If you've opted-in to Tesla's assessment of your driving behavior, then you're likely trying to get access to Tesla's FSD Beta. In order to do that you'll need as high of a score as possible. The higher the score, the sooner you'll be granted access to the FSD Beta.
Tesla's very transparent about how your Safety Score is calculated. We'll share some information for each category Tesla is grading and also share some tips on how you can improve your score.
There are five categories that Tesla is actively measuring drivers against. It's important to be familiar with them, as not everything counts toward your Safety Score. Your performance in each category is measured to the median of Tesla's fleet.
Forward Collision Warnings (FCWs)
First, we have Forward Collision Warnings. This is the car giving you a warning that you're going at a high rate of speed relative to the distance you have to the object directly in front of you.
Tesla bases this off the ‘medium' setting in FCW. I'd recommend going to Autopilot > Forward Collision Warning and setting your personal alert level to ‘Early'. This way you'll be made aware of the potential collision before Tesla dings you for it.
There's not much to this one, except to keep your distance and slow down before you get too close to the vehicle or object in front of you.
Hard Braking
This is a tough one and the one I've struggled with the most. You'll want to very gradually slow down when coming to a stop. Quite a bit more than you'd likely think you need to. One harsh stop and you'll be dinged.
Tesla identifies hard braking as a backward acceleration greater than a g-force of 0.3. I personally love to take full advantage of the car's regenerative braking. So if I have a shorter distance to stop, I'll let my foot off the accelerator a little quicker to receive a higher level of regen, but doing so exceeds the 0.3g Tesla specifies and will set you back. Brake early and gradually to avoid any negative scores due to hard braking.
Aggressive Turning
Similar to harsh braking, Tesla is looking at the g-forces here when determining aggressive turning. If the lateral g-force exceeds 0.4g, then your score may be affected.
You'll want to make sure you're not going faster around turns. The tighter the turn, the slower you'll want to go.
Unsafe Following
This is the distance between you and the vehicle in front of you. It's similar to Forward Collision Warnings in that you'll want to make sure you leave enough room to stop between you and the vehicle in front of you, but Unsafe Following is only calculated when you're traveling above 50 MPH. An easy way to avoid penalties here is to use Autopilot with a follow distance greater than 3.
Forced Autopilot Disengagement
This is the act of using Autopilot and having it become disengaged because you didn't heed the warnings of applying pressure to the steering wheel. Not applying enough resistance on the steering wheel will not affect you here, neither will the car beeping. It is only considered a forced disengagement if the vehicle asks you to apply resistance three times and then disables Autopilot for the remainder of the trip.
Keep in mind that Autopilot will also be disabled if you exceed 90 MPH for vehicles with radar or 80 MPH for vision-only vehicles, while on Autopilot.
Tips
Although, I don't personally encourage this tip, as we want everyone to be fair, there is currently a way of having your drive not count toward your Safety Score. If you do a soft reset before you park your car, the drive will not be registered and will not count toward your overall Safety Score. This will likely be fixed in a future update.
Each driving category is weighted differently. So having Autopilot disabled isn't the same as having an instance of harsh braking.
Here is how much each category negatively affects your score, from the worst offender to the least.
Forced Autopilot Disengagement
Hard Braking
Aggressive Turning
Unsafe Following
Forward Collision Warnings
Autopilot
While you're driving on Autopilot your score is not negatively affected, even if the car follows too closely or gets a FCW. Tesla simply ignores any bad driving if Autopilot is engaged. You may want to consider using Autopilot in more situations when you feel it's safe.
If you're using Autopilot on city streets, remember to disengage it with plenty of time before your turn so that you can slow down gradually before taking the turn.
Acceleration
Although acceleration or speeding do not negatively affect your score, it could result in sudden braking or Forward Collision Warnings, which would impact your Safety Score.
Other Metrics
Tesla collects a lot of information on how we use our cars. They use this information to improve features, roll out new ones and make their cars safer.
Although Tesla is showing us these five metrics that they're using to assess your Safety Score, Tesla could potentially use more information than just your Safety Score when choosing the next batch of beta testers.
They're probably not looking for individuals who are driving 200 miles a day, or those that are rarely driving. You'll probably want to be in a sweet spot where you drive most days, but aren't taking long trips.
Tesla may also use information that is out of your control such as your geographical region or how long you've had your car.
Use Other Cars
If you're already driving your Tesla most days, don't take the chance of ruining a good score. If you're in a rush or already drove your Tesla today, consider taking a spouse's car when possible.
Save your Tesla for driving on familiar roads, roads where you know when a sharp turn may be coming up or where stop signs are. Use your Tesla when you have the extra time to take it slow and really focus on the road.
Lastly, be safe. We all want a high Safety Score, but at the end of the day we all need to come home in one piece.
If you're looking to figure out how many miles you'll need to drive to reach a specific score, such as 99, I strongly recommend using our Safety Score Calculator that will give you exactly that answer. After adding your data, you can choose a target score and know exactly how much more you'll need to drive to achieve your goal.
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Tesla appears to be preparing to expand its Robotaxi geofence in Austin, Texas, with numerous engineering vehicles taking to the road. One of the most interesting sights, between the short and tall LiDAR rigs, was a Cybertruck validation vehicle, which we don’t often see.
Tesla’s expansion is moving the Robotaxi Network into downtown Austin, a dense urban environment that is currently outside the geofence. It appears Tesla is content with the latest builds of Robotaxi FSD and is ready to take on urban traffic.
The inclusion of a Cybertruck in the validation fleet is noteworthy, as the rest of the vehicles are Model Ys. This suggests that Tesla may be addressing two challenges simultaneously: expanding its service area while also addressing the FSD gap between the Cybertruck and other HW4 Tesla vehicles.
Tesla Validating Downtown Austin before expanding the Robotaxi geo-fence area. pic.twitter.com/ylFATtjcDi
Recent sightings have shown a fleet of Tesla vehicles, equipped with rooftop validation sensor rigs, running routes throughout downtown Austin and across the South Congress Bridge. While these rigs include LiDAR, it’s not a sign that Tesla is abandoning its vision-only approach.
Instead, Tesla uses the high-fidelity data from the LiDAR as a ground truth measurement to validate and improve the performance of its cameras. In short, it essentially uses the LiDAR measurements as the actual distances and then compares the distances determined in vision-only to the LiDAR measurements. This allows Tesla to tweak and improve its vision system without needing LiDAR.
This data collection in a new, complex environment right outside the Robotaxi geofence is an indicator that plans to expand the geofence. Tesla has previously indicated that they intend to roll out more vehicles and expand the geofence slowly. Given that their operational envelope includes the entire Austin Metro Area, we can expect more locations to open up gradually.
Once they expand the operational radius to include downtown Austin, they will likely also have to considerably increase the number of Robotaxis active in the fleet at any given time. Early-access riders are already saying that the wait time for a Robotaxi is too long, with them sometimes having to wait 15 minutes to be picked up.
With a larger service area, we expect Tesla to also increase the number of vehicles and the number of invited riders to try out the service.
After all, Tesla’s goal is to expand the Robotaxi Network to multiple cities within the United States by the end of 2025. Tesla has already been running an employees-only program in California, and we’ve seen validation vehicles as far away as Boston and New Jersey, on the other side of the country.
Cyber FSD Lagging Behind
One of the most significant details from these recent sightings is the presence of a Cybertruck. Cybertruck’s FSD builds have famously lagged behind the builds available on the rest of Tesla’s HW4 fleet. Key features that were expected never fully materialized for the Cybertruck, and the list of missing features is quite extensive.
Start FSD from Park
Improved Controller
Reverse on FSD
Actually Smart Summon
It may not look like a lot, but if you drive a Cybertruck on FSD and then hop in any of the rest of Tesla’s HW4 vehicles, you’ll notice a distinct difference. This is especially evident on highways, where the Cybertruck tends to drift out of the lane, often crossing over the lane markings.
Tesla was testing parts of Downtown Austin, TX with this Cybertruck which had a massive roof rack, and sensors.
We previously released an exclusive mentioning that a well-positioned internal source confirmed with us that a new FSD build for the Cybertruck was upcoming, but we never ended up receiving that particular build, only a point release to V13.2.9. The AI team’s focus had clearly shifted to getting the latest Robotaxi builds running and validated, and while a flagship, the Cybertruck fleet was small and new, and really a secondary task.
The Cybertruck’s larger size, steer-by-wire, rear-wheel steering, and different camera placements likely present a bigger set of challenges for FSD. Deploying it now as a validation vehicle in a complex environment like downtown Austin suggests that Tesla is finally gathering the specific data needed to bring the Cybertruck’s capabilities up to par. This focused effort is likely the necessary step to refine FSD’s handling of the Cybertruck before they begin rolling out new public builds.
When?
Once Tesla’s validation is complete, we can probably expect the Robotaxi Network to expand its borders for the first time in the coming days or weeks. However, we’ll likely see more signs of the expansion, such as Robotaxi vehicles driving themselves around the area, before the expansion actually happens.
Hopefully, the Cybertruck will also learn from its older siblings and receive the rest of its much-needed FSD features, alongside an FSD update for the entire fleet.
Tesla is rolling out a fairly big update for its iOS and early-access-only Robotaxi app, delivering a suite of improvements that address user feedback from the initial launch last month. The update improves the user experience with increased flexibility, more information, and overall design polish.
The most prominent feature in this update is that Tesla now allows you to adjust your pickup location. Once a Robotaxi arrives at your pickup location, you have 15 minutes to start the ride. The app will now display the remaining time your Robotaxi will wait for you, counting down from 15:00. The wait time is also shown in the iOS Live Activity if your phone is on the lock screen.
How Adjustable Pickups Work
We previously speculated that Tesla had predetermined pickup locations, as the pickup location wasn’t always where the user was. Now, with the ability to adjust the pickup location, we can clearly see that Tesla has specific locations where users can be picked up.
Rather than allowing users to drop a pin anywhere on the map, the new feature works by having the user drag the map to their desired area. The app then presents a list of nearby, predetermined locations to choose from. Once a user selects a spot from this curated list, they hit “Confirm.” The pickup site can also be changed while the vehicle is en route.
This specific implementation raises an interesting question: Why limit users to predetermined spots? The answer likely lies in how Tesla utilizes fleet data to improve its service.
Here is the new Tesla Robotaxi pickup location adjustment feature.
While the app is still only available on iOS through Apple’s TestFlight program, invited users can download and update the app.
Tesla included these release notes in update 25.7.0 of the Robotaxi app:
You can now adjust pickup location
Display the remaining wait time at pickup in the app and Live Activity
Design improvements
Bug fixes and stability improvements
Nic Cruz Patane
Why Predetermined Pick Up Spots?
The use of predetermined pickup points is less of a limitation and more of a feature. These curated locations are almost certainly spots that Tesla’s fleet data has identified as optimal and safe for an autonomous vehicle to perform a pickup or drop-off.
This suggests that Tesla is methodically “mapping” its service area not just for calibration and validation of FSD builds but also to help perform the first and last 50-foot interactions that are critical to a safe and smooth ride-hailing experience.
An optimal pickup point likely has several key characteristics identified by the fleet, including:
A safe and clear pull-away area away from traffic
Good visibility for cameras, free of obstructions
Easy entry and exit paths for an autonomous vehicle
This change to pick-up locations reveals how Tesla’s Robotaxi Network is more than just Unsupervised FSD. There are a lot of moving parts, many of which Tesla recently implemented, and others that likely still need to be implemented, such as automated charging.
Frequent Updates
This latest update delivers a much-needed feature for adjusting pickup locations, but it also gives us a view into exactly what Tesla is doing with all the data it is collecting with its validation vehicles rolling around Austin, alongside its Robotaxi fleet.
Tesla is quickly iterating on its app and presumably the vehicle’s software to build a reliable and predictable network, using data to perfect every aspect of the experience, from the moment you hail the ride to the moment you step out of the car.
![Tesla Updates Robotaxi App: Adds Adjustable Pick Up Locations, Shows Wait Time and More [VIDEO]](https://www.notateslaapp.com/img/containers/article_images/tesla-app/robotaxi-app/25-7-0/robotaxi-app-25.7.0.webp/4ac9ed40be870cfcf6e851fce21c43b9/robotaxi-app-25.7.0.jpg)
