Road Health Data Product
What is Road Health Data?
Typical applications include:
Asset Inventory: Maintain an up-to-date view of the road network, assess seasonal wear (e.g., winter impact), validate maintenance plans, and address citizen complaints.
Maintenance Follow-up: Evaluate newly paved roads, confirm proper execution of roadworks, and receive early alerts when roads begin to degrade.
KPI & Trends: Objectively assess road network conditions, establish trends from daily measurements, and benchmark city versus national levels for budget planning.
Sudden Change Alerts: Get notified of hazardous conditions such as potholes, unexpected roughness changes, or road obstacles, and respond promptly using integrated online tools.
Data Source
The data is sourced from millions of vehicles globally through Mobito’s vetted partners, including:
Automotive OEMs – Vehicles with embedded connectivity directly from the manufacturer.
Data Specs
Location granularity: 25-meter road segments
Geographies: Belgium, Greece
Anonymisation: Road surface data is segmented and anonymised. It is GDPR-compliant and completely free of personal information.
Datasets Overview
The Road Health Data Product consists of three complementary datasets. Customers can select individual datasets or receive all three combined.
Dataset 1: Roughness Data
Provides daily and long-term measurements of road roughness across the network.
Indicative fields include:
roadName: The road’s name
segmentId / subSegmentId: Identifiers for each 25-meter road segment
roughnessDailyAverage: Average roughness for the day
roughnessLongTermEstimate: Smoothed estimate for long-term evaluation
geometryWkt: WKT LineString geometry for the segment
Dataset 2: Roughness Change Alerts
Highlights improvements or deteriorations in road conditions, enabling proactive maintenance.
Indicative fields include:
alertId: Unique identifier of the alert
alertType: Improvement or degeneration
severity: Severity level of the change
alertLevel: Classification of the alert
geometryWkt: WKT LineString geometry of the affected segment
Dataset 3: Road Health Anomalies
Captures unexpected or hazardous conditions detected on the road network.
Indicative fields include:
id: Unique anomaly identifier (UUID)
firstDetection / lastDetection: Timestamps of anomaly occurrence
position: Anomaly position reference
type: Anomaly type (e.g., pothole, obstacle)
uncertaintyInMeter: Uncertainty area of the anomaly
count: Number of detections
hitRatio: Ratio of confirmed detections
bearing: Bearing of the road segment
severity: Severity level of the anomaly
geometryWkt: WKT LineString geometry
Dashboard Visualisation (optional add-on)
In addition to raw datasets, the Road Health Data Product can be delivered with an interactive dashboard. This offers an intuitive way to explore road conditions without additional data processing.
Key features include:
Up-to-date IRI measurements for every 25-meter road segment
Heatmap visualisation of road health conditions on an interactive map
Road health historicity: Trends and history for each road segment
Highlighted problematic areas across the network
Road network health scoring for quick assessment
Smart data filtering to refine by geography, time, or road type
Data export for offline analysis or integration with other tools
Anonymisation & Privacy
All data is anonymised and aggregated at the road-segment level. The product is fully GDPR compliant and does not include any personal information. More details are available in our Data Anonymisation Rules article.