2015 FORD EXPEDITION — Complaint #1192417
Open-data reference.
NHTSA Complaint about BACK OVER PREVENTION: BACK-UP ALARM filed June 22, 2015
NHTSA complaint #1192417 (ODI reference 10726046) concerns a 2015 FORD EXPEDITION and was filed on June 22, 2015. The owner reports the failure occurred on June 1, 2015. The report was geocoded to Georgia based on the filer's self-reported location. The affected component is categorized as back over prevention: back-up alarm, one of NHTSA's standardized taxonomy codes used to group defect patterns across make, model, and year.
The filer flagged the following severity indicators: crash: no, fire: no, injuries: 0, fatalities: 0. No crash, fire, or fatality was associated with this report, which places it in the early-warning stream rather than the priority-review stream. Because a VIN was supplied, this complaint is tied to a specific vehicle and not just a model-year cohort.
Individual complaints are consumer-submitted and unverified by NHTSA engineers — the agency's role at this stage is to collect, index, and make them searchable. What matters for federal action is the pattern: when many owners of the same FORD EXPEDITION cohort independently describe similar back over prevention: back-up alarm failures, defect investigators have grounds to open a PE and request manufacturer data. Related filings for the same vehicle and component appear below, and the detail page for the full 2015 FORD EXPEDITION shows the complete component-level complaint distribution alongside any active investigations or recalls.
Complaint Description
2015 FORD EXPEDITION. CONSUMER WRITES IN REGARDS TO VEHICLE BACK-UP SIGNAL SOUND IS VERY LOW. *SMD...UPDATED 08/12/15 *BF UPDATED 08/25/15*JB
Complaint Details
| NHTSA Complaint ID | 1192417 |
| ODI Number | 10726046 |
| Date Filed | June 22, 2015 |
| Failure Date | June 1, 2015 |
| VIN | 1FMJU1JT6FE |
Source: NHTSA Vehicle Complaints Database. Component taxonomy and severity codes are standardized by NHTSA Office of Defects Investigation.
Read our methodology — how this data is sourced, computed, and verified.