2025年度ベンチャー体験工房3
Undergraduate School and Graduate School
学部・大学院
- ベンチャー体験工房3
- Developing a Novel Pattern Mining Model to Discover Hidden Patterns in Fukushima Traffic Congestion Big Data
- - Japan Road Transportation Information Center (JARTIC) has set up the sensor network to monitor traffic congestion in Fukushima.
- Each road-segment in this network generates data at every 5-minute interval.
- Previous year, we have developed a data warehouse technology that generates data frames at 10 times faster than the state-of-the-art.
- This year, we plan to develop a novel pattern algorithm to discover hidden patterns. - シラバス詳細
2025年4月
4月7日
Introduction to Traffic Information Systems: Understanding JARTIC and TCSS
授業内容：We covered the role of the Japan Road Traffic Information Center (JARTIC) and the Traffic Congestion Statistical System (TCSS). We explored how JARTIC collects and distributes traffic information through 133 centers nationwide. The importance of real-time traffic data for road users was highlighted.
4月14日
Data Collection Techniques: Sensors and Measurement Points
授業内容：We learned about the data collection process using sensors installed at over 40,000 measurement points. The types of sensors, such as ultrasonic vehicle detectors, and the significance of collecting traffic volume and occupancy time every 5 minutes were thoroughly analyzed.
4月21日
Real-Time Traffic Analysis: Interpreting
Congestion Data
授業内容：This class focused on the processing and interpretation of live traffic data, including the classification of congestion status into traffic jam, congestion, no congestion, and unknown (sensor abnormality). We practiced accessing this data through the TCSS interface.
