Honda Motor(US:HMC) Prnewswire·2026-01-29 13:15Core Insights - Honda and DriveOhio have completed a pilot project for a Proactive Roadway Maintenance System that utilizes real-time vehicle-generated data to detect and report road deficiencies, aiming to enhance roadway safety and maintenance efficiency [1][2] Group 1: Project Overview - The pilot project was conducted in collaboration with i-Probe Inc., Parsons Corporation, and the University of Cincinnati, focusing on automated road condition management to optimize maintenance and reduce costs [1] - The system achieved high accuracy rates: 99% for damaged or obstructed signs, 93% for damaged guardrails, and an average of 89% for potholes [1] - The project monitored approximately 3,000 miles of roads in central and southeastern Ohio under various real-world conditions [1] Group 2: System Functionality - The Proactive Roadway Maintenance System detects various road conditions, including potholes, faded lane markings, road roughness, and damaged infrastructure [1] - Data collected by the vehicles is processed using Edge AI models and integrated into the Parsons iNET® Asset Guardian system, allowing for real-time insights and automated work order generation [1] - The system reduces the need for manual inspections, enhancing safety for maintenance crews and minimizing their exposure to traffic hazards [1] Group 3: Financial Implications - The automated detection system could save the Ohio Department of Transportation (ODOT) over $4.5 million annually by reducing manual inspection time and optimizing maintenance schedules [1] Group 4: Future Directions - The next phase of testing aims to scale the Proactive Roadway Maintenance System for real-world operations, with a focus on empowering drivers to contribute to roadway safety through anonymized data sharing [2] - The project exemplifies a successful collaboration among public, private, and academic sectors, highlighting the potential of vehicle sensor data for proactive asset management [2]