Waymo will begin testing its fully autonomous passenger cars without a human driver on freeways in Phoenix to soon help Waymo One riders get where they’re going safely and efficiently. Just as we've taken a phased approach to rolling out our technology and operations in the past, we will continue to deploy in a step-by-step manner, first providing rider-only trips to our employees on freeways across Phoenix.

Safety leads everything we do at Waymo. This year alone, Waymo has served over 700,000 ride-hailing trips with public riders and no human driver. We couldn’t have hit that milestone without putting safety front and center, and we are working hard to improve the measurement, transparency, and performance of our fleet.

At Waymo we are continuously pushing the boundaries of AI innovation and contributing to the research community, which is why today we are announcing Waymax – a lightweight simulator developed specifically for autonomous driving research.

Imagine if you could automatically learn from the driving experiences of others on the road, absorbing knowledge about all the complicated scenarios they've encountered. The Waymo Driver covers tens of thousands of miles — equivalent to a lifetime of human driving experience — in a matter of days; in simulation, it does so in minutes. But driving is a social and complex task, so it’s not just about accumulating miles, but learning from each one. Our Driver has a unique ability to learn from road events across the entire fleet, advancing its capabilities at incredible speeds. This rapid pace of learning is one of the key factors that has enabled our recent expansion across multiple major U.S. cities. Here’s a glimpse of some technological advancements that have directly contributed to our progress, as well as areas where we continue to accelerate and improve.

Speeding is one of the leading causes of death on the road. In 2020, speeding was a contributing factor in 11,258 deaths and 308,013 injuries, accounting for nearly one-third of all traffic fatalities and 13% of injuries in the U.S., according to the NHTSA. Safety initiatives such as Vision Zero have been instrumental in helping cities design streets, set speed limits, and implement policies to reduce speeding and lessen the likelihood and forcefulness of crashes. The Waymo Driver can help achieve that important goal.

Excitement and caution often go hand-in-hand when a new, transformative technology is introduced. I’ve seen it many times in my career while working on innovative rocket launches, commercial space satellites, and now autonomous driving in my role as Chief Safety Officer at Waymo. Case in point, when it comes to Waymo’s autonomous vehicles, I hear two questions most frequently.

When arriving at your destination and opening the door, how often do you stop to think who might be on the other side? According to the San Francisco Municipal Transportation Agency, collisions with bicyclists when a vehicle's door opens into moving traffic, or "dooring," is the second most common collision that results in injury or fatality. To help prevent 'dooring' events, Waymo implemented new and more effective methods to help inform riders when other road users are nearby by employing the same sensing technology the Waymo Driver uses to navigate roadways autonomously.

It's essential to understand the aerodynamics of the different vehicle platforms on which Waymo's autonomous driving technology is applied to build and operate an efficient system – especially when running at full capacity in various conditions such as rain, fog, snow, or extreme temperatures. By using physical tests and state-of-the-art simulation tools, we can optimize energy use, improve sensor performance, and build a safe, stable, scaleable autonomous Driver.

For many years, Waymo has relied on an established safety framework — a comprehensive set of methodologies that we use to assess the safety of our technology and operations and that guides the deployment of the Waymo Driver. Our robust safety framework has enabled us to launch the world’s first fully autonomous ride-hail service, Waymo One, and expand our 24/7 operations with no human driver across multiple major U.S. cities. Today, residents of Metro Phoenix and San Francisco rely on Waymo to commute, run errands, meet friends and get a safe ride home as part of their daily lives.

Waymo’s recent technology advancements and rapid expansion across Phoenix, San Francisco, and Los Angeles wouldn’t be possible without the underlying innovative research that helps drive our progress forward. As a pioneer in the AV industry, we have continuously contributed to the research community through publishing and expanding the Waymo Open Dataset — one of the largest and most diverse autonomous driving datasets ever released. Today, we are excited to announce the latest expansion of the dataset with even more sensor data and labels. We are also launching our new and exciting 2023 Waymo Open Dataset Challenges -- this is our 4th annual Challenge edition, and we invite all researchers to participate!

Waymo has achieved many global industry firsts. Each time we delight our riders and deliver on our mission safely, we are proudest. In January, we accomplished another first: we exceeded one million miles on public roads with no human behind the wheel. To put this into perspective, this equates to 40 trips around the Earth, or over 80 years of driving for the average American. But this number is not a meaningful measure of progress, without context. What’s more important is our safety performance over the course of these one million rider-only miles that demonstrates the safety benefits of the Waymo Driver. We’re sharing this safety performance data today to both acknowledge this next step on our journey, and to encourage greater transparency across the industry.

It’s happened to almost every driver: that terrifying moment when you have to urgently brake or swerve to avoid a collision caused by other road users’ behavior. Like a human driver, the Waymo Driver encounters potential hazards — from a vehicle running a red light to a car suddenly changing lanes. To evaluate our Driver’s ability to avoid or mitigate crashes in situations like these, we developed a comprehensive scenario-based testing methodology called Waymo’s Collision Avoidance Testing (CAT). To maintain transparency and provide the public with a deeper understanding of our safety approach, we are publishing a paper to describe how we judge good collision avoidance performance, how we identify the right set of scenarios to test, and the testing tools we’ve developed.

Weather shapes our lives, from dictating what we wear, to how we commute, to whether school is in. At Waymo, we've invested in understanding weather and its impact on our technology since our earliest days as Google's Self-Driving Car Project. We've learned a lot along the way that has enabled us to drive autonomously in various conditions, provide better service to our riders and partners, and advance our technology to serve more cities in the future.

Autonomous driving technology has the potential to dramatically improve road safety and save millions of lives now lost to traffic crashes. Yet, there are still no universally accepted approaches for evaluating the safety of autonomous driving systems. “How safe is safe enough?” and “How do autonomously driven vehicles perform compared to a human driver?” are questions frequently asked across the industry. Following the publication of the Waymo safety framework, real-world performance data, and the simulated reconstruction of fatal crashes, we are taking another important step in answering these complex questions. In our continuous effort to share more information about our safety approaches and metrics, we are releasing two new scientific papers that present methods to compare autonomous vehicle performance to human driving—an important component of determining the readiness of autonomous driving systems.

Being an experienced driver means knowing how to handle a variety of road situations that can happen anytime, anywhere. At Waymo, we’re building The World’s Most Experienced Driver™. With over 20 million autonomous public road miles under its belt, the Waymo Driver is prepared to navigate the challenges of busy city streets, high-speed multi-lane roads, chaotic parking lots and more. Right now, the Waymo Driver is simultaneously providing fully autonomous rides in two locations—Phoenix’s East Valley and San Francisco—and is ready to scale further. In the coming weeks, we will begin rider-only trips —with no human driver behind the wheel— with our employees in Downtown Phoenix. Additionally, the Waymo Driver is beginning to drive at Phoenix Sky Harbor International Airport, one of the 10 busiest airports in the world, with an autonomous specialist present.