Tire Wear

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:

Field	Unit	Description
`grooveNumber`	-	Index (starting from 1) identifying the specific groove being measured
`rtd`	Meters	Remaining 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:

Pattern	Typical Cause	Grooves Affected
Center wear	Over-inflation	Center grooves worn more than edges
Edge wear	Under-inflation	Outer grooves worn more than center
One-sided wear	Alignment issues	Grooves on one side worn more
Cupping/scalloping	Suspension problems	Irregular wear across grooves

Tire Condition Flags

Each tire includes flags indicating special conditions:

Flag	Description
`regrooved`	Tire has been regrooved to extend service life by cutting new tread patterns into existing rubber
`retreaded`	Tire 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:

Status	Description
`OK`	Valid inspection with reliable data
`MOUNT_CHANGE_SUSPICION`	A tire change may have occurred since the last measurement
`INVALID_PROJECTION`	Unable to project wear data accurately
`MISSING_POSITION`	Position data unavailable
`INVALID_UNDERLAYER`	Issue with the tire’s underlayer affecting measurement
`POSITION_PASSAGE_TOO_OLD`	Last passage through scanner is too old for reliable data
`MOUNT_NEVER_SEEN`	This specific tire mount has never been inspected
`POSITION_NEVER_SEEN`	This wheel position has never been inspected
`VEHICLE_NEVER_SEEN`	The vehicle has never passed through a scanner
`DATE_OUT_OF_PROJECTION_PERIOD`	Measurement date falls outside valid projection window
`UNSURE_WITHOUT_PASSAGE_DATE`	Cannot confirm accuracy without passage date
`NO_PROJECTION_DATA`	Insufficient 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:

Field	Description
`axleNumber`	Axle number starting from 1 (front axle)
`tireCount`	Total number of tires on that axle
`tireNumber`	Tire position on the axle, numbered from right to right when facing forward
`positionIdentifier`	String representation (e.g., “1L”, “2R1”, “2R2”)

Event Data

Each wear event captures measurements for all tires at a specific inspection:

Field	Description
`eventDate`	Timestamp of the wear inspection (UTC)
`tires`	Array 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>'

Get Started

Essentials

Solution concepts

Common use cases

Overview

Remaining Tread Depth (RTD)

Wear Pattern Analysis

Tire Condition Flags

Inspection Status

Tire Position

Event Data

Use Cases

Fleet-wide Wear Assessment

Wear Trend Analysis

Combined Pressure and Wear Data

Group-level Monitoring

​Overview

​Remaining Tread Depth (RTD)

​Wear Pattern Analysis

​Tire Condition Flags

​Inspection Status

​Tire Position

​Event Data

​Use Cases

​Fleet-wide Wear Assessment

​Wear Trend Analysis

​Combined Pressure and Wear Data

​Group-level Monitoring

Overview

Remaining Tread Depth (RTD)

Wear Pattern Analysis

Tire Condition Flags

Inspection Status

Tire Position

Event Data

Use Cases

Fleet-wide Wear Assessment

Wear Trend Analysis

Combined Pressure and Wear Data

Group-level Monitoring