A new report shows that commercial vehicles are much higher polluters than passenger vehicles despite making up a much smaller portion of cars on U.S. roads. For this reason, the study’s authors say the U.S. should prioritize electrifying the commercial vehicles sector rather than just focusing on passenger vehicles.
PepsiCo- and KPMG-backed software logistics company Adiona Tech shared the Connected Thinking report on Tuesday, which suggests that last-mile combination trucks be electrified as soon as possible to help fight CO2 emissions. The company says that all urban deliveries of groceries, parcels, furniture and other goods should be performed by electric vehicles (EVs) by 2025.
“Commercial vehicles are a much bigger polluter than passenger cars and they are in desperate need of modernization,” Adiona writes in the report. “Large combination trucks are just 1 percent of vehicles on the road, but they produce 18 percent of vehicle emissions.”
The study compared Bureau of Transportation Statistics figures from 2019 to those of 2020 and 2021, looking at vehicle miles driven by passenger cars and trucks, along with their associated emissions. What it found was that emissions decreased significantly in 2020 and 2021, while truck miles and their associated emissions increased above 18 percent of road traffic emissions.
Sources: Connected Fleet data; BTS, fuel consumption by mode, additional combination truck stats, additional car stats, additional single-axle truck stats. Credit: Adiona Tech
The report included several key findings, notably including that the average fuel consumption of combination trucks is roughly 20 times higher than that of a passenger vehicle. The report also says that switching just five of these combination trucks to green alternatives — such as hydrogen fuel cells or lithium batteries — would be comparable to the effects of buying EVs for 100 households.
While the average truck drives about 22,930 miles annually, the report notes that large combination trucks travel an average of 59,929 miles in the same period, and single-unit trucks only average 12,278 miles annually.
According to data sourced from the Bureau of Transportation, light-duty vehicles with a short wheelbase have an average fuel consumption of 481 gallons per year, compared to 640 gallons consumed on average by light-duty vehicles with long wheelbases, and 1,639 gallons on average by single-unit, two-axle trucks with six tires or more. However, the data also shows that combination trucks consume an average of 9,909 gallons annually.
In a press release, Adiona Tech CEO Richard Savoie highlights the need to prioritize larger freight in the fight against carbon emissions, beginning with those that travel the most.
“America needs to aggressively decarbonize the biggest emitters on the road, large freight and delivery vehicles,” Savoie said in the release. “The US automotive industry is at a crossroads, but it needs to act now to electrify every car on the road. Doing so requires connected thinking and collective action. We cannot transform the national fleet of nearly 300 million vehicles overnight, so we need to make decisions that make the biggest difference, for the lowest effort first.”
The passenger vehicle sector has adopted EVs much more quickly than others, as several automakers have now followed Tesla’s lead in building fully electric vehicles. While electrifying every car is still an important goal, Savoie explains, it shouldn’t be the only one.
“Frankly, the data shows that consumer adoption of EVs should not be America’s number one priority,” Savoie said. “Electrifying fleets is by far the most efficient way to reduce vehicle emissions. Every battery we put in a combination truck counts for 20 households buying an EV, and businesses often have fleets of hundreds of vehicles.”
“We must prioritize the electrification of these vehicles that are on the road most, travel the longest distances, and are the least fuel-efficient,” Savoie added.
Several companies have begun piloting or at least stated plans to purchase electric last-mile delivery vehicles, including FedEx, Amazon, Walmart and more.
Adiona Tech backer PepsiCo is one of the first companies to have begun electrifying its semi-truck fleet after purchasing an initial batch of Tesla Semis last year. A recent event showed some serious range results for the Semi, and PepsiCo detailed last month how the truck was helping it reach its own sustainability goals.
You can read the full report from Adiona Tech here.
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Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
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 crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
