Rafaela Vasquez, the human safety operator in Uber’s autonomous test Volvo, pleaded guilty on July 28, 2023, to an amended endangerment charge. The offense was a Class 6 undesignated offense, and the court imposed three years of supervised probation. The original negligent-homicide charge was reduced; the plea agreement contemplated misdemeanor designation after successful completion of probation, but it was not accurate to describe the plea hearing itself as a misdemeanor conviction.
The National Transportation Safety Board found Vasquez’s failure to monitor the roadway and Uber’s automated-driving system to be the probable cause of the March 18, 2018, death of Elaine Herzberg in Tempe, Arizona. The NTSB also identified major contributing failures inside Uber’s autonomous-driving unit, including inadequate risk assessment, weak operator oversight, insufficient protection against automation complacency, and an inadequate safety culture.
The Tempe crash was widely described as the first pedestrian fatality involving a developmental automated-driving test vehicle on a public road. That description needs an important qualification: it was not the first U.S. fatal crash involving driving automation of any kind. The NTSB identifies a 2016 Florida crash involving partial automation as the first U.S. fatal crash involving driving-automation features.
The short answer
| Question | Answer |
|---|---|
| Who pleaded guilty? | Rafaela Vasquez, Uber’s human safety operator in the test vehicle. |
| When? | July 28, 2023. |
| What did she plead to? | Endangerment under Arizona law, a Class 6 undesignated offense. |
| What was the original charge? | Negligent homicide. |
| What was the sentence? | Three years of supervised probation, beginning July 28, 2023, along with restitution for qualifying economic losses. |
| Was Uber criminally charged? | No. Prosecutors found no basis for criminal liability against Uber as a corporation, although the NTSB later identified several Uber safety failures as contributing factors. |
What happened in Tempe
At approximately 9:58 p.m. on March 18, 2018, a modified 2017 Volvo XC90 operated by Uber’s Advanced Technologies Group was traveling north on Mill Avenue near Curry Road in Tempe. Uber’s proprietary developmental automated-driving system, or ADS, was active. A human operator occupied the driver’s seat and was expected to monitor the road, supervise the ADS, and take control when necessary.
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The SUV had been operating in autonomous mode for approximately 19 minutes and was traveling at about 45 mph as it approached the crash location. Elaine Herzberg, 49, was walking a bicycle across northbound Mill Avenue outside a marked crosswalk. The Volvo struck her at approximately 39 mph. She later died from her injuries.
Calling the vehicle simply “driverless” hides the key safety arrangement. The automated system was controlling the vehicle, but the test program still depended on a human operator to detect hazards the ADS failed to handle and intervene in time. Vasquez was not carrying ordinary Uber rideshare passengers or performing a conventional passenger trip.
Why the automated vehicle did not stop
The ADS did not completely fail to detect an object. Its failure was more specific and consequential: it detected Herzberg but did not correctly identify and model her movement as that of a pedestrian crossing the road.
- 5.6 seconds before impact: The ADS detected an object in the roadway.
- Changing classifications: It initially classified the object as a vehicle, then classified it as “other” and as a bicycle. It never correctly classified Herzberg as a pedestrian.
- Tracking and prediction problem: The system continued tracking the object, but the changing classification meant it did not preserve and use the relevant history in a way that allowed it to predict her path correctly.
- About 1.2 seconds before impact: The system recognized that a collision was imminent. By then, avoiding the impact required braking beyond the ADS’s design specifications.
- Emergency-braking limitation: The ADS was designed to suppress emergency braking when it determined that braking could not prevent the crash. It did not automatically apply maximum braking merely to reduce the severity of an unavoidable impact.
Uber had also disabled the Volvo’s factory forward-collision warning and automatic-emergency-braking functions while the ADS was operating. Those functions were not replaced with equivalent full-capability redundancy in the test configuration. The result was a system that detected an object too late and did not provide the kind of last-second automatic braking many readers associate with a modern production vehicle.
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The NTSB’s full accident report is important here because it does not describe the event as a simple “failure to see” the pedestrian. The system saw something. It failed to classify, predict, and respond to the hazard appropriately.
What Vasquez was supposed to do
Vasquez was hired as a vehicle operator—also described as a safety driver, backup driver, or safety operator—not as an ordinary Uber rideshare driver. Her responsibilities included:
- continuously monitoring the roadway;
- watching the ADS and its human-machine interface;
- keeping her hands near the steering wheel and her foot near the brake;
- recognizing unusual or dangerous events; and
- taking control when the automated system could not safely manage a situation.
That division of labor explains why the criminal case focused on the human operator even though the automated system was active. A developmental ADS may control steering and speed, but a supervised road test still requires the operator to remain attentive and ready to intervene.
What investigators found about Vasquez’s attention
The NTSB reviewed the vehicle’s inward-facing camera, vehicle data, phone records, and other evidence. Its reconstruction found that Vasquez looked downward toward the center-console area for extended periods. About six seconds before impact, she again looked down and remained visually distracted for approximately five seconds. She looked back toward the road about one second before the collision.
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Her physical responses came too late. She began steering left approximately 0.02 seconds before impact and applied the brake about 0.7 seconds after impact.
Phone and streaming-service records showed that an account associated with her phone was continuously streaming a television program during the crash trip, including the moments before the collision. The NTSB found no evidence that she was interacting with the vehicle’s HMI tablet immediately before the crash, contrary to her account that she had been attending to the HMI.
That does not mean every detail reported about the phone evidence was uncontested. Vasquez’s attorneys later argued that she was looking at an Uber work-messaging application on a work phone while a television program played on a separate personal phone. A defense filing challenged the prosecution’s account of which phone she was using and what she was viewing.
The careful summary is therefore: investigators concluded that Vasquez was visually distracted by a phone, while her attorneys disputed the prosecution’s account of which phone she was using and what she was doing on it. More specific claims about the television program should be attributed to police or prosecutors rather than presented as an uncontested court finding.
Could an attentive operator have prevented the crash?
According to the NTSB, probably yes. Its analysis found that an attentive operator would likely have had approximately two to four seconds to detect the pedestrian and react, depending on the vehicle’s position and the available visibility. The NTSB’s braking analysis indicated that the Volvo could have stopped before the impact location if maximum braking had begun within the relevant response window.
Once Vasquez looked back toward the road, however, only about one second remained. At that point, avoiding the collision was no longer possible for her. The distinction matters: the NTSB concluded that an earlier human response likely could have prevented the crash, not that the operator had a realistic opportunity to avoid it after the hazard became obvious at the last moment.
What the NTSB concluded about responsibility
The NTSB’s conclusion separated the probable cause from contributing factors. That is different from saying one person or organization had exclusive responsibility.
| Party or condition | NTSB finding |
|---|---|
| Human safety operator | Probable cause: failure to monitor the roadway and ADS because of visual distraction by a personal cell phone. |
| Uber’s autonomous-driving unit | Contributing failures included inadequate safety-risk assessment, ineffective oversight of vehicle operators, inadequate mechanisms to address automation complacency, and an inadequate safety culture. |
| Vehicle and system design | The ADS misclassified and failed to predict the pedestrian’s path; emergency braking was suppressed when the system determined that avoidance was no longer possible, and factory Volvo safety features had been disabled during ADS operation. |
| Elaine Herzberg’s crossing | She crossed outside a marked crosswalk, which the NTSB identified as an additional contributing factor. This finding does not mean she was legally responsible for the crash. |
| Toxicology | The NTSB reported drugs in Herzberg’s blood that could impair perception and judgment. The finding should not be expanded into an unsupported claim that she was intoxicated or that the result independently caused the crash. |
| Arizona oversight | The NTSB found that the state’s oversight of automated-vehicle testing was insufficient. |
In other words, the NTSB’s report does not support either extreme version of the story. The operator’s inattention was the probable cause in the safety investigation, while Uber’s organizational and technical decisions made the test less resilient when the operator and ADS both failed to handle the hazard.
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Uber had removed a layer of redundancy
Uber’s test-vehicle staffing model had changed before the crash. The company originally used two people: a primary vehicle operator and an “event tagger” who could help monitor and document the system’s performance. In September and October 2017, Uber consolidated those responsibilities into one operator after adding an HMI tablet.
That change increased the demands on the remaining operator and removed a human safety redundancy. The NTSB also found that Uber had inward-facing cameras but rarely reviewed their footage. Investigators found no evidence that supervisors had reviewed Vasquez’s prior video before the crash. Uber had identified other phone-policy violations through video review, but Vasquez had not been disciplined before the collision.
The issue was therefore larger than whether one employee violated a phone rule. A safety program that relies on a single human monitor must make sure that the monitor can remain attentive, that violations are detected promptly, and that the automated system has enough independent backup to handle foreseeable human error.
The criminal-case timeline
| Date | What happened |
|---|---|
| March 18, 2018 | The modified Uber Volvo struck and fatally injured Elaine Herzberg in Tempe. |
| March 19, 2018 | Uber stopped testing ADS-equipped vehicles on public roads across its operating centers. |
| March 26, 2018 | Arizona Gov. Doug Ducey suspended Uber’s authority to test in autonomous mode in Arizona. |
| March 2019 | The Yavapai County Attorney’s Office concluded there was no basis for criminal liability against Uber as a corporation and returned the driver-related matter for further review. |
| August 27, 2020 | A Maricopa County grand jury charged Vasquez with negligent homicide. |
| September 15, 2020 | Vasquez pleaded not guilty at arraignment. |
| July 28, 2023 | She pleaded guilty to the amended endangerment charge and received three years of supervised probation. |
| July 28, 2023–July 28, 2026 | The sentencing order set the scheduled probation term. |
| August 9, 2026 | The publicly indexed records located for this report did not confirm a final misdemeanor-designation order or a separate discharge/completion order. |
The 2019 decision not to prosecute Uber should not be described as a finding that Uber had no responsibility. The Yavapai County decision addressed criminal liability for the corporation. The NTSB later identified Uber’s safety practices as contributing factors, and the plea agreement expressly said it did not resolve or compromise potential civil actions.
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Vasquez did not plead guilty to negligent homicide. She originally faced that charge, but the agreement amended the case to endangerment under A.R.S. § 13-1201.
Under Arizona’s statute, endangerment involving a substantial risk of imminent death or physical injury is generally a Class 6 felony. A Class 6 offense can be left undesignated at sentencing, allowing it later to be treated as either a felony or a misdemeanor under the court’s order and the terms of the plea agreement.
The plea agreement characterized the offense as non-dangerous and non-repetitive. It also disposed of the original dangerousness allegation and prior-felony allegations. The sentencing order imposed three years of supervised probation beginning July 28, 2023, and required restitution for economic losses.
The Maricopa County Attorney’s Office said the offense would be designated a misdemeanor if Vasquez successfully completed probation. The sentencing order nevertheless retained felony treatment for limited purposes, including felony probation, DNA collection, firearm-rights analysis, treatment of historical prior felonies, impeachment, and sentence enhancement.
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That is why the most accurate description is: Vasquez pleaded guilty to a Class 6 undesignated endangerment offense and received three years of supervised probation, with misdemeanor designation contemplated after successful completion. “She pleaded guilty to a misdemeanor” is an imprecise shorthand for what happened at the plea and sentencing hearing.
The agreement also stated that if the offense were designated a felony, her driving privilege would be revoked. If it were designated a misdemeanor, the agreement identified a maximum penalty of six months in jail and a $2,500 fine, plus applicable surcharges. Those terms described the legal consequences of possible classification; the sentence imposed at the hearing was supervised probation.
Some court documents identify the defendant as Rafael Stuart Vasquez, while the prosecutor’s public release uses Rafaela Vasquez. The records refer to the same defendant; this article follows the name used in the prosecuting office’s public announcement.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What happened to Uber’s autonomous-driving program?
Uber later resumed limited testing in December 2018 on a one-mile loop in Pittsburgh with a 25-mph maximum speed. The NTSB noted several post-crash changes, including restoring the Volvo’s collision-warning and automatic-emergency-braking functions, adding a second vehicle operator, introducing real-time attentiveness monitoring, and making changes to safety management.
In December 2020, Uber announced that Aurora would acquire Uber’s Advanced Technologies Group, the autonomous-driving unit involved in the Tempe testing. That transfer does not mean Uber abandoned every later autonomous-vehicle partnership, nor does it make the criminal plea a case against Aurora. The relevant point is narrower: the specific Uber autonomous-driving division involved in the 2018 crash was transferred to Aurora.
Uber’s announcement is available from the company’s investor-relations site.
Why “the first-ever deadly self-driving crash” is too broad
The Tempe crash was a landmark event, but the headline needs precision. It is more accurate to call it the first widely reported pedestrian fatality involving a fully autonomous or developmental automated-driving test vehicle. The vehicle’s ADS was active, but a human safety operator remained in the driver’s seat and was expected to take over.
It was not the first U.S. death involving any form of driving automation. The NTSB identifies a 2016 Florida crash involving a vehicle operating with partial automation as the first U.S. fatal crash involving driving-automation features. That is a different category from a pedestrian fatality involving an ADS-controlled test vehicle.
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The distinctions are important because “driving automation,” “automated driving system,” “autonomous,” and “driverless” are not interchangeable. The Tempe Volvo was not a normal manually driven car, but neither was it an unsupervised vehicle with no human responsible for monitoring and takeover.
What remains unresolved
The criminal case answered one question: Vasquez accepted criminal responsibility for endangering others and received supervised probation. It did not answer every question about corporate accountability, product design, or the appropriate legal framework for automated-vehicle testing.
The public court order reviewed for this article scheduled probation through July 28, 2026. The plea agreement contemplated misdemeanor designation after successful completion, but the publicly indexed records located as of August 9, 2026, did not confirm a later designation order or formal discharge. That does not prove that no later filing exists; it means the result should not be assumed without a subsequent court record.
The NTSB’s safety findings also remain distinct from the criminal judgment. The board identified operator distraction as the probable cause while documenting Uber’s inadequate risk management, oversight, safety culture, and redundancy. A prosecutor’s decision not to charge Uber criminally did not erase those findings or decide potential civil claims.
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- NTSB investigation summary and findings
- NTSB Highway Accident Report HAR-19-03
- NTSB public docket and supporting materials
- Maricopa County Attorney’s plea announcement
- Rafaela Vasquez plea agreement
- Sentencing order
- Arizona endangerment statute, A.R.S. § 13-1201
- NTSB overview of automated-driving-system safety issues
Frequently Asked Questions
Was Rafaela Vasquez an ordinary Uber rideshare driver?
No. She was a vehicle or safety operator for Uber’s Advanced Technologies Group. Her job was to monitor the developmental automated-driving system and the roadway, then take control if necessary. She was not conducting a normal Uber passenger trip.
Did Vasquez plead guilty to negligent homicide?
No. Negligent homicide was the original charge. On July 28, 2023, she pleaded guilty to an amended endangerment charge classified as a Class 6 undesignated offense.
Did Uber bear responsibility for the crash?
Uber was not criminally charged as a corporation after prosecutors found no basis for corporate criminal liability. Separately, the NTSB identified Uber’s inadequate risk assessment, operator oversight, automation-complacency controls, safety culture, and loss of safety redundancy as contributing factors.
Why did the self-driving Volvo not stop?
The ADS detected an object 5.6 seconds before impact but misclassified it as a vehicle, other object, or bicycle rather than correctly modeling it as a pedestrian crossing the road. It recognized an imminent collision about 1.2 seconds before impact, when avoiding the crash required braking beyond its design specifications. The system was also designed not to apply emergency braking when it determined that braking could no longer prevent the collision.
Was Vasquez’s conviction definitely converted to a misdemeanor?
The plea agreement and prosecutor’s announcement contemplated misdemeanor designation after successful completion of three years of probation. However, the publicly indexed records reviewed for this article did not confirm a later designation or formal discharge order, so it should not be stated as an established current fact without that record.
The Bottom Line
Rafaela Vasquez, the human safety operator in Uber’s developmental autonomous test vehicle, pleaded guilty in 2023 to an amended Class 6 undesignated endangerment charge and received three years of supervised probation. The NTSB found that her phone-related visual distraction was the probable cause of Elaine Herzberg’s death, but it also found that Uber’s automated-driving unit had serious safety, oversight, risk-management, and redundancy failures. The result was not a finding that the human operator alone explains the crash—or that Uber was cleared of every form of responsibility.
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