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Nagahama Lab
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The lab analyzes automobile traffic and explores collaboration between humans and machines.
AboutAbout the lab
Understanding a world where diverse elements mix together
The Nagahama Lab studies the analysis of automobile traffic, as well as autonomous driving and driver-assistance technology.
It focuses on the "diversity of components": the components that give rise to social waves (such as traffic jam waves) are not all the same.
The lab aims for machines and humans to communicate appropriately and work together, controlling social waves in ways that humans alone cannot.
Traffic in emerging countries, where various vehicles run on roads without lanes, is also a subject of its research.
Key terms
- Two-dimensional mixed traffic
- Traffic in which various vehicles, such as motorcycles, cars, and trucks, run lengthwise and crosswise on roads without lanes
- Swarms
- Ordered patterns created by each vehicle type in traffic without lanes
- Social waves
- Large and small social phenomena that arise from the interaction of many elements, such as traffic jam waves or project delays
NewsLab news
A paper investigating vehicle swarms and traffic flow in lane-free mixed traffic was published
A paper on the effect of vehicle swarms on traffic flow was posted on arXiv
A paper investigating the relationship between second-generation antihistamines and driving was published
A paper investigating how vehicle swarms form in lane-free traffic was published in Physica A
A paper investigating the relationship between changes in reaction speed and deceleration waves in lane-free traffic was published
ResearchResearch themes
Through collaboration between machines and humans, the lab aims to control social waves in ways that humans alone cannot. It mainly works on the analysis of automobile traffic and on autonomous driving and driver-assistance technology.
*Illustrative imageAnalysis of two-dimensional mixed traffic in emerging countries
This research deals with traffic in which various vehicles, such as motorcycles, cars, and trucks, run on roads without lanes. The lab explores the ordered patterns (swarms) created by vehicle types, evaluates the risk of congestion caused by swarms, and builds simulation models that reproduce both swarms and the rest of the traffic, aiming for simulations that reproduce traffic characteristics more accurately.
*Illustrative imageHuman-machine collaborative systems
The lab takes up the relationship between humans and autonomous driving or driver-assistance technology. Its research includes preventing and relieving congestion in emerging-country traffic using autonomous driving technology, autonomous driving that learns a driver's preferences and gives immediate feedback, and information presentation methods in which the system encourages desirable behavior that drivers cannot understand or perceive, for congestion prevention and safety on snowy roads.
MembersFaculty
The Nagahama Lab consists of faculty, secretarial staff, and students in the master's and undergraduate programs.As of 2026
- Akihito Nagahama
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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: “Autonomous Delivery Vehicle Pileup” Mbrickn / CC BY-SA 4.0 (cropped)
- Analysis of two-dimensional mixed traffic in emerging countries: “World Class Traffic Jam Jersey Turnpike Version ( )” joiseyshowaa from Freehold, NJ, USA / CC BY-SA 2.0 (cropped)
- Human-machine collaborative systems: “Cobot” GrowSkills Robotics / CC BY-SA 4.0 (cropped)
- Related lab (植野 真臣 研究室): “Bayesian network” Sachs K, Gifford D, Jaakkola T, Sorger P, Lauffenburger DA. / CC BY-SA 4.0 (cropped)
- Related lab (岡本 一志 研究室): “Shopping online with bank card” Bogdan Hoyaux / European Commission / CC BY 4.0 (cropped)
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研究室): “Playing with Kilobots” QuarkyTale / CC BY-SA 4.0 (cropped)
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