Development of a real-time cross-sectional traffic volume measurement system using AI

Abstract

Traffic volume surveys are conducted throughout Japan to obtain basic information for road management and other purposes. Traditional manual observation methods have been largely phased out, and various observation methods, such as continuous traffic volume monitoring devices and AI observation using CCTV images, are employed. However, these methods do not provide comprehensive coverage of the extensive road network in Japan. There is a need for a versatile and universally applicable traffic volume survey method that allows for easy installation and removal in any location.

In this study, we developed a traffic volume survey system specifically for sectional surveys. By using easily deployable cameras, edge devices, and LTE router, we were able to acquire real-time traffic volume data on-site using cloud technology. In addition, the system was designed to facilitate data accumulation and utilization. To validate the effectiveness of the system, a traffic volume survey was conducted on the Ube Road as a practical application.