Incident · Collision
ADS crash report in San Francisco, CA involving a TOYOTA Highlander (NHTSA SGO 30610-13121)
A Zoox vehicle (Vehicle 1) operating in autonomous mode was westbound on [XXX], preparing to make an unprotected left turn onto [XXX] in San Francisco. As the Zoox vehicle slowed approaching the intersection at [XXX], a left-turning vehicle in the oncoming lane accelerated abruptly. The Zoox vehicle braked in response to the oncoming vehicle, and was rear ended by a passenger car (Vehicle 2) traveling directly behind. The Zoox vehicle operator then disengaged from autonomy, and shortly after, continued through the intersection along [XXX] and pulled over to exchange information. The Zoox vehicle sustained minor damage to the rear end, and Vehicle 2 appears to have sustained moderate damage to the left front area and hood. The Zoox vehicle operator and the software operator, seated in the front passenger seat, reported injuries after the collision. The police were not called.
Occurred 2025-10-01 · Zoox
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Incident records on DEPLOY are compiled from public sources (regulatory filings, news reports, and operator disclosures) and reflect what has been reported and tracked to date. They are not legal findings, determinations of fault, or safety ratings, and may be updated as new information is verified. See the sources below for the underlying references.Machine-readable surfaces
- Markdown mirror: /incidents/nhtsa-sgo-30610-13121.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/incidents/cbf03cf1-f4cd-49d7-bb98-9ab0e00dff0e
- Data documentation: /data
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Sources (1)
Common questions
- What happened in ADS crash report in San Francisco, CA involving a TOYOTA Highlander (NHTSA SGO 30610-13121)?
- A Zoox vehicle (Vehicle 1) operating in autonomous mode was westbound on [XXX], preparing to make an unprotected left turn onto [XXX] in San Francisco. As the Zoox vehicle slowed approaching the intersection at [XXX], a left-turning vehicle in the oncoming lane accelerated abruptly. The Zoox vehicle braked in response to the oncoming vehicle, and was rear ended by a passenger car (Vehicle 2) traveling directly behind. The Zoox vehicle operator then disengaged from autonomy, and shortly after, continued through the intersection along [XXX] and pulled over to exchange information. The Zoox vehicle sustained minor damage to the rear end, and Vehicle 2 appears to have sustained moderate damage to the left front area and hood. The Zoox vehicle operator and the software operator, seated in the front passenger seat, reported injuries after the collision. The police were not called.
- When did this incident occur?
- The incident is recorded as occurring on October 1, 2025 on the DEPLOY registry. The date reflects the underlying real-world event, not the registry record's creation date.
- Who was involved in ADS crash report in San Francisco, CA involving a TOYOTA Highlander (NHTSA SGO 30610-13121)?
- The incident is recorded as involving Zoox on the DEPLOY registry. No specific robot model is linked to this incident in the registry.
- Has anyone responded to ADS crash report in San Francisco, CA involving a TOYOTA Highlander (NHTSA SGO 30610-13121)?
- No responses to this incident are recorded on the DEPLOY registry. Operators, manufacturers, or affected parties can submit responses to the editorial team; absence is not a guarantee no response was issued.
- What is the current status of ADS crash report in San Francisco, CA involving a TOYOTA Highlander (NHTSA SGO 30610-13121)?
- This incident is an active record on the DEPLOY registry; no retraction or correction has been issued.
Methodology: Verified · 1 source (1 primary) · last reviewed 2026-07-14
Verification posture
Verified
High confidence
Review state
Stable
Last reviewed 2026-07-14
Sources by quality tier
- 1
- primary-regulatory-filing
- Regulatory filing
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for ADS crash report in San Francisco, CA involving a TOYOTA Highlander (NHTSA SGO 30610-13121).Deploy Watch
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Canonical ID cbf03cf1-f4cd-49d7-bb98-9ab0e00dff0e