Traffic Digital Twin Completion Using Object Existence Probability
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Solution Overview
Problem
In areas where there is no vehicle data, the existence of objects is unclear, leading to a decrease in the completeness of the traffic digital twin.
Innovation Solution
An information processing device that acquires object data from multiple objects, constructs a synchronized traffic digital twin, and determines an object existence probability in undetermined areas using methods such as inter-vehicle distance, distance from stop lines, and vehicle avoidance actions, reflecting this probability in the digital twin construction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If object data is acquired only from areas with direct sensor coverage, then the system complexity is reduced, but the completeness of the traffic digital twin deteriorates due to unknown objects in undetermined areas
Solution Approach 1:
The system performs preliminary actions by determining object existence probabilities in undetermined areas before finalizing the traffic digital twin construction. The determination unit calculates probabilities based on surrounding object data and environmental factors, allowing the system to proactively identify potential objects in areas without direct sensor coverage, thus improving completeness without requiring additional sensors in every location
Solution Approach 2:
The determination unit acts as an intermediary between the communication unit (which collects direct sensor data) and the processing unit (which constructs the digital twin). It uses object data from determined areas as intermediate information to infer the existence of objects in undetermined areas, bridging the gap between direct observations and complete digital representation
2Loss of information
If the system expands sensor coverage to all areas, then the completeness of the traffic digital twin is improved, but the cost and device complexity increase significantly
Solution Approach 1:
The system applies partial action by determining object existence probabilities only in undetermined areas rather than continuously monitoring all areas with equal intensity. It focuses computational resources on areas where object data is missing or uncertain, using selective probability determination based on surrounding context, thus achieving improved information completeness without the need for universal sensor deployment
Solution Approach 2:
The determination unit provides multi-functionality by serving multiple purposes: it fills gaps in the digital twin, predicts potential object locations, and enables informed decision-making for vehicle control. This single component performs what would otherwise require multiple specialized sensors and processing systems, reducing overall device complexity while maintaining information completeness
Data Source
AI summary
An information processing device (100) can improve the completeness of a traffic digital twin (130) by controlling communication with a plurality of objects (200). The information processing device (100) includes: a communication unit (110) configured to acquire object data from the plurality of objects through the communication; a processing unit (120) configured to construct a traffic digital twin (130) synchronized in time with a real space, in a virtual space, based on the object data acquired by the communication unit (110); and a determination unit (140) configured to determine an object existence probability in an undetermined area where there is no object data in the traffic digital twin (130), based on the object data around the undetermined area, and notify the processing unit (120) of the determined object existence probability in the undetermined area.