Digital Twin Data Assimilation for Traffic Demand Estimation
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Solution Overview
Problem
Existing digital twin technologies face limitations in the accuracy of data assimilation due to the inability to observe every piece of data in the real world, leading to suboptimal results in traffic demand estimation.
Innovation Solution
A non-transitory computer-readable recording medium storing an information processing program that enables a management device of a digital twin to observe the first movement amount of an object in the real world, specify a second movement amount of an agent in the virtual space, and execute data assimilation processing to improve the accuracy of traffic demand estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data assimilation is performed using limited observation data, then processing can be executed, but accuracy of traffic demand estimation deteriorates
Solution Approach 1:
The patent implements feedback by repeatedly performing data assimilation processing where simulation results are compared with observation data, and the simulation trajectory is corrected based on the comparison. This iterative feedback loop continuously improves the accuracy of traffic demand estimation by incorporating new observation data and adjusting the simulation model accordingly.
Solution Approach 2:
The patent performs preliminary action by executing simulation to predict traffic demand before comparing it with actual observation data. This preliminary simulation provides an initial estimate that can be refined through data assimilation, allowing the system to proactively generate traffic demand predictions that are subsequently improved using available observation data.
2Measurement precision
If simulation trajectory is corrected based on observation data, then accuracy improves, but processing complexity increases
Solution Approach 1:
The patent segments the data assimilation process into distinct steps: (1) executing simulation to obtain initial results, (2) comparing simulation results with observation data, and (3) correcting the simulation trajectory based on comparison results. This segmentation makes the complex processing more manageable and systematic, breaking down the overall task into smaller, more controllable operations.
Solution Approach 2:
The patent applies dynamics by making the simulation trajectory flexible and adjustable through correction based on observation data. Rather than using a fixed simulation model, the system dynamically modifies the simulation trajectory to better match actual observations, allowing the model to adapt and improve accuracy over time.
Data Source
AI summary
A non-transitory computer-readable recording medium storing an information processing program for causing a management device of a digital twin that reproduces a real world in a virtual space to execute a process includes observing a first movement amount of an object that exists in the real world, specifying a second movement amount of an agent that corresponds to the object in the virtual space, and executing data assimilation processing of the digital twin based on the first movement amount that has been observed and the second movement amount that has been specified.