Slide 69
Slide 69 text
Fields Examples Contents
Disaster
Prevention
Disaster simulation By simulating disasters in a virtual space and predicting and analyzing the damage, the system will be used to formulate safe and
secure urban development plans and evacuation plans.
Real-time monitoring
and anomaly
detection
Monitoring and forecasting of data on flow rate, flow direction, and water pressure of drainage pipes, to detect abnormalities
such as leakage and backflow at an early stage and utilize the data for prevention of flooding and inundation, review of inspection
work (increase in frequency of daily inspection, etc.).
Detection of warning
signs of secondary
disasters during
landslides
By observing the height structure of the slope using aeronautical laser survey point cloud data, etc., the prediction detection of
sediment deformation, etc. is carried out, and it is utilized for the formulation of disaster prevention plan and evacuation plan,
information transmission, etc.
Town
Planning
Urban congestion
forecasting
Data on indoor and outdoor spaces in Tokyo (public spaces, metropolitan facilities, underground spaces, etc.) will be acquired to
monitor and forecast congestion and used to disseminate congestion information to Tokyo residents and improve daily
operational operations.
Urban development
simulation
Setting hypothetical conditions for urban regeneration, urban development, landscaping, and other future visions of the city, and
simulating sunlight, wind direction. This information will be utilized in development plans and explanations to the citizens.
Urban Smart Planning In addition to a 3D map of the city, it will simulate the movement and Migration status of people based on data obtained from
smartphone location data, surveillance cameras and sensors installed in the city, and predict the effects of the measures. Utilize
in the formulation, evaluation and review of city plans.
Mobility
Urban traffic
congestion
forecasting
The system acquires information of public transportation operations and traffic congestion in Tokyo, as well as on the availability
of parking spaces at Tokyo facilities and grasps and predicts congestion conditions for use in disseminating congestion
information to Tokyo residents, improving operation operations, and studying measures to relieve traffic congestion.
Transportation
network opening
simulation
Establishing hypothetical conditions such as traffic volume when a new transportation network is opened, and simulating traffic
volume and congestion occurrence. Then the simulation results will be used in the transportation network development plan.
Road maintenance
using 3D data
Using MMS point cloud data and analytical applications, observation of road surface rutting and accumulation of roadside
equipment ledgers will be carried out and utilized for urban planning, etc. that contributes to the safe operation of mobility.
Examples of services using the digital twins
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Service proposal for social implementation in expected fields of utilization.
*The content of the project is an example, and future projects to be realized in Tokyo will be discussed separately