Road disaster response support system and program, road management method
The road disaster response support system leverages integrated data analysis and machine learning to rapidly assess disaster conditions, improving the efficiency of emergency response to road disasters.
JP7746518B1Active Publication Date: 2025-09-30葛西 章史
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Patent Information
- Application Number
- JP2024221630
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2024-12-18
- Publication Date
- 2025-09-30
- Estimated Expiration
- 2044-12-18
AI Technical Summary
Technical Problem
Existing methods for responding to road disasters, such as earthquakes, are time-consuming and labor-intensive due to reliance on visual patrols, hindering rapid decision-making and effective emergency response.
Method used
A road disaster response support system that integrates information from multiple sources (patrol status, optical fiber investigation, satellite investigation, weather conditions, and vehicle driving status) using machine learning to analyze and determine the need for response, complementing and correcting data for rapid decision-making.
Benefits of technology
Enables rapid and accurate assessment of road disaster conditions, facilitating quick and effective emergency response measures.
✦ Generated by Eureka AI based on patent content.
Abstract
In the past, road patrols would visually inspect roads and check the actual road conditions to determine whether to respond to road disasters in the event of a disaster, etc. However, making decisions based solely on visual patrols was time-consuming and labor-intensive, making it difficult to respond quickly. [Solution] A road disaster response support system comprising an information acquisition unit that acquires two or more pieces of information from the following: information on patrol status, information on optical fiber survey status, information on satellite survey status, information on weather conditions, information on vehicle driving status, and information on road service status; an analysis unit that analyzes the two or more pieces of information acquired by the information acquisition unit; and a decision unit that determines the need for road disaster response from the results of analysis by the analysis unit, wherein the decision unit determines the need for road disaster response, and the analysis unit performs analysis using artificial intelligence.
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