2022 Volume 1 Issue 1 Pages 345-355
Municipal roads account for about 84% of the total length of roads in Japan, and they extend to every corner of the country. Municipalities are facing a shortage of technical staff and financial resources, and are required to save labor in many fields. On the other hand, understanding the current traffic volume is an important basic data collection for road maintenance and management. In this paper, we use Tamana City Hall as a case study, which is a local public organization with insufficient financial resources and technical staff, to analyze the problems of traffic volume surveys conducted directly by the city, and to implement a simple traffic volume survey using a trail in order to improve operations under the constraints of limited resources (staff and budget). Based on the results of this practice, further problems are extracted, and a simple traffic volume survey that combines low and high technologies is described, which aims to save labor by using artificial intelligence.
