like, ‘All right, I know in situations like this, here’s how it’s going to respond.’ It is going to slow down three car lengths nearby. It’s gonna make it. It’s not gonna cause an accident. And then you start to build a trust and an understanding. And so what I’d say is that you really learn what (Autopilot) does really well and areas that it might not be perfect. You can’t just blindly trust it to do everything and not pay attention, so I really view the relationship between a driver and FSD or Autopilot as a partnership, with the driver taking the role of a supervisor,” Kerle said. 

A Tesla Model 3 utilizing its Navigate on Autopilot feature. (Credit: Tesla)

Eventually, Kerle noted that even Autopilot’s rather strange behaviors are rooted in safety. He told Teslarati about an experience in which Autopilot moved over and sharply jerked back to its original lane. Initially, Kerle thought it was a bug that needed to be reported, but he soon realized that his car jerked back because a careless driver was speeding on the adjacent lane. Had he intervened then and completed the lane change, Kerle noted that he might have ended up being involved in a crash again. 

“When you’re changing lanes, what do you do? You look in your mirror, you turn, you turn and look for cars, and your field of view is very narrow, and you’re taking your eyes off all of the other parts of the road. That is actually a very dangerous thing, and it causes a lot of accidents. Autopilot can see every direction. Now it understands time space. It understands based where cars are, where they’re doing to be, and what they’re doing. 

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“And it making a lane change is actually very safe because it understands what’s going on around it better than a human would. So I think that as supervisors, as it is shifting to become a lot better than humans in a lot of cases, one of the most dangerous things that we can do is take over when it actually has it, because we can mess it up,” Kerle said. 

Kerle is now married with a growing family, so he has bought a Tesla Model X to make sure his kids are as safe as possible. He is also now part of the company’s FSD Beta program, which allows him to use automatic driving on inner-city streets. 

An Infinitely Useful Work in Progress

For Cavallaro, the presence of driver-assist systems that take the stress of driving tasks is invaluable today since the systems could help reduce the fear of driving while increasing the feeling of safety. Varela adds that the presence of automated driving features in vehicles could help individuals suffering from PTSD or driving phobia maintain their independence. 

“Many individuals with PTSD and/or driving phobia may feel unable to drive and this can lead to a loss of independence. Such a loss may have serious impacts on occupational, social, and overall personal functioning. Automated driving systems may help them regain their independence by reducing mental strain and safeguarding against dangerous safety behaviors,” Varela said. 

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Both Tesla Autopilot and FSD Beta are a work in progress, and there is also no denying the fact that the company’s self-driving efforts are running quite late. But having seen the rate of improvement in both Autopilot and FSD Beta, Kerle believes that it is just a matter of time before Tesla attains actual autonomous driving. Even in their current form and capabilities, Kerle highlighted that Autopilot and FSD Beta had shown him just how much stress manual driving could bring. 

Credit: AI DRIVR/YouTube

“Before I got my Model 3, because of my PTSD, I did not understand how much stress driving to work caused me. When I got FSD and when I got comfortable with it, I had significantly more energy and significantly less stress — by a significant margin — like, other people noticed. And so, I did not really understand how much stress driving and rush hour traffic for an hour each way adds to your life and how exhausting it is to your body. And FSD Beta, yes, you have to supervise and pay attention, but it still removes a massive amount of stress and exhaustion.

“I’m supervising, I’m making sure it’s driving safely, but I don’t have to worry ‘Is that car in front of me gonna slam on its brakes, and do I need to react in a quarter of a second or crash?’ ‘If I’m changing lanes, do I have to be stressed about a situation that I can’t see and can’t control, but need to see where I’m gonna crash?’ All of those little, little things that you’re constantly fixated on while you’re driving are removed to just ensuring that the system is driving properly and safely. The stress reduction is insane,” Kerle said.  

A Note from the Author

As someone who deals with driving anxiety and sudden OCD tendencies on the road, this article strikes close to home. Unfortunately, Tesla is not available everywhere yet, and it’s no secret that the company’s vehicles, at least for now, still cater to buyers of premium vehicles. For those who shop at the lower end of the auto market, manual driving is still the norm, and it could be for a while. With this in mind, it is pertinent to know what to do to lessen the mental strain of driving, and where to seek help. 

Ken Goodman, one of the board of directors for the Anxiety and Depression Association of America and the creator of The Anxiety Solution Series, informed Teslarati that drivers who are suffering from driving anxiety should start with easier forms of driving first, and work their way up to more difficult tasks later. Goodman noted that starting with neighborhood driving is a good idea, before transitioning to highway driving later on. Driving on the fast lane could also come later when drivers become a bit more comfortable behind the wheel. 

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Ultimately, however, Goodman advised that the best solution is still to see a therapist that specializes in the treatment of driving anxiety. 

Cavallaro, for her part, added that Cognitive Behavioral Therapy and associated approaches could help drivers who are suffering from PTSD and driving phobia. “Cognitive Behavioral Therapy has been empirical validated and supported for PTSD as well as associated anxiety disorders. Additionally, Prolonged Exposure (PE) and Cognitive Processing Therapy (CPT) are specific forms of CBT that were created to treat PTSD,” she said. 

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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The Boring Company just doubled its tunneling power in Nashville

The Boring Company’s Prufrock MB2 is commissioned and ready to mine beneath Nashville’s streets.

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The Boring Company’s second tunnel boring machine, Prufrock MB2, is officially ready to dig in Nashville. The company confirmed the news on X, posting: “Prufrock-MB2 is ready to mine in Nashville! MB2 commissioning is complete, including the brief 11 rpm rotation shown here. Will MB2 catch up to MB1, who had quite the head start? And Prufrock-MB3 ships in August!”

MB2 arrives with meaningful improvements over its predecessor. Lessons learned from the launch and operation of MB1 have already been applied to MB2 to improve efficiency and prepare the machine for launch.

Traditional tunnel boring machines operate in a stop-and-go cycle, digging roughly five feet, halt, erect precast concrete segments to line the tunnel wall, then resume. That repeated interruption is one of the main reasons conventional tunneling is slow and expensive. Prufrock is designed to install the tunnel liner simultaneously with mining, eliminating the need to stop every five feet. The machine also skips the need for excavated launch pits. Prufrock arrives on a truck, tilts down, and launches into the ground within 24 hours. And when the tunnel is complete, it emerges from the ground and drives to its next launch site on a trailer, eliminating the need for expensive cranes or pit excavation. The machine is also fully electric and runs with zero people in the tunnel during normal operations, controlled remotely from a surface operations center.

It won’t be long before we hear of another major update on The Boring Company’s Music City Loop project – a planned underground transit network beneath Nashville that would move passengers in electric vehicles through a series of tunnels at highway speeds, and bypassing surface traffic entirely. Nashville was selected in part because of its strong rock conditions that suits the Prufrock machines well, and relatively less regulatory hurdles.

Progress has been steady on multiple fronts. All 37 permits and approvals required ahead of tunneling have been obtained, out of 45 total. Key wins include a fully executed TDOT tunnel permit authorizing 25 miles of tunnel, unanimous airport authority approval for a Nashville International Airport station, and the city’s first residential station agreement serving downtown tower residents.

With MB1 already tunneling, MB2 now commissioned, and MB3 shipping in August, Nashville is becoming something of a live proving ground for scaled tunnel boring. The broader ambition is not limited to one city. The Boring Company’s stated goal is to make underground transportation a practical alternative to surface roads across major metro areas. Nashville is one of many cities, including a successful Las Vegas tunnel system, where that idea is being put to the test at real speed.

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Tesla urges New Jersey owners to oppose new bill that could block Robotaxi

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Credit: Grok

Tesla has launched a direct campaign targeting its customers in New Jersey, sending emails that warn of pending legislation that could effectively block true driverless technology in the state.

The email focuses on Senate Bill S.1677 and Assembly Bill A.3968, measures intended to create a three-year autonomous vehicle pilot program but laden with requirements that Tesla argues make unsupervised Robotaxis impossible.

According to the email, the bills impose “restrictions so severe that true driverless deployment would remain illegal.” Specific hurdles include mandates for human safety drivers during operations, multimillion-dollar insurance minimums, reportedly $5 million, and thresholds like 100,000 miles of demonstrated safe autonomous driving before any driverless approval.

Tesla contends these are arbitrary barriers that ignore real-world performance data and favor entrenched competitors over innovative technologies like its Full Self-Driving (FSD) system.

The push comes as Tesla has started expanding Robotaxi operations in states like Texas, where unsupervised vehicles are already providing rides in several cities. New Jersey, by contrast, risks falling behind. The company highlights in the email communication that more than 94 percent of serious crashes result from human error, meaning impairment, distraction, or fatigue. These are all problems that Robotaxis eliminate entirely.

In 2025, New Jersey recorded 582 traffic deaths, underscoring the human cost of delayed adoption.

Tesla’s outreach stresses the transformative potential of robotaxis. For families, they could offer safer school runs without drowsy or distracted drivers. For seniors and people with disabilities, robotaxis promise independence and reliable mobility.

In areas with limited public transit, they could deliver affordable, on-demand transportation, reducing congestion, emissions, and overall transportation costs. Economically, the company warns that restrictive rules could cost New Jersey jobs, innovation investment, and billions in potential growth as autonomous ride-hailing scales elsewhere.

Supporters of the legislation, including Sen. Andrew Zwicker, describe the pilot as a cautious framework with strong safety oversight, including incident reporting, expert task forces, and restrictions in sensitive zones like school areas. They view it as balancing innovation with public protection.

Tesla and pro-AV advocates counter that the bill lacks technology neutrality, creates insurmountable entry barriers for commercial deployment, and prioritizes process over outcomes — effectively functioning as a de facto ban on services like Robotaxi.

This latest clash echoes Tesla’s past battles in New Jersey over direct vehicle sales. The email directs owners to Tesla’s advocacy platform, where they can send customized messages to legislators calling for amendments: outcome-based safety standards, open competition, and clear pathways for fully driverless commercial operations.

As hearings approach, Tesla’s campaign frames the issue as a choice between protecting the status quo and embracing life-saving progress. With robotaxi technology already proving itself in permissive states, New Jersey owners are being asked to ensure their state doesn’t lock out the future of transportation.

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Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest

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Credit: TESLARATI

Turn-by-turn navigation is not new technology.

For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.

Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.

Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.

Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.

But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.

This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.

More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.

It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?

Multiple Data Sources

First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.

Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.

Persistent Learning

FSD seems to struggle with persistent learning from driver interventions.

Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.

This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.

I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.

Reasoning, Scaling, and Intuition

Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.

Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.

Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.

Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.

Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.

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