Finding
A robotaxi's logs leave the vehicle in the depot, not over the air, so dwell time and depot networking set how much the fleet can learn each day
Moving one terabyte in a 30-minute charging stop takes a sustained 4.4 Gb/s per vehicle - more than most Wi-Fi links deliver in a busy yard and close to half of a 10-gigabit Ethernet port. Cellular is reserved for telematics, remote assistance video and urgent events. Fleets therefore filter and prioritize on the vehicle, then upload bulk logs over high-capacity depot links during charging or shift change.
The edge stack at each depot is usually a managed appliance from the AV developer: servers and storage for log ingest, local networking (wired, Wi-Fi 6E or 7, sometimes private 5G), gateways to chargers and telematics, and containerized analytics. It filters and compresses data, flags safety events for fast review, stages software and map updates, and keeps the depot running when the wide-area link drops. Tesla's training clusters in Austin, Waymo's Google TPU capacity and Chinese clusters at Baidu and XPeng sit at the other end of the pipe.
Over-the-air updates are the highest-leverage and highest-risk step. A bad release can ground a fleet, so updates go out in stages - a few vehicles, then a depot, then a city - with rollback and with blackout periods written into operator contracts. Under UNECE R156, vehicles sold in Europe need a certified software-update management system; China requires OTA filing with MIIT. See OTA Architecture and Telemetry.
Data flows
Data flows through the depot
| Direction | What moves | Where processed |
|---|---|---|
| Vehicle to depot | Logs, sensor clips, fault codes, remote-assistance annotations | Depot edge ingest |
| At the depot | Filtering, compression, sampling, event detection | Edge servers |
| Depot to cloud | Prioritized subsets for training and safety review | Training and simulation clusters |
| Cloud to vehicle | Software, maps, configuration, geofences | Staged through the depot edge |
Ownership
Who controls what
Most autonomy logic, data schemas and OTA mechanisms belong to the AV developer; operators shape the environment and the contract.
| Party | Controls |
|---|---|
| AV developer or OEM | Autonomy stack, data schemas, training pipeline, OTA delivery |
| Fleet operator | Depot networking, backup links, retention of operator data, uptime SLAs, physical security, update windows |
| Shared | Edge node placement, separation of personal data, safety review workflows, dashboards |
Resilience
Failure modes and mitigations
| Failure | Effect | Mitigation |
|---|---|---|
| Wide-area link down | Uploads and OTA campaigns stall | Second fiber path or cellular backup |
| Edge storage full | Logs lost or vehicles held | Size storage for several days of backlog |
| Bad update | Vehicles held or rolled back | Staged rollout, canary vehicles, tested rollback |
| Clock drift | Events cannot be reconstructed | Precision time sync across vehicles and edge |
| Edge power loss | Depot operations degrade | UPS and a protected microgrid segment |
Sources
Sources and scope
- Scope
- Fleet Autonomy Edge Compute
- Sources
- UNECE R156; MIIT OTA rules; ElectronsX arithmetic (1 TB = 8,000 gigabits)
- Updated
- October 2026