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Tire wear monitoring tracks the remaining tread depth (RTD) across your fleet to help predict tire replacements, identify abnormal wear patterns, and maintain compliance with safety regulations. Wear data is typically captured through drive-over scanners or manual inspection tools.

Overview

The Smart Tire API provides two ways to access tire wear data:
  • Latest tire data - Get the most recent wear measurements for one or more vehicles using the Tire Events endpoint with inspectionTypes=TIRE_WEAR
  • Wear history - Get historical wear events for a specific vehicle over a date range using the Tire Wear Events endpoint

Remaining Tread Depth (RTD)

Tire wear is measured by the Remaining Tread Depth across multiple grooves on each tire:
FieldUnitDescription
grooveNumber-Index (starting from 1) identifying the specific groove being measured
rtdMetersRemaining tread depth
Multiple groove measurementsMost commercial tires have 3-5 main grooves. Measuring each groove individually allows detection of uneven wear patterns that a single measurement would miss.

Wear Pattern Analysis

Multiple groove measurements help identify the cause of abnormal wear:
PatternTypical CauseGrooves Affected
Center wearOver-inflationCenter grooves worn more than edges
Edge wearUnder-inflationOuter grooves worn more than center
One-sided wearAlignment issuesGrooves on one side worn more
Cupping/scallopingSuspension problemsIrregular wear across grooves

Tire Condition Flags

Each tire includes flags indicating special conditions:
FlagDescription
regroovedTire has been regrooved to extend service life by cutting new tread patterns into existing rubber
retreadedTire has been retreaded with new tread rubber applied to the casing
Regrooved and retreaded tires have different wear characteristics and legal requirements. Tracking these flags helps ensure compliance with regulations governing their use.

Inspection Status

The inspectionStatus field indicates the validity and confidence level of wear measurements:
StatusDescription
OKValid inspection with reliable data
MOUNT_CHANGE_SUSPICIONA tire change may have occurred since the last measurement
INVALID_PROJECTIONUnable to project wear data accurately
MISSING_POSITIONPosition data unavailable
INVALID_UNDERLAYERIssue with the tire’s underlayer affecting measurement
POSITION_PASSAGE_TOO_OLDLast passage through scanner is too old for reliable data
MOUNT_NEVER_SEENThis specific tire mount has never been inspected
POSITION_NEVER_SEENThis wheel position has never been inspected
VEHICLE_NEVER_SEENThe vehicle has never passed through a scanner
DATE_OUT_OF_PROJECTION_PERIODMeasurement date falls outside valid projection window
UNSURE_WITHOUT_PASSAGE_DATECannot confirm accuracy without passage date
NO_PROJECTION_DATAInsufficient historical data for wear projection
When inspectionStatus is anything other than OK, treat the wear data with caution. The measurement may be inaccurate or outdated.

Tire Position

Each tire is identified by its position on the vehicle:
FieldDescription
axleNumberAxle number starting from 1 (front axle)
tireCountTotal number of tires on that axle
tireNumberTire position on the axle, numbered from right to right when facing forward
positionIdentifierString representation (e.g., “1L”, “2R1”, “2R2”)

Event Data

Each wear event captures measurements for all tires at a specific inspection:
FieldDescription
eventDateTimestamp of the wear inspection (UTC)
tiresArray of tire data with position, groove measurements, and status

Use Cases

Fleet-wide Wear Assessment

Retrieve the latest wear data for all vehicles to identify those approaching replacement thresholds:
curl --request GET \
  --url 'https://public-api.masternautconnect.com/public/v1/customer/{customerId}/asset/tire?inspectionTypes=TIRE_WEAR' \
  --header 'Authorization: Bearer <your-api-token>'

Wear Trend Analysis

Retrieve historical wear data to calculate wear rates and predict replacement dates:
curl --request GET \
  --url 'https://public-api.masternautconnect.com/public/v1/customer/{customerId}/asset/{assetId}/tire/wear/history?startDate=2024-07-01&endDate=2025-01-01' \
  --header 'Authorization: Bearer <your-api-token>'

Combined Pressure and Wear Data

Retrieve both inspection types in a single request for a complete tire health picture:
curl --request GET \
  --url 'https://public-api.masternautconnect.com/public/v1/customer/{customerId}/asset/tire?inspectionTypes=TIRE_WEAR,TIRE_PRESSURE' \
  --header 'Authorization: Bearer <your-api-token>'

Group-level Monitoring

Retrieve wear data for all vehicles within a specific group:
curl --request GET \
  --url 'https://public-api.masternautconnect.com/public/v1/customer/{customerId}/asset/tire?inspectionTypes=TIRE_WEAR&groupId={groupId}' \
  --header 'Authorization: Bearer <your-api-token>'