Accuracy-Based Reference Selection for Traffic Data Generation

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Solution Overview

Problem

Existing digital twin technologies for recreating real-world traffic environments in a virtual space face accuracy issues due to inadequate consideration of reference data quality during dataset synchronization, leading to decreased accuracy in synchronized observational datasets.

Innovation Solution

A data generation device selects reference data based on accuracy information to synchronize observational datasets from different positions, generating a synchronized observational dataset that accurately calculates the position of objects at a specific point in time, thereby improving the accuracy of predicted moving body information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If reference data is selected without considering accuracy, then the synchronization process can be simplified, but the accuracy of the synchronized observational dataset decreases

Engineering Contradiction:

Improvesynchronization process complexityVSAvoidaccuracy of synchronized observational dataset

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent changes the parameter of reference data selection by introducing accuracy information as a selection criterion. Instead of selecting reference data arbitrarily or based on simple availability, the system now selects reference data based on its accuracy metrics, thereby improving the accuracy of the synchronized observational dataset while maintaining a relatively simple synchronization process.

Inventive Principle:

Principle #35Parameter changes

2Productivity

If reference data accuracy is not considered, then data selection is faster and easier, but the reliability of position calculation deteriorates

Engineering Contradiction:

Improvedata selection speedVSAvoidreliability of position calculation

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent applies preliminary action by pre-evaluating and storing accuracy information for each observational dataset before the synchronization process. This allows the system to quickly select appropriate reference data based on pre-computed accuracy metrics, maintaining fast data selection while ensuring reliable position calculation through informed reference data choice.

Inventive Principle:

Principle #10Preliminary action

3Quantity of substance

If all observational datasets are synchronized without accuracy filtering, then the dataset volume increases, but the quality of the synchronized data decreases

Engineering Contradiction:

Improvevolume of synchronized datasetVSAvoidquality of synchronized data

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent applies local quality by differentiating the treatment of different observational datasets based on their individual accuracy characteristics. Instead of uniformly processing all datasets, the system selectively uses reference data with higher accuracy while still incorporating other datasets for comprehensive coverage, thereby maintaining high data quality while preserving useful information from all sources.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20250278856A1Data generation device, data generation method, non-transitory storage medium storing data generation program, and traffic service providing system

Publication Date: 2025.09.04 TOYOTA JIDOSHA KK

AI summary

A data generation device includes a communication device and processing circuitry. The communication device is configured to obtain, from sensors, observational datasets that have been obtained by continuously observing an object from different positions. The processing circuitry is configured to select reference data based on accuracy information related to the observational datasets, and generate a synchronized observational dataset by synchronizing the observational datasets with each other based on the reference data. The synchronized observational dataset is configured to be used to calculate a position of the object corresponding to a point in time after the observational datasets were obtained.