Ohio's Department of Transportation (ODOT) has partnered with automaker Honda to test whether sensor-equipped vehicles can effectively detect potholes and other road hazards. The two-year study used Hondas equipped with cameras and Lidar sensors to identify areas in need of repair, and the results were promising.
According to a recent pilot program, vehicle-generated data was found to be effective in reporting roads that required repairs or had deficient signage and directions. Over 3,000 miles of Ohio's roads were covered by the study, which involved Honda workers driving vehicles equipped with various sensors to identify problems such as poor road quality, damaged guardrails, and insufficient lane markings.
The system, developed by Honda as part of its Proactive Roadway Maintenance System, uses data from production vehicle sensors to collect information on road hazards. While not designed primarily for asset monitoring, these sensors are able to gather continuous data during daily driving, making them a valuable resource.
However, the effectiveness of this technology relies on advanced analytics and verification processes, including human employees who verified sensor picks and reported findings to ODOT using Parsons' technology. The results showed that 99% of damaged or hidden signs were detected accurately, 93% of damaged guardrails, and 89% of potholes.
According to Honda, the system has the potential to save Ohio's DOT $4.5 million in road maintenance costs due to reduced inspection time, improved repair scheduling, and better preventative planning. The automaker plans to continue testing its Proactive Roadway Maintenance System and exploring ways to allow drivers to anonymously share data with ODOT and report problems on the road.
While this technology is still in its infancy, Honda's pilot program suggests that sensor-equipped vehicles could play a significant role in enhancing safety and reducing costs for road maintenance. The company plans to take this project forward in future phases, potentially even integrating it into autonomous taxi services.
According to a recent pilot program, vehicle-generated data was found to be effective in reporting roads that required repairs or had deficient signage and directions. Over 3,000 miles of Ohio's roads were covered by the study, which involved Honda workers driving vehicles equipped with various sensors to identify problems such as poor road quality, damaged guardrails, and insufficient lane markings.
The system, developed by Honda as part of its Proactive Roadway Maintenance System, uses data from production vehicle sensors to collect information on road hazards. While not designed primarily for asset monitoring, these sensors are able to gather continuous data during daily driving, making them a valuable resource.
However, the effectiveness of this technology relies on advanced analytics and verification processes, including human employees who verified sensor picks and reported findings to ODOT using Parsons' technology. The results showed that 99% of damaged or hidden signs were detected accurately, 93% of damaged guardrails, and 89% of potholes.
According to Honda, the system has the potential to save Ohio's DOT $4.5 million in road maintenance costs due to reduced inspection time, improved repair scheduling, and better preventative planning. The automaker plans to continue testing its Proactive Roadway Maintenance System and exploring ways to allow drivers to anonymously share data with ODOT and report problems on the road.
While this technology is still in its infancy, Honda's pilot program suggests that sensor-equipped vehicles could play a significant role in enhancing safety and reducing costs for road maintenance. The company plans to take this project forward in future phases, potentially even integrating it into autonomous taxi services.