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JP-7857066-B1 - Road disaster response support system and program, road management method

JP7857066B1JP 7857066 B1JP7857066 B1JP 7857066B1JP-7857066-B1

Abstract

[Challenges] Traditionally, road infrastructure maintenance has focused primarily on emergency response after accidents, making it difficult to manage the risk of road hollowing during normal times. Furthermore, there have been challenges in the dynamic use of pre-planning and real-time decision-making support during road clearing in the event of a disaster. Moreover, with the increase in foreign visitors to Japan, the need for multilingual road disaster response information is growing, and there is a demand for flexible support technologies that can integrate preventive maintenance, disaster response, and multilingual support. [Solution] This invention relates to road maintenance and disaster response technology, and provides a support system that uses sensing means such as artificial satellites, optical fibers, and vehicle movement to predict infrastructure hollowing risks during normal times and to formulate road clearing implementation plans based on pre-registered road clearing plans during disasters. Furthermore, it is equipped with a multilingual information provision function, enabling effective support for foreign visitors to Japan and others. [Selection Diagram] Figure 1

Inventors

  • 葛西 章史

Assignees

  • 葛西 章史

Dates

Publication Date
20260512
Application Date
20250823

Claims (20)

  1. A road disaster response support system related to road clearing, Information acquisition unit that acquires information on road disaster conditions, An analysis unit analyzes the information acquired by the information acquisition unit and generates analysis results, It includes a road clearing department that registers pre-formulated road clearing plans, including road clearing routes, before a disaster occurs, If the analysis unit determines that the road disaster situation is severe due to an earthquake of magnitude 6 or higher, widespread wind and flood damage, widespread snow damage, or widespread landslide, The road disaster response support system determines the road clearing route based on the road clearing plan registered by the road clearing unit and the analysis results by the analysis unit. Based on the information acquired by the information acquisition unit or the analysis results by the analysis unit, the risk of subsurface void formation in the road opening route is evaluated. A road disaster response support system characterized by formulating or updating a road clearing implementation plan that includes information on road clearing work for each road clearing target segment in the road clearing route, using the evaluation results .
  2. A road disaster response support system according to claim 1, The road clearing unit is characterized by having the function of performing an evaluation based on cost, time required, and safety for multiple candidate road clearing routes, and formulating or updating the optimal road clearing implementation plan.
  3. A road disaster response support system according to claim 1, The aforementioned road clearing unit evaluates the priority of relief activities based on multiple types of information, including past disaster history information, current damage status information, information on the functionality of evacuation centers, information on the functionality of medical facilities, and information on the functionality of logistics centers. Based on the priority of the rescue activities, it has a function to automatically generate the order of road clearing for each road clearing target segment, A road disaster response support system characterized by having a function to dynamically update the road clearing sequence in accordance with at least one of the following: weather, traffic disruptions, or aftershock risk.
  4. A road disaster response support system according to claim 1, The road clearing unit is characterized by having a function to formulate or update the road clearing implementation plan based on analysis using an artificial intelligence model.
  5. A road disaster response support system according to claim 1, The road disaster response support system, based on the analysis results by the analysis unit or the information acquired by the information acquisition unit, A road disaster response support system characterized by having a function to determine or update the road clearing route using an artificial intelligence model.
  6. A road disaster response support system according to claim 1, The road disaster response support system is characterized in that the information acquisition unit is configured to acquire at least two or more pieces of information from among patrol information, fiber optic survey information, satellite survey information, road service information, weather information, and vehicle driving information.
  7. A road disaster response support system according to claim 1, The road disaster response support system is characterized in that the analysis unit has a configuration that performs integrated analysis based on multiple types of sensing data acquired by the information acquisition unit.
  8. A road disaster response support system according to claim 1, The road disaster response support system is characterized by continuously improving the road clearing plan, the road clearing implementation plan, or the road clearing work by collecting data from the internet using a large-scale language model and learning about disaster countermeasures regardless of the type of language.
  9. A road disaster response support system according to claim 1, The aforementioned road disaster response support system includes a robotics unit that uses artificial intelligence analysis and robotics technology to enable disaster response robots to perform the road clearing work. A road disaster response support system characterized in that, based on the road clearing implementation plan, the robotics unit uses the analysis by artificial intelligence and the robotics technology to have the disaster response robot perform the road clearing work.
  10. A road disaster response support system according to claim 9, The road disaster response support system is characterized by a configuration that complements or modifies the road clearing implementation plan by the road clearing unit based on information acquired by the robotics unit.
  11. A road disaster response support system according to claim 1, The aforementioned road disaster response support system includes an improvement unit. The road disaster response support system is characterized in that the improvement unit has a function to improve the results of the analysis processing by the analysis unit and the results of the road clearing implementation plan formulation or updating processing by the road clearing unit through feedback learning.
  12. A road disaster response support system according to claim 11, The road disaster response support system is characterized in that the improvement unit comprises a configuration that selectively retrains a learning model based on the confidence score of either the judgment result based on the results of the analysis process or the judgment result based on the results of the process of formulating or updating the road clearing implementation plan.
  13. A road disaster response support system according to claim 1, The road disaster response support system is characterized in that the analysis unit has a configuration that switches evaluation criteria or judgment rules according to the type of disaster or the stage of disaster progression to perform analysis.
  14. A road disaster response support system according to claim 1 or claim 7, The aforementioned analysis unit is a road disaster response support system characterized by its configuration that integrates and analyzes past disaster history information and current sensing information to evaluate disaster response priorities.
  15. A road disaster response support system according to claim 1, The road clearing unit is characterized by having a function to form regional clusters based on regional characteristics (e.g., population density, topography, traffic infrastructure density, disaster history, etc.) and to optimize the road clearing implementation plan by applying different judgment criteria or processing parameters to each regional cluster.
  16. A road disaster response support system according to claim 1, The road disaster response support system includes an information provision unit for providing external information to a part or all of one or more of the following: the information obtained by the information acquisition unit, the analysis results obtained by the analysis unit, the road clearing implementation plan obtained by the road clearing unit, and information obtained by robotic equipment or robots. A road disaster response support system characterized by having a function to provide information to external parties through the aforementioned information provision unit.
  17. A road disaster response support system according to claim 1 or claim 16, The road disaster response support system is characterized by having a foreign language support configuration and a function to output part or all of the analysis results by the analysis unit or the road clearing implementation plan by the road clearing unit in multiple languages.
  18. A road management method related to road clearing using computers, The aforementioned computer, via the network, Obtain information regarding road disaster conditions, The acquired information is analyzed to generate analysis results, Register the pre-formulated road clearing plan, including the road clearing route, before the disaster occurs. If the road damage situation is determined to be severe due to an earthquake of magnitude 6 or higher, widespread wind and flood damage, widespread snow damage, or widespread landslide, Based on the registered road clearing plan and the generated analysis results, the road clearing route is determined. Based on the acquired information or the generated analysis results, the risk of subsurface cavities in the road opening route is evaluated. A road management method characterized by using the evaluation results to formulate or update a road clearing implementation plan that includes information on road clearing work for each road clearing target segment in the road clearing route.
  19. A road management method according to claim 18, The road management method is characterized in that the computer performs an evaluation of multiple candidate road clearing routes based on cost, time required, and safety, and performs a process to formulate or update the optimal road clearing implementation plan.
  20. A road management method according to claim 18, The computer evaluates the priority of relief activities based on multiple types of information, including past disaster history information, information on the current damage situation, information on the functionality of evacuation centers, information on the functionality of medical institutions, and information on the functionality of logistics centers. Based on the priority of the rescue operation, a process is executed to automatically generate the road clearing order for each segment of road to be cleared, A road management method characterized by performing a process to dynamically update the road clearing order in accordance with at least one of the following: weather, traffic disruptions, or aftershock risk.

Description

The present invention relates to technologies for road maintenance and road clearing during disasters, and more particularly to a road disaster response support system, related programs, and road management methods that, based on information acquired using multiple sensing means (such as satellite sensing, optical fiber sensing, and vehicle movement sensing), perform risk assessments and soundness assessments of road infrastructure during normal times, and in the event of a disaster, rapidly formulate road clearing implementation plans to ensure the passage of emergency vehicles, etc., by utilizing pre-formulated road clearing plans. Furthermore, the aim is to provide a flexible and advanced support system that functions effectively in both normal and disaster phases, by achieving both wide-area and continuous infrastructure monitoring, which was previously difficult, and rapid decision-making and planning support in the initial stages of a disaster. This system contributes to building a road management system with high disaster resilience by seamlessly supporting both the preventive maintenance phase and the disaster response phase. Traditional road infrastructure management systems typically focus on emergency response after incidents such as road collapses or subsidence occur, and there is a lack of a well-established system for comprehensively and continuously monitoring road hollowing risks and signs of deterioration during normal times. Furthermore, in the event of a disaster, rapid road clearing is required to ensure the passage of emergency vehicles such as ambulances, firefighters, and the Self-Defense Forces, but the information acquisition and decision-making processes necessary for formulating implementation plans are often dependent on individual expertise, and there is a lack of efficient and scientific support technologies. In recent years, advancements in sensing technologies such as artificial satellites, optical fibers, and connected cars have made wide-area road monitoring technically possible. However, there have been limited implementation examples of integrating these technologies for both infrastructure health assessment and disaster road clearing planning. Furthermore, survey methods such as ground-penetrating radar are point-based and intermittent, making continuous and area-based assessment impossible. Consequently, there have been limitations in detecting early signs of disaster risk and making immediate route decisions immediately after a disaster. On the other hand, in the event of a large-scale disaster, it is considered a crucial administrative task to implement "emergency recovery (road clearing)" prior to normal recovery procedures to ensure access to medical facilities, evacuation centers, and disaster relief bases. Road clearing, in this context, refers to the process of removing obstacles and making simple repairs immediately after a disaster to enable the passage of emergency vehicles as quickly as possible. To achieve this, a system is needed to accurately compare pre-formulated road clearing plans with actual information at the time of the disaster and quickly translate this into a road clearing implementation plan. However, conventional technologies lack the functionality to dynamically utilize road clearing plans. For example, they do not adequately implement processes such as updating plans to reflect damage conditions and traffic disruption information after a disaster, or optimizing the timing of implementation. Furthermore, the use of AI (artificial intelligence) technology to flexibly process information interpretation, weighting, and route optimization is insufficient, leading to increased decision-making burdens on the ground and delays in initial response. Furthermore, with the recent increase in inbound tourism, the risk of foreign tourists visiting Japan facing natural disasters such as earthquakes, typhoons, heavy rains, and volcanic eruptions has also increased. However, when a disaster strikes, foreign travelers have limited means to quickly and accurately obtain information on passability and evacuation routes. Language barriers and differences in information acquisition channels have led to delays and confusion in responses. Therefore, there is a need to develop a system that provides easy-to-understand and timely disaster-related transportation information to a diverse range of users, including inbound tourists. Japanese Patent Publication No. 2024-014948Japanese Patent Publication No. 2024-071243Japanese Patent Publication No. 2023-162007Japanese Patent Publication No. 2024-136347 This is a system configuration diagram relating to the road disaster response support system of the present invention.This is a flowchart illustrating an example of a patrol procedure.This is a flowchart illustrating an example of a fixed-point camera setup.This figure shows an example of a patrol situation.This figure shows an example of the status of fiber optic cable sur