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Tesla combats Uber, Lyft congestion in New York City with Supercharger Congestion Fees
Tesla is combatting Uber and Lyft congestion at its Superchargers in New York City with Supercharger fees after the ride-sharing services have backed up EV chargers.
This week, it appears the Superchargers are more congested than normal, and it could be due to the influx of Uber and Lyft vehicles at locations in Brooklyn and Queens.
Dear @elonmusk and @Tesla please consider increased demand for the superchargers (240kw) and make the new ones nearby these locations- #Brooklyn #BayRidge #BathBeach #Bensonhurst #DykerHeights #Forthamilton
Please, cooperate with Tesla – @NYCMayorsOffice @nyctaxi @Uber pic.twitter.com/fYmPNr9EOt
— Vako Ormotsadze (@VOrmotsadze) January 12, 2024
This is not a great experience.
We need more supercharger locations in NYC. As a Tesla customer we shouldn’t have to go through this, second time this week. @elonmusk @Tesla @TeslaCharging @WholeMarsBlog @heydave7 @SawyerMerritt @DirtyTesLa @DillonLoomis22 pic.twitter.com/GVybsMdq8w— Tesla Shill (@TeslaShill) January 17, 2024
Tesla has sent this message to drivers in the area, indicating that Active Supercharger Congestion Fees will be applied:
“Idle fees have been replaced by congestion fees at select Superchargers near you. Congestion fees accrue when your Supercharger is busy and your vehicle’s battery is above a certain level. This change helps reduce wait times and ensures that everyone has access to Superchargers when they need it.
Congestion fees apply when:
- Supercharger is busy
- Your vehicle’s charge is above the congestion fee charge level
View congestion fees and charge levels at which they apply on your touchscreen.”
The number of Lyft and Uber vehicles that applied for licenses through the New York City Taxi and Limousine Commission (TLC) was well over 9,000 units last year, and several NYC Councilmembers warned that this could cause congestion.
The TLC eliminated the cap on for-hire drivers as long as the vehicles are electric or handicap accessible, but there are now so many in the city that it is causing issues.
On top of this, there are only so many charging stations in the City, and several are operated by Revel, the ride-sharing service that fought the TLC for more for-hire licenses several years ago.
Tesla Model 3 wins hearts as famed NYC Taxi, picks up where Nissan Leaf couldn’t
As for congestion fees, Tesla launched them last year in an attempt to keep Supercharger lines moving when certain locations are congested.
Code from Tesla hacker green stated that the congestion fees would apply when vehicles are charging over 80 percent.
Potential Solutions
The big issue and core problem is that there are a lot of EV drivers in New York, but the infrastructure just has not gotten to a point where it can routinely handle an influx of cars that need a charge.
Revel has been expanding its network of EV chargers throughout New York City and plans to open more stations this year.
Spokesperson Robert Familiar told us:
“Revel’s public fast-charging Superhubs have seen about four times more public utilization in the last two months, which we see as a direct outcome of the Green Rides initiative. We’re anticipating an even greater uptick as more drivers look to skip long lines and hidden fees by charging at our higher-volume Superhubs.”
The 2018 Green Rides initiative has been great for EV adoption, but it surged demand so much that it generally outpaced infrastructure availability.
Jason Kersten, the Press Secretary of the NYC TLC, told me that there will be growing pains until the City is able to build out the appropriate amount of infrastructure. EVs are obviously a great thing for New York, and we talked in detail about the transitional phase that the City will go through over the next 11 years as it gears up for a 100 percent zero-emissions fleet.
TLC Commissioner David Do believes infrastructure will need to catch up as drivers under the Commission jumped at the opportunity to own EVs last year:
“In October, we gave TLC drivers the option of owning their own EV plates instead of continuing to lease gas-powered vehicles, and many of them jumped at it. They’re now hitting the road, leading the charge towards a cleaner and more sustainable city and sending a very clear message: We need more charging infrastructure. We’re doing everything we can to meet that demand as quickly as possible. That includes the city’s commitment to install 13 fast charging hubs in municipal parking facilities citywide, a new Bronx charging depot, and 30 fast chargers at TLC’s Woodside inspection facility.”
88 percent of the 9,756 applications the TLC received between October 18 and November 13 were from individual drivers, not companies. The TLC has, so far, approved 4,732 and continues to process applications.
The TLC and the City of New York have worked together to increase charging infrastructure moving forward. The efforts have resulted in $15 million in federal funding for a charging depot in the Bronx, 30 fast-chargers at the TLC’s Woodside inspection facility, and 13 municipal parking facilities citywide, among other things.
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News
Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
News
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
News
Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
