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Wednesday, 15 December 2021 11:19

Honda Conducting Pilot in Ohio of New Road Condition Monitoring System

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Honda Research Institute USA, Inc. is developing a road condition monitoring system that uses vehicle technology to evaluate road conditions in an effort to detect possible hazards.

With this vehicle-generated road condition reporting system, Honda hopes to help road operators monitor lane marking conditions in a more frequent, efficient and cost-effective way that helps fulfill Honda's concept of "Safety for Everyone."

 

A video demonstration of the system is available here.

 

Honda Research Institute is conducting a pilot program in Ohio to evaluate a system that uses GPS coordinates and sensors such as cameras to collect real-time road condition information that can be shared with road operators. Honda is collaborating with the Ohio Department of Transportation and plans to start providing road condition data in early 2022, from Honda vehicles used as part of the pilot program, to help enhance the efficiency of the road maintenance operation in Ohio.

 

Honda Research Institute also is exploring how connected vehicles can access the anonymized data to adjust Honda and Acura Advanced Driver Assistance System's (ADAS) perception settings, and if needed, warn drivers if lane markings are faded or are in need of repair.

 

"Maintaining good road conditions helps keep everyone sharing the road safe," said Paritosh Kelkar, scientist at Honda Research Institute USA, Inc. and project leader of the road condition monitoring system. "Real-time, high-accuracy roadway data captured from connected vehicles has the potential to improve the process of identifying, reporting and more quickly repairing hazardous road conditions."

 

When monitoring lane marking conditions, the system visually classifies lane lines to the left and right of the vehicle using four color codes: green, yellow, grey and red. Green and yellow classifications respectively indicate ideal to good lane marking conditions. The system displays grey classifications when there are no lane lines and red if the lane markings need repair.

 

That road condition information, including longitude and latitude coordinates along with relevant images and video clips, is captured by the vehicle, anonymized and then...


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