Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
Name : 34th Fuzzy System Symposium
Number : 34
Location : [in Japanese]
Date : September 03, 2018 - September 05, 2018
In recent years, road managers have been using probe data to understand the actual condition of car traffic. The Ministry of Land, Infrastructure, Transport and Tourism promotes the use of ETC2.0 probe data, and the number of vehicles equipped with ETC 2.0 currently exceeds 3.7 million. The amount of accumulated data of ETC 2.0 probe data, which is the traveling and behavior history of a vehicle, has increased dramatically. Based on the amount of data accumulated and acquisition characteristics, we consider understanding the actual condition of car traffic from both the viewpoints of macro and micro to be possible. ETC2.0 probe data can be analyzed in more detail than the data used for existing road traffic analysis. In this study, the authors propose a road traffic analysis method that takes advantage of the unique features of ETC2.0 probe data.
