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Advanced Mobility Engineering Lab
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The lab supports roads and transportation in snowy regions with AI and data.
AboutAbout the lab
Making winter roads safer with AI and data.
The Advanced Mobility Engineering Lab studies road and traffic management based on AI and data science.
It aims to realize safe and comfortable transportation, including autonomous vehicles.
In snowy, cold regions such as Hokkaido, the lab tackles the problems that heavy snow, snowdrifts, and icy road surfaces cause on winter roads.
Ahead of field tests with real vehicles on autonomous driving and on hazardous winter roads, the lab uses VR (virtual reality) to analyze how vehicle occupants and road users behave.
Key terms
- Edge computer
- A small computer that performs computation close to where data is generated, which reduces the amount of data that must be sent
- Digital twin
- A faithful replica of real roads and cities recreated inside a computer based on data
- Traffic management
- Management that keeps traffic flowing safely and smoothly through measures such as traffic restrictions and information provision
ResearchResearch themes
The lab works in three technical areas: data collection and analysis platforms for road conditions; visualization and control for road and traffic management; and next-generation road and traffic management that utilizes natural energy. Its research uses small in-vehicle computers, AI, and VR that reproduces road space.
*Illustrative imageCollecting and analyzing road condition data
Using edge computers, the lab collects winter road conditions in real time with low communication volume, and uses AI to build digital twins. It aims to contribute to winter road traffic management, including weather and traffic forecasting, traffic restrictions, and snow removal and hauling.
*Illustrative imageVisualizing changes in winter roads
Road changes that hinder the movement of people and goods in snowy, cold regions, such as heavy snow, reduced visibility, snowdrifts, and icy road surfaces, are visualized with digital twins built by AI. The lab is examining mechanisms that can be used for winter road traffic management.
*Illustrative imageNatural energy and next-generation roads
Snow, water, and wind, which are abundant in Hokkaido, hinder movement through poor visibility and snowdrifts, but also hold diverse possibilities. Extracting wind energy near a road weakens the wind on the road, so the lab is examining future road management mechanisms that focus on the relationship between natural energy and traffic.
MembersFaculty
The members of the Advanced Mobility Engineering Lab are faculty, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorToshio Yoshii
- Associate ProfessorSho Takahashi
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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: “Tokachi-dake Skyline (Route 966) in Winter - panoramio” Kenneth Lee Sutherla… / CC BY 3.0 (cropped)
- Collecting and analyzing road condition data: “Snow Plow on Meadowlands Trunk Road - St. Louis County - Minnesota in Winter ( )” Tony Webster / CC BY 2.0 (cropped)
- Visualizing changes in winter roads: “Whiteout on Ontario Highway 404” Theonlysilentbob / CC BY-SA 3.0 (cropped)
- Natural energy and next-generation roads: “Otonrui Wind Farm and Hokkaido Prefectural Road Route 106” Yasu (talk) / CC BY-SA 3.0 (cropped)
- Related lab (Urban Disaster Prevention Lab): “Liquefaction in Kiyota Ward, Sapporo, caused by the 2018 Hokkaido Eastern Iburi Earthquake” 北海道開発局 / CC BY 4.0 (cropped)
- Related lab (Infrastructure Planning Lab): “Aerial view of Hokuto Chuo Interchange and its surrounding area - Nov 9, 2024” Ryo FUKAsawa / CC BY 2.0 (cropped)
- Related lab (Structural Systems Lab): “Austin Texas LiDAR Point Cloud (Highway 183)” Rebecca equator / CC BY-SA 4.0 (cropped)
- Related lab (Transportation Network Analysis Lab): “Aerial view of M6A38 Spaghetti Junction” Highways Agency / CC BY 2.0 (cropped)
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