Maintenance support device, system, method, and program

Abstract

The present invention makes it possible to provide users with useful information for bicycle lane maintenance. A camera (30) captures images of a road. A traffic status acquisition means (21) of a maintenance assistance device (20) acquires camera images from the camera (30). The traffic status acquisition means (21) acquires the bicycle traffic status from the camera images acquired from the camera (30). A determining means (22) determines the maintenance priority of the bicycle lanes on the basis of the bicycle traffic status acquired by the traffic status acquisition means (21), and the maintenance status of the bicycle lanes on the road.

Description

[Technical Field]

[0001] The present disclosure relates to maintenance assistance devices, systems, methods, and computer-readable media. [Background technology]

[0002] As a related technique, Patent Document 1 discloses a traffic situation survey system. The traffic situation survey system described in Patent Document 1 uses security cameras for traffic volume surveys. The traffic situation survey system acquires video data from multiple cameras installed in various locations and performs video recognition processing on the acquired video data. In the video recognition processing, the traffic situation survey system identifies people, bicycles, motorcycles, and automobiles and determines the direction in which they are moving, thereby counting traffic volume by direction.

[0003] The traffic situation survey system displays the results of traffic volume surveys on a display. For example, when a user selects a button showing pedestrian traffic volume, the traffic situation survey system displays the degree of pedestrian congestion on a map of the entire city or town in different colors. Also, when a user selects a button showing bicycle traffic volume, the traffic situation survey system displays the degree of bicycle congestion on a map of the entire city or town in different colors. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2005-215909 Summary of the Invention [Problem to be solved by the invention]

[0005] Patent Document 1 describes that traffic volume survey results can be used as data to guide urban planning guidelines in local governments. Specifically, Patent Document 1 describes that by comparing pedestrian traffic volume with vehicle traffic volume, it is possible to consider the need to install sidewalks on roads. However, Patent Document 1 does not disclose that traffic volume survey results can be used to develop bicycle paths.

[0006] In view of the above circumstances, the present disclosure aims to provide a maintenance assistance device, system, method, and computer-readable medium that can provide users with information useful for maintaining bicycle paths. [Means for solving the problem]

[0007] To achieve the above object, the present disclosure provides, as a first aspect, a maintenance assistance device that includes a traffic condition acquisition means for acquiring camera images of a road from a camera and acquiring bicycle traffic conditions from the acquired camera images, and a determination means for determining the maintenance priority of a bicycle lane based on the acquired bicycle traffic conditions and the maintenance status of the bicycle lane on the road.

[0008] In a second aspect, the present disclosure provides a maintenance assistance system. The maintenance assistance system includes one or more cameras that each capture images of a road, and a maintenance assistance device used to assist in the maintenance of a bicycle path. The maintenance assistance device includes traffic condition acquisition means that acquires camera images from the one or more cameras and acquires bicycle traffic conditions from the acquired camera images, and determination means that determines the maintenance priority of the bicycle path based on the acquired bicycle traffic conditions and the maintenance status of the bicycle path on the road.

[0009] In a third aspect, the present disclosure provides a maintenance support method that includes acquiring camera images from a camera that photographs a road, acquiring bicycle traffic conditions from the acquired camera images, and determining a maintenance priority for a bicycle lane on the road based on the acquired bicycle traffic conditions and the maintenance status of the bicycle lane.

[0010] In a fourth aspect, the present disclosure provides a computer-readable medium storing a program for causing a computer to execute a process including acquiring camera images from a camera that photographs a road, acquiring bicycle traffic conditions from the acquired camera images, and determining a bicycle lane development priority based on the acquired bicycle traffic conditions and the development status of bicycle lanes on the road. [Effects of the Invention]

[0011] The maintenance assistance device, system, method, and computer-readable medium according to the present disclosure can provide users with information useful for maintaining bicycle paths. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a block diagram showing a schematic configuration of a maintenance support system according to the present disclosure. [Figure 2] FIG. 1 is a block diagram illustrating a maintenance assistance system according to an embodiment of the present disclosure. [Figure 3] FIG. 2 is a block diagram showing an example of the configuration of a maintenance support device. [Figure 4] A schematic diagram showing the current state of bicycle path development. [Figure 5] 4 is a flowchart showing an operation procedure of the maintenance support device. [Figure 6] FIG. 1 is a block diagram showing an example of the configuration of a computer device. DETAILED DESCRIPTION OF THE INVENTION

[0013] Prior to describing embodiments of the present disclosure, an overview of the present disclosure will be described. FIG. 1 shows a schematic configuration of a maintenance assistance system according to the present disclosure. The maintenance assistance system 10 includes a maintenance assistance device 20 and one or more cameras 30. Each of the one or more cameras 30 photographs a road. The maintenance assistance device 20 is a device used to assist in the maintenance of bicycle paths on roads.

[0014] Maintenance assistance device 20 has traffic condition acquisition means 21 and determination means 22. Traffic condition acquisition means 21 acquires camera images from camera 30 and acquires bicycle traffic conditions on roads from the acquired camera images. Determination means 22 determines the maintenance priority of bicycle paths based on the acquired bicycle traffic conditions and the maintenance status of bicycle paths on the roads.

[0015] In the present disclosure, traffic condition acquisition means 21 acquires bicycle traffic conditions from camera footage. Determination means 22 uses the acquired traffic conditions to determine the development priority of bicycle lanes. In the present disclosure, determination means 22, for example, compares the acquired bicycle traffic conditions with the current development status of bicycle lanes to determine roads with a high priority for bicycle lane development. By referring to the results of this determination, users such as road managers can know where bicycle lanes should be developed as a priority. In this way, the present disclosure can provide users with information useful for developing bicycle lanes.

[0016] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. Note that the following description and drawings have been omitted and simplified as appropriate for clarity of explanation. In addition, in the following drawings, the same or similar elements are designated by the same reference numerals, and duplicate explanations are omitted as necessary.

[0017] FIG. 2 shows a maintenance assistance system according to one embodiment of the present disclosure. The maintenance assistance system 100 includes a maintenance assistance device 110 and one or more cameras 130. The maintenance assistance device 110 is connected to the one or more cameras 130 via a network 150. The network 150 includes, for example, a network using a communication line standard such as LTE (Long Term Evolution). The network 150 may also include a wireless communication network such as WiFi (registered trademark) or a fifth-generation mobile communication system. The maintenance assistance system 100 corresponds to the maintenance assistance system 10 shown in FIG. 1.

[0018] Each camera 130 captures an image of a road. The camera 130 is installed, for example, on road facilities such as traffic lights installed on the road. The camera 130 may be installed in a road side unit (RSU). Alternatively, the camera 130 may be mounted on a mobile object traveling on the road. The mobile object may include, for example, at least one of a car, a bus, a truck, and a tram. The mobile object may be configured to be capable of automatic driving (autonomous driving) based on information from a sensor mounted on the mobile object. The camera 130 corresponds to the camera 30 shown in FIG. 1.

[0019] The maintenance support device 110 is a device used to support the maintenance of bicycle paths. FIG. 3 shows an example configuration of the maintenance support device 110. The maintenance support device 110 has an image acquisition unit 111, a traffic condition acquisition unit 112, a judgment unit 113, a road information storage unit 114, and a recommended maintenance form determination unit 115. The maintenance support device 110 may be configured using, for example, a computer having a processor and memory. At least some of the functions of each unit in the maintenance support device 110 may be realized by the processor operating in accordance with a program read from the memory. The maintenance support device 110 corresponds to the maintenance support device 20 shown in FIG. 1.

[0020] The image acquisition unit 111 acquires camera images from the camera 130 (see FIG. 2). The traffic condition acquisition unit 112 acquires bicycle traffic conditions on roads from the acquired camera images. The image acquisition unit 111 acquires camera images from, for example, each of a plurality of cameras 130 installed at a plurality of locations. The traffic condition acquisition unit 112 acquires bicycle traffic conditions at each of the plurality of locations where the cameras 130 are installed. The traffic condition acquisition unit 112 may acquire bicycle traffic conditions, for example, by applying the camera images to an AI (Artificial Intelligence) model. The traffic condition acquisition unit 112 corresponds to the traffic condition acquisition means 21 shown in FIG. 1.

[0021] The traffic condition acquisition unit 112 acquires, for example, the volume of bicycle traffic on a road, bicycle behavior, or both, as bicycle traffic conditions. The traffic condition acquisition unit 112 may acquire bicycle behavior that leads to an accident as bicycle traffic conditions. Bicycle behavior that leads to an accident may include, for example, at least one of traffic violations such as swerving, running into the roadway, approaching pedestrians, and ignoring traffic lights. The traffic condition acquisition unit 112 may acquire traffic conditions of automobiles and pedestrians on the road in addition to bicycle traffic conditions. The traffic condition acquisition unit 112 may acquire, for example, a situation in which a bicycle and an automobile have come into contact or nearly come into contact with each other, as bicycle traffic conditions. Furthermore, the traffic condition acquisition unit 112 may acquire, for example, a situation in which a bicycle and a pedestrian have come into contact or nearly come into contact with each other, as bicycle traffic conditions.

[0022] The traffic condition acquisition unit 112 may acquire or estimate the bicycle usage pattern from camera images. The bicycle usage pattern may include, for example, commuting to work, school, and shopping. The traffic condition acquisition unit 112, for example, refers to map information to identify the locations of facilities such as stations and schools. For example, if there are many bicycles heading to nearby facilities such as stations or schools during commuting and school hours, the traffic condition acquisition unit 112 estimates that the usage pattern is commuting to work or school. Alternatively, if there are many bicycles heading to a nearby supermarket during a specific time period such as the evening, the traffic condition acquisition unit 112 estimates that the usage pattern is commuting to work or shopping.

[0023] The road information storage unit 114 stores information regarding the development status of bicycle lanes on roads. The development status of bicycle lanes includes whether they are developed as bicycle-only lanes, whether automobiles and bicycles are separated, and whether roadways and bicycle lanes are mixed. The road information storage unit 114 may store attribute information of roads. The attribute information includes information indicating the type of road, such as a main road, a community road, or a school route. For example, a user such as a road administrator may investigate the development status of bicycle lanes on roads, and store the results of the investigation in a database in the road information storage unit 114. The information stored in the road information storage unit 114 may be updated whenever a bicycle lane is developed.

[0024] The determination unit 113 determines the development priority of a bicycle lane based on the acquired bicycle traffic conditions and the development status of the bicycle lane on the road. For example, the determination unit 113 acquires the current development status of the bicycle lane on the road from the road information storage unit 114. The determination unit 113 determines the development priority of the bicycle lane according to the bicycle traffic conditions and the current development status of the bicycle lane on the road.

[0025] If the traffic condition acquisition unit 112 has acquired information on bicycle usage patterns, the determination unit 113 may determine the maintenance priority based on the acquired bicycle usage patterns. Alternatively or in addition, the determination unit 113 may determine the maintenance priority based on attribute information of roads, such as main roads, community roads, and school routes. If the traffic conditions of automobiles and pedestrians have been acquired, the determination unit 113 may determine the maintenance priority of a bicycle path based on the traffic conditions of automobiles and pedestrians. The determination unit 113 corresponds to the determination means 22 shown in FIG. 1.

[0026] The recommended maintenance form determination unit (recommended maintenance form determination means) 115 determines a recommended maintenance form for a bicycle path based on bicycle traffic conditions and the maintenance form of the bicycle path on the road. The recommended maintenance form determination unit 115 determines a recommended maintenance form from among multiple maintenance forms for bicycle paths, depending on bicycle traffic conditions and the current maintenance form of the bicycle path. The recommended maintenance form determination unit 115 determines, for example, a recommended maintenance form for a bicycle path between multiple intersections. The recommended maintenance form determination unit 115 recommends the recommended maintenance form of the bicycle path to a user, such as a road administrator.

[0027] FIG. 4 is a diagram that shows a schematic diagram of the development status of bicycle lanes. The grid lines in FIG. 4 represent roads, and FIG. 4 shows which sections of the roads have bicycle lanes. Roads include sections developed as bicycle lanes, sections with bicycle lanes, and sections where bicycles and automobiles coexist (mixed roads). Sections developed as bicycle lanes indicate sections where automobiles and bicycles are structurally separated, for example. Specifically, on bicycle lanes, the sections where automobiles travel and the sections where bicycles travel are separated by curbs or the like. Sections with bicycle lanes indicate sections where automobiles and bicycles are visually separated, for example by color-coding the pavement.

[0028] The determination unit 113 determines the development priority based on the bicycle traffic conditions at each location and the development status of the bicycle lane. For example, the determination unit 113 determines whether a bicycle lane has already been developed at each location. For locations where a bicycle lane has not been developed, the determination unit 113 determines whether a bicycle lane or a bicycle lane should be developed based on, for example, the traffic volume of automobiles and bicycles and dangerous bicycle behavior. If the determination unit 113 determines that a bicycle lane or a bicycle lane should be developed, it determines the development priority based on the degree of dangerous bicycle behavior. The development priority may be expressed as two values, for example, "high" and "low," or multiple levels of development priority may be expressed numerically. The determination unit 113 may determine the development priority based on whether the road is a school route or a main road. Alternatively, the determination unit 113 may determine the development priority by taking into account the traffic volume of automobiles. The development priority may be a relative evaluation within a specific area. For example, the maintenance priority may indicate the priority among a plurality of roads managed by a road administrator.

[0029] The recommended maintenance form determination unit 115 determines a recommended maintenance form for a bicycle path based on traffic conditions and the current maintenance status of the bicycle path. For example, in a location where there is heavy bicycle traffic or dangerous behavior is observed and automobile traffic and bicycle traffic are not separated, the recommended maintenance form determination unit 115 determines a maintenance form that recommends the construction of a bicycle path or bicycle lane. The recommended maintenance form determination unit 115 may determine a recommended maintenance form for a location where the maintenance priority is higher than a certain level.

[0030] If the bicycle usage pattern has been acquired, the recommended maintenance form determination unit 115 may determine the recommended maintenance form taking the usage pattern into consideration. For example, if the bicycle is frequently used for commuting to school, the recommended maintenance form determination unit 115 may calculate the route to the school or station and determine the recommended maintenance form for the bicycle path on the road along the route.

[0031] The recommended maintenance form determination unit 115 may determine not only recommended maintenance forms for bicycle paths but also proposed countermeasures for areas around intersections. For example, suppose the traffic condition acquisition unit 112 acquires traffic conditions indicating dangerous bicycle riding within an intersection. In this case, the recommended maintenance form determination unit 115 may determine a proposed countermeasure to recommend installing road markings indicating the need for a two-stage right turn near the intersection. Alternatively, if traffic conditions indicating abnormal closeness between automobiles and bicycles are acquired, the recommended maintenance form determination unit 115 may determine a proposed countermeasure to recommend installing road markings indicating the location and direction of bicycle travel. If a left-turn collision accident is predicted at an intersection, the recommended maintenance form determination unit 115 may determine a proposed countermeasure to position bicycles ahead of automobiles.

[0032] Next, the operation procedure will be explained. Figure 5 shows the operation procedure (maintenance support method) in the maintenance support device 110. The camera 130 photographs a road at a location such as an intersection. The image acquisition unit 111 acquires a camera image from the camera 130 (step S1). The traffic condition acquisition unit 112 acquires the bicycle traffic condition on the road from the acquired camera image (step S2). In step S2, the traffic condition acquisition unit 112 acquires, for example, the number of bicycles passing on the road and the behavior of the bicycles.

[0033] The determination unit 113 determines the development priority of the bicycle path based on the bicycle traffic conditions acquired in step S2 and the development status of the bicycle path stored in the road information storage unit 114 (step S3). In step S3, the determination unit 113 determines the development priority of the bicycle path, for example, based on the bicycle traffic conditions in a section between multiple intersections and the current development status of the bicycle path in that section. The determination unit 113 determines the development priority for each section (point), thereby identifying locations that require development with priority.

[0034] The recommended maintenance form determination unit 115 determines a recommended maintenance form for the bicycle path based on bicycle traffic conditions and the maintenance form of the bicycle path on the road (step S4). In step S4, the recommended maintenance form determination unit 115 may determine a recommended maintenance form for the bicycle path for sections determined to have a high maintenance priority. The recommended maintenance form determination unit 115 displays the recommended maintenance form for the bicycle path on the display screen of the display and presents the recommended maintenance form to a user such as a road administrator (step S5). In step S5, the recommended maintenance form determination unit 115 presents the recommended maintenance form to the user, for example, by displaying sections with a high maintenance priority and the recommended maintenance form on a map.

[0035] In this embodiment, the traffic condition acquisition unit 112 analyzes camera images from the camera 130 to acquire bicycle traffic conditions. The determination unit 113 determines the development priority of the bicycle path based on the bicycle traffic conditions and the development status of the bicycle path. The recommended development form determination unit 115 determines the development form of the bicycle path based on the bicycle traffic conditions and the development status of the bicycle path. In this embodiment, the user can refer to the determined development priority of the bicycle path to know which locations should be prioritized for development of the bicycle path. This makes it easier to develop bicycle paths within limited time and budget. Furthermore, the user can refer to the recommended development form of the bicycle path to know what development form the bicycle path should be in. Furthermore, when the recommended development form determination unit 115 determines a countermeasure, the user can know the countermeasure that allows bicycles to safely travel at locations such as intersections.

[0036] In the present disclosure, the maintenance assistance device 110 may be configured as a computer device (server device). Fig. 6 shows an example configuration of a computer device that may be used as the maintenance assistance device 110. The computer device 500 includes a control unit (CPU: Central Processing Unit) 510, a storage unit 520, a ROM (Read Only Memory) 530, a RAM (Random Access Memory) 540, a communication interface (IF: Interface) 550, and a user interface 560.

[0037] The communication interface 550 is an interface for connecting the computer device 500 to a communication network via wired communication means or wireless communication means, etc. The user interface 560 includes a display unit such as a display, and an input unit such as a keyboard, a mouse, and a touch panel.

[0038] The storage unit 520 is an auxiliary storage device that can store various types of data. The storage unit 520 does not necessarily have to be a part of the computer device 500, but may be an external storage device or a cloud storage connected to the computer device 500 via a network.

[0039] The ROM 530 is a non-volatile storage device. For example, a semiconductor storage device with a relatively small capacity, such as a flash memory, is used as the ROM 530. The programs executed by the CPU 510 may be stored in the storage unit 520 or the ROM 530. The storage unit 520 or the ROM 530 stores various programs for realizing the functions of each unit in the maintenance assistance device 110, for example.

[0040] The above program can be stored and provided to the computer device 500 using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic recording media such as flexible disks, magnetic tapes, or hard disks; magneto-optical recording media such as magneto-optical disks; optical disk media such as compact discs (CDs) or digital versatile disks (DVDs); and semiconductor memories such as mask ROMs, programmable ROMs (PROMs), erasable PROMs (EPROMs), flash ROMs, or RAMs. The program may also be provided to the computer using various types of temporary computer-readable media. Examples of temporary computer-readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable media can provide the program to the computer via a wired communication path such as an electric wire or optical fiber, or via a wireless communication path.

[0041] The RAM 540 is a volatile storage device. Various semiconductor memory devices such as a dynamic random access memory (DRAM) or a static random access memory (SRAM) are used for the RAM 540. The RAM 540 can be used as an internal buffer for temporarily storing data and the like. The CPU 510 loads a program stored in the storage unit 520 or the ROM 530 into the RAM 540 and executes it. The CPU 510 executes the program, thereby realizing the functions of each unit in the maintenance assistance device 110. The CPU 510 may have an internal buffer for temporarily storing data and the like.

[0042] Note that the information stored in the road information storage unit 114 does not necessarily have to be input by a person. For example, a computer may determine the maintenance status of a bicycle lane based on camera images and store the determination results in the road information storage unit 114. For example, the computer may acquire camera images of a road and determine whether the area where bicycles travel and the area where automobiles travel are separated by curbs or the like to determine the maintenance status of the bicycle lane. Alternatively, the computer may analyze the type of pavement on the road surface based on the camera images to determine the maintenance status of the bicycle lane. If the camera images include road signs indicating the maintenance status of the bicycle lane, the computer may determine the maintenance status of the bicycle lane based on information from the road signs.

[0043] The above describes the embodiments of the present disclosure in detail, but the present disclosure is not limited to the above-described embodiments, and changes and modifications to the above-described embodiments that do not deviate from the spirit of the present disclosure are also included in the present disclosure.

[0044] For example, some or all of the above embodiments can be described as, but are not limited to, the following supplementary notes.

[0045] [Appendix 1] a traffic condition acquisition means for acquiring camera images from a camera that photographs roads and acquiring bicycle traffic conditions from the acquired camera images; A maintenance assistance device comprising a determination means for determining the maintenance priority of a bicycle path based on the acquired bicycle traffic conditions and the maintenance status of the bicycle path on the road.

[0046] [Appendix 2] The maintenance assistance device according to claim 1, wherein the traffic condition acquisition means acquires at least one of the volume of bicycle traffic and behavior on the road as the bicycle traffic conditions.

[0047] [Appendix 3] 3. The maintenance assistance device according to claim 1, wherein the traffic condition acquisition means acquires bicycle behavior that leads to an accident as the bicycle traffic condition.

[0048] [Appendix 4] the traffic condition acquisition means further acquires traffic conditions of automobiles and pedestrians on the road; 4. The maintenance support device according to claim 1, wherein the determining means further determines the maintenance priority based on traffic conditions of the automobiles and pedestrians.

[0049] [Appendix 5] A maintenance assistance device as described in any one of appendix 1 to 4, further comprising a recommended maintenance form determination means for determining a recommended maintenance form for a bicycle path based on the bicycle traffic conditions and the maintenance form of the bicycle path on the road.

[0050] [Appendix 6] The maintenance support device described in Appendix 5, wherein the recommended maintenance form determination means determines a recommended maintenance form from among a number of maintenance forms, including a road developed as a bicycle-only road, a road where the bicycle path and the roadway are separated, and a road where the bicycle path and the roadway are mixed, based on the bicycle traffic conditions and the maintenance form of the bicycle path on the road.

[0051] [Appendix 7] the traffic condition acquisition means acquires the bicycle usage pattern from the camera image as the bicycle traffic condition; 7. The maintenance assistance device according to any one of claims 1 to 6, wherein the determination means determines the maintenance priority based on the acquired usage pattern of the bicycle.

[0052] [Appendix 8] 8. The maintenance support device according to claim 1, wherein the determination means further determines the maintenance priority based on attribute information of the road.

[0053] [Appendix 9] The traffic condition acquisition means acquires the camera images from each of a plurality of cameras installed at a plurality of locations, and acquires the traffic conditions of the bicycle at each of the plurality of locations.

[0054] [Appendix 10] 10. The maintenance support device according to any one of claims 1 to 9, wherein the traffic condition acquisition means acquires the camera images from at least one of a moving object traveling on the road and road equipment installed on the road.

[0055] [Appendix 11] one or more cameras, each capturing an image of a road; a maintenance support device used to support the maintenance of bicycle paths; The maintenance support device a traffic condition acquisition means for acquiring camera images from the one or more cameras and acquiring bicycle traffic conditions from the acquired camera images; A maintenance assistance system having a determination means for determining the maintenance priority of a bicycle path based on the acquired bicycle traffic conditions and the maintenance status of the bicycle path on the road.

[0056] [Appendix 12] The maintenance support system according to claim 11, wherein the traffic condition acquisition means acquires at least one of the volume of bicycle traffic and behavior on the road as the bicycle traffic conditions.

[0057] [Appendix 13] The maintenance support system described in Appendix 11 or 12, wherein the one or more cameras include at least one of a camera installed on a moving body traveling on the road and a camera installed on road equipment installed on the road.

[0058] [Appendix 14] Acquiring a camera image from a camera that photographs a road, and acquiring bicycle traffic conditions from the acquired camera image; A maintenance support method comprising determining the maintenance priority of bicycle paths based on the acquired bicycle traffic conditions and the maintenance status of bicycle paths on the road.

[0059] [Appendix 15] Acquiring a camera image from a camera that photographs a road, and acquiring bicycle traffic conditions from the acquired camera image; A non-transitory computer-readable medium storing a program for causing a computer to execute a process including determining the development priority of bicycle paths based on the acquired bicycle traffic conditions and the development status of bicycle paths on the road. [Explanation of symbols]

[0060] 10: Maintenance support system 20: Maintenance support device 21: Means of obtaining traffic conditions 22: Judgment means 30: Camera 100: Maintenance support system 110: Maintenance support device 111: Image acquisition unit 112: Traffic condition acquisition unit 113: Judgment section 114:Road information storage unit 115: Recommended maintenance form determination unit 130: Camera 150: Network 500: Computer equipment 510: Control unit 520: Storage section 530:ROM 540:RAM 550: Communication interface 560: User Interface

Claims

1. a traffic condition acquisition means for acquiring camera images from a camera that photographs a road and performing image analysis on the acquired camera images to acquire bicycle traffic conditions including at least one of the number of bicycles traveling on the road and their behavior; a determining means for determining the development priority of bicycle lanes based on the acquired bicycle traffic conditions and the development status of bicycle lanes on the road; The maintenance status includes a state where the road is maintained as a bicycle-only road, a state where automobiles and bicycles are separated, and a state where roads and bicycle paths are mixed.

2. 2. The maintenance assistance device according to claim 1, wherein the traffic condition acquisition means acquires bicycle behavior that leads to an accident as the bicycle traffic conditions.

3. the traffic condition acquisition means further acquires traffic conditions of automobiles and pedestrians on the road; 3. The maintenance support device according to claim 1, wherein the determining means determines the maintenance priority based on the traffic conditions of the automobiles and pedestrians.

4. 4. A maintenance assistance device as described in any one of claims 1 to 3, further comprising a recommended maintenance form determination means for determining a recommended maintenance form for the bicycle path based on the bicycle traffic conditions and the maintenance form of the bicycle path on the road, including bicycle-only paths and bicycle lanes.

5. 5. The maintenance assistance device of claim 4, wherein the recommended maintenance form determination means determines the recommended maintenance form from among a plurality of maintenance forms, including a road developed as a bicycle-only road, a road where the bicycle path and the roadway are separated, and a road where the bicycle path and the roadway are mixed, based on the bicycle traffic conditions and the maintenance form of the bicycle path on the road.

6. the traffic condition acquisition means acquires the bicycle usage pattern from the camera image as the bicycle traffic condition; 6. The maintenance assistance device according to claim 1, wherein the determining means determines the maintenance priority based on the acquired bicycle usage pattern.

7. Each of these has one or more cameras that capture images of the road, a maintenance support device used to support the maintenance of bicycle paths; The maintenance support device a traffic condition acquisition means for acquiring camera images from the one or more cameras and performing image analysis on the acquired camera images to acquire bicycle traffic conditions including at least one of the number of bicycles traveling on the road and their behavior; a determining means for determining the development priority of bicycle lanes based on the acquired bicycle traffic conditions and the development status of bicycle lanes on the road; The maintenance status includes a state where the road is maintained as a bicycle-only road, a state where automobiles and bicycles are separated, and a state where roads and bicycle paths are mixed.

8. A computer comprising: Acquiring camera images from a camera that photographs a road, and performing image analysis on the acquired camera images to acquire bicycle traffic conditions including at least one of the number of bicycles traveling on the road and their behavior; determining a priority for developing bicycle lanes based on the acquired bicycle traffic conditions and the development status of bicycle lanes on the road; The maintenance status includes a state where the road is maintained as a bicycle-only road, a state where automobiles and bicycles are separated, and a state where roads and bicycle paths are mixed.

9. Acquiring camera images from a camera that photographs a road, and performing image analysis on the acquired camera images to acquire bicycle traffic conditions including at least one of the number of bicycles traveling on the road and their behavior; determining a priority for developing bicycle lanes based on the acquired bicycle traffic conditions and the development status of bicycle lanes on the road; The program causes a computer to execute processing in which the development status includes a situation where the road is developed as a bicycle-only road, a situation where automobiles and bicycles are separated, and a situation where roads and bicycle paths are mixed.

Images