Information processing apparatus, information processing system, information processing method, and computer program

Abstract

To reduce the number of devices required for a traffic infrastructure while maintaining the traffic infrastructure.SOLUTION: An information processing device of the present disclosure includes a control unit configured to receive provision of data obtained by sensing a state of a road, in which the control unit executes notification processing of outputting an abnormality notification to an output unit in at least one of a case where the provision of the data is interrupted for a predetermined time or more and a case where there is an abnormality in the data.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing system, an information processing method, and a computer program. [Background technology]

[0002] There are known techniques for measuring traffic information using cameras or sensors. For example, Patent Document 1 discloses a traffic flow measurement device that determines traffic parameters such as the speed and number of passing vehicles at a specific point on a road based on a video signal obtained by capturing an image of the road with a television camera.

[0003] Patent Document 2 discloses an ultrasonic vehicle detector that uses ultrasonic waves to detect each vehicle passing directly below, and a loop coil vehicle detector that detects each vehicle by changes in inductance. Based on the detection signals measured by the vehicle detectors, the central device in Patent Document 2 calculates the traffic volume and the average speed of passing vehicles.

[0004] Non-Patent Document 1 discloses a technology relating to an optical beacon that performs two-way communication with a vehicle (on-board device) using near-infrared rays as a medium. The optical beacon can detect the presence of a vehicle by utilizing the reflection of near-infrared rays.

[0005] Furthermore, technology for monitoring roads using cameras is known. For example, Non-Patent Document 2 discloses a traffic flow monitoring camera installed every kilometer on a highway. The traffic flow monitoring camera is capable of rotating (panning, etc.) and zooming in, and is used to check for accidents and other road conditions. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Application Publication No. 58-192200 [Patent Document 2] Japanese Patent Application Laid-Open No. 2016-133942 [Non-patent literature]

[0007] [Non-Patent Document 1] “Detectors | ITS Infrastructure | Products & Services | Sumitomo Electric System Solutions Co., Ltd.”, [online], Sumitomo Electric System Solutions Co., Ltd., [Retrieved July 3, 2024], Internet,<URL:https: / / www.seiss.co.jp / products / its / sensor / > [Non-patent document 2] “Hanshin Expressway Traffic Control System Q&A”, [online], Hanshin Expressway Co., Ltd., [Retrieved June 12, 2024], Internet,<URL:https: / / www.hanshin-exp.co.jp / drivers / douro / traffic_control / files / leaflet.pdf> Summary of the Invention [Problem to be solved by the invention]

[0008] In the past, when collecting traffic information, measurement devices (measurement cameras or vehicle detectors) were installed to measure traffic information as described above, and monitoring cameras were also installed to monitor roads.

[0009] Due to various factors, such as labor shortages and the aging of existing infrastructure, there is an urgent need to reduce the number of parts required for infrastructure and maintenance costs. Transportation infrastructure is no exception, and there is a need to reduce the number of devices used to collect traffic information, for example.

[0010] In view of such problems, the present disclosure aims to reduce the number of devices required for transportation infrastructure while maintaining the infrastructure. [Means for solving the problem]

[0011] An information processing device according to one example of the present disclosure is an information processing device that includes a control unit that receives data that senses the condition of a road, and the control unit executes a notification process that outputs an abnormality notification to an output unit when the data provision is interrupted for at least a predetermined period of time or when there is an abnormality in the data.

[0012] The embodiments of the present disclosure may be realized by an apparatus, a system, a method, an integrated circuit, a computer program, or a computer-readable non-transitory recording medium, or any combination thereof. The recording medium may be either volatile or non-volatile. The apparatus may be composed of multiple individual devices. When composed of multiple individual devices, they may be arranged in a single housing or separated into two or more housings. [Effects of the Invention]

[0013] According to the present disclosure, it is possible to reduce the number of devices required for the transportation infrastructure while maintaining the transportation infrastructure. [Brief explanation of the drawings]

[0014] [Figure 1] FIG. 1 is a block diagram schematically showing the functional configuration of an information processing system according to an embodiment. [Figure 2] FIG. 2 is a schematic diagram illustrating video data in the first state. [Figure 3] FIG. 3 is a schematic diagram illustrating video data in the second state. [Figure 4] FIG. 4 is a block diagram schematically illustrating a hardware configuration of the information processing device. [Figure 5] FIG. 5 is a flowchart showing an example of an information processing method. [Figure 6] FIG. 6 is an explanatory diagram illustrating a schematic example of the sensed information. [Figure 7] FIG. 7 is a schematic diagram illustrating a display screen displayed on the output unit. [Figure 8]FIG. 8 is a schematic diagram illustrating a display screen on which an abnormality notification is displayed. [Figure 9] FIG. 9 is a block diagram schematically showing the functional configuration of an information processing system according to a modified example. [Figure 10] FIG. 10 is a block diagram schematically showing the functional configuration of an information processing system according to a modified example. [Figure 11] FIG. 11 is a block diagram schematically showing the functional configuration of an information processing system according to a modified example. [Figure 12] FIG. 12 is a block diagram schematically showing the functional configuration of an information processing system according to a modified example. [Figure 13] FIG. 13 is a block diagram schematically showing the functional configuration of an information processing system according to a modified example. [Figure 14] FIG. 14 is a functional block diagram showing a conventional example of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0015] <Summary of Embodiments of the Present Disclosure> The following provides an outline of embodiments of the present disclosure.

[0016] (1) An information processing device according to an example of the present disclosure includes a control unit that receives data that senses road conditions, and the control unit executes a notification process that outputs an abnormality notification to an output unit when the data is not provided for a predetermined period of time or when there is an abnormality in the data.

[0017] The information processing system notifies the user if there is an abnormality in the data. Because it has this abnormality notification function, data that was not previously used for measuring traffic information can be used, and for example, existing equipment can be used for measurement purposes as well. This allows the number of devices required for the transportation infrastructure to be reduced while maintaining its usefulness.

[0018] (2) In the information processing device of (1) above, the data is data used for measuring traffic information of the road and for purposes other than the measurement purpose.

[0019] In this way, data that has not previously been used to measure traffic information can be used, while also continuing to be used for conventional purposes, so that, for example, existing equipment can be used for measurement purposes as well.

[0020] (3) In the information processing device of (1) or (2) above, the data is video data provided from a camera that can operate in a first state in which the target area of ​​the road is captured within a predetermined range of the data, and a second state other than the first state, and the control unit may execute the notification process when the video data is data captured in the second state.

[0021] With this configuration, the system constantly detects roads based on video data of the target area, while monitoring areas outside the target area as needed, and if the imaging range deviates from the target area during monitoring, the system notifies the user of an abnormality. This allows the use of detection cameras and monitoring cameras in combination, making it possible to reduce the number of devices required for transportation infrastructure while maintaining it.

[0022] (4) In the information processing device of (3) above, the control unit may output a command to operate the camera in the first state when, after the notification process, a predetermined operation is received from the user via the input unit, or when no operation is performed via the input unit for a predetermined period of time or longer.

[0023] By configuring in this way, it is possible to prevent a state in which the road cannot be detected accurately from continuing.

[0024] (5) In the information processing device of (3) or (4) above, the control unit may perform an output process of outputting the video data to the output unit via another device or directly, and a conversion process of converting the video data into sensory information used to measure traffic information.

[0025] By configuring it in this way, the video data can be used for both monitoring and measurement purposes, and by consolidating the traffic information collection functions that were previously performed by separate devices, namely a measurement device and a monitoring camera, into a single camera, the number of devices used to collect traffic information can be reduced.

[0026] (6) In the information processing device of (5) above, the control unit may measure the traffic information based on the sensing information, calculate control parameters for controlling traffic signals installed on the road based on the traffic information, and output the control parameters to a control device for the traffic signal when the notification process is not being executed, and output an alternative parameter for the control parameter to the control device when the notification process is being executed.

[0027] This allows the control device to receive parameters without interruption even if the sensing information is interrupted, and allows the control device to continuously control the traffic signal.

[0028] (7) In the information processing device of (1) or (2) above, the data may be probe information collected by a vehicle traveling on the road.

[0029] Information gathering, which was previously done using sensors, can now be left to vehicles traveling on the road, reducing the number of sensors installed on roads. Furthermore, even if data provision from a vehicle or other device is interrupted, users can be notified of the abnormality, allowing them to become aware of the abnormality. This allows the number of devices required for transportation infrastructure to be reduced while maintaining its operation.

[0030] (8) An information processing device according to an example of the present disclosure includes a control unit that executes an output process and a conversion process, wherein the output process is a process of outputting data provided from a camera that can operate in a first state that captures a target area of ​​a road within a predetermined range and a second state other than the first state to the output unit via another device or directly, and the conversion process is a process of converting the data into sensory information used to measure traffic information.

[0031] By configuring it in this way, the traffic information collection function, which was previously performed by separate devices such as a measuring device and a monitoring camera, can be combined into a single device, thereby reducing the number of devices used to collect traffic information.

[0032] (9) An information processing system according to an example of the present disclosure includes the information processing device described above in (1) to (8) and a providing device that provides the data to the information processing device.

[0033] The system according to the present disclosure includes the information processing devices (1) to (8) above, and therefore has the same effects as the information processing devices (1) to (8) above.

[0034] (10) The method according to the present disclosure is an information processing method performed by the information processing device described above in (1) to (8). Therefore, the information processing method according to the present disclosure has the same effects as the information processing device described above in (1) to (8).

[0035] (11) A computer program according to the present disclosure is a computer program for causing a computer to function as the information processing device described above in (1) to (8). Therefore, the computer program according to the present disclosure has the same effects as the information processing device described above in (1) to (8).

[0036] <Details of the embodiment of the present disclosure> Hereinafter, details of embodiments of the present disclosure will be described with reference to the drawings. Note that at least some of the embodiments described below may be combined in any manner.

[0037] [Configuration example of information processing system 1] 1 is a block diagram schematically illustrating the functional configuration of an information processing system 1 according to an embodiment. The information processing system 1 is used by, for example, a user who manages a road 61 itself or a user who manages traffic on the road 61. The user is, for example, a road administrator, a highway company, or a traffic control center of each local government.

[0038] [Outline of Information Processing System 1] First, an overview of the information processing system 1 will be described. The information processing system 1 according to the embodiment is a system for collecting traffic information on a road 61 (i.e., a roadway) on which a vehicle 51 travels. In the information processing system 1, the traffic information collection function, which has conventionally been configured using separate devices, namely a measurement device and a monitoring camera, is integrated into a single providing device 30, thereby making it possible to reduce the number of devices used to collect traffic information.

[0039] The providing device 30 captures an image of a target area 62 of a road 61 and provides the acquired video data D1 to the information processing device 10. The information processing device 10 displays the video data D1 on the output unit 25, thereby enabling the user to monitor the road 61, and acquires sensory information D2 for measuring traffic information D3 such as traffic volume based on the video data D1. Here, in order to acquire the sensory information D2, the providing device 30 needs to capture an image of the target area 62. However, the providing device 30 is also used for monitoring purposes, and may capture an image of an area other than the target area 62 by rotating and zooming in order to grasp the road conditions.

[0040] In this case, the information processing device 10 cannot acquire accurate sensory information D2, and therefore notifies the user of an abnormality that the target area 62 is not being captured. Based on this notification, the user performs a user operation (or leaves the device untouched for a predetermined period of time), and the providing device 30 returns to a state in which it captures the target area 62. In this way, the information processing system 1 constantly acquires sensory information D2 based on the video data D1 of the target area 62, while monitoring areas other than the target area 62 as needed, and notifies the user of an abnormality if the imaging range deviates from the target area 62 during this monitoring. This makes it possible to reduce the number of devices required for the transportation infrastructure while maintaining the transportation infrastructure.

[0041] [Regarding conventional examples] FIG. 14 is a functional block diagram showing a conventional example of the present disclosure. First, for comparison, a conventional example will be described. The conventional information processing system 9 includes an information processing device 90 that collects traffic information, a camera 31 that captures an image of a road 61 and provides the image data to the information processing device 90, a drive unit 32 that rotates and zooms the camera 31, a sensor 36 that detects a vehicle 51 passing through a target area 62 on the road 61 and provides the detected information to the information processing device 90, and a traffic signal control unit 41 that controls signal control parameters of a traffic signal 42 based on an output from the information processing device 90.

[0042] The information processing device 90 communicates with the camera 31, the driving unit 32, the detector 36, and the traffic signal control unit 41 via a public communication network N1 such as the Internet. The information processing device 90 includes a monitoring unit 91 and a measuring unit 92. These units 91 and 92 are independent and do not share information with each other.

[0043] The monitoring unit 91 outputs the video data provided by the camera 31 to the output unit 95, and controls the driving unit 32 in response to the user's operation of the input unit 96. This allows the user to check the video data captured by the camera 31 on the output unit 95, and change the angle of view of the camera 31 by the driving unit 32 as needed to monitor the situation of the road 61 from a different angle.

[0044] The measurement unit 92 measures traffic information such as traffic volume based on the detection information provided by the detector 36. The measurement unit 92 calculates signal control parameters based on the measured traffic information and transmits the signal control parameters to the traffic signal control unit 41.

[0045] As described above, in the conventional information processing system 9, the monitoring device (camera 31) and the measuring device (sensor 36) are separate devices, so that in order to collect traffic information on the road 61, it was necessary to install a large number of devices on the road 61. If the number of devices on the road 61 increases, the cost of the devices required for the traffic infrastructure may increase accordingly.

[0046] Furthermore, since the information processing device 90 is a central control device installed in a traffic control center or the like, workers only need to go to one location, the traffic control center, to maintain and inspect this device 90, whereas if the number of devices on the road 61 side increases, workers will need to go to each point on the road 61 accordingly, which tends to increase the burden of maintenance and inspection, such as the travel costs of the workers. For this reason, in order to reduce costs for transportation infrastructure, it is preferable to reduce the number of devices on the road 61 side, even if this makes the device configuration on the information processing device 90 side somewhat more complex.

[0047] [Details of Information Processing System 1] Referring to Fig. 1, the information processing system 1 includes an information processing device 10, a providing device 30, and a traffic signal control unit 41. The information processing device 10 communicates with the providing device 30 and the traffic signal control unit 41 via a public communication network N1.

[0048] The information processing device 10 is installed, for example, in a user's facility. The information processing device 10 is, for example, a single personal computer (PC) or a server computer. The information processing device 10 may be configured with multiple computers. In this case, these multiple computers may be installed in the same facility, or may be scattered across multiple locations that are geographically separated. When the information processing device 10 is configured with multiple computers, these computers cooperate via a network such as a public communication network N1 to realize the functions of a single information processing device 10.

[0049] The providing device 30 provides data D sensed on the state of the road 61 to the information processing device 10 via the public communication network N1. In the example of FIG. 1, the data D is data used for measuring traffic information on the road 61 and for purposes other than the measurement purpose. Specifically, the data D is video data D1 captured of the road 61, and is used for measuring traffic information and monitoring the road 61. Although FIG. 1 shows one providing device 30, in reality the information processing system 1 includes multiple providing devices 30. The multiple providing devices 30 are installed at multiple points on the road 61, respectively. Then, the multiple data D sensed at these points are aggregated in the information processing device 10.

[0050] The providing device 30 has a camera 31 and a driving unit 32 that drives the camera 31. The camera 31 is, for example, an optical camera, and generates video data D1 based on visible light incident on the camera 31. The camera 31 may also be an infrared camera that irradiates itself with infrared light and generates video data D1 based on the reflected light.

[0051] The camera 31 is installed in a location (for example, a roadside pole) from which it can overlook the road 61, and transmits video data D1 obtained by capturing an image of the road 61 to the information processing device 10 via the public communication network N1 as needed. The video data D1 may be data in the form of a moving image or a still image. The video data D1 includes, for example, an image of the road 61, the time of capturing the image, and information related to the rotation angle and zoom magnification of the camera 31.

[0052] The driving unit 32 is an actuator that causes the camera 31 to perform rotational and zooming operations. The driving unit 32 causes the camera 31 to perform rotational operations such as panning (moving the angle of view left and right) and tilting (moving the angle of view up and down), and zooming operations such as zooming in (enlarging the subject) and zooming out (reducing the subject). The zooming operation is, for example, optical zooming, in which the driving unit 32 drives a zoom lens to change the focal length of the camera 31.

[0053] The driving unit 32 can operate the camera 31 in a first state in which the camera 31 is positioned at a reference rotation angle and lens position (hereinafter referred to as "initial position"), and in a second state other than the first state.

[0054] 2 is a schematic diagram illustrating video data D1 in a first state. In the first state, camera 31 captures a target area 62 of a road 61 within a predetermined range A1 of video data D1. The predetermined range A1 is a fixed range set in advance in video data D1, such as a predetermined coordinate range. In video data D1 acquired by camera 31 positioned at an initial position, the entire target area 62 is included in the predetermined range A1. Note that even if the orientation of camera 31 is slightly displaced from the initial position due to vibration or the like, the state in which the entire target area 62 is still included in the predetermined range A1 is referred to as the "first state."

[0055] The target area 62 is an area of ​​the road 61 that is the target of measuring traffic information D3. In the example of Fig. 2, the target area 62 is set to one lane of the road 61. In this case, the video data D1 is used not only to monitor the road 61 but also to measure traffic information D3 related to vehicles 51 traveling on this lane.

[0056] 3 is a schematic diagram illustrating video data D1 in the second state. In order to monitor the condition of road 61, the user may issue an operation command from information processing device 10 to operate camera 31 via drive unit 32. For example, if a traffic accident occurs and vehicle 51 runs onto a sidewalk beside road 61, the user may rotate camera 31 to capture the side of road 61 or zoom camera 31 to capture a close-up image of the accident vehicle.

[0057] In this case, at least a part of the target area 62 may fall outside the predetermined range A1 in the video data D1. In FIG. 3, the camera 31 rotates to the right, causing the predetermined range A1 to shift rightward from the target area 62 and capture an area near the center of the road 61. In this state, even if traffic information D3 is calculated based on the predetermined range A1, it is not possible to accurately obtain traffic information D3 for the target area 62. For this reason, in order to obtain traffic information D3 for the target area 62 based on the video data D1, the camera 31 must be set to the first state.

[0058] The traffic signal control unit 41 is a control device that controls the traffic signals 42 installed on the road 61 based on control parameters D4. The control parameters D4 include various parameters for signal control (e.g., cycle length, green time, offset).

[0059] The information processing device 10 has, as its functional configuration, a monitoring unit 21, a measuring unit 22, a converting unit 23, a communicating unit 24, an output unit 25, and an input unit 26. Each of these functions 21 to 26 will be described later.

[0060] Fig. 4 is a block diagram showing a schematic hardware configuration of information processing device 10. In the example of Fig. 4, each of the functions 21 to 26 shown in Fig. 1 is realized by one computer. However, each of the functions 21 to 26 shown in Fig. 1 may be shared among a plurality of computers functioning as information processing device 10. For example, a first computer may function as monitoring unit 21, a second computer may function as measurement unit 22, and a third computer may function as conversion unit 23.

[0061] The information processing device 10 includes a control unit 11, a storage unit 12, a reading unit 13, a communication unit 14, an output unit 15, and an input unit 16. These units are electrically connected by a bus B1.

[0062] The control unit 11 is an arithmetic processing unit that controls the operation of each of the hardware units 12 to 16. The control unit 11 includes a CPU (Central Processing Unit) and a main memory. The main memory of the control unit 11 is a volatile memory, such as a RAM (Random Access Memory). The CPU of the control unit 11 reads a computer program P1 installed in the storage unit 12 into the main memory, and performs various information processing in accordance with the read computer program P1.

[0063] The storage unit 12 is an auxiliary storage device including a nonvolatile memory such as a hard disk drive (HDD) and a solid state drive (SSD). The storage unit 12 may include a flash read only memory (ROM), a universal serial bus (USB) memory, or an SD card. The storage unit 12 stores the computer program P1 and various parameters in the nonvolatile memory.

[0064] The reading unit 13 is a reading device that reads information from a recording medium M1 such as an optical disk. The reading unit 13 reads the recording medium M1 on which the computer program P1 and various parameters are recorded, and the information is stored in the storage unit 12. Note that the computer program P1 and various parameters may be stored in the storage unit 12 by being downloaded from another computer via the public communication network N1.

[0065] The communication unit 14 is a communication interface that communicates with external devices via the public communication network N1. The communication unit 14 includes a line termination device (for example, a modem or an ONU (Optical Network Unit)), a router, a hub, and a communication card (for example, a LAN card).

[0066] The output unit 15 is a screen display device such as a liquid crystal monitor or an organic EL (Electro Luminescence) panel. The output unit 15 displays various GUI (Graphical User Interface) screens in accordance with operation commands from the control unit 11. The output unit 15 may also include an audio output device such as a speaker. In this case, the output unit 15 outputs various sounds in accordance with operation commands from the control unit 11.

[0067] The input unit 16 is an input device including a keyboard and a pointing device such as a mouse. A user can input a predetermined command to the control unit 11 by performing a predetermined operation on the input unit 16. The output unit 15 and the input unit 16 may be integrated into one unit, for example, like a touch panel.

[0068] [Information processing method] Next, we will explain the information processing method executed by the information processing system 1. Specifically, the control unit 11 reads out a computer program P1 from the storage unit 12, and the control unit 11 executes various information processes in accordance with the computer program P1, thereby realizing the following series of information processing methods.

[0069] Note that, although the following describes an example of a method in which one control unit 11 realizes each function of the information processing device 10, when multiple computers share the functions shown in Fig. 1 as described above, the control units 11 included in each computer may realize each function individually. Below, the functions executed by the control unit 11 will be described as the operation of each functional configuration in Fig. 1.

[0070] Fig. 5 is a flowchart showing an example of an information processing method executed by the information processing system 1. In the flowchart of Fig. 5, the order of the steps may be changed as long as there is no contradiction between the steps.

[0071] First, the camera 31 captures an image of the road 61 and transmits the image data D1 to the information processing device 10 via the public communication network N1. Upon receiving the image data D1, the communication unit 24 inputs the image data D1 to the conversion unit 23 (reception process: step S101).

[0072] The converter 23 copies the input video data D1 and inputs one of the pieces of video data D1 to the monitor 21 (distribution process: step S102). The converter 23 converts the other of the copied video data D1 into sensory information D2 (conversion process: step S103).

[0073] FIG. 6 is an explanatory diagram illustrating a schematic example of the sensed information D2. The sensory information D2 is data used to measure the traffic information D3. The sensory information D2 is, for example, time-series data of a sensory signal. The vertical axis of FIG. 6 indicates the image capture time of the video data D1, and the vertical axis of FIG. 6 indicates the sensory signal. When the sensory information D2 is acquired based on the video data D1, the sensory signal is a statistical value of the luminance values ​​(for example, the average luminance values) in a predetermined range A1 of the video data D1.

[0074] The brightness value is likely to be higher when the vehicle 51 is captured than when the road 61 (generally an asphalt pavement surface) is captured. For this reason, in the sensed information D2, the peak F1 in the maximum direction can be considered to mean the passage of the vehicle 51. For example, assume that the camera 31 is in the first state and the predetermined range A1 captures the target area 62. In this case, when the sensed information D2 shown in FIG. 6 is acquired, there are four peaks F1 during the period F2, and therefore it can be considered that four vehicles 51 have passed through the target area 62.

[0075] See Fig. 5. Next, the monitoring unit 21 outputs the input video data D1 to the output unit 25, and displays the video data D1 to the user (output process: step S104).

[0076] FIG. 7 is a schematic diagram illustrating the display screen 7 output to the output unit 25. As shown in FIG. The display screen 7 is, for example, a screen in which the video data D1 is embedded in a GUI screen pre-recorded in the computer program P1. The display screen 7 includes a monitoring screen 71 that displays the video data D1 in real time, an operation screen 72 that includes operation buttons for issuing operation commands to the cameras 31, and a selection screen 73 for selecting one of the multiple cameras 31.

[0077] The selection screen 73 displays, for example, a list of names of locations where a plurality of cameras 31 are installed. When the user operates the input unit 26 (for example, a mouse) to select one of these location names, the video data D1 acquired by the camera 31 installed at that location is displayed on the monitoring screen 71. In the example of FIG. 7, the video data D1 of the camera 31 installed on "Road C" is displayed on the monitoring screen 71.

[0078] The operation screen 72 includes a rotation button 721 for rotating the camera 31, a zoom button 722 for zooming the camera 31, a registration button 723 for registering the current angle of view of the camera 31, a registration angle positioning button 724 for moving the camera 31 to the registered angle of view, and an initialization button 725 for positioning the camera 31 at its initial position (i.e., putting the camera 31 in the first state). When the user operates these buttons 721 to 725 using the input unit 26, the monitoring unit 21 generates an operation command for the camera 31 selected on the selection screen 73 and outputs the operation command to the communication unit 24. The communication unit 24 transmits the operation command to the drive unit 32 via the public communication network N1, and the drive unit 32 operates the camera 31.

[0079] 7, only the video data D1 acquired by the camera 31 at one location (for example, "Road C") is displayed on the monitoring screen 71, but video data D1 from two or more locations may be displayed side by side on the monitoring screen 71. For example, when it is desired to check the upstream and downstream of a congested road 61, the monitoring unit 21 may display the video data D1 acquired by the camera 31 at "Intersection A" and the video data D1 acquired by the camera 31 at "Intersection B" located downstream of Intersection A side by side on the monitoring screen 71, either horizontally or vertically.

[0080] Furthermore, cameras 31 for which video data D1 is not displayed on the monitoring screen 71 are not currently being used to monitor the road 61, and therefore it is preferable to set them to the first state in order to accurately acquire the sensing information D2. For example, if a user monitors video data D1 from camera 31 on "Road C" and selects "East end of Bridge D" on selection screen 73 while keeping camera 31 in the second state by operating operation screen 72, monitoring unit 21 displays video data D1 from camera 31 on "East end of Bridge D" on monitoring screen 71, and outputs an operation command to drive unit 32 to set camera 31 on "Road C" to the first state.

[0081] As a result, cameras 31 that are not used on the monitoring screen 71 can be automatically returned to the first state without the user having to manually return them to the first state using the initialization button 725, so that if the user "forgets to return them," it is possible to prevent a situation in which accurate sensing information D2 cannot be obtained from continuing.

[0082] See FIG. 5. Next, the converter 23 determines whether the sensed information D2 is suitable for measuring traffic information D3 (determination process: step S105). For example, when the camera 31 is in the second state, it is not possible to accurately acquire traffic information D3 for the target area 62, as described in FIG. 3. Therefore, the converter 23 determines whether the target area 62 falls within a predetermined range A1 of the video data D1 (i.e., whether the camera 31 is in the first state). If the target area 62 falls within the predetermined range A1, the converter 23 determines that the video data D1 is "normal," and if not, the converter 23 determines that the video data D1 is "abnormal."

[0083] Specifically, when video data D1 includes information about the rotation angle and zoom magnification of camera 31, converter 23 determines that the information is "normal" if the information matches the rotation angle and zoom magnification in the first state. On the other hand, when the information does not match the rotation angle and zoom magnification in the first state, converter 23 determines that the camera 31 is "abnormal" because it is considered that the camera 31 is in the second state.

[0084] Furthermore, if the video data D1 does not include information regarding the rotation angle and zoom magnification of the camera 31, for example, the conversion unit 23 stores the video data D1 in the first state as reference data, compares the newly acquired video data D1 with the reference data using a known matching algorithm, and determines that the data is "normal" if the matching score is greater than a predetermined value (i.e., if the newly acquired video data D1 is close to the reference data to a certain extent), and otherwise determines that the data is "abnormal."

[0085] In this way, the conversion unit 23 determines that there is an "abnormality" when the video data D1 is data captured in the second state. The conversion unit 23 also determines that there is an "abnormality" when the provision of the video data D1 is interrupted for a predetermined period of time or more due to a line break or other reason. For example, when a failure in the public communication network N1 prevents the communication unit 24 from receiving the video data D1 and the input of the video data D1 from the communication unit 24 to the conversion unit 23 is interrupted for a predetermined period of time or more, the conversion unit 23 determines that there is an "abnormality."

[0086] The above determination method is an example, and the converter 23 may perform the determination process using other methods as long as it can determine whether the target area 62 falls within the predetermined range A1 of the video data D1.

[0087] If the result of the determination process is that the information is normal, the conversion unit 23 outputs the sensed information D2 to the measurement unit 22. The measurement unit 22 measures traffic information D3 based on the sensed information D2 (measurement process: step S106). The measurement method executed by the measurement unit 22 is not particularly limited, and the traffic information D3 is measured by a known measurement method.

[0088] The traffic information D3 is, for example, the traffic volume in the target area 62. In this case, for example, the measurement unit 22 calculates the traffic volume based on the number of peaks F1 per unit period.

[0089] Furthermore, the traffic information D3 may be the average passing speed of the vehicle 51 in the target area 62. In this case, for example, the measurement unit 22 may calculate the average passing speed based on the average value of the full width at half maximum of the multiple peaks F1.

[0090] Alternatively, the traffic information D3 may be the link travel time of the road 61 including the target area 62, or, if the target area 62 includes the area near the stop line before an intersection, the traffic information D3 may be the stopping time of the vehicle 51 at the intersection. Furthermore, if the target area 62 includes multiple lanes of the intersection, including the left-turn lane, the straight lane, and the right-turn lane, the traffic information D3 may be the branching rate of the vehicle 51 at the intersection (a value indicating the proportion of turns in each direction). The traffic information D3 may be a value other than those mentioned above.

[0091] The measurement unit 22 generates control parameters D4 based on the measured traffic information D3 and outputs the control parameters D4 to the traffic signal control unit 41 via the public communication network N1. The traffic signal control unit 41 controls the traffic signals 42 based on the control parameters D4. This completes the measurement process (step S106).

[0092] On the other hand, if the result of the determination process indicates that an abnormality has occurred, the conversion unit 23 outputs an abnormality notification to the monitoring unit 21 (notification process: step S107).

[0093] FIG. 8 is a schematic diagram illustrating the display screen 7 in a state where an abnormality notification is displayed. When an abnormality notification is input from the conversion unit 23, the monitoring unit 21 displays an abnormality screen 74 on the display screen 7. The abnormality screen 74 is a dialog that notifies the user of an abnormality, and pops up in front of the other screens 71 to 73. When the abnormality screen 74 pops up, the monitoring unit 21 may emit a warning sound from the speaker of the output unit 25 so that the user can easily notice it.

[0094] The error screen 74 includes, for example, an error message saying "A measurement error has occurred due to a deviation in the camera's angle of view. If no input is made, initialization will occur automatically in XX seconds," an initialization button 741, and a cancel button 742. The error message displays the time (XX seconds) remaining until the camera 31 in the second state is automatically initialized, and the remaining time is counted down as time passes.

[0095] The remaining time is not particularly limited, but may be, for example, 60 seconds. Camera 31 being in the second state may mean that the user is currently watching video data D1 while operating camera 31 to monitor, for example, an accident scene, or that the user has forgotten to return camera 31 to the first state after such monitoring work.

[0096] If the user is currently monitoring the road 61 using the video data D1, it is likely that some abnormality has occurred on the road 61, and therefore measuring the traffic information D3 in this state will often not yield any meaningful information. It is also likely that the user would prefer to prioritize monitoring the road 61 with the camera 31 over measuring the traffic information D3. For this reason, if the user wants to use the camera 31 for monitoring purposes after the abnormality screen 74 is displayed, the user clicks the cancel button 742 to maintain the second state of the camera 31.

[0097] Specifically, after displaying the abnormality screen 74, the monitoring unit 21 waits to receive input from the user (step S108). For example, the monitoring unit 21 waits for the remaining time indicated on the abnormality screen 74. If the user clicks the cancel button 742 during this time, the monitoring unit 21 continues to wait for an additional time (waiting process: step S109), and then executes the determination process (step S105) again. This allows the camera 31 to maintain its current state, and the user can continue monitoring the road 61.

[0098] On the other hand, if the user forgets to return the camera 31 to the first state, the abnormal event on the road 61 has usually been resolved and there is little need to use the camera 31 for monitoring purposes. For this reason, the user clicks the initialization button 741 after the abnormality screen 74 is displayed to return the camera 31 to the first state.

[0099] Specifically, if the user clicks the initialization button 741 via the input unit 26 while the monitoring unit 21 is waiting in step S108, the monitoring unit 21 outputs a command to operate the camera 31 in the first state (driving process: step S110). The command is transmitted to the driving unit 32 via the communication unit 24 and the public communication network N1, and the driving unit 32 returns the camera 31 to the first state. As a result, the operation of the initialization button 741 triggers the monitoring unit 21 to operate the camera 31 in the first state, and the video data D1 provided by the camera 31 can be used for measurement purposes.

[0100] Furthermore, while monitoring unit 21 is waiting in step S108, if the user does not perform any operation via input unit 26 for a predetermined time or longer, monitoring unit 21 also outputs a command to operate camera 31 in the first state (driving process: step S110). If the user forgets to return camera 31 to the first state, the user may be away from output unit 25, for example, and may not notice abnormal screen 74. Even in such a case, monitoring unit 21 operates camera 31 in the first state when there is no input even after waiting for the predetermined time, and therefore video data D1 provided by camera 31 can be used for measurement purposes.

[0101] In this way, even if the camera 31 is in the second state, the monitoring unit 21 returns the camera 31 to the first state unless the user clicks the cancel button 742. This allows the camera 31, which is used for monitoring purposes and may move from the first state, to be used efficiently for measurement purposes as well. This allows the camera 31 to also serve as a conventional sensor 36, thereby reducing the number of devices required for traffic infrastructure.

[0102] After the drive process (step S110), the conversion unit 23 executes the determination process (step S105) again. If the camera 31 has returned to the first state normally, it is determined that the camera 31 is "normal" and the process proceeds to the measurement process (step S106). If not, it is determined that the camera 31 is "abnormal," and the notification process (step S107) and subsequent processes are executed again. This completes the series of information processing methods.

[0103] [Modification] Modifications of the embodiment will be described below. In the following modifications, the same components as those in the embodiment will be denoted by the same reference numerals and the description thereof will be omitted.

[0104] [Alternative parameters when determining abnormality] In the above embodiment, when the determination process (step S105) determines that the information processing device 10 is normal, the information processing device 10 measures traffic information D3, calculates control parameters D4 based on the traffic information D3, and outputs the control parameters D4 to the traffic signal control unit 41. On the other hand, when the determination process (step S105) determines that the information processing device 10 is abnormal, accurate sensing information D2 cannot be obtained, and therefore, traffic information D3 is not measured.

[0105] In this case, there is a risk that the output of the control parameter D4 to the traffic signal control unit 41 will be interrupted. To address this, when an abnormality is determined in step S105, the information processing device 10 may output the control parameter D4 that was being output to the traffic signal control unit 41 immediately before the abnormality determination as the substitute parameter D5 to the traffic signal control unit 41. This allows the traffic signal control unit 41 to receive the parameter without interruption and to continuously control the traffic signal 42.

[0106] Alternatively, the alternative parameter D5 may be a value previously recorded in the storage unit 12. For example, the measurement unit 22 periodically calculates a statistical value (e.g., an average value) of the control parameter D4 and stores the calculated statistical value. Then, when an abnormality is determined and the input of the sensing information D2 from the conversion unit 23 is interrupted, the measurement unit 22 outputs the calculated statistical value to the traffic signal control unit 41 as the alternative parameter D5 in place of the control parameter D4. By using the statistical value of the previous control parameter D4 as the alternative parameter D5, it is possible to continue signal control that is reasonably appropriate.

[0107] Alternatively, the alternative parameter D5 may be a parameter calculated based on data provided by another providing device 30 located near the camera 31 that has been determined to be abnormal. For example, if the camera 31 at "intersection A" is in the second state and is determined to be abnormal, the measurement unit 22 measures traffic information D3 based on sensing information D2 obtained by converting video data D1 from the camera 31 at "intersection B" located downstream of intersection A. Then, the measurement unit 22 calculates the alternative parameter D5 based on the traffic information D3. In this way, by calculating the alternative parameter D5 based on data provided by a nearby providing device 30 (i.e., an alternative sensor), it is possible to continue signal control that is reasonably appropriate.

[0108] [Data branching in the communication section] 9 is a block diagram showing a schematic functional configuration of an information processing system 1 according to a modified example. In the above embodiment, a single piece of video data D1 used for both monitoring and measurement purposes is provided from the providing device 30 to the communication unit 24, and the conversion unit 23 copies the video data D1 for monitoring and measurement purposes, distributes one piece of video data D1 to the monitoring unit 21, and distributes the other piece of sensory information D2 obtained by converting the video data D1 to the measurement unit 22. In this way, the conversion unit 23 has both a data distribution function and a conversion function.

[0109] However, the implementation of the present disclosure is not limited to this, and for example, video data D1 for monitoring purposes and, separately, video data D1 for measurement purposes may be provided in advance from the providing device 30. As shown in Fig. 9, the providing device 30 and the information processing device 10a are connected via a line with twice the bandwidth compared to Fig. 1, and the providing device 30 provides the video data D1 for monitoring purposes and the video data D1 for measurement purposes to the communication unit 24a.

[0110] The communication unit 24a outputs the video data D1 for monitoring to the monitoring unit 21, and outputs the video data D1 for measurement to the conversion unit 23a (branching function). The conversion unit 23a converts the input video data D1 directly into sensory information D2 without duplicating it, and outputs the sensory information D2 to the measurement unit 22.

[0111] In this modification, unlike the above embodiment, there is no need to copy the video data D1 in the conversion unit 23, and the video data D1 for monitoring purposes provided by the providing device 30 can be output directly to the monitoring unit 21, thereby improving the real-time nature of monitoring. On the other hand, since the information processing device 10a receives video data D1 with twice the capacity from the start, a maximum of twice the line bandwidth is required between the providing device 30 and the information processing device 10a compared to the example of Figure 1, which may increase line costs. For this reason, if you want to reduce line costs, it is preferable to adopt the above embodiment.

[0112] [Data distribution in the communications department] 10 is a block diagram illustrating a schematic functional configuration of an information processing system 1 according to a modified example. In the above embodiment, the video data D1 is distributed by the conversion unit 23. However, in the information processing device 10b according to this modified example, the video data D1 is distributed by the communication unit 24b instead.

[0113] When a single piece of video data D1 used for both monitoring and measurement purposes is provided to the communication unit 24b, the communication unit 24b copies the video data D1. Then, one piece of video data D1 is output to the conversion unit 23a, and the other piece of video data D1 is output to the monitoring unit 21 (distribution function). With this configuration, the processing load on the conversion unit 23a can be made lighter than that of the conversion unit 23, and it is possible to prevent the processing load from being concentrated on either functional configuration. Furthermore, because the communication unit 24b copies and distributes the video data D1, there is no need to increase the line bandwidth as in FIG. 9, and the increase in line costs can be suppressed to the same extent as in the example of FIG. 1.

[0114] [Data distribution in the monitoring department] 11 is a block diagram illustrating a schematic functional configuration of an information processing system 1 according to a modified example. In the above embodiment, the video data D1 is distributed by the conversion unit 23. However, in an information processing device 10c according to this modified example, the video data D1 is distributed by the monitoring unit 21a instead.

[0115] When a single piece of video data D1 used for both monitoring and measurement purposes is provided to the communication unit 24c, the communication unit 24c outputs the video data D1 to the monitoring unit 21a. The monitoring unit 21a copies the video data D1 and outputs one of the pieces of video data D1 to the output unit 25, while outputting the other piece of video data D1 to the conversion unit 23a (distribution function and monitoring function).

[0116] According to this modification, the video data D1 provided from the providing device 30 can be output as is by the monitoring unit 21a, thereby improving the real-time nature of monitoring. Furthermore, because the video data D1 is distributed by the monitoring unit 21a, there is no need to increase the line bandwidth as in Fig. 9, and the increase in line costs can be suppressed to the same extent as in the example of Fig. 1.

[0117] [Data conversion on the provider device side] 12 is a block diagram showing a schematic functional configuration of an information processing system 1 according to a modified example. In the above embodiment, video data D1 is received from a providing device 30, and the information processing device 10 converts the video data D1 into sensory information D2.

[0118] In contrast, the providing device 30a of this modified example includes a converter 33 in addition to the camera 31a and the driver 32. The camera 31a distributes video data D1 of an image of the road 61 to the converter 33 and the information processing device 10d. The converter 33 converts the video data D1 into sensory information D2 and transmits it to the information processing device 10d via the public communication network N1. That is, the information processing device 10d receives the video data D1 from the camera 31a and the sensory information D2 from the converter 33.

[0119] In the information processing device 10d, the communication unit 24 receives the video data D1 and the sensing information D2, outputs the video data D1 to the monitoring unit 21, and outputs the sensing information D2 to the measurement unit 22. In this manner, in this modification, a conversion unit 33 is provided in each of the providing devices 30a installed at multiple locations, and therefore, as many conversion units 33 as there are providing devices 30a are required, and the number of devices increases.

[0120] However, the process of converting the video data D1 into the sensory information D2 in the information processing device 10d can be distributed to each of the providing devices 30a. Since the conversion unit 23 needs to convert the video data D1 from multiple locations simultaneously and in parallel, it is expected that high-performance hardware with a relatively large memory capacity will be required, and although the number of devices is small, the cost of the device may be high.

[0121] In contrast, by distributing the conversion unit 23 among multiple conversion units 33, the hardware performance required for each conversion unit 33 can be kept low, which tends to reduce the device cost. Therefore, depending on the required hardware performance, distributing the conversion process to the providing device 30a can reduce the device cost of the entire information processing system 1.

[0122] [Modification of the providing device] 13 is a block diagram showing a schematic functional configuration of an information processing system 1 according to a modified example. In the above embodiment, the information processing device 10 performs monitoring and measurement based on video data D1 provided from a providing device 30 including a camera 31 that monitors a road 61.

[0123] However, the data provided to the information processing device is not limited to this, and may be, for example, video data D1a captured by a camera 34 installed by an entity other than the user, or probe information D6 collected from an on-board device 52 installed in a vehicle 51.

[0124] The providing device 30b includes a camera 34 and a server 35. The camera 34 is, for example, a surveillance camera installed in a city by a public institution such as a local government. The camera 34 is installed in a position overlooking points where there is a high need to understand traffic conditions, such as roads that tend to be congested in tourist spots or major intersections in urban areas, and collects video data D1a of these points.

[0125] The video data D1a acquired by the cameras 34 at each location is aggregated in a server 35 managed by the public institution, for example. The server 35 then provides a set of the video data D1a to the information processing device 10e via the public communication network N1.

[0126] The server 35 also collects probe information D6 acquired by the on-board device 52. The probe information D6 is various data detected by the on-board device 52 mounted on the vehicle 51 traveling on the road 61, and is also called floating car data. The probe information D6 includes video data D1b captured by a camera mounted on the vehicle 51, as well as various vehicle attribute data such as identification information of the vehicle 51, the position of the vehicle 51, the speed of the vehicle 51, the traveling direction of the vehicle 51, and the time of occurrence of these.

[0127] The in-vehicle device 52 transmits the probe information D6 to the server 35 via, for example, the public communication network N1. The server 35 provides a set of probe information D6 aggregated from a plurality of vehicles 51 to the information processing device 10e via the public communication network N1. Note that the server that provides the probe information D6 to the information processing device 10e may be a server different from the server that provides the video data D1a of the camera 34 to the information processing device 10e.

[0128] When the communication unit 24 receives the video data D1a and the probe information D6 from the server 35, it outputs these data to the conversion unit 23. The conversion unit 23 copies the video data D1a and outputs one of the pieces of video data D1a to the monitoring unit 21, and converts the other piece of video data D1a into sensory information D2 and outputs it to the measurement unit 22. The conversion unit 23 also copies the video data D1b of the probe information D6 and outputs one of the pieces of video data D1b to the monitoring unit 21, and converts the other piece of video data D1b and the other probe information D6 into sensory information D2 and outputs it to the measurement unit 22.

[0129] The monitoring unit 21 outputs the video data D1a and D1b to the output unit 25. This allows the user to monitor the condition of the road 61 by visually recognizing the video data D1a and D1b on the display screen 7.

[0130] Here, the provision of data from the providing device 30b may be interrupted for various reasons. For example, since the probe information D6 is information acquired by the vehicle 51 traveling on the road 61, rather than by a sensor permanently installed on the road 61, if the vehicle 51 equipped with the on-board device 52 is not traveling at a predetermined point on the road 61, the probe information D6 at the predetermined point will be interrupted.

[0131] Furthermore, since the camera 34 is not managed by the user but by another entity, the camera may be turned off during the night to save power, resulting in interruptions in the video data D1a during such times. Furthermore, an abnormality may occur in the server 35 itself, causing interruptions in the provision of the video data D1a and probe information D6.

[0132] Therefore, the conversion unit 23 determines whether the input of these data D1a and D6 from the communication unit 24 has been interrupted for a predetermined time or more. If the input of the data D1a and D6 has been interrupted for a predetermined time or more, the conversion unit 23 determines that an abnormality has occurred and outputs an abnormality notification to the monitoring unit 21.

[0133] When the monitoring unit 21 receives the abnormality notification, it causes the output unit 25 to output a message informing the user of the abnormality. For example, if the video data D1a is interrupted, the monitoring unit 21 causes the output unit 25 to display an error message saying, "Video data provision from the camera 34 has been interrupted. Please contact YY, the administrator of the camera 34." Based on this message, the user can take appropriate action, such as contacting the public institution (YY) that manages the camera 34.

[0134] With this configuration, the collection of the sensing information D2, which was previously performed by the sensor 36 (FIG. 14), can be delegated to, for example, the existing camera 34, and the number of sensors 36 installed on the road 61 can be reduced. Also, even if the provision of the data D1a, D6 from the providing device 30b is interrupted, the user can be notified of the abnormality, allowing the user to become aware of the abnormality. This makes it possible to reduce the number of devices required for the transportation infrastructure while maintaining the transportation infrastructure.

[0135] [Additional Notes] The embodiments disclosed herein are illustrative in all respects and are not restrictive. The scope of the present disclosure is not limited to the above-described embodiments and modifications, but includes all modifications within the scope of equivalents to the configurations described in the claims. [Explanation of symbols]

[0136] 1. Information Processing Systems 10, 10a, 10b, 10c, 10d, 10e Information processing device 11 Control section 12 Storage section 13 Reading unit 14 Communications Department 15 Output section 16 Input section 21,21a Monitoring Department 22 Measurement section 23,23a Conversion section 24,24a,24b,24c Communication Department 25 Output section 26 Input section 30,30a,30b Provided equipment 31,31a Camera 32 Drive unit 33 Conversion unit 34 Camera 36 Sensor 41 Traffic Signal Control Unit 42 Traffic lights 51 vehicles 52 On-vehicle equipment 61 Road 62 Target Area 7 Display screen 71 Monitoring screen 72 Operation screen 73 Selection Screen 721 Rotation Button 722 Zoom button 723 Registration button 724 Button 725 Initialization button 74 Abnormal screen 741 Initialization button 742 Cancel button 9. Information Processing Systems 90 Information processing equipment 91 Monitoring Department 92 Measurement section 95 Output section 96 Input section N1 public communication network D1, D1a, D1b video data D2 sensing information D3 Traffic Information D4 Control parameters D5 Alternative parameters D6 Probe Information A1 specified range B1 Bus P1 Computer Program M1 recording medium F1 Peak F2 period

Claims

1. A control unit is provided that receives data on detected road conditions, the control unit executes a notification process to output an abnormality notification to an output unit when at least one of the cases where the provision of the data is interrupted for a predetermined period of time or longer and when an abnormality exists in the data. Information processing device.

2. The data is used for measuring traffic information of the road and for purposes other than the measurement purpose. The information processing device according to claim 1 .

3. the data is video data provided by a camera operable in a first state in which a target area of ​​the road is captured within a predetermined range of the data, and a second state other than the first state; the control unit executes the notification process when the video data is data captured in the second state. The information processing device according to claim 1 .

4. the control unit outputs a command to operate the camera in the first state when, after the notification process, a predetermined operation is received from a user via an input unit, or when no operation is performed via the input unit for a predetermined period of time or longer. The information processing device according to claim 3 .

5. The control unit an output process of outputting the video data to the output unit via another device or directly; a conversion process for converting the video data into sensory information used for measuring traffic information; To execute The information processing device according to claim 3 .

6. The control unit measuring the traffic information based on the sensing information; calculating a control parameter for controlling a traffic signal installed on the road based on the traffic information; If the notification process is not being executed, output the control parameters to a control device of the traffic signal; When the notification process is being executed, an alternative parameter for the control parameter is output to the control device. The information processing device according to claim 5 .

7. The data is probe information collected from a vehicle traveling on the road. The information processing device according to claim 1 .

8. a control unit that executes output processing and conversion processing; the output process is a process of outputting data provided from a camera operable in a first state in which a target area of ​​a road is captured within a predetermined range and a second state other than the first state, to an output unit via another device or directly; The conversion process is a process of converting the data into sensory information used to measure traffic information. Information processing device.

9. An information processing device according to any one of claims 1 to 8; a providing device that provides the data to the information processing device; Equipped with Information processing system.

10. receiving data on sensed road conditions; a step of executing a notification process of outputting an abnormality notification to an output unit when at least one of the cases where the provision of the data is interrupted for a predetermined time or longer and when an abnormality exists in the data; An information processing method comprising:

11. A computer program that causes a computer to function as an information processing device, The computer program comprises: receiving data on sensed road conditions; a step of executing a notification process of outputting an abnormality notification to an output unit when at least one of the cases where the provision of the data is interrupted for a predetermined time or longer and when an abnormality exists in the data; A computer program that causes the computer to execute the above.

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