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Urban and Transportation Science Lab
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A traffic engineering lab that reads road and traffic data through the lens of angles.
AboutAbout the lab
Reading transportation through angular data.
The Urban and Transportation Science Lab uses angular data as a clue to study traffic engineering and civil engineering planning.
The lab analyzes the shape of road networks, time variation in traffic volume, and route choice using directional statistics, a statistical method for data on a circle.
The research theme is "angular data and traffic engineering / civil engineering planning."
The lab's website is the personal page of Project Assistant Professor Kota Nagasaki, and in the faculty information of the College of Policy and Planning Sciences it is listed under the name "Nagasaki Lab."
Key terms
- Directional statistics
- Directional statistics: a branch of statistics that deals with data that returns to its starting point after a full turn, such as angles and directions.
- Route choice
- Route choice: how people choose which path to take to reach a destination. A mathematical representation of it is called a route choice model.
- Civil engineering planning
- Civil engineering planning: the field that studies how to develop and use facilities that form the foundation of society, such as roads and railways.
ResearchResearch themes
This lab analyzes transportation data such as road networks and traffic volumes, focusing on angles. It uses directional statistics to handle the distribution of road network orientations, time variation in traffic volume, route choice, pedestrian flows, and more.
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MembersFaculty
- Project Assistant ProfessorKota Nagasaki
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Street intersection, traffic lights in Batman” Zalasem1 / CC BY 4.0 (cropped)
- Reading Transportation Through Angular Data: “NYC-GRID-1811” James S. Kemp (as "Jas. S. Kemp") / Public domain (cropped)
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（小西 葉子） ): “Data Analysis ( )” IAEA Imagebank / CC BY 2.0 (cropped) - Related lab (都市交通研究室): “Urban transport ( )” Kevin Prince / CC BY-SA 2.0 (cropped)
- Related lab (黒瀬研究室): “No Known Restrictions Trading Floor, New York Stock Exchange (Highsmith LOC) ( )” Carol M. Highsmith / Public domain (cropped)
- Related lab (都市政策科学研究室): “A view of a sub urban area of Guatemala City in Guatemala” Jose Hernandez / CC BY-SA 2.0 (cropped)
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