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JP-7856105-B2 - Route search device, route search system, route search method, and program

JP7856105B2JP 7856105 B2JP7856105 B2JP 7856105B2JP-7856105-B2

Inventors

  • 菅原 千里
  • 木村 洋介
  • 十文字 奈々
  • 石井 孝和
  • 橋爪 大輔
  • 平田 寛道
  • 大野 翔平

Assignees

  • 日本電気株式会社

Dates

Publication Date
20260511
Application Date
20210826

Claims (9)

  1. A traffic information generation means generates road traffic information using road-related sensor information acquired by a sensor information acquisition device, A means for identifying the extent of a disaster, which uses changes in the ground surface obtained based on the measurement results of a ground surface measuring device to identify the extent of the disaster, The system includes a route search means that searches for a route to a predetermined point using the disaster area and the traffic information, The aforementioned sensor information acquisition device is a device mounted on a vehicle traveling on a road. The aforementioned sensor information is an image of the road after the disaster occurred. The aforementioned surface measurement device is a synthetic aperture radar mounted on an artificial satellite. The disaster area identification means acquires an image of the area to be searched for along the path from the synthetic aperture radar as a measurement result, analyzes the ground surface changes using the acquired image, identifies the disaster area using the analyzed ground surface changes, and further, Includes disaster area prediction means that predicts the extent of a disaster at a predetermined point in time using the history of ground surface changes, The disaster extent prediction means acquires information related to road restoration work from a predetermined device, predicts the timing of road restoration using the acquired information related to restoration work, and predicts the disaster extent at the predetermined time based on the predicted restoration timing. The route search means searches for the route at the predetermined time using the predicted disaster area. Route search device.
  2. The route search device according to claim 1, wherein the route search means searches for a recommended route as the route.
  3. The route search device according to claim 2, wherein the recommended route is the route that is included in the passable area included in the traffic information and is not included in the disaster area.
  4. The route search device according to any one of claims 1 to 3, wherein the traffic information generation means determines road congestion using the sensor information and generates traffic information based on the determined congestion.
  5. The route search device according to any one of claims 1 to 4, wherein the route search means searches for the route based on the passability included in the traffic information and at least one of the possibility of disaster and the degree of risk included in the disaster area.
  6. A pathfinding device according to any one of claims 1 to 5 , A route search system comprising the route search device and the sensor information acquisition device that outputs the sensor information.
  7. Using the sensor information related to the road acquired by the sensor information acquisition device, road traffic information is generated. The extent of the disaster is identified using the ground surface changes obtained based on the measurement results from the ground surface measurement device. Using the aforementioned disaster area and traffic information, a route to a predetermined point is searched. The aforementioned sensor information acquisition device is a device mounted on a vehicle traveling on a road. The aforementioned sensor information is an image of the road after the disaster occurred. The aforementioned surface measurement device is a synthetic aperture radar mounted on an artificial satellite. In identifying the disaster area, the measurement results include obtaining an image of the area to be searched for along the path from the synthetic aperture radar, analyzing the ground surface changes using the obtained image, identifying the disaster area using the analyzed ground surface changes, and further, Using the aforementioned history of ground surface changes, the extent of the disaster at a predetermined time is predicted, and further, information related to road restoration work is obtained from a predetermined device, the timing of road restoration is predicted using the obtained information related to restoration work, and the extent of the disaster at the predetermined time is predicted based on the predicted restoration timing. Using the predicted disaster area, the route at the predetermined time is searched. Route search method.
  8. The route search device performs the route search method described in claim 7 , The sensor information acquisition device outputs the sensor information to the path search device. Route search method.
  9. The process involves generating road traffic information using road-related sensor information acquired by a sensor information acquisition device. A process to identify the extent of the disaster using changes in the ground surface obtained based on the measurement results of the ground surface measurement device, Using the aforementioned disaster area and the aforementioned traffic information, the computer is instructed to perform a process to search for a route to a predetermined point. The aforementioned sensor information acquisition device is a device mounted on a vehicle traveling on a road. The aforementioned sensor information is an image of the road after the disaster occurred. The aforementioned surface measurement device is a synthetic aperture radar mounted on an artificial satellite. The process for identifying the disaster area involves obtaining an image of the area to be searched for along the path from the synthetic aperture radar as a measurement result, analyzing the ground surface changes using the obtained image, and identifying the disaster area using the analyzed ground surface changes, and further, This process includes predicting the extent of a disaster at a predetermined point in time using the aforementioned history of surface changes. The process for predicting the extent of the disaster involves obtaining information related to road restoration work from a predetermined device, predicting the timing of road restoration using the obtained information related to restoration work, and predicting the extent of the disaster at the predetermined time based on the predicted restoration timing. The process of searching for the aforementioned path is a process of searching for the aforementioned path at a predetermined time using the predicted disaster area. program.

Description

This invention relates to routes, and more particularly to routes during disasters. In the event of a disaster, an investigation of the damage is conducted. For example, Patent Document 1 describes technology related to the investigation of damage. The disaster response support method described in Patent Document 1 uses synthetic aperture radar mounted on an artificial satellite to grasp the damage. In addition, routes are searched using images acquired from vehicles. For example, Patent Document 2 describes technology related to route searching. The route search device described in Patent Document 2 uses images acquired from a vehicle to determine the condition of the road and searches for a route using the results of the determination. International Publication No. 2008/016153Japanese Patent Publication No. 2020-094959 This block diagram shows an example of the configuration of a route search system according to the first embodiment.This is a conceptual diagram showing an example of the configuration of a route search system according to the first embodiment.This is a diagram showing the departure and destination points used in the explanation.This figure shows an example of a route during a disaster.This is a flowchart showing an example of the operation of a pathfinding device according to the first embodiment.This is a diagram showing an example of the hardware configuration of a pathfinding device.This block shows an example of the configuration of a route search system according to the second embodiment.This diagram illustrates the route searched by the route search unit based on the predicted extent of the disaster.This is a flowchart showing an example of the operation of a route search device according to the second embodiment.This block shows an example of the configuration of a pathfinding device according to the third embodiment.This is a block diagram showing an example of the configuration of a route search system according to the fourth embodiment. Next, embodiments of the present invention will be described with reference to the drawings. However, the embodiments of the present invention are not limited to those shown in the drawings. Furthermore, the embodiments can be combined as appropriate. <Terminology> A "sensor information acquisition device" is a device equipped with a predetermined sensor that acquires sensor information related to a structure and its surroundings. For example, the structure may include at least one of the following: a road, a bridge, a slope, a dike, a pier, a revetment, and a runway. Sensor information will be explained later. The sensor information acquisition device may be a device mounted on or towed by a moving object, or it may be a fixed device. For example, the moving object may be a vehicle, an unmanned aerial vehicle (drone), or a person. A moving device may be, for example, a dashcam. A fixed device may be, for example, a fixed camera. A fixed camera used as a sensor information acquisition device is not limited to a camera with a fixed shooting direction, but may also be a camera whose shooting direction and shooting position can be changed within a certain range. "Sensor information" refers to information acquired using a predetermined sensor to determine the condition of a structure and its surroundings. For example, the sensor may include a camera, speedometer, accelerometer, angle meter, or distance meter. The acquired information may include, for example, images, speed, acceleration, angle, or distance. For example, the sensor information may be images or measured acceleration captured by a drive recorder mounted on a vehicle traveling on a structure such as a road or bridge. Alternatively, if the sensor is a LIDAR (Light Detection and Ranging) sensor, the sensor information may be distance information. The sensor information may include multiple pieces of information. These multiple pieces of information may include, for example, an image and acceleration, or multiple images such as a video. However, the sensor information is not limited to images, speed, acceleration, and distance; it may be any information that can be used for route searching. In other words, the sensor is not limited to a camera, speedometer, accelerometer, angle meter, or distance meter. Furthermore, sensor information may include information different from the information acquired by the sensor. For example, sensor information may include information related to the acquisition of sensor information. Information related to the acquisition of sensor information may include, for example, the acquisition time or the acquisition location. Hereinafter, information related to the acquisition of sensor information will be referred to as "acquisition-related information." Alternatively, sensor information may include information related to the sensor information acquisition device or information related to the sensor. Information related to the sensor information acquisition device m