Risk map display device, risk map display method and program

Abstract

To suitably predict risks and display a risk map corresponding to the predicted risks. [Solution] The risk map display device 10 comprises a risk prediction unit 103 that predicts traffic-related risks in a specified 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, and the risk map display unit 105 displays a risk map including information according 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 technology]

[0002] A risk map generating device has been proposed that generates a risk map by plotting accident locations included in accident history data on map data (for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2024-20716 Summary of the Invention [Problem to be solved by the invention]

[0004] The technology described in Patent Document 1 plots accident-prone areas on a map based on historical data on actual accidents, and may not be suitable for generating risk maps in areas where no accidents have occurred or where there are few accidents.

[0005] The present invention has been made in consideration of the above-mentioned situation, and aims to provide a risk map display device, etc. that can appropriately predict risks and display a risk map corresponding to the predicted risks. [Means for solving the problem]

[0006] In order to achieve the above object, the risk map display device of the present invention comprises: a prediction unit that predicts traffic risks in a predetermined 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; a setting unit capable of setting a new installation object at a predetermined point on the risk map; Equipped with the prediction unit is capable of predicting the number of occurrences of risks in the specified area within a specified period of time, The risk map display unit displays the risk predicted by the prediction unit. The occurrence Display the risk map including information according to the number of cases death, The installation object that can be set by the setting unit varies depending on whether the predetermined point is a road portion or an intersection portion, The installations that can be set in the road section include speed limit areas, new lanes, one-way streets, no parking and stopping areas, and bumps; The installations that can be set at the intersection include guardrails, crosswalks, road bumps, traffic lights, curve mirrors, and dedicated right and left turn lanes.

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

[0009] a parameter setting unit capable of setting parameters for reducing accidents at predetermined points on the risk map; 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 capable of displaying a risk map according to the parameters set by the parameter setting unit.

[0010] In order to achieve the above object, the risk map display method of the present invention comprises: The risk map display device Predicting traffic risks in a given area; displaying a risk map in which risk information corresponding to the predicted risk is superimposed on map information; A new installation can be set at a predetermined point on the risk map. , The number of risk occurrences in the specified area within a specified period of time can be predicted, The predicted risks The occurrence Display the risk map including information according to the number of cases death, The installation objects that can be set vary depending on whether the predetermined point is a road portion or an intersection portion, The installations that can be set in the road section include speed limit areas, new lanes, one-way streets, no parking areas, and bumps. The installations that can be set at the intersection include guardrails, crosswalks, bumps, traffic lights, convex mirrors, and dedicated right and left turn lanes. .

[0011] In order to achieve the above object, the program of the present invention comprises: Computer, a prediction unit that predicts traffic risks in a predetermined 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; a setting unit capable of setting a new installation object at a predetermined point on the risk map; It functions as the prediction unit is capable of predicting the number of occurrences of risks in the specified area within a specified period of time, The risk map display unit displays the risk predicted by the prediction unit. The occurrence Display the risk map including information according to the number of cases death, The installation object that can be set by the setting unit varies depending on whether the predetermined point is a road portion or an intersection portion, The installations that can be set in the road section include speed limit areas, new lanes, one-way streets, no parking areas, and bumps. The installations that can be set at the intersection include guardrails, crosswalks, road bumps, traffic lights, curve mirrors, and dedicated right and left turn lanes. [Effects of the Invention]

[0012] According to the present invention, risks can be suitably predicted and a risk map corresponding to the predicted risks can be displayed. [Brief explanation of the drawings]

[0013] [Figure 1] FIG. 1 is a functional block diagram of a risk map display device according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram illustrating an example of the configuration of calculation data according to the present embodiment. [Figure 3] FIG. 1 is a diagram illustrating an example of a hardware configuration of a risk map display device according to an embodiment of the present invention. [Figure 4] 10 is a flowchart illustrating an example of a risk map display process. [Figure 5] 10A and 10B are diagrams showing examples of display on a risk map display device. [Figure 6] 10A and 10B are diagrams showing examples of display on a risk map display device. DETAILED DESCRIPTION OF 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. Note that the same or corresponding parts in the drawings are given the same reference numerals.

[0015] The risk map display device 10 of this embodiment predicts risks related to at least one of traffic, crime, and disaster 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 map information. In addition, the risk map display device 10 is capable of displaying a risk map including information according to the number of predicted risks.

[0016] FIG. 1 is a functional block diagram showing the functional configuration of a risk map display device 10 according to this embodiment. Functionally, the risk map display device 10 is composed of 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 via a wired or wireless connection. 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 be configured to 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, and disaster in a predetermined area from the prediction DB 110. In this embodiment, the predetermined area is an area on a map designated by a user. Therefore, the prediction data acquisition unit 101 acquires prediction data on the map designated by the user.

[0018] The map data acquisition unit 102 acquires map data for a predetermined area from an external database, server, or the like that stores map data for various locations. 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 for an area designated by the user from outside. The risk map display device 10 may also store map data for various locations in advance.

[0019] The risk prediction unit 103 predicts the risk of each point (road, intersection, building, etc.) of the map data acquired by the map data acquisition unit 102 based on the prediction data acquired by the prediction data acquisition unit 101. The risk prediction unit 103 predicts, for example, the number of risk occurrences at each point of 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 the type of risk 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 a 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 these as the risk. Note that the risk prediction unit 103 may predict the rate of risk occurrence within a predetermined period, or may predict a numerical value indicating the risk within a predetermined period (such as the degree of risk, an index, etc.).

[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] The risk prediction unit 103 utilizes, for example, machine learning to predict risks. In this case, first, in the risk map display device 10 or another information processing device, learning is performed by supervised learning using the number of actual occurrences (history) of risks for any information included in the prediction data as training data, to generate a trained model (regression model). In this case, linear regression, decision tree, etc. may be adopted as the machine learning algorithm (machine learning model). The risk map display device 10 stores the generated trained model.

[0023] Then, the risk prediction unit 103 inputs the prediction data acquired by the prediction data acquisition unit 101 into a trained model that has been generated in advance, and obtains the number of occurrences of risk as an output as a prediction result.

[0024] The risk prediction unit 103 may use a statistical method to predict the number of occurrences of a risk from the prediction data. For example, the risk prediction unit 103 may perform a regression analysis of the correlation between the prediction data and the number of occurrences of a risk, 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 occurrences of a risk from the prediction data.

[0025] In this way, the risk map display device 10 of this embodiment displays the number of risk occurrences predicted based on the prediction data. Therefore, even if the actual number of past risks cannot be displayed due to concerns about personal information protection, etc., the risk map display device 10 can also generate and display a risk map in an appropriate manner. Furthermore, the risk map display device 10 can also perform simulations in which new conditions are set on the risk map.

[0026] The setting unit 104 can set new installations at predetermined points on the risk map in response to user operations. The setting unit 104 can also set parameters for accident reduction, etc., at predetermined points on the risk map. When the setting unit 104 sets new installations and parameters, the risk prediction unit 103 re-predicts risks according to the set new installations and parameters, and outputs risk information corresponding to the re-predicted risks to the risk map display unit 105. In this way, the risk map display device 10 is capable of performing simulations for risk reduction by setting the set new installations and parameters on the risk map. Therefore, the user can refer to the simulation results when actually installing installations, etc.

[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 on the map data acquired by the map data acquisition unit 102, and displays and outputs the risk map 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 including information according to the number of risks at each point (road, intersection, building, 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 DB 110 is composed of storage devices such as non-volatile memory, HDD (Hard Disk Drive) and / or SSD (Solid State Drive), and stores various types of prediction data used for risk prediction in the risk map display device 10. FIG. 2 is a diagram showing an example of prediction data stored in the prediction DB 110. The prediction DB 110 stores multiple pieces of prediction data for each risk type at each point on the map. The risk types correspond to the types of risk in 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 the risk types may include other risks or may be further subdivided.

[0029] As shown in FIG. 2, traffic risk prediction data includes road shape at each point (road), traffic volume at each road / 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. Crime risk prediction data includes daytime / nighttime population, traffic volume, age distribution, zoning, type of building / facility, distance from police box, distance from school, etc. Wind and flood disaster risk prediction data includes nearby water source information, elevation, road gradient, etc. Fire risk prediction data includes zoning, type of building / facility, road width, housing density, etc. Note that the items in the prediction data shown in FIG. 2 are examples, and other items may be included. The items in the prediction data may be items used as training data by the risk map display device 10 during machine learning.

[0030] The risk map display device 10 may have components other than the functional units shown in FIG.

[0031] 3 is a diagram showing an example of the hardware configuration of the risk map display device 10. The risk map display device 10 has a processor 11 such as a CPU (Central Processing Unit) or GPU (Graphical processing unit), a storage device 12 such as a memory, HDD and / or SSD, a communication interface 13 for wired or wireless communication, an input device 14 for accepting 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, etc. The output device 15 is, for example, a display and / or a speaker, etc.

[0032] The processor 11 reads a program stored in the storage device 12, and operates as the various functional units shown in FIG.

[0033] The risk map display device 10 may be configured with one or more general-purpose information processing devices such as a mainframe, a workstation, or a personal computer (PC), or may be a dedicated device. The risk map display device 10 may also be configured using a virtual information processing device that operates on a hypervisor, or may be configured using an information processing device that uses container virtualization, or may be configured using a cloud server.

[0034] Next, the operation of the risk map display device 10 will be described. Fig. 4 is a flowchart showing an example of a risk map display process executed by the risk map display device 10. The risk map display process is a process for generating and displaying a risk map of a selected risk type for a specified area (such as a displayed map) in response to a user operation, and corresponds to a risk map display method. The risk map display process is started, for example, in response to a user operation to activate a risk map display function in 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 of an area specified in response to a user operation (step S11). Then, the processor 11 displays a map corresponding to the acquired map data (step S12). Note that the map that is initially displayed may be predetermined, or may be displayed based on the position information of the risk map display device 10.

[0036] 5 and 6 show examples of screen display when the risk map display device 10 displays a risk map. Note that the screens shown in Fig. 5 and Fig. 6 are examples displayed on a display 50 serving as an output device 15 of the risk map display device 10. The risk map display device 10 also accepts user operations via a mouse and keyboard serving as an input device 14.

[0037] FIG. 5(A) shows the top screen of the risk map display device 10 when the user activates the risk map display function. The risk map display function of the risk map display device 10 can be activated by the user activating a dedicated application, for example. The screen for the risk map display function in this embodiment is divided into left and right halves. As shown in FIG. 5(A), the top screen displays a map 51 on the left screen, and a menu 52 for selecting a risk type on the right screen. Additionally, multiple tabs are displayed above the map 51 and menu 52 (at the top of the left and right screens), and FIG. 5(A) shows the state in which the "TOP" tab corresponding to the top screen is selected. When the user selects a tab by operating the mouse, for example, the screen transitions to the screen corresponding to the tab.

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

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

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

[0041] If the user performs an operation to select 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 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 risks 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, when "traffic" is selected as a risk type in menu 52 on the top screen shown in Fig. 5(A), processor 11 acquires prediction data for the risk of "traffic" (for example, information such as road shape and traffic volume as shown in Fig. 2) in step S14. Then, in step S15, processor 11 predicts the risk, i.e., the number of traffic accidents, within a predetermined period on map 51 displayed on the top screen 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 superimposing risk information corresponding to the predicted number of risk occurrences on a map of the area specified by the user (step S16).

[0045] FIG. 5(B) shows an example of a display of a risk map (detail screen). When "Traffic" is selected as the risk type on the top screen shown in FIG. 5(A), the screen switches to the "Detail Screen" tab, and a risk map 51A is displayed on the left screen, as shown in FIG. 5(B). When a user selects a road or intersection on the risk map 51A by clicking or the like, detailed information 53 of the selected point is displayed on the right screen. FIG. 5(B) shows an example in which an intersection c1 on the risk map 51A is selected, and detailed information 53 of the intersection c1 is displayed on the right screen. The detailed information 53 includes at least a predicted result of the number of risk occurrences at the point ("Expected Number of Accidents" in FIG. 5(B)). In FIG. 5(B), the detailed information 53 includes an identification number, a type, and the like. The detailed information 53 may include, for example, various information about the point (for example, at least a portion of the information included in the prediction data). In this way, the risk map display device 10 can display detailed information about a point specified by the user, including at least a predicted result of the number of risk occurrences. This allows information to be provided to the user in a suitable manner.

[0046] Furthermore, in the risk map 51A shown in FIG. 5(B), roads are displayed in different colors according to the risk of accidents. For example, the darker the color of the road, the higher the risk of accidents (the predicted number of accidents). Furthermore, intersections with a high risk of accidents are indicated with danger marks. By displaying such a risk map 51A, it is possible to alert the user. Note that the display method and display mode of the risk map may be any display method and display mode that can suitably display the number of risk occurrences predicted by the risk map display device 10.

[0047] After displaying the risk map in step S16, the processor 11 displays a screen for setting a new installation corresponding to the selected risk type and the specified map data (step S17). For example, the type of new installation for each risk type and type of point on the map data (whether the specified point is an intersection or a road, etc.) is pre-stored in the storage device 12. In step S17, the processor 11 (setting unit 104) reads out the type of new installation corresponding to the risk type and map data from the storage device 12 and displays it.

[0048] Furthermore, the processor 11 displays a screen for setting parameters according to the selected risk type (step S18). For example, the types of parameters that can be set for each risk type are stored in advance in the storage device 12. In step S18, the processor 11 (setting unit 104) reads out the types of parameters according to the risk type from the storage device 12 and displays them.

[0049] The displays made in steps S17 and S18 are displays for performing simulations for risk reduction, etc. on the risk map. The "display for setting a new installation" displayed in step S17 is a display for simulating the number of risks when a specific installation (e.g., a traffic light, etc.) for reducing risk is newly installed at a point selected on the risk map. Furthermore, the "display for setting parameters" displayed in step S18 is a display for simulating the number of risks when a parameter (e.g., a 20% reduction in traffic volume) of a point selected on the risk map is directly changed without specifying a means.

[0050] In step S17, the installations displayed, i.e., the installations that can be set, vary depending on the point selected on the risk map. For example, in the case of a risk map for traffic accidents, the installations that can be set vary depending on whether the selected point is a road or an intersection. The types of installations that can be set depending on whether the selected point is a road or an intersection may be predetermined. For example, in the case of a road (single road), it is possible to set new installations such as speed limits (including zone 30, etc.), new lanes, one-way streets, no parking or stopping, and road bumps. In addition, in the case of an intersection, it is possible to set new installations such as guardrails, crosswalks, road bumps, traffic lights, convex mirrors, and dedicated right- and left-turn lanes at the selected intersection. Note that installations common to both roads and intersections may be included. In this way, the installations that can be set vary depending on whether the selected point is a road or an intersection, and in step S17, new installations are displayed depending on whether the selected point is a road or an intersection, thereby improving the convenience of the user's simulation operation.

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

[0052] In steps S17 and S18, it is sufficient to display a screen for setting new installations and parameters according to the risk type. For example, the new installations and parameters that can be set may correspond to or be related to the prediction data according to the risk type, as shown in FIG. 2. For example, if the risk type is crime, it is sufficient to be able to set new installations such as police stations, surveillance cameras, and signs. Furthermore, it is sufficient to be able to set parameters such as the surrounding daytime and nighttime population, traffic volume, age distribution, zoning, types of surrounding buildings, and distance from police stations and schools. If the risk type is wind and flood damage, it is sufficient to be able to set the elevation, road gradient, distance from water sources, zoning, past zoning, surrounding facilities, etc. If the risk type is fire, it is sufficient to be able to set the zoning, surrounding facilities, road width, housing density, fire stations, fire hydrants, etc.

[0053] Fig. 6(A) shows an example of a display of a simulation screen. When the "Simulation" tab is selected on the detailed screen shown in Fig. 5(B), a condition setting item 54 is displayed on the right screen as shown in Fig. 6(A). The condition setting item 54 displays information corresponding to the processing of steps S17 and S18. That is, in this display example, when the "Simulation" tab is selected, content corresponding to steps S17 and S18 is displayed, and the screen becomes one in which the user can perform a simulation by setting new installations and parameters.

[0054] FIG. 6(A) shows an example in which intersection c1 on risk map 51A is selected, and the condition setting item 54 for intersection c1 is displayed on the screen on the right. Information about the selected point (identification number, type, expected number of accidents) is automatically displayed in condition setting item 54. Then, "guardrail," "crosswalk," "bump," and "traffic light" are displayed as options that can be set as new installations. Note that these options may automatically display items that have not yet been installed at the selected point. Also, an option (pull-down menu) for "reducing traffic volume by 20%" is displayed as a parameter. The parameter may be changed by operating the pull-down menu, and the value or parameter to be set may be changed. Note that the parameters are assumed to be parameters for reducing risk.

[0055] Furthermore, a location where conditions such as installations and parameters are set can be added in the condition setting item 54. Furthermore, a plurality of installations and parameters may be set at each location.

[0056] After the process of 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 or a 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 item (step S20). In step S20, for example, if a new installation is set, the number of risk occurrences is re-predicted based on map data to which the new installation has been applied to the map data of the map currently being displayed. Also, for example, if a parameter is set, the number of risk occurrences is re-predicted based on prediction data in which the parameter has been changed according to the setting.

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

[0059] After the installations and parameters for each location have been set on the simulation screen shown in Figure 6(A), when the "Run Simulation" button is pressed, a risk map according to the set items is displayed on the left screen, and the number of risks (number of accidents) 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 number of expected accidents and the number of accidents after countermeasures (simulation results) are displayed together for the same location, making it easy to verify risk reduction.

[0060] After executing the processing of step S21 or if no installation or parameter is set (step S19; No), the processor 11 determines whether the user has performed an operation to terminate the risk map display function on the risk map display device 10 (step S22).

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

[0062] As described above, the risk map display device 10 of this embodiment can predict risks in a specified area and display a risk map in which risk information corresponding to the predicted risks (information according 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 due to concerns about protecting personal information. The risk map display device 10 displays risk information predicted using a trained model (AI), and can therefore appropriately predict risks and display a risk map corresponding to the predicted risks.

[0063] Although not illustrated in FIG. 4, when the risk map display function of the risk map display device 10 is activated and the "Compare" tab is selected while the risk map 51A is displayed, the left screen (G) is split into two as shown in FIG. 6B, transitioning to a comparison screen that can display multiple risk maps 51B and 51C for different time periods. When the user selects a road or intersection on the risk map 51B or 51C by clicking or the like, comparison information 55 for the selected point is displayed on the right screen. The comparison information 55 includes at least the predicted number of risk occurrences at the point in each time period. This allows the user to compare and view the number of risk occurrences at the same point in different time periods. The comparison information 55 may include, for example, various information about the point (e.g., information about the point). The comparison screen may also be configured to display a risk map (simulation result) after setting installations and parameters in the same area and a risk map before the setting. The comparison screen may also be configured to display multiple risk maps with different set conditions.

[0064] When the "Settings" tab is selected on the screens shown in FIGS. 5 and 6, the screen may transition to a setting screen related to the risk map display function.

[0065] Note that the display examples of the risk map display function shown in Figures 5 and 6 are just examples, and the screen design can be changed as desired as long as it can display a risk map in response to user operations and run a simulation with new installations and items to be reduced.

[0066] (Variation) The present invention is not limited to the above-described embodiment, and various modifications and applications are possible. For example, some of the above-described embodiments may be omitted or replaced, or any configuration may 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 risk map of traffic accidents as the risk map, but even if another risk type is selected, the risk map display device 10 can display a risk map, simulation screen, comparison screen, etc. according to the selected risk.

[0068] Furthermore, in the above embodiment, an example was assumed in which a user directly operates the risk map display device 10 to display the risk map, but the user may 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 operations on the user's terminal. Furthermore, 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 realized using a normal computer, rather than a dedicated device. For example, the risk map display device 10 that executes the above-described processes may be configured by installing a program for executing the above-described functions on a computer from a recording medium that stores the program. Also, one risk map display device 10 may be configured by multiple computers operating in cooperation with each other.

[0070] The method for supplying the program to the computer is arbitrary, and may be, for example, via a communication line, a communication network, a communication system, or the like.

[0071] Furthermore, if an OS (Operating System) provides some of the above functions, the functions other than those provided by the OS may be provided by a program.

[0072] The above-described embodiments are intended to facilitate understanding of the present invention and are not intended to limit the present invention. The flowcharts, sequences, elements included in the embodiments, and their arrangements, materials, conditions, shapes, sizes, etc., described in the embodiments are not limited to those illustrated and can be modified as appropriate. Furthermore, configurations shown in different embodiments can be partially substituted or combined with each other. [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 predetermined 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; a setting unit capable of setting a new installation object at a predetermined point on the risk map, the prediction unit is capable of predicting the number of occurrences of risks in the specified area within a specified period of time, the risk map display unit displays the risk map including information according to the number of occurrences of the risks predicted by the prediction unit; The installation object that can be set by the setting unit varies depending on whether the predetermined point is a road portion or an intersection portion, The installations that can be set in the road section include speed limit areas, new lanes, one-way streets, no parking areas, and bumps. The installations that can be set at the intersection include guardrails, crosswalks, bumps, traffic lights, convex mirrors, and dedicated right and left turn lanes. Risk map display device.

2. When a new installation object is set by the setting unit, the prediction unit re-predicts a risk according to the installation set by the setting unit, The risk map display unit is capable of displaying a risk map according to the installation set by the setting unit. The risk map display device according to claim 1 .

3. a parameter setting unit capable of setting parameters for reducing accidents at predetermined points on the risk map; 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 is capable of displaying a risk map according to the parameters set by the parameter setting unit. The risk map display device according to claim 1 .

4. The risk map display device Predicting traffic risks in a given area; displaying a risk map in which risk information corresponding to the predicted risk is superimposed on map information; A new installation can be set at a predetermined point on the risk map, The number of risk occurrences in the specified area within a specified period of time can be predicted, displaying the risk map including information according to the number of occurrences of the predicted risks; The installation objects that can be set vary depending on whether the predetermined point is a road portion or an intersection portion, The installations that can be set in the road section include speed limit areas, new lanes, one-way streets, no parking areas, and bumps. The installations that can be set at the intersection include guardrails, crosswalks, bumps, traffic lights, convex mirrors, and dedicated right and left turn lanes. How to display a risk map.

5. Computer, a prediction unit that predicts traffic risks in a predetermined 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; a setting unit that can set a new installation at a predetermined point on the risk map; the prediction unit is capable of predicting the number of occurrences of risks in the specified area within a specified period of time, the risk map display unit displays the risk map including information according to the number of occurrences of the risks predicted by the prediction unit; The installation object that can be set by the setting unit varies depending on whether the predetermined point is a road portion or an intersection portion, The installations that can be set in the road section include speed limit areas, new lanes, one-way streets, no parking areas, and bumps. The installations that can be set at the intersection include guardrails, crosswalks, bumps, traffic lights, convex mirrors, and dedicated right and left turn lanes. program.

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