Traffic Assistance Control via Location Matching
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Solution Overview
Problem
Existing technologies face challenges in providing effective assistance to vulnerable traffic participants, such as pedestrians, by accurately identifying and responding to their movements and behaviors in real-time, especially in areas without comprehensive surveillance or communication infrastructure.
Innovation Solution
The proposed assistance controlling apparatus and method utilize a network of image capturing apparatuses, user terminals, and in-vehicle processing units to collect and analyze location, recognition, and movement characteristic information of both vehicles and pedestrians. This information is then stored and matched to provide real-time assistance to traffic participants through mobile communication, even in areas without direct surveillance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a network of image capturing apparatuses and user terminals is used to collect and analyze traffic participant information, then traffic safety and assistance effectiveness are improved, but device complexity and infrastructure requirements increase
Solution Approach 1:
The patent introduces a server as an intermediary that centralizes the complex functions of data collection, storage, matching, and analysis. Instead of distributing complex processing across multiple image capturing apparatuses and user terminals, the server acts as a mediator that receives information from various sources, performs sophisticated matching between terminal information and moving object information, and provides assistance. This resolves the contradiction by concentrating complexity in a dedicated intermediary component while keeping individual system elements simpler.
Solution Approach 2:
The system enables user terminals to autonomously provide information about their carriers (pedestrians or vehicles) to the server. The terminal information includes identification information and attributes that automatically identify the type of moving object. This self-service mechanism allows the system to collect comprehensive traffic participant data without requiring manual input or complex coordination between devices, improving reliability while managing complexity through automated information provision.
2Speed
If real-time matching and assistance provision is implemented for all traffic participants, then response speed and safety are improved, but information processing load and system complexity increase
Solution Approach 1:
The server performs preliminary actions by pre-storing terminal information and moving object information separately in structured formats before matching is needed. Terminal information includes identification information and attributes that automatically identify the type of moving object, while moving object information includes location and recognition information. This preliminary organization of data into distinct, pre-processed categories enables rapid matching when assistance is needed, improving response speed while managing processing complexity through advance data preparation.
Solution Approach 2:
The patent segments information processing into distinct modules: terminal information management, moving object information management, and matching processing. Each segment handles specific tasks independently - the server stores terminal information with automatic identification of carrier type, separately stores moving object information with location and recognition data, and performs matching only when assistance is required. This segmentation reduces the information processing load at any given moment while enabling comprehensive real-time assistance through coordinated modular operations.
3Measurement precision
If comprehensive attribute information is collected and stored for traffic participants, then assistance accuracy is improved, but data storage requirements and privacy concerns increase
Solution Approach 1:
The patent extracts and stores only the essential attributes needed for identification and assistance - terminal information includes identification information and attributes that automatically identify the type of moving object (pedestrian or vehicle), while moving object information includes location and recognition information. By extracting only these critical data elements rather than storing all possible information about traffic participants, the system achieves accurate identification and effective assistance while minimizing data storage requirements and addressing privacy concerns through selective information retention.
Data Source
AI summary
An assistance controlling apparatus includes: a first acquiring unit which acquires identification information of a user terminal associated with a user and location information of the user terminal; a second acquiring unit which acquires movement characteristic information of a moving object and location information of the moving object that are acquired by analyzing an image of the moving object acquired by an image capturing apparatus; a storage controlling unit which performs control for storing the movement characteristic information of the moving object in association with the identification information of the user terminal when the location information of the user terminal and the location information of the moving object match; and an assistance controlling unit which performs control related to assistance for a traffic participant based on the identification information of the user terminal and the movement characteristic information of the moving object that are stored in association with each other.