Nuclear field20230403

Road pavement maintenance management services using vehicle big data

Efficient diagnosis of the soundness of road pavement using probe data from connected cars. We will increase the productivity of road maintenance and repair work in local governments.

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

Features

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.

When analyzing connected car data, a certain threshold is set to ensure accordance with the criteria in the pavement inspection guidelines, and the soundness of the pavement is evaluated on a scale of Ⅰ (good) to Ⅲ (bad).

Results are displayed on the map, and pavement status can be confirmed and understood on the GIS

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