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EV adoption spurs updated guidance on parking structure design
As electric vehicles (EVs) become increasingly common on roads around the world, many infrastructural changes will be needed to accommodate them. One example includes the design of parking garages, which some say will require updated fire safety protocols and additional modifications to accommodate the heavy weight of EVs.
The United Kingdom’s Institution of Structural Engineers released a new design guidance for parking garages earlier this year, pointing out a broad range of topics related to the structures, from EV weight, charging access and reduced noise levels to fire safety considerations (via CNBC). The guidance includes suggestions for the design of garages that are multi-story, underground or simply located inside offices or residential buildings.
Perhaps the most pressing topic included in the guidance for parking garages — called multi-story car parks in the U.K. — is the battery hardware used in EVs, which makes them much heavier than internal combustion engine (ICE) vehicles. With increased range models and a wider span of vehicle classes, EV weights will likely continue getting heavier in the future.
“This extra load and the changing fire safety requirements are all considerations not just for new car parks, but for existing structures too,” the institution writes in the report.
According to the group, average vehicle weights have increased from 1.5 metric tons (3,307 pounds) in 1974 to almost 2 metric tons (4,409 pounds) this year. As one example, Tesla’s forthcoming Cybertruck is a stainless steel behemoth, expected to weigh somewhere between 5,000 and 8,000 pounds (2.3 to 3.6 metric tons).
Institution fellow and co-author of the guidance Chris Whapples also notes that some newer EVs are well over 3 metric tons (6,614 pounds).
“The thing to bear in mind is that the ones that cause the damage, if you like, are the heavy vehicles — not the vehicles that are heavier than they were 40 years ago but still within the capacity of the design for car parks,” Whapples explained in an interview with CNBC. “We’re seeing increasing numbers now of SUVs, large executive cars — both fossil-fueled and battery ones — and pickup trucks, which are immensely heavy.”
Whapples details a handful of potential solutions for heavy vehicles, primarily including the need to retrofit older garages with increased structural support, either in specific spots that are determined to be weaker or in their entirety. He also notes that heavy vehicles could stay on ground floors to park, and garages could even screen the weights of cars as they enter.
“If one pickup is significantly overloaded and that car park is weak, that’s a potential disaster waiting to happen,” Whapples added. “We said, as an industry, we must actually check our car parks out and make sure that that’s not going to happen. Because what we want is the public to maintain confidence in our car parks and structural engineers.”
Another top concern detailed in the guidance was improving fire safety protocols in parking garages. Whapples notes that fire risks aren’t exclusive to EVs, adding that gasoline cars can also start fires and make situations more complicated. While EV fires aren’t considered more common than ICE vehicle fires, they can be especially tough to put out, he explains.
“To actually extinguish an EV fire is very, very difficult — particularly if the battery is on fire, because you’ve got so much energy that’s locked in,” Whapples said.
As for potential solutions, Whapples says that sprinkler systems could be an important way to mitigate fire spread, especially in underground car parks.
“Although the sprinkler system will not put out the car fire, it will reduce the rate of spread within the car park, so it’s constantly … ‘quenching’ the car next to the one that’s on fire, and stopping that one from catching fire,” Whapples explains.
All of these and more points will need to be considered ahead of mass EV adoption, both for existing garages and newly built construction. The International Energy Agency (IEA) expects EVs, buses, vans and heavy trucks to reach as many as 145 million units globally by 2030, though government ramp-up efforts could boost that number even more. In 2022, 10 million EVs were sold, including plug-in hybrids and battery-electric vehicles.
The discussions come ahead of Tesla’s initial release of the Cybertruck, which has been widely discussed for its large size, among other details. If many EVs are physically larger than ICE vehicles in the future, it could also require garages to be built with similarly larger parking spaces. Tesla has rolled out some wider and longer parking spaces at its Supercharger stations for the Cybertruck, a move that may be necessary for all parking structures down the road.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
