i-Probe-Supported Research Published on Connected Vehicle Road Surface

Defect Detecon

Peer-reviewed study demonstrates the potenal of Connected Vehicle-based data for scalable road condion monitoring.

June 12, 2026 – McLEAN, Virginia

i-Probe Inc. announced the publicaon of a new peer-reviewed research arcle examining how data collected by

connected vehicles (CV) can be used to detect and analyze road surface defects.

The arcle, “Machine Learning-Based Road Surface Defect Detecon from

Signal Features Using Data from an Instrumented Vehicle Plaorm,” was

published in the June 2026 issue of the internaonal peer-reviewed journal

Infrastructures.

The research, conducted in collaboraon with the University of Central Florida

and supported in part by i-Probe, found that road roughness vibraon signals

detected by the study CVs show idenable paerns associated with various

road defects. The study achieved 89% accuracy in idenfying defecve road

secons and 90% accuracy in disnguishing potholes from pavement patches

within the evaluated dataset.

These ndings support the concept behind i-Probe's Road Condion

Monitoring Big Data Analycs Service (RoCoMo-BDAS), which uses a vast

network of producon CVs to monitor road condions across large networks

connuously and passively without need for dedicated inspecon equipment.

The study was conducted using data from an instrumented vehicle within a limited geographic area. Further

validaon is needed across dierent vehicle types, roadway environments, pavement condions, and defect types.

The study team is considering future research to expand invesgaon on how CV-based data can support more

comprehensive and scalable idencaon of roadway defects. Such research could support the use of CVs as a

complement to convenonal pavement inspecons and operaons.

“This research demonstrates the potenal for connected vehicle data to accurately provide meaningful informaon

about pavement defects,” said Dr. Daisuke Oshima, President and CEO of i-Probe. “We expect future studies to build

on these ndings and further validate the potenal of connected vehicle data across a wider range of condions.”

Read the full research arcle:

hps://www.mdpi.com/2412-3811/11/6/200

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i-Probe Inc. (IPI) is a connected vehicle data analycs company specializing in large-scale vehicle sensor data to

support ecient and proacve infrastructure management. By leveraging connected vehicle sensor data, IPI

provides data-driven roadway condion monitoring services, including network-wide pavement roughness

monitoring and early-stage deterioraon alerts. This approach enables road agencies to transion from reacve

maintenance to more strategic, data-informed decision-making.