Risk map display device, risk map display method, and program

Abstract

It optimally predicts risks and displays a risk map corresponding to the predicted risks. [Solution] The risk map display device 10 includes a risk prediction unit 103 that predicts traffic risks in a predetermined area, and a risk map display unit 105 that displays a risk map in which risk information corresponding to the risks predicted by the risk prediction unit 103 is superimposed on map information. The risk map display unit 105 displays a risk map that includes information corresponding to the number of risks predicted by the risk prediction unit 103.

Description

Technical Field

[0001] The present invention relates to a risk map display device, a risk map display method, and a program.

Background Art

[0002] A risk map generation device has been proposed that plots accident locations included in accident performance data on map data to generate a risk map (for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the technology described in Patent Document 1, accident-prone areas and the like are plotted on a map based on the performance data of actually occurred accidents, and it may not be suitable for generating a risk map in an area where no accident has occurred or an area with few accidents.

[0005] In view of the above situation, the present invention has been made, and an object thereof is to provide a risk map display device and the like that can preferably predict risks and display a risk map corresponding to the predicted risks.

Means for Solving the Problems

[0006] To achieve the above object, the risk map display device of the present invention includes a prediction unit that predicts risks related to traffic in a predetermined area, and a risk map display unit that displays a risk map in which risk information corresponding to the risks predicted by the prediction unit is superimposed on map information. The risk map display unit displays the risk map, which includes information corresponding to the number of risks predicted by the prediction unit.

[0007] The system includes a setting unit that allows setting up new installations at predetermined locations on the aforementioned risk map. Depending on whether the predetermined location is a road or an intersection, the types of installations that can be set by the setting unit may differ.

[0008] When a new installation is set by the aforementioned setting unit, The prediction unit re-predicts the risk according to the installation set by the setting unit, The risk map display unit may be configured to display a risk map corresponding to the installed object set by the setting unit.

[0009] The risk map includes a parameter setting unit that allows setting parameters for accident reduction at predetermined points, When the parameters are set by the parameter setting unit, The prediction unit re-predicts the risk according to the parameters set by the parameter setting unit, The risk map display unit may be configured to display a risk map corresponding to the parameters set by the parameter setting unit.

[0010] To achieve the above objective, the risk map display method of the present invention is The risk map display device Predict traffic risks in a designated area, A risk map is displayed in which risk information corresponding to the predicted risks is superimposed on the map information. The risk map is displayed, which includes information corresponding to the number of predicted risks.

[0011] To achieve the above objective, the program of the present invention Computers, A prediction unit that predicts traffic-related risks in a designated area. A risk map display unit that displays a risk map in which risk information corresponding to the risk predicted by the prediction unit is superimposed on map information, functions as; The risk map display unit displays the risk map including information according to the number of risks predicted by the prediction unit.

Advantages of the Invention

[0012] According to the present invention, risks can be preferably predicted and a risk map corresponding to the predicted risks can be displayed.

Brief Description of the Drawings

[0013] [Figure 1] It is a functional block diagram of a risk map display device according to the present embodiment. [Figure 2] It is a diagram showing a configuration example of prediction data in the present embodiment. [Figure 3] It is a diagram showing a hardware configuration example of a risk map display device according to the present embodiment. [Figure 4] It is a flowchart showing an example of risk map display processing. [Figure 5] (A) and (B) are diagrams showing display examples in a risk map display device. [Figure 6] (A) and (B) are diagrams showing display examples in a risk map display device.

Embodiments for Carrying Out the Invention

[0014] Hereinafter, a risk map display device 10 according to an embodiment of the present invention and a risk map display method executed by the risk map display device 10 will be described with reference to the drawings. In the drawings, the same or corresponding parts are denoted by the same reference numerals.

[0015] The risk map display device 10 of the present embodiment predicts risks related to at least one of traffic, crime, or disasters on a specified map based on prediction data, and displays a risk map in which risk information corresponding to the predicted risks is superimposed on the map information. Further, the risk map display device 10 can display a risk map including information corresponding to the number of predicted risks.

[0016] FIG. 1 is a functional block diagram showing the functional configuration of the risk map display device 10 according to the present embodiment. Functionally, the risk map display device 10 includes a prediction data acquisition unit 101, a map data acquisition unit 102, a risk prediction unit 103, a setting unit 104, and a risk map display unit 105. The risk map display device 10 is connected to a prediction DB (database) 110 by wire or wirelessly. The risk map display device 10 may be connected to the prediction DB 110 via a communication network such as the Internet or a dedicated line. Note that the risk map display device 10 may include the prediction DB 110.

[0017] The prediction data acquisition unit

[101] ] acquires prediction data for predicting risks related to at least one of traffic, crime, or disasters in a predetermined area from the prediction DB 110. In this embodiment, the predetermined area is an area on the map specified by the user. Therefore, the prediction data acquisition unit 101 acquires the prediction data on the map specified by the user.

[0018] The map data acquisition unit 102 acquires map data of a predetermined area from an external database, server, etc. that stores map data of each location. Note that the map data acquisition unit 102 may acquire map data via a storage medium such as a memory card. The map data acquisition unit 102 acquires map data of the range specified by the user from the outside. Note that the risk map display device 10 may store map data of each location in advance.

[0019] The risk prediction unit 103 predicts the risk at each point (roads, intersections, buildings, etc.) in the map data acquired by the map data acquisition unit 102, based on the prediction data acquired by the prediction data acquisition unit 101. For example, the risk prediction unit 103 predicts the number of risk occurrences at each point in the map data within a predetermined period (for example, from the present to one year from now). In this embodiment, the risk map display device 10 displays a risk map of a risk type selected by the user. The predetermined period for predicting the number of risk occurrences may be specified by the user.

[0020] In this embodiment, the user can select traffic, crime, wind and flood disasters, and fire as the risk type when displaying the risk map. When traffic is selected as the risk type, the risk prediction unit 103 predicts the number of traffic accidents as the risk. When crime, wind and flood disasters, or fire is selected as the risk type, the risk prediction unit 103 predicts the number of occurrences of those events as the risk. The risk prediction unit 103 may also predict the rate of risk occurrence within a predetermined period, or predict a numerical value (risk level, indicator, etc.) that indicates the risk within a predetermined period.

[0021] When the risk prediction unit 103 predicts a risk, it outputs risk information corresponding to the predicted risk to the risk map display unit 105.

[0022] For risk prediction by the risk prediction unit 103, machine learning is used, for example. In this case, first, the risk map display device 10 or other information processing device uses the actual number of occurrences (history) of risks for any of the information included in the prediction data as training data, and performs training using supervised learning to generate a trained model (regression model). Linear regression, decision trees, etc., can be used as the machine learning algorithm (machine learning model) at this time. The risk map display device 10 stores the generated trained model.

[0023] The risk prediction unit 103 then inputs the prediction data acquired by the prediction data acquisition unit 101 into a pre-trained model that has been generated in advance, and outputs the number of risk occurrences as the prediction result.

[0024] The risk prediction unit 103 may also use statistical methods to predict the number of risk occurrences from the prediction data. For example, it may perform regression analysis on the correlation between the prediction data and the number of risk occurrences, and obtain a calculation formula (regression formula) based on the analysis results. Then, the risk prediction unit 103 may use the obtained calculation formula to calculate the number of risk occurrences from the prediction data.

[0025] Thus, the risk map display device 10 of this embodiment displays the number of predicted risk occurrences based on prediction data. Therefore, even when it is not possible to display the actual number of past risks from the standpoint of protecting personal information, etc., a risk map can be suitably generated and displayed. Furthermore, the risk map display device 10 also allows for simulations in which new conditions are set for the risk map.

[0026] The setting unit 104 can set new installations at predetermined locations on the risk map in response to user operations. The setting unit 104 can also set parameters for accident reduction at predetermined locations on the risk map. When new installations or parameters are set by the setting unit 104, the risk prediction unit 103 re-predicts the risk based on the newly set installations and parameters, and outputs the risk information corresponding to the re-predicted risk to the risk map display unit 105. In this way, the risk map display device 10 enables simulations for risk reduction by setting the newly set installations and parameters on the risk map. Therefore, users can refer to the simulation results as a reference when actually installing installations.

[0027] The risk map display unit 105 generates a risk map by superimposing risk information corresponding to the risks predicted or re-predicted by the risk prediction unit 103 onto the map data acquired by the map data acquisition unit 102, and displays it on an external display device or the display of the risk map display device 10. Specifically, the risk map display unit 105 generates and displays a risk map that includes information corresponding to the number of risks at each location (roads, intersections, buildings, etc.) predicted by the risk prediction unit 103. The risk map display unit 105 may also output the risk map to an external device connected via a network.

[0028] The prediction DB110 consists of a storage device such as non-volatile memory, an HDD (Hard Disk Drive), and / or an SSD (Solid State Drive), and stores various prediction data used for predicting risks in the risk map display device 10. Figure 2 shows an example of prediction data stored in the prediction DB110. The prediction DB110 stores multiple prediction data for each risk type at each point on the map. The risk types correspond to the risk types of the risk map generated and displayed by the risk map display device 10, and in this embodiment, these are traffic, crime, wind and flood disasters, and fire. That is, the risk map display device 10 generates and displays risk maps related to traffic, crime, wind and flood disasters, and fire. Note that other risks may be included as risk types, or they may be further subdivided.

[0029] As shown in Figure 2, the data used to predict traffic risk includes road shape at each point (road), traffic volume at each road and intersection, road width, number of lanes, presence or absence of traffic lights, speed limit, presence or absence of guardrails, road gradient, presence or absence of sharp curves, etc. The data used to predict crime risk includes daytime and nighttime population, traffic volume, age distribution, land use zone, type of building / facility, distance from police station, distance from school, etc. The data used to predict wind and flood risk includes nearby water source information, elevation, road gradient, etc. The data used to predict fire risk includes land use zone, type of building / facility, road width, housing density, etc. Note that the items in the prediction data shown in Figure 2 are just examples, and other items may be included. The items in the prediction data should be those that the risk map display device 10 used as training data during machine learning.

[0030] The risk map display device 10 may also have configurations other than the functional unit shown in Figure 1.

[0031] Figure 3 shows an example of the hardware configuration of the risk map display device 10. The risk map display device 10 includes a processor 11 such as a CPU (Central Processing Unit) and a GPU (Graphical Processing Unit), a storage device 12 such as memory, an HDD and / or an SSD, a communication interface 13 for wired or wireless communication, an input device 14 for receiving input operations, and an output device 15 for outputting information. The input device 14 is, for example, a keyboard, a touch panel, a mouse and / or a microphone. The output device 15 is, for example, a display and / or a speaker.

[0032] The processor 11 reads the program stored in the memory device 12 and operates as the various functional units shown in Figure 1.

[0033] The risk map display device 10 may be composed of one or more general-purpose information processing devices such as a mainframe, workstation, or personal computer (PC), or it may be a dedicated device. Furthermore, the risk map display device 10 may be composed of a virtual information processing device operating on a hypervisor, an information processing device using container virtualization, or a cloud server.

[0034] Next, the operation of the risk map display device 10 will be described. Figure 4 is a flowchart showing an example of the risk map display process performed by the risk map display device 10. The risk map display process is the process of generating and displaying a risk map of the selected risk type for a specified area (such as the displayed map) in response to user operation, and corresponds to the risk map display method. The risk map display process is started, for example, in response to a user operation to activate the risk map display function on the risk map display device 10.

[0035] In the risk map display process, first, the processor 11 (map data acquisition unit 102) of the risk map display device 10 acquires map data for a specified area in response to user operation (step S11). Then, the processor 11 displays a map corresponding to the acquired map data (step S12). The map initially displayed may be predetermined, or it may be displayed based on the location information of the risk map display device 10.

[0036] Figures 5 and 6 show examples of the screen display when the risk map display device 10 displays a risk map. The screens shown in Figures 5 and 6 are examples of what is displayed on the display 50, which is the output device 15 of the risk map display device 10. The risk map display device 10 also accepts user input via a mouse or keyboard, which is the input device 14.

[0037] Figure 5(A) shows the top screen of the risk map display device 10 when a user activates the risk map display function. In the risk map display device 10, it is sufficient for the user to activate the risk map display function by launching a dedicated application or the like. In this embodiment, the screen of the risk map display function is divided into left and right sections. As shown in Figure 5(A), on the top screen, the map 51 is displayed on the left screen, and the menu 52 for selecting the risk type is displayed on the right screen. In addition, multiple tabs are displayed at the top of the map 51 and the menu 52 (top of the left and right screens). Figure 5(A) shows the "TOP" tab, which corresponds to the top screen, selected. When a user selects a tab using the mouse or the like, the screen transitions to the screen corresponding to that tab.

[0038] The user can display a map of any area by scrolling, zooming in and out, etc., on the map 51 shown in Figure 5(A), or by selecting a location or display range through separate operations. This allows the user to specify a predetermined area for which they want to display the risk map. In steps S11 and S12, the processor 11 acquires map data corresponding to the user's map display operation and displays the map 51 corresponding to the acquired map data on the display 50.

[0039] After displaying the map in step S12, the processor 11 waits for the user to select the risk type to display on the risk map (step S13). While waiting for the user to select the risk type (step S13; No), the processor 11 may change the map displayed on the top screen in response to an operation to change the area where the map is displayed, for example.

[0040] As shown in Figure 5(A), the menu 52 on the top screen displays buttons for selecting a risk type corresponding to the type of risk map that can be displayed on the risk map display device 10. By operating one of these buttons, the user can select a risk type.

[0041] If the user selects a risk type (step S13; Yes), the processor 11 (prediction data acquisition unit 101) acquires prediction data for the selected risk type from the prediction DB 110 (step S14). In step S14, the processor 11 may acquire all prediction data for the risk type selected by the user from the prediction DB 110, or it may acquire prediction data for the area corresponding to the map 51 while it is displayed on the top screen.

[0042] Next, the processor 11 (risk prediction unit 103) predicts the number of occurrences of the risk type selected by the user on the map specified by the user, based on the prediction data acquired in step S14 (step S15).

[0043] For example, if "Traffic" is selected as the risk type in the menu 52 on the top screen shown in Figure 5(A), the processor 11 acquires prediction data for the "Traffic" risk (for example, information such as road shape and traffic volume, as shown in Figure 2) in step S14. Then, in step S15, the processor 11 predicts the risk within a predetermined period on the map 51 displayed on the top screen, i.e., the number of traffic accidents, based on the prediction data.

[0044] After predicting the number of risk occurrences, the processor 11 (risk map display unit 105) generates and displays a risk map by overlaying risk information corresponding to the predicted number of risk occurrences onto a map of the area specified by the user (step S16).

[0045] Figure 5(B) shows an example of the display of the risk map (details screen). When "Traffic" is selected as the risk type on the top screen shown in Figure 5(A), the screen switches to the "Details Screen" tab, as shown in Figure 5(B), and the risk map 51A is displayed on the left side of the screen. When a road or intersection is selected by the user by clicking or other means on the risk map 51A, the detailed information 53 of the selected location is displayed on the right side of the screen. Figure 5(B) shows an example where intersection c1 on the risk map 51A is selected, and the detailed information 53 of intersection c1 is displayed on the right side of the screen. The detailed information 53 includes at least the predicted number of risk occurrences at that location (shown as "Expected Number of Accidents" in Figure 5(B)). In Figure 5(B), the detailed information 53 includes an identification number, type, etc. In addition, the detailed information 53 only needs to include various information about the location (for example, at least some of the information included in the prediction data). In this way, the risk map display device 10 can display detailed information that includes at least the predicted number of risk occurrences for a location specified by the user. This allows us to provide information to users in a way that is tailored to their needs.

[0046] Furthermore, in the risk map 51A shown in Figure 5(B), roads are displayed in different colors according to their accident risk. For example, darker colored roads indicate a higher accident risk (predicted number of accidents). Intersections with a high accident risk are indicated with a danger mark. Displaying such a risk map 51A can alert the user. The method and manner of displaying the risk map are not limited to those that can suitably display the number of accidents predicted by the risk map display device 10, and any display method and manner may be adopted.

[0047] After displaying the risk map in step S16, the processor 11 displays information for setting up new installations according to the selected risk type and specified map data (step S17). For example, the types of new installations for each risk type and type of location on the map data (such as whether the specified location is an intersection or a road) are pre-stored in the storage device 12. In step S17, the processor 11 (setting unit 104) reads and displays the types of new installations according to the risk type and map data from the storage device 12.

[0048] Furthermore, the processor 11 displays information for setting parameters according to the selected risk type (step S18). For example, the types of configurable parameters for each risk type are pre-stored in the storage device 12. In step S18, the processor 11 (setting unit 104) reads the types of parameters according to the risk type from the storage device 12 and displays them.

[0049] The displays shown in steps S17 and S18 are for the purpose of performing simulations for risk mitigation on the risk map. The "display for setting new installations" shown in step S17 is for the purpose of simulating the number of risks when specific installations (e.g., traffic lights) are newly installed at the selected locations on the risk map to mitigate risks. The "display for setting parameters" shown in step S18 is for the purpose of simulating the number of risks when parameters (e.g., a 20% reduction in traffic volume) at the selected locations on the risk map are directly changed without specifying a method.

[0050] In step S17, the installed objects displayed, i.e., the installed objects that can be set, differ depending on the location selected in the risk map. For example, in the case of a traffic accident risk map, the installed objects that can be set differ depending on whether the selected location is a road or an intersection. The types of installed objects that can be set depending on whether it is a road or an intersection only need to be predetermined. For example, in the case of a road (straight road), it is possible to set up new speed limits (including Zone 30, etc.), new lanes, one-way streets, no parking or stopping, bumps, etc. In the case of an intersection, it is possible to set up new guardrails, pedestrian crossings, bumps, traffic lights, convex mirrors, right or left turn lanes, etc. at the selected intersection. Note that some installed objects may be common to both roads and intersections. In this way, the installed objects that can be set differ depending on whether the selected location is a road or an intersection, and in step S17, new installed objects are displayed according to whether the selected location is a road or an intersection, improving the convenience of simulation operation by the user.

[0051] Furthermore, in step S18, if it is a traffic accident risk map, it is possible to increase or decrease parameters such as traffic volume, vehicle speed that fluctuates with time (average speed), pedestrian flow (number of pedestrians), road gradient, and the number of sudden braking / acceleration / steering incidents. In this way, the parameters that can be set differ depending on the risk type, and in step S18, the parameters corresponding to the risk type are displayed, improving the convenience of simulation operation for the user.

[0052] In steps S17 and S18, it is sufficient to display the ability to set new installations and parameters according to the risk type. For example, the new installations and parameters that can be set should correspond to and be related to the prediction data according to the risk type, as shown in Figure 2. For example, if the risk type is crime, it would be sufficient to be able to set the installation of a police box, surveillance camera, sign, etc. Also, it would be sufficient to be able to set parameters such as the daytime and nighttime population of the surrounding area, traffic volume, age distribution, land use zone, types of surrounding buildings, distance from police boxes and schools, etc. If the risk type is wind and flood, it would be sufficient to be able to set elevation, road gradient, distance from water source, land use zone, past land use zone, surrounding facilities, etc. If the risk type is fire, it would be sufficient to be able to set land use zone, surrounding facilities, road width, density of houses, fire station, fire hydrant, etc.

[0053] Figure 6(A) shows an example of the simulation screen display. When the "Simulation" tab is selected in the detailed screen shown in Figure 5(B), condition setting items 54 are displayed on the right side of the screen, as shown in Figure 6(A). Condition setting items 54 display information corresponding to the processes in steps S17 and S18. In other words, in this display example, when the "Simulation" tab is selected, the content corresponding to steps S17 and S18 is displayed, making it a screen where the user can perform a simulation by setting new installations and parameters.

[0054] Figure 6(A) shows an example where intersection c1 on the risk map 51A is selected, and the right-hand screen displays the condition setting item 54 for intersection c1. The condition setting item 54 automatically displays information about the selected location (identification number, type, estimated number of accidents). Then, "guardrail," "pedestrian crossing," "bump," and "traffic light" are displayed as selectable options for new installations. These options should automatically display items that are not yet installed at the selected location. In addition, an item (pull-down menu) for "reducing traffic volume by 20%" is displayed as a parameter. The parameter should be changeable by operating the pull-down menu. Note that the parameter is intended to reduce risk.

[0055] Furthermore, in condition setting item 54, it is possible to add locations where conditions such as installed objects and parameters can be set. In addition, it may be possible to set multiple installed objects and parameters at each location.

[0056] After the processing in step S18, the processor 11 determines whether or not a new installation or parameter has been set by the setting unit 104 (step S19).

[0057] If an installation object or parameter is set (step S19; Yes), the processor 11 (risk prediction unit 103) re-predicts the number of risk occurrences taking into account the set items (step S20). In step S20, for example, if a new installation object is set, the number of risk occurrences is re-predicted based on map data obtained by applying the new installation object to the map data of the currently displayed map. Also, for example, if a parameter is set, the number of risk occurrences is re-predicted based on prediction data obtained by changing the parameter according to the setting.

[0058] Then, the processor 11 (risk map display unit 105) updates and displays the risk map by generating a new risk map based on the risk information corresponding to the number of occurrences of the re-predicted risks (step S21).

[0059] In the simulation screen shown in Figure 6(A), after setting the installations and parameters for each location, when the "Run Simulation" button is pressed, a risk map corresponding to the set items is displayed on the left side of the screen, and the number of accidents (accident count) re-predicted according to the set items is displayed in the number of accidents after countermeasures in condition setting item 54. In this way, the expected number of accidents and the number of accidents after countermeasures (simulation results) are displayed together at the same location, making it easier to verify risk reduction measures.

[0060] After the process in step S21 is executed, or if no installation object or parameter is set (step S19; No), the processor 11 determines whether the user has terminated the risk map display function on the risk map display device 10 (step S22).

[0061] If the user has initiated the operation to terminate the risk map display function (step S22; Yes), the processor 11 terminates the risk map display process. If the user has not initiated the operation to terminate the risk map display function (step S22; No), the process returns to step S19, and the processor 11 continues processing according to the user's operation.

[0062] As described above, the risk map display device 10 of this embodiment can predict risks in a predetermined area and display a risk map in which risk information corresponding to the predicted risks (information corresponding to the number of risks) is superimposed on map information. The actual number of risks (for example, the number of traffic accidents) may not be displayed from the standpoint of protecting personal information. Since the risk map display device 10 displays risk information predicted by a trained model (AI), it can suitably predict risks and display a risk map corresponding to the predicted risks.

[0063] Although not explained in Figure 4, when the risk map display function is activated in the risk map display device 10 and the risk map 51A is displayed, selecting the "Compare" tab will cause the screen on the left side to split into two, as shown in Figure 6(B), transitioning to a comparison screen where multiple risk maps 51B and 51C with different specified periods can be displayed. When a road or intersection is selected by the user by clicking or other means in risk map 51B or 51C, comparison information 55 for the selected location is displayed on the right side of the screen. The comparison information 55 includes at least the predicted number of risk occurrences for that location during each period. This allows the user to compare and view the number of risk occurrences for the same location over different periods. The comparison information 55 may also include various information about the location (e.g., information about the location). Furthermore, the comparison screen may allow for the display of a risk map (simulation result) after setting installations and parameters in the same area and a risk map before setting them. Additionally, the comparison screen may allow for the display of multiple risk maps with different set conditions.

[0064] Furthermore, in the screens shown in Figures 5 and 6, if the "Settings" tab is selected, the user should be taken to the settings screen for the risk map display function.

[0065] Note that the display examples of the risk map function shown in Figures 5 and 6 are just examples; the screen design can be arbitrarily changed as long as it displays the risk map in response to user operations and allows for the execution of simulations where new installations or items to be reduced are set.

[0066] (modified version) Furthermore, this invention is not limited to the above embodiments, and various modifications and applications are possible. For example, some parts of the above embodiments can be omitted, replaced, or any configurations can be added.

[0067] In the above embodiment, an example was described in which the risk type is traffic and the risk map display device 10 displays a traffic accident risk map as the risk map. However, even if other risk types are selected, the risk map display device 10 may display a risk map, simulation screen, comparison screen, etc., corresponding to the selected risk.

[0068] Furthermore, while the above embodiment assumed an example where the user directly operates the risk map display device 10 to display the risk map, the user may also access the risk map display device 10 from a terminal such as a PC or smartphone, and the risk map display device 10 may provide the risk map to the terminal in response to the user's operation on the terminal. Alternatively, the terminal may be a car navigation system installed in a vehicle, and the risk map may be provided to the car navigation system. In this way, the user can check the risk map in the vehicle.

[0069] The risk map display device 10 can be implemented using a regular computer, without requiring a dedicated device. For example, the risk map display device 10 that performs the above-described processing may be configured by installing a program for performing the above-described functions onto a computer from a recording medium containing the program. Alternatively, multiple computers may cooperate to form a single risk map display device 10.

[0070] Furthermore, the method for supplying programs to computers is arbitrary. For example, they may be supplied via communication lines, communication networks, communication systems, etc.

[0071] Furthermore, if the OS (Operating System) provides some of the above-mentioned functions, then the parts not provided by the OS should be provided by the program.

[0072] The embodiments described above are provided to facilitate understanding of the present invention and are not intended to limit its interpretation. The flowcharts, sequences, elements, and their arrangement, materials, conditions, shapes, and sizes described in the embodiments are not limited to those exemplified and can be modified as appropriate. Furthermore, configurations shown in different embodiments can be partially substituted or combined. [Explanation of Symbols]

[0073] 10…Risk map display device, 11…Processor, 12…Storage device, 13…Communication interface, 14…Input device, 15…Output device, 101…Prediction data acquisition unit, 102…Map data acquisition unit, 103…Risk prediction unit, 104…Setting unit, 105…Risk map display unit, 110…Prediction DB

Claims

1. A prediction unit that predicts traffic risks in a designated area, The system includes a risk map display unit that displays a risk map in which risk information corresponding to the risks predicted by the prediction unit is superimposed on map information, The risk map display unit displays the risk map, which includes information corresponding to the number of risks predicted by the prediction unit. Risk map display device.

2. The system includes a setting unit that allows setting up new installations at predetermined locations on the aforementioned risk map. Depending on whether the predetermined location is a road or an intersection, the types of installations that can be set by the setting unit will differ. The risk map display device according to claim 1.

3. When a new installation is set by the aforementioned setting unit, The prediction unit re-predicts the risk according to the installation set by the setting unit, The risk map display unit can display a risk map corresponding to the installed object set by the setting unit. The risk map display device according to claim 2.

4. The risk map includes a parameter setting unit that allows setting parameters for accident reduction at predetermined points, When the parameters are set by the parameter setting unit, The prediction unit re-predicts the risk according to the parameters set by the parameter setting unit, The risk map display unit can display a risk map corresponding to the parameters set by the parameter setting unit. The risk map display device according to claim 1.

5. The risk map display device Predict traffic risks in a designated area, A risk map is displayed in which risk information corresponding to the predicted risks is superimposed on the map information. The risk map, which includes information corresponding to the number of predicted risks, is displayed. How to display the risk map.

6. Computers, A prediction unit that predicts traffic-related risks in a designated area. The aforementioned prediction unit functions as a risk map display unit that displays a risk map in which risk information corresponding to the predicted risk is superimposed on map information. The risk map display unit displays the risk map, which includes information corresponding to the number of risks predicted by the prediction unit. program.

Images