Nuclear field20230403
Road pavement maintenance management services using vehicle big data
Field:
Infrastructure, maintenance, management, and renovation business > Mobility field
Keyword:
Overview
The total length of roads in Japan is about 1.28 million kilometers, and the average length of roads managed by each prefecture is said to be about 2,500 to 6,000 kilometers. In the
maintenance and management of road pavement by local governments, road surface condition surveys using dedicated vehicles are generally commissioned for emergency transportation roads
and arterial roads, and the soundness of pavement, etc., is evaluated. Other roads are being visually inspected by local government officials or commissioned patrols. Furthermore,
tasks such as repair work are currently being carried out based on information reported by citizens.
As labor shortages and financial resource shortages become more serious due to the declining birthrate in Japan, the best way to efficiently manage the vast number of routes owned by
local governments has become an issue.
OYO Corporation provides a wide-area pavement soundness evaluation service that utilizes probe data transmitted by connected cars (cars that are constantly connected to the internet and have functions as moving sensors). By using the internet to aggregate data from general connected cars traveling on roads and then analyzing the big data, it is possible to efficiently and inexpensively monitor the soundness of all road networks in local governments across a wide area.
Features
Analyze data such as changes in wheel behavior and rotation speed constantly transmitted by connected cars in order to understand road surface conditions such as bumps and cracks
Data on driving conditions
- Engine RPM
- Operation status of accelerator / brake pedal, etc.
- Vehicle speed, acceleration, shift position
-
Driving position, location information
etc.
Data on vehicle status
- Display information of warning light
-
Diagnostic information
etc.
Experiments for comparison with conventional methods
The following compares pavement soundness evaluation results using this service and conventional methods for surveying the road surface condition. As a result of the verification experiment, the rate of matching between the soundness level Ⅰ to Ⅲ evaluation by connected cars and the same evaluation by conventional surveys of road surface conditions was 95%. These results confirm that this service using connected cars also has sufficient evaluation accuracy.
Classification | Status | Cracking rate | Rutting amount | IRI | Connected car | |
---|---|---|---|---|---|---|
Ⅰ | Sound condition | Damage level: Small | approx. lower than 20% | approx. less than 20 mm | approx. less than 3 mm per meter | Diagnosis Ⅰ |
Ⅱ | Surface function retention stage | Damage level: Medium | approx. 20% or higher | approx. 20 mm and more | approx. 3 mm per meter and more | Diagnosis Ⅱ |
Ⅲ | Repair stage | Damage level: Large | approx. 40% or higher | approx. 40 mm and more | approx. 8 mm per meter and more | Diagnosis Ⅲ |