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Aurora Innovation Surges as New Robot <b>Truck</b> Deal Ignites Hype

Aurora Innovation ( (AUR) ) is experiencing volatility. Read on for a possible explanation for the stockâs unusual movement. End of Quarter Sale - 70% Off - Unlock powerful investing tools and data-driven insights with TipRanks Premium for more confident investment decisions. - Discover top stock picks and new investment opportunities through TipRanks' Smart Investor Newsletter. Aurora Innovation shares are jumping as investors cheer the companyâs new partnership with McLane Company, which aims to bring autonomous trucks into the U.S. restaurant supply chain. The move is seen as a concrete step toward commercial deployment, reinforced by an independent safety review that backed the Aurora Driverâs performance and by reports of big institutions building positions. The stockâs rally is driven less by broad market forces and more by confidence that Aurora is closer to real-world revenue and enjoys a strong safety reputation, key for regulators and customers. While no specific price targets were mentioned, the combination of commercialization progress and validation from partners and safety assessors is giving traders fresh reasons to buy. Looking ahead, Auroraâs sizable cash reserves and light debt load give it financial breathing room to keep funding research, product launches and factory buildouts without constantly rushing back to markets for cash. That balance sheet cushion makes it easier for long-term investors to stay patient while the company works to scale its self-driving truck business. However, Aurora is still burning a lot of cash and generating very little revenue, which means the business remains highly dependent on future growth actually materializing. If commercialization takes longer than expected, or if key manufacturing partners and timelines slip, the company could face more dilution, a longer path to profitability and renewed questions about its ability to stand on its own. More about Aurora Innovation YTD Price Performance: 77.60% Average Trading Volume:

8 China <b>autonomy</b> plays as EACON Hong Kong IPO opens | NAI 500

EACON’s Hong Kong flotation is the clearest signal yet that China’s physical AI is scaling into global capital markets. The autonomous mining specialist launched a global H-share offering of 26.13 million shares, guiding for HK$2.12 billion to HK$2.30 billion in gross proceeds, and is set to become the world’s first listed autonomous mining solutions provider. With 2,580 active autonomous mining trucks and a 55.5 percent share of China’s AHS market by vehicle count in 2025, EACON brings scale, data, and operating proof rarely seen in industrial autonomy. That is exactly what global investors have been waiting for: a high-velocity, high-barrier China platform at the intersection of AI, heavy equipment, and hard-asset productivity. The cornerstone roster tells the story. Zijin Mining and XCMG are in, alongside Fidelity International, JP Morgan Asset Management, Barings, Indus Funds, Jain Global, Regal, GF Funds, CDH, and Seven Grand. Cornerstones have taken roughly half the deal, the regulatory cap. Industrial validation plus blue-chip capital is a decisive combination for an IPO debutant. It helps that EACON’s operating metrics have inflected: annual haulage mileage jumped from 4.6 million to 61.8 million kilometers; annual material volume rose from 30.6 million to 308 million cubic meters; and the fleet has maintained a six-year safety record. The company’s full-stack L4 system integrates software, sensors, and control for heavy-duty trucks across coal, metal, and non-metal mines. That embedded capability—hard to copy without the data flywheel—is the moat. This float is also a vote of confidence in Hong Kong’s role as the go-to venue for capitalizing China’s industrial AI. International long-only funds and resource specialists are leaning in. Regal’s participation is notable as its first cornerstone commitment in a Hong Kong IPO in more than two decades, signaling confidence in an expansion vector into Australia’s mining belt. The Hong Kong market gives

MasAuto Aims to Launch Fully <b>Autonomous</b> Freight Transport from Busan to the U.S.

MasAuto, a startup specializing in autonomous driving for large trucks, has announced its vision to deliver South Korean export goods to the United States using fully unmanned technology. Utilizing end-to-end (E2E) AI-based trailer autonomous driving technology, the company aims to achieve 100% unmanned delivery from Busan Port in South Korea to West Point in the U.S., via Long Beach Port, while also addressing logistics efficiency through 'empty transport.' The company reports a surge in orders from clients in South Korea and the U.S., projecting revenues of 6.3 billion won this year and 14.9 billion won by 2027. During a press briefing on July 1 in Gangnam, Seoul, CEO Park Il-soo stated, "The biggest issue with existing autonomous driving systems is the high initial investment cost and the difficulty of technological scalability. To address this, MasAuto's 'Mas Pilot' offers autonomous driving technology that can be deployed immediately at a cost that is one-twentieth of traditional methods, providing limitless scalability." Founded in 2017 by Park, a KAIST graduate, MasAuto has developed a camera-based E2E AI similar to Tesla's, with the goal of achieving complete unmanned freight transport by 2028. The flagship product, 'Mas Pilot,' is already installed in 14 domestic clients' fleets, operating autonomously on 97% of their routes. As of the first half of this year, the technology has accumulated 2.5 million kilometers of autonomous driving, successfully gathering 20 million kilometers of real-world driving data essential for enhancing E2E AI. The company has also recorded autonomous freight transport over distances exceeding 7,000 kilometers in the U.S. At the briefing, MasAuto announced plans to establish a 'self-driving logistics network' that will connect export goods to Busan Port, marking the first introduction of trailer autonomous driving in South Korea. The company also unveiled its next-generation Level 4 autonomous driving AI model, 'MarsNet 3,'

PepsiCo and its fleet of <b>driverless trucks</b>: this is how it accelerates product delivery with AI

PepsiCo announced a multi-year strategic partnership with technology company Gatik to integrate driverless autonomous trucks into its North American food and beverage supply chain. The initiative represents the largest commercial deployment of autonomous freight transportation—driverless trucks—ever carried out. READ ALSO. Long before Tesla, this brand launched an electric car in 1972 that few remember The agreement will expand Gatik’s existing operations for PepsiCo in Texas, Arizona, and Arkansas, where its autonomous vehicles already transport goods daily along high-frequency regional routes. The company explained that the strategy is part of its goal to build a more innovative, resilient, and responsive logistics network capable of adapting more quickly to market demand. How will PepsiCo’s autonomous trucks operate? The vehicles developed by Gatik are designed to perform end-to-end deliveries on both highways and urban roads. Their artificial intelligence system can dynamically reorganize routes, add new delivery points, or modify routes as operational needs change across distribution centers. According to PepsiCo, this flexibility will improve on-time deliveries, increase logistics capacity, and reduce distribution variability without requiring significant changes to existing infrastructure. The company emphasized that these regional routes are essential for maintaining the steady flow of products between manufacturing plants, warehouses, and distribution centers. PepsiCo aims to build a more efficient supply chain Jim Farrell, PepsiCo’s Senior Vice President of Supply Chain, said the company requires logistics infrastructure that is prepared for future challenges. “Serving our broad customer network requires a supply chain that is safe, reliable, and future-ready. Gatik already operates within our networks and brings the autonomous transportation technology, commercial expertise, and scale we need to strengthen service, expand capacity, and move products more consistently for our customers,” he said. PepsiCo products are consumed more than one billion times every day across more than 200 countries and territories, making its logistics network

Quarterhill to acquire Conduent tolling business in $70 million deal

Quarterhill to acquire Conduent tolling business in $70 million deal Toronto-based Quarterhill has agreed to acquire Conduent’s tolling business in a transaction the company says will nearly triple its tolling revenue and create one of the industry’s largest providers of intelligent transportation systems. The deal includes $70 million in cash, subject to adjustments, plus Quarterhill shares representing 7% of the company’s outstanding stock. Quarterhill said it expects to finance the cash portion through debt. The transaction is expected to close in the fourth quarter, pending regulatory approvals and other customary conditions. Quarterhill said the acquisition will create a combined tolling platform with about $2 billion in backlog, providing long-term revenue visibility. On a pro forma basis, the combined business would generate more than $400 million in annual revenue. “This is a transformational transaction for Quarterhill, and one the Board enthusiastically supports,” said Rusty Lewis, chairman of Quarterhill’s board of directors. “Conduent’s tolling solutions business brings scale, long-term agency relationships, proven technology capabilities and deep tolling expertise in a core market.” Conduent’s tolling business provides electronic toll collection, open-road and all-electronic tolling systems, automated license plate recognition, vehicle detection and classification, payment processing, customer service, invoicing and back-office operations for transportation agencies primarily in the U.S. and the U.K. Quarterhill CEO Chuck Myers said the acquisition advances the company’s strategy of building a larger and more profitable intelligent transportation systems platform. “With greater scale, enhanced backlog visibility and meaningful adjusted EBITDA contribution after anticipated day-one synergies, we believe Quarterhill will have a stronger foundation for long-term growth,” Myers said. While the acquisition is focused on tolling, Quarterhill also has a significant presence in the commercial vehicle sector through its intelligent transportation businesses, which provide weigh station screening, commercial vehicle inspection technologies and traffic management systems used by transportation agencies across North

<b>Autonomous</b> Trucking Expansion: 7 Powerful but Cautious Signals From California Rules ...

- Autonomous trucking expansion is entering a new phase as California opens a staged permitting path for heavy-duty AV testing and deployment. - Kodiak AI’s growth shows the technology is moving beyond pilots, with freight lanes, industrial use cases, SensorPods, Bosch hardware integration, and advanced safety validation shaping the next commercial stage. - Tank fleets should read the fine print: California’s current rules exclude bulk-liquid commercial motor vehicles requiring a tank endorsement, making tank autonomy a later and more complex frontier. Autonomous Trucking Expansion: California Rules, Kodiak Growth, and the Technology Integration Behind the Next Freight Phase California has opened a new door for autonomous trucking expansion. Still, the industry should be careful not to confuse that door with a blanket approval for every freight segment. The state’s updated autonomous vehicle rules create a permitting path for heavy-duty autonomous vehicle testing and deployment, while companies such as Kodiak AI are pushing the technology deeper into commercial freight, oilfield logistics, industrial operations, and hardware-scale partnerships. For tank fleets, the most important part of the story is not simply that driverless heavy-duty freight is moving forward. It is that the first wave is being shaped by technical limits, operating-domain restrictions, safety cases, emergency-response requirements, remote operations, and a clear California carveout affecting bulk-liquid commercial motor vehicles that require a tank endorsement. That makes this moment more important than a typical regulatory update. Autonomous trucking expansion is entering a phase in which policy, software, sensors, manufacturing, fleet maintenance, insurance, customer-site integration, and public-safety procedures must work together. The technology is no longer judged only by whether a truck can stay in its lane on an interstate. It is being judged by whether it can become a dependable freight system. For more reporting, follow Tank Transport Trader’s related coverage on autonomous truck development. “The

AI stocks face reality check as ROI outside tech remains elusive, Apollo says

Artificial intelligence valuations remain heavily dependent on one key assumption: that companies outside the technology sector will eventually translate AI investments into meaningfully higher profit margins, according to Apollo Chief Economist Torsten Slok. Slok argues that evidence of those gains

From <b>Autonomous</b> Mining <b>Trucks</b> to the &quot;Brain&quot; for Heavy-Duty Embodied AI — BigGo Finance

CiDi Pivots to Trillion-Yuan Market: From Autonomous Mining Trucks to the "Brain" for Heavy-Duty Embodied AI Just six months after claiming the title of "first autonomous mining truck stock" on the Hong Kong Stock Exchange, CiDi (03883.HK) is no longer content with being a leader solely in the transport segment. At the Transport Logistic China 2026 expo in June, CEO Hu Sibo systematically articulated a more ambitious strategic pivot for the first time: becoming the "brain" for heavy-duty embodied AI, extending the company's business from mining transport into the full chain of high-risk operational scenarios, including drilling, blasting, excavating, and loading. Hu Sibo distilled the core logic of this new direction into a concise formula: Heavy-Duty Embodied AI = Physical AI × Heavy Machinery × High-Risk Operations. In his view, physical AI is the technological engine, heavy machinery is the physical carrier, and high-risk operations represent the essential application scenarios. The combination of these three elements creates a powerful multiplier effect. The foundational judgment behind this layout is that artificial intelligence must penetrate the core industries that truly transform the physical world, and that resource extraction, global logistics, and large-scale infrastructure represent the most socially valuable landing points for the AI dividend. The original motivation is direct and simple. "Send machines to the most dangerous places, and bring people back to the safest positions," Hu Sibo stated. "What heavy-duty embodied AI does is not replace human jobs, but liberate people from mining truck cabins, blasting sites, and kilometer-deep shafts." The Inevitable Leap from Transport to Operations CiDi's confidence is built on the proven commercial closed loop of its autonomous mining truck business. As of February 2026, the company had deployed over 1,700 autonomous mining trucks, creating the world's largest mixed fleet of unmanned and manned vehicles, with operational scenarios spanning

Jungheinrich takes stake in Navflex to automate <b>truck</b> loading

Jungheinrich is taking a stake in Navflex, a technology company specialising in Physical AI and the automation of truck loading and unloading. The investment strengthens the partnership between the two companies, with the aim of bringing an autonomous solution for one of the last non-automated core processes in intralogistics to market. Development is focused on the requirements of the European and North American markets. Navflex, established in Germany and the United States, focuses on automating truck loading and unloading, one of the most technically demanding use cases in intralogistics. Different trailer geometries, changing load carriers and confined space conditions place high demands on technology, safety and reliability. Demand for automation at the loading dock is particularly high, as labour-intensive processes meet a shortage of skilled workers and increasing pressure for efficiency. “Loading and unloading trucks is a key bottleneck in the material flow for many of our customers,” says Dr Tobias Harzer, chief automation officer of Jungheinrich. “Together with Navflex, we are developing a solution that specifically addresses this process and reliably automates it. In addition to robustness, compactness, and maneuverability at the loading dock, we place particular emphasis on safety – especially in environments where humans and machines operate side by side.” As part of the collaboration, Jungheinrich combines its expertise in developing industrial trucks and autonomous mobile robots, its industry knowledge and its systems integration and service capabilities with Navflex’s software and robotics expertise. The joint solution is based on an industrialised vehicle platform from Jungheinrich that is being further developed for automated operation at the loading dock. The result is an autonomous mobile solution tailored to variable dock environments, which can be integrated into existing logistics processes without additional infrastructure. Navflex contributes software for autonomous perception, navigation, safety and process logic in the truck environment. “We deliberately

Etrucks to distribute Zeron electric <b>trucks</b> in Australia and NZ

Auckland-based Etrucks has been appointed the Australian and New Zealand distributor for Chinese electric truck manufacturer Zeron, with the company’s flagship battery-electric prime mover scheduled to arrive in both markets by January 2027. The first model to be introduced will be the Jingzhe, a 6×4 prime mover powered by a 600kWh CATL chassis-mounted battery. The truck produces up to 1060hp and features Zeron’s proprietary Matrix integrated electric drive axle system which combines the motor, transmission, axle housing and power take-off into a single assembly. According to the company, the drivetrain delivers around 94% efficiency with a range of 325km at 49t highway speeds and 410km at metro speeds. The vehicle can recharge from 20% to 80% in 39 minutes using 4 x 300A fast charging. Etrucks director Ross Linton says the appointment will bring a new generation of electric heavy trucks to operators in Australia and New Zealand. “Zeron is a 2022 startup with 2000 trucks already running in China,” he says. “Their focus is to build the most efficient and reliable EV platforms to enable the roll out of L4 autonomy for road transport.” Linton says Zeron has attracted significant backing since its launch. “Zeron have attracted a serious portfolio of investors. They remain the only truck manufacturer that CATL have invested in directly.” He says the company’s founders bring extensive expertise to the business. Zeron was founded by three senior executives with extensive experience in autonomous driving and heavy truck manufacturing. Chief executive Huang Zehua co-founded autonomous trucking company TuSimple and led development of its autonomous driving systems before the company became the first autonomous driving business to list on the Nasdaq. President Zhang Hongsong previously held senior engineering roles at SANY Heavy Trucks and Beijing Foton Daimler, while chief operating officer Zhang Wei has more than 25

Tiny Swarm Robots Boost Mining Efficiency

Tiny Swarm Robots Boost Mining Efficiency Tiny swarm robots inspired by ants and bees could boost efficiency by up to 80% in mining operations. What comes to mind when you think about the types of robots that are involved in mining? For most people, it’s probably big autonomous trucks that are used for hauling, or robotic drilling and blasting systems that clear earth out of the way. However, these big, impressive machines are not the only ones that have a place in the field. There are also tiny robots that scurry about to make mining safer and more efficient. A particularly interesting system of this sort was just described by a trio of researchers at the University of Adelaide. Instead of focusing on massive industrial equipment, the team explored how groups of inexpensive swarm robots could cooperate to transport ore more efficiently. Their work borrows ideas from nature, specifically the foraging behaviors of leafcutter ants and honeybees, to determine whether decentralized robots can outperform more conventional approaches in simplified mining scenarios. The researchers implemented three different strategies using a commercial robotics platform. The first, called the Baseline model, is intentionally simple. A single robot travels down a haul route until it discovers an ore deposit, returns it to the base, then heads back out to continue searching. While easy to understand and implement, this approach wastes considerable time repeatedly traveling over the same ground. The second strategy, inspired by leafcutter ants, divides the work between two robots. One serves as a loader that continuously explores and identifies ore, while the other acts as a dedicated hauler responsible for transporting material back to the base. This tandem approach allows exploration and transportation to occur simultaneously, reducing idle time and improving overall throughput. The third strategy takes inspiration from honeybees. Rather than

AI Takes Over the Tarmac: Russia Successfully Tests <b>Autonomous</b> Airport <b>Trucks</b>

Russia has made another major stride toward the automation of industrial logistics by successfully testing autonomous cargo vehicles that were developed domestically at Zhukovsky International Airport, which is located near Moscow. The trials, which were conducted in the spring of 2026, were the first to evaluate Russian-built driverless cargo trucks in an actual airport operational environment. While operating consistently in temperatures ranging from minus 26 degrees Celsius to plus 31 degrees Celsius, the autonomous platforms conducted 150 missions over a three-month period. A New Era in Airport Logistics The platform developed by the Russian company EvoCargo was designed from the ground up as a driverless freight transport system, in contrast to conventional autonomous vehicles that are constructed by removing the driver from an existing vehicle. The absence of a driver’s interior is due to the fact that the vehicle was never designed to accommodate a human operator. Rather, it functions as a universal autonomous cargo platform that is capable of transporting freight throughout controlled industrial environments. This comprises the transportation of cargo containers, baggage, mail, and other equipment between aircraft stands, cargo terminals, warehouses, and maintenance facilities at airports. The platform is designed to optimize cargo capacity while minimizing vehicle weight and maintenance requirements, as it is specifically designed for repetitive logistics operations rather than public-road transportation. This design philosophy also facilitates operation and reduces manufacturing costs. The company asserts that the system is not solely a robotic truck, but rather a comprehensive logistics automation platform that can be seamlessly integrated into industrial supply chains and airport ground handling operations. Additionally, its modular architecture enables it to be customized for use in a variety of industries that necessitate predictable and repetitive cargo transportation. Real-World Airport Conditions as opposed to Laboratory Tests The autonomous vehicles were assessed under genuine operating conditions,

Building the intelligent mine: Why integration will define mining's next era

Read this article in 中文 Français Deutsch Italiano Português Español Building the intelligent mine: Why integration will define mining’s next era Partner Content produced by KHL Content Studio 30 June 2026 Yu Xiao Ying, Head of Smart Mining Projects at Zoomlion, talks to KHL Content Studio about how mining – and mining equipment – is changing… At Zoomlion, we see three forces shaping the future of mining: productivity, safety and sustainability. Together, they are driving the adoption of autonomy, electrification and digitalisation at a rapid pace. For this reason, these three elements are the three pillars of the smart mine. None can be absent, and they must evolve together to deliver maximum benefit. Moving beyond individual machines One of the biggest misconceptions about mining automation is that it is simply about autonomous trucks or remote-controlled equipment. In reality, the value comes from connecting machines, people and data into a single intelligent ecosystem. At Zoomlion, our smart mine architecture is built on three layers: machine intelligence, fleet intelligence and cloud intelligence. At the machine level, autonomous haul trucks can perform functions such as path planning, obstacle avoidance, automatic parking and excavator-truck coordination. At the fleet level, autonomous trucks and remotely operated excavators work together to enable fully integrated shovel-load-haul-dump operations. Above this sits cloud intelligence, where digital twins, equipment health monitoring and operational analytics provide real-time visibility across the entire mine. The smart mine is essentially a complex system of multiple equipment types and processes, not just a collection of individual machines. The fleet scheduling system acts as the central nervous system, connecting everything together. This system-level coordination is critical. Even highly intelligent machines cannot deliver their full value if they operate independently. The real gains come from reducing waiting times, minimising empty travel, optimising equipment utilisation and improving decision-making across

City Driving Redefined: Inside a Futuristic <b>Autonomous</b> Vehicle

Neil Abt is senior editor of trucknews.com. He is a veteran journalist with 30 years of experience in reporting and public relations. Neil began his career covering sports for The Washington Post, followed by a position in the newsroom of America Online (AOL). He later held both reporting and leadership roles at Transport Topics and Fleet Owner, and served as vice-president of public relations at ISAAC Instruments. Neil is based out of Portland, Oregon. Reach him at neil@trucknews.com Have your say This is a moderated forum. Comments will no longer be published unless they are accompanied by a first and last name and a verifiable email address. (Today's Trucking will not publish or share the email address.) Profane language and content deemed to be libelous, racist, or threatening in nature will not be published under any circumstances. We have changed the way we showcase trucks and trailers available for sale – and now send the details right to your email inbox. Simply click here to subscribe to our bi-weekly HD Hotlist for the listings. We use cookies to make your website experience better. By accepting this notice and continuing to browse our website you confirm you accept our Terms of Use & Privacy Policy. Have your say This is a moderated forum. Comments will no longer be published unless they are accompanied by a first and last name and a verifiable email address. (Today's Trucking will not publish or share the email address.) Profane language and content deemed to be libelous, racist, or threatening in nature will not be published under any circumstances.

NHTSA proposes removing brake pedal from automated vehicles

NHTSA proposes removing brake pedal from automated vehicles The National Highway Traffic Safety Administration has proposed ending a requirement that vehicles designed exclusively for automated driving have manual brake pedals. “We are at the cusp of the greatest technological revolution in vehicle technology since the innovation of the Model T,” said NHTSA Administrator Jonathan Morrison. “If we want America to lead the way, we have to reimagine our regulatory framework.” NHTSA said these vehicles would still be required to meet the same stopping distance performance criteria through alternative testing procedures. The proposal is part of the agency’s effort to eliminate unnecessary requirements for automated vehicles not designed for a driver, such as windshield wipers and rearview mirrors. All existing regulations still apply to automated vehicles that retain manual controls. NHTSA also said it is separately developing safety performance requirements for automated vehicles in real-world driving scenarios. “Today’s action by the National Highway Traffic Safety Administration is another brick in the wall of a federal policy framework for autonomous vehicles,” said Autonomous Vehicle Industry Association CEO Jeff Farrah. ”AVIA commends the ongoing leadership of Transportation Secretary Sean Duffy and NHTSA Administrator Jonathan Morrison. Their ongoing development of AV regulations will help facilitate American leadership in autonomous vehicles.” The agency is accepting public comments until July 27. Have your say This is a moderated forum. Comments will no longer be published unless they are accompanied by a first and last name and a verifiable email address. (Today's Trucking will not publish or share the email address.) Profane language and content deemed to be libelous, racist, or threatening in nature will not be published under any circumstances.

NHTSA's AV program headed for scrap heap

NHTSA’s AV program headed for scrap heap The National Highway Traffic Safety Administration’s proposed program for autonomous vehicles drew criticism for its lack of mandatory reporting requirements. A little more than a year later, the agency announced that it is scrapping the program. The Owner-Operator Independent Drivers Association, one of the original critics, applauded the move but also called for a federal framework that prioritizes safety. Withdraw of AV STEP Program NHTSA issued a 2025 notice proposing a voluntary framework for evaluating and overseeing motor vehicles equipped with automated driving systems. The Autonomous Vehicle Safety, Transparency and Evaluation Program (AV STEP) would be established “with the goal of improving public transparency related to the safety of certain autonomous driving system-equipped vehicles, while allowing for responsible development of this technology.” The program quickly drew criticism from such groups as OOIDA, the Truck Safety Coalition and the North Carolina Department of Transportation. On Friday, June 26, the agency announced that it plans to go in a different direction. “The comments revealed that neither industry stakeholders, who viewed the program as overly burdensome for a voluntary initiative, nor safety advocates, labor unions and others, who argued the program was insufficient because it lacked mandatory requirements, felt the proposal would accomplish its objectives of stimulating participation while ensuring an appropriate level of safety oversight,” NHTSA wrote in the notice. NHTSA said it believes the goals of AV STEP will be better served by other initiatives the agency anticipates will advance safety and promote the innovation of ADS technologies. “The agency is certainly right to withdraw the AV STEP program,” said Jay Grimes, OOIDA’s director of federal affairs. “The voluntary structure of AV STEP would not have implemented the necessary transparency and safety oversight of autonomous vehicles currently operating on our nation’s roads. Unfortunately, USDOT