CEE Seminar: Detection Methods of Traffic Incidents with Massive Probe Vehicle Dataset
University of Tokyo, Japan
Abstract: Traffic flow monitoring is an important process of road traffic management. With improvements in information technology systems, many sensors such as traffic detectors and probe vehicles generate large amounts of traffic flow data. The recent deployment of probe vehicles enables us to observe a dense and wide-ranging road network. They are expected to cover a huge amount of incidents or unusual situations that are usually overlooked. This study introduces a method that can detect incidents that influence a large area in the network. The method is applied to the massive probe vehicle dataset that is collected by about 40,000 commercial vehicles all over Japan for one year.
Bio: Takahiko Kusakabe received a doctorate in engineering from Kobe University, Kobe, Japan. He was a Research Fellow of the Japan Society for the Promotion of Science; assistant professor at Tokyo Institute of Technology, and is currently assistant professor at the Center for Spatial Information Science, the University of Tokyo. He received the Best Paper Award at the IEEE 18th International Conference on Intelligent Transportation Systems and the Young Scholar Paper Award from Japan Society of Civil Engineers.
Google Scholar: https://scholar.google.com/citations?user=4Kt60z4AAAAJ&hl=ja