Predictive Road Intelligence

Prioritize roadsthat need yourattention.

RoadPulse automatically detects surface damage as vehicles drive their normal routes. Municipalities receive prioritized repair lists, condition maps, and evidence for maintenance and budgeting decisions.

Weeks
Pilot to First Report
Ranked
Repair Priorities
Audit
Ready Records
Town of Dedham flag
Dedham Municipal Case StudyDedham, Massachusetts

Road Intelligence
You Can Trust

Figures from a completed municipal deployment:

1,607
Miles covered
6
Weeks of collection
1
Vehicle used
230
Pothole Candidates found
5,500+
Road events found
Road condition outcome

A priority street was identified and subsequently repaired.

Pilot data showed concentrated road-condition issues at a location that later received municipal action.

Deployment outcome

Expanded sensor rollout. Renewed long-term partnership.

Following the pilot, Dedham deployed additional RoadPulse sensors and renewed its commitment to a long-term partnership.

For Public Works Teams

Challenges you
may recognize:

Road-condition decisions become harder when information is outdated, priorities cannot be compared consistently, or supporting records are difficult to retrieve.

See How RoadPulse Helps
Problem01 / 06

Condition records fall out of date between inspections.

Evidence Gap

Periodic inspections can leave long gaps between a road changing and that change appearing in municipal records.

RoadPulse Response

RoadPulse gathers condition signals from vehicles already traveling the network, making updates more frequent without adding dedicated survey routes.

Problem02 / 06

Complaint volume influences where inspections begin.

Evidence Gap

Resident reports provide useful context, but complaint volume does not produce consistent network coverage.

RoadPulse Response

RoadPulse adds systematic road-condition coverage that is independent of where complaints are submitted.

Problem03 / 06

Repair priorities are difficult to compare and defend.

Evidence Gap

Priority decisions are difficult to defend when observations are recorded using different methods or standards.

RoadPulse Response

RoadPulse organizes detected issues into a consistent, ranked review queue with supporting evidence.

Problem04 / 06

Preventive work is difficult to support during budget review.

Evidence Gap

Early intervention is harder to justify when deterioration is not documented before failure.

RoadPulse Response

RoadPulse preserves location-based condition records that can support budget and maintenance discussions.

Problem05 / 06

Decision records are fragmented across systems.

Evidence Gap

Photos, notes, complaints, and work records are often stored separately across municipal workflows.

RoadPulse Response

RoadPulse keeps each reviewed location and its supporting evidence together for reporting and follow-up.

Problem06 / 06

Manual inspection cannot cover the network as often as needed.

Evidence Gap

Limited field time makes frequent, network-wide manual inspection difficult to sustain.

RoadPulse Response

RoadPulse uses routine fleet movement for collection, allowing coverage to scale without matching increases in inspection labor.

Problem01 / 06

Condition records fall out of date between inspections.

Evidence Gap

Periodic inspections can leave long gaps between a road changing and that change appearing in municipal records.

RoadPulse Response

RoadPulse gathers condition signals from vehicles already traveling the network, making updates more frequent without adding dedicated survey routes.

Problem02 / 06

Complaint volume influences where inspections begin.

Evidence Gap

Resident reports provide useful context, but complaint volume does not produce consistent network coverage.

RoadPulse Response

RoadPulse adds systematic road-condition coverage that is independent of where complaints are submitted.

Problem03 / 06

Repair priorities are difficult to compare and defend.

Evidence Gap

Priority decisions are difficult to defend when observations are recorded using different methods or standards.

RoadPulse Response

RoadPulse organizes detected issues into a consistent, ranked review queue with supporting evidence.

Problem04 / 06

Preventive work is difficult to support during budget review.

Evidence Gap

Early intervention is harder to justify when deterioration is not documented before failure.

RoadPulse Response

RoadPulse preserves location-based condition records that can support budget and maintenance discussions.

Problem05 / 06

Decision records are fragmented across systems.

Evidence Gap

Photos, notes, complaints, and work records are often stored separately across municipal workflows.

RoadPulse Response

RoadPulse keeps each reviewed location and its supporting evidence together for reporting and follow-up.

Problem06 / 06

Manual inspection cannot cover the network as often as needed.

Evidence Gap

Limited field time makes frequent, network-wide manual inspection difficult to sustain.

RoadPulse Response

RoadPulse uses routine fleet movement for collection, allowing coverage to scale without matching increases in inspection labor.

Problem01 / 06

Condition records fall out of date between inspections.

Evidence Gap

Periodic inspections can leave long gaps between a road changing and that change appearing in municipal records.

RoadPulse Response

RoadPulse gathers condition signals from vehicles already traveling the network, making updates more frequent without adding dedicated survey routes.

Problem02 / 06

Complaint volume influences where inspections begin.

Evidence Gap

Resident reports provide useful context, but complaint volume does not produce consistent network coverage.

RoadPulse Response

RoadPulse adds systematic road-condition coverage that is independent of where complaints are submitted.

Problem03 / 06

Repair priorities are difficult to compare and defend.

Evidence Gap

Priority decisions are difficult to defend when observations are recorded using different methods or standards.

RoadPulse Response

RoadPulse organizes detected issues into a consistent, ranked review queue with supporting evidence.

Problem04 / 06

Preventive work is difficult to support during budget review.

Evidence Gap

Early intervention is harder to justify when deterioration is not documented before failure.

RoadPulse Response

RoadPulse preserves location-based condition records that can support budget and maintenance discussions.

Problem05 / 06

Decision records are fragmented across systems.

Evidence Gap

Photos, notes, complaints, and work records are often stored separately across municipal workflows.

RoadPulse Response

RoadPulse keeps each reviewed location and its supporting evidence together for reporting and follow-up.

Problem06 / 06

Manual inspection cannot cover the network as often as needed.

Evidence Gap

Limited field time makes frequent, network-wide manual inspection difficult to sustain.

RoadPulse Response

RoadPulse uses routine fleet movement for collection, allowing coverage to scale without matching increases in inspection labor.

Problem01 / 06

Condition records fall out of date between inspections.

Evidence Gap

Periodic inspections can leave long gaps between a road changing and that change appearing in municipal records.

RoadPulse Response

RoadPulse gathers condition signals from vehicles already traveling the network, making updates more frequent without adding dedicated survey routes.

Problem02 / 06

Complaint volume influences where inspections begin.

Evidence Gap

Resident reports provide useful context, but complaint volume does not produce consistent network coverage.

RoadPulse Response

RoadPulse adds systematic road-condition coverage that is independent of where complaints are submitted.

Problem03 / 06

Repair priorities are difficult to compare and defend.

Evidence Gap

Priority decisions are difficult to defend when observations are recorded using different methods or standards.

RoadPulse Response

RoadPulse organizes detected issues into a consistent, ranked review queue with supporting evidence.

Problem04 / 06

Preventive work is difficult to support during budget review.

Evidence Gap

Early intervention is harder to justify when deterioration is not documented before failure.

RoadPulse Response

RoadPulse preserves location-based condition records that can support budget and maintenance discussions.

Problem05 / 06

Decision records are fragmented across systems.

Evidence Gap

Photos, notes, complaints, and work records are often stored separately across municipal workflows.

RoadPulse Response

RoadPulse keeps each reviewed location and its supporting evidence together for reporting and follow-up.

Problem06 / 06

Manual inspection cannot cover the network as often as needed.

Evidence Gap

Limited field time makes frequent, network-wide manual inspection difficult to sustain.

RoadPulse Response

RoadPulse uses routine fleet movement for collection, allowing coverage to scale without matching increases in inspection labor.

Problem01 / 06

Condition records fall out of date between inspections.

Evidence Gap

Periodic inspections can leave long gaps between a road changing and that change appearing in municipal records.

RoadPulse Response

RoadPulse gathers condition signals from vehicles already traveling the network, making updates more frequent without adding dedicated survey routes.

Problem02 / 06

Complaint volume influences where inspections begin.

Evidence Gap

Resident reports provide useful context, but complaint volume does not produce consistent network coverage.

RoadPulse Response

RoadPulse adds systematic road-condition coverage that is independent of where complaints are submitted.

Problem03 / 06

Repair priorities are difficult to compare and defend.

Evidence Gap

Priority decisions are difficult to defend when observations are recorded using different methods or standards.

RoadPulse Response

RoadPulse organizes detected issues into a consistent, ranked review queue with supporting evidence.

Problem04 / 06

Preventive work is difficult to support during budget review.

Evidence Gap

Early intervention is harder to justify when deterioration is not documented before failure.

RoadPulse Response

RoadPulse preserves location-based condition records that can support budget and maintenance discussions.

Problem05 / 06

Decision records are fragmented across systems.

Evidence Gap

Photos, notes, complaints, and work records are often stored separately across municipal workflows.

RoadPulse Response

RoadPulse keeps each reviewed location and its supporting evidence together for reporting and follow-up.

Problem06 / 06

Manual inspection cannot cover the network as often as needed.

Evidence Gap

Limited field time makes frequent, network-wide manual inspection difficult to sustain.

RoadPulse Response

RoadPulse uses routine fleet movement for collection, allowing coverage to scale without matching increases in inspection labor.

Scope A Municipal Pilot

Built Around
Your Network.

Start with a free, non-binding scoping conversation about the roads, decisions, and reporting requirements your team wants to address. A pilot can then be defined around a selected coverage area and a small number of existing fleet vehicles.

Rollout Timeline
01
Scope TogetherMunicipality + RoadPulse

Select the coverage area, participating vehicles, reporting needs, and evaluation criteria.

02
InstallRoadPulse

Fit each participating vehicle with a RoadPulse sensor in approximately five minutes.

~5 min / vehicle
03
Collect During Normal RoutesExisting fleet or volunteer vehicles

Collect road-condition signals during routine driving without adding a dedicated survey vehicle.

04
Review And ActMunicipality, supported by RoadPulse

Review the condition map, ranked locations, evidence records, and reporting exports.

Accessible by end of week one
Questions before starting a pilot?Review common questions about rollout, data, and procurement.
View Pilot FAQ
Technical Workflow

Sensor Data To
Road-Condition Layers.

Primary Input

RoadPulse Sensor

RoadPulse vehicle sensor, antenna, and cable

Proprietary vehicle-mounted hardware records road-condition observations linked to time and anonymized location data.

Primary source of truth
Aerial / Satellite Imagery

Available aerial and satellite imagery adds visual context to sensor observations.

Public Records

Complaints, work orders, and related records connect observations to municipal history.

Configured Sources

Approved municipality-specific datasets add context from existing local operations.

Supporting context does not replace sensor measurements.
Processing

RoadPulse Processing

Measurements are map matched, repeated observations are combined, and severity and confidence are calculated.

01 / Map match observations02 / Combine repeated events03 / Score and compare over time
Platform Outputs

RoadPulse Platform

Pothole Identifier Map

Grouped pothole locations with severity and confidence information.

Road Roughness Layer

A network-level view of relative road-surface roughness.

Temporal Analysis

Observation differences over time for review, comparison, and auditing.

Severity & Confidence Metadata

Calculated severity and confidence values attached to reviewable locations.

Exportable Review Records

Location and observation records prepared for municipal reporting workflows.

Collection BoundaryPrivacy controls apply at ingestion.
No video collectedNo audio collectedLocation data anonymized
Sample Operating Map

Boston Road Issue
Map

A sample view of public road issue records organized into an operating map. In a pilot, each marker can include collection source, severity, location, review status, and reporting history.

...
Open Cases
...
Neighborhoods
4
Data Sources
Request Pilot Scoping
What this demo proves
Corroborated issues

Each marker can combine public reports, sensors, satellite, and AI signals.

Repair prioritization

Locked fields preview the severity, cost, and scheduling logic available in a full deployment.

Municipal workflow

The map turns scattered complaints and detections into a shared operating picture.

Loading map data...
Road Damage
|
Sensor
Satellite
AI Image
Gov API

About This Demo

This demo shows how scattered road issue records become one operating map. In a full deployment, each marker can be enriched by sensor data, imagery, AI analysis, and municipal records.

The RoadPulse Advantage

Municipal teams can move from raw detections to a shared repair queue, with priority, location, evidence, and reporting history kept in one place.

Free Municipal Pilot Program

Start With A Free
Municipal Pilot.

RoadPulse is currently running free pilot programs with municipalities. Initial discussions are also free and non-binding, so your team can explore a practical scope before making any commitment.

Discuss A Free PilotRead Pilot FAQ
Pilot Output
Map, queue, records, report
Email
hello@roadpulse.ch
Status
Accepting municipal pilots