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Transport Control Lab
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A lab that uses mathematics to achieve congestion-free transportation and to understand how cities form concentrations of people and firms.

AboutAbout the lab
Solving and controlling urban transportation with mathematics.
The Transport Control Lab studies mathematical and information-science methods for planning and operating urban and transportation systems.
Made up of the Akamatsu Lab and the Satsukawa Lab, it covers fields such as transportation, spatial economics, and investment.
Using information and communication technology and game theory, the lab explores how to build comfortable, congestion-free transportation systems.
It also works on designing institutions for bringing new modes of mobility, such as autonomous driving, sharing, and MaaS, into cities.
Key terms
- Game theory
- A mathematical framework for analyzing the behavior of people and organizations that make choices while watching what others do
- Transportation demand management
- An approach that reduces congestion by changing how people travel, rather than by building more roads
- MaaS
- Mobility as a Service: a system that lets people search for, book, and pay for multiple modes of transport, such as trains, buses, and taxis, as a single service
NewsLab news
A paper by Associate Professor Satsukawa and colleagues was published in Transportmetrica B: Transport Dynamics
A paper by Professor Akamatsu and colleagues was published in Transportation Research Part C: Emerging Technologies
A paper by Associate Professor Satsukawa and colleagues was published in Transportation Research Part C: Emerging Technologies
A paper by Associate Professor Satsukawa and colleagues was published in Transportation Research Part B: Methodological
A paper by Associate Professor Satsukawa and colleagues was published in Transportation Science
ResearchResearch themes
Made up of the Akamatsu Lab and the Satsukawa Lab, the lab studies mathematical and information-science methodologies for planning and operating urban and transportation systems. Its scope is broad, ranging from transportation science to spatial economics, investment decision-making, and the institutional design of new mobility.
*Illustrative imageTransportation science and transportation planning
To realize comfortable, congestion-free transportation systems, the lab develops new transportation demand management methods that make use of information and communication technology and game theory.
*Illustrative imageHow people and firms concentrate in cities
In urban and regional systems, patterns of spatial agglomeration of firms and population form in a self-organizing way. The lab studies mathematical models that can explain the economic mechanisms behind them.
*Illustrative imageMaking investment decisions under uncertainty
Urban and infrastructure facilities are used for a long time, so they are exposed to uncertainty in the future economy and physical environment. Taking that risk into account, the lab develops mathematical methods for optimizing investment and operational decisions.
*Illustrative imageAnalyzing and controlling the evolution of traffic flow
The lab analyzes the spatiotemporal patterns of traffic flow that emerge in a self-organizing way from people's adaptive behavior, and how those patterns evolve. It also develops dynamic traffic control strategies based on evolutionary game theory and optimization, and carries out research that theoretically guarantees their convergence and stability.
MembersFaculty
- ProfessorTakashi Akamatsu
- Associate ProfessorKoki Satsukawa
VoicesStudent voices
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Report an errorAbout the images
For images provided to us or used with permission, the source is listed on each line. Wikimedia Commons images are illustrative and were not taken at the lab (they are cropped). Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Waru Interchange and City of Tomorrow Superblocks, bordering with Surabaya and Sidoarjo (July 2018).” consigliere ivan from Bontang, Indonesia / CC BY 2.0 (cropped)
- Transportation science and transportation planning: “Tosu JCT 2021” Peka / CC BY 4.0 (cropped)
- How people and firms concentrate in cities: “Toronto Financial District from SkyPod, CN Tower, Toronto, Ontario ( )” Ken Lund from Reno, Nevada, USA / CC BY-SA 2.0 (cropped)
- Making investment decisions under uncertainty: “Akashi Bridge” Tysto / Public domain (cropped)
- Analyzing and controlling the evolution of traffic flow: “Drone view of roundabout (Unsplash)” Enrapture Media enrapture / CC0 (cropped)
- Related lab (Spatial Planning Science Lab): “Aerial view of suburban housing in Blacklick, Ohio, October 2024” Pi. / CC BY-SA 4.0 (cropped)
- Related lab (Advanced Social Infrastructure Lab): “Levee breach site of the Chikuma River in the Hobo district, Nagano, Nagano Prefecture, during Typhoon Hagibis (Typhoon No. 19) in Reiwa 1 (2019)” 国土地理院 / CC BY 4.0 (cropped)
- Related lab ([International Research Institute of Disaster Science] Disaster Culture Archive Lab): “Sigmaringen 2010 004” Klaus Graf / CC BY 3.0 (cropped)
- Related lab (Advanced Computational Mechanics Lab): “Sediment Flow Simulation” 東北大学 先進計算力学研究室 / 研究室からの
提供 (cropped)
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