WO2023013449A1 - Information processing device, display terminal, information processing method, and display method - Google Patents

Information processing device, display terminal, information processing method, and display method Download PDF

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Publication number
WO2023013449A1
WO2023013449A1 PCT/JP2022/028532 JP2022028532W WO2023013449A1 WO 2023013449 A1 WO2023013449 A1 WO 2023013449A1 JP 2022028532 W JP2022028532 W JP 2022028532W WO 2023013449 A1 WO2023013449 A1 WO 2023013449A1
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Prior art keywords
information
measurement
planning
evaluation level
range
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PCT/JP2022/028532
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French (fr)
Japanese (ja)
Inventor
崇徳 馬場
匠 田辺
将之 吉川
弘和 河本
裕忠 柳沼
Original Assignee
パナソニックＩｐマネジメント株式会社
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Priority to JP2023540262A priority Critical patent/JPWO2023013449A1/ja
Publication of WO2023013449A1 publication Critical patent/WO2023013449A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled

Definitions

  • the present disclosure relates to an information processing device, a display terminal, an information processing method, and a display method.
  • “smart planning” may be a mode of collecting behavior data of moving objects such as pedestrians and vehicles, a mode of visualizing behavior data, or a mode of simulating behavior. There may be one, or a combination of these may be used.
  • the problem to be solved by this disclosure is to support data measurement to realize smart planning.
  • An information processing apparatus includes an acquisition unit, a storage unit, and a calculation unit.
  • the acquisition unit acquires plan information including at least a plan range in which smart planning is planned to be implemented.
  • the storage unit stores measurement information including attribute information indicating measurable action data and arrangement location information indicating characteristics of a measurement location, regarding at least one measuring means for measuring action data for each attribute of a mobile object. Store.
  • the calculation unit calculates an evaluation level for evaluating feasible smart planning when the action data is measured by the measurement means at the measurement location included in the planning range, and calculates the evaluation level for evaluating the smart planning. Output supporting information to indicate the evaluation level in the range.
  • FIG. 1 is a block diagram illustrating an example configuration of a support system according to an embodiment.
  • FIG. 2 is a block diagram illustrating an example of the hardware configuration of the support system according to the embodiment;
  • FIG. 3 is a diagram illustrating an example of sensor information according to the embodiment;
  • FIG. 4 is a diagram illustrating an example of sensor location information according to the embodiment;
  • FIG. 5 is a diagram illustrating an example of evaluation level information according to the embodiment;
  • FIG. 6 is a diagram illustrating an example of evaluation level information according to the embodiment;
  • FIG. 7 is a diagram showing another example of evaluation level information according to the embodiment.
  • FIG. 8 is a flowchart illustrating an example of support processing executed by the support system according to the embodiment;
  • FIG. 8 is a flowchart illustrating an example of support processing executed by the support system according to the embodiment;
  • FIG. 8 is a flowchart illustrating an example of support processing executed by the support system according to the embodiment;
  • FIG. 8 is a flowchart
  • FIG. 9 is a diagram illustrating an example of a display screen displayed in support processing according to the embodiment.
  • FIG. 10 is a diagram illustrating an example of a display screen displayed in support processing according to the embodiment.
  • FIG. 11 is a diagram illustrating another example of a display screen displayed in support processing according to the embodiment.
  • FIG. 12 is a diagram illustrating another example of the display screen displayed in the support processing according to the embodiment;
  • FIG. 1 is a block diagram showing an example of the configuration of the support system 1 according to the embodiment.
  • the support system 1 according to the embodiment is a system that executes support processing that supports data measurement for implementing smart planning.
  • “smart planning” refers to, for example, considering the location of facilities and the construction of circulation lines that simultaneously optimize the convenience of users and the business activities of businesses, based on behavioral data for each attribute of a person. It is a planning method of city planning by migratory behavior simulation for the purpose.
  • “smart planning” may be a mode of collecting behavior data, a mode of visualizing behavior data, or a mode of simulating behavior. However, it may be a mode in which these are combined.
  • the behavior data is, for example, data for each attribute of a moving object such as a pedestrian or a vehicle, and is data including flow rate and attribute data related to the moving object.
  • Various types of data such as the flow of people and vehicles, speed of movement, direction of movement, distance of movement, residence time, frequency of movement and residence, facial expressions and actions of people can be used as action data.
  • the behavior data to be used may be selected according to, for example, the purpose of smart planning and required accuracy.
  • the support system 1 is composed of a single device that executes support processing.
  • a personal computer (PC) or the like can be appropriately used as the device.
  • the support system 1 includes, for example, a storage unit 3, an input unit 5, an evaluation level calculation unit 7, and a display unit 9, as shown in FIG.
  • the support system 1 is an example of an information processing device that outputs evaluation level information as support information according to the plan information based on the sensor information 31 and the sensor location information 32 .
  • the support system 1 is an example of a display terminal that displays evaluation level information 33 as support information.
  • the support system 1 is composed of a plurality of devices that distribute and execute support processing.
  • the support system 1 is a server-client system including at least one information processing device 1a as a server device and at least one display terminal 1b as a client device, as indicated by a dashed frame in FIG. can be built.
  • the information processing device 1a implements, for example, the storage unit 3 and the evaluation level calculation unit 7.
  • the information processing device 1a may further implement the input unit 5, for example.
  • the information processing device 1a outputs evaluation level information as support information according to the plan information based on the sensor information 31 and the sensor location information 32.
  • FIG. 1a As the information processing device 1a, a server device, a PC, or the like can be used as appropriate.
  • the display terminal 1b implements the input unit 5 and the display unit 9, for example. In the support process, the display terminal displays the evaluation level information 33 as support information output from the information processing device 1a.
  • the display terminal 1b may further be partially or wholly implemented in the storage unit 3, for example.
  • a smart phone, a tablet PC, or the like can be used as appropriate.
  • the information processing device 1a and the display terminal 1b are communicably connected via a network.
  • a network for example, an electric communication line such as the Internet can be used.
  • the display terminal 1b can also be configured as a display device.
  • the input unit 5 may be realized by the information processing device 1a instead of the display terminal 1b.
  • the support system 1 configured by a single information processing device that executes support processing is exemplified.
  • FIG. 2 is a block diagram showing an example of the hardware configuration of the support system 1 according to the embodiment.
  • the information processing apparatus as the support system 1 has a processor 11, a memory 12, a communication circuit 13, a display 14 and a touch panel 15, as shown in FIG.
  • the processor 11 , memory 12 , communication circuit 13 , display 14 and touch panel 15 are communicably connected via a bus 19 , for example.
  • each of at least one information processing device has the same configuration as the processor 11, memory 12, and communication circuit 13.
  • each of at least one information processing device may further have the same configuration as the display 14 and the touch panel 15 .
  • each of at least one display terminal has the same configuration as the processor 11 , memory 12 , communication circuit 13 , display 14 and touch panel 15 .
  • the processor 11 controls the overall operation of the support system 1.
  • the processor 11 implements functions as the storage unit 3 , the input unit 5 , the evaluation level calculation unit 7 and the display unit 9 by executing the support program loaded in the RAM of the memory 12 .
  • various processors such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an ASIC (Application Specific Integrated Circuit), and an FPGA (Field Programmable Gate Array) can be used as appropriate.
  • the memory 12 stores various data and programs used by the support system 1.
  • the memory 12 implements the storage unit 3 under the control of the processor 11 .
  • the data stored in the memory 12 includes planning information, sensor information 31, sensor location information 32, evaluation level information 33 and map information 34.
  • the programs stored in the memory 12 include support programs for realizing support processing by being executed by the processor 11 .
  • the support processing includes information processing for outputting support information based on plan information, and display processing for displaying the output support information.
  • various storage media and storage devices such as ROM (Read Only Memory), HDD (Hard Disk Drive), SSD (Solid State Drive), and Flash memory can be used as appropriate.
  • the memory 12 is further provided with a RAM (Random Access Memory) for temporarily storing working data.
  • the communication circuit 13 is a circuit for communicating with the outside of the support system 1 via a network. Note that when the support system 1 is constructed as a server-client type system, the communication circuit 13 provides communication between any of at least one information processing device and at least one display terminal via a network. It is a circuit for realizing communication. In this case, the communication circuit 13 realizes the input unit 5 in the information processing device 1a under the control of the processor 11.
  • FIG. 13 As the communication circuit 13, a communication circuit for wired communication, a communication circuit for wireless communication, and a combination thereof can be used as appropriate.
  • communication circuits for wireless communication communication circuits compatible with various standards such as 3G, 4G, 5G, Wi-Fi (registered trademark), and Bluetooth (registered trademark) can be used as appropriate.
  • the display 14 presents a display screen to the user.
  • the display 14 implements the display section 9 under the control of the processor 11 .
  • a liquid crystal display, an organic EL display, a projector, or the like can be used as appropriate.
  • the touch panel 15 accepts user input.
  • the touch panel 15 is provided, for example, on the surface of the display 14 and outputs information according to the touched position.
  • the support system 1 is not limited to the touch panel 15, and may have other input devices (input unit 5) such as a keyboard.
  • the support system 1 may further include a microphone (input unit 5) that receives voice input from the user and a speaker or the like (presentation unit) that outputs voice according to voice data.
  • the plan information may be input by voice, and the content of the display screen showing the support information may be presented to the user by voice.
  • the support system 1 stores at least one of sensor information 31, sensor location information 32, evaluation level information 33, and map information 34 via a computer-readable recording medium or a portable external storage device. It may be configured so that the database in which it is stored can be accessed.
  • a computer-readable recording medium for example, a CD-ROM, a flexible disk (FD), a CD-R, a DVD (Digital Versatile Disk), etc. can be used as appropriate.
  • a portable external storage device an HDD, an SSD, a flash memory, or the like can be used as appropriate.
  • the storage unit 3 stores sensor information 31, sensor location information 32, evaluation level information 33, and map information 34.
  • the database that stores the sensor information 31, the database that stores the sensor location information 32, the database that stores the evaluation level information 33, and the database that stores the map information 34 may be configured as one database. Alternatively, it may be configured as a plurality of databases.
  • the sensor information 31 and the sensor location information 32 are information included in the measurement information.
  • the measurement information is information about at least one measurement means that has measured the behavior data in advance, and includes measurement conditions and measured data.
  • the measurement conditions include a measurement point (measurement location), measurement date and time such as weather and day of the week, and type of measurement means.
  • Types of measurement means may include, for example, hand measurement, camera performance A, camera performance B, Wi-Fi (registered trademark) spot, ETC 2.0 receiver, and the like.
  • a Wi-Fi spot is a place where a public wireless LAN service that allows wireless connection to an electric communication line such as the Internet is provided.
  • the public wireless LAN is not limited to Wi-Fi, and other wireless communication may be used.
  • FIG. 3 is a diagram showing an example of sensor information 31 according to the embodiment.
  • the sensor information 31 is an example of attribute information indicating measurable action data regarding at least one measuring means for measuring action data for each attribute of a moving object.
  • the mobile means at least one of people and vehicles such as bicycles and automobiles that transport people.
  • the sensor information 31 includes, for each measuring means, the measurable range, whether or not measurement is possible after sunset, whether or not measurement is possible under backlight, whether or not traffic volume measurement is possible, whether or not gender identification is possible, and the mobile mode. This is information including at least one of identification propriety, smile identification propriety, and companion identification propriety.
  • FIG. 4 is a diagram showing an example of sensor location information 32 according to the embodiment.
  • the sensor placement location information 32 is an example of placement location information indicating characteristics of the measurement location.
  • the sensor placement location information 32 includes, for each measurement location, whether measurement is possible by means of measurement, the degree of influence of weather on measurement, the degree of influence of surrounding buildings on measurement, and the degree of influence of time on measurement. It is information including at least one of
  • FIG. 5 is a diagram showing an example of the evaluation level information 33 according to the embodiment.
  • the evaluation level information 33 is an example of information for evaluating smart planning that can be realized when behavior data is measured by the measuring means at the measurement locations included in the planning range, which is calculated based on the measurement information.
  • the planning range is the range in which the execution of smart planning is planned.
  • the planned area is the area on the map where smart planning is planned to be implemented.
  • the planning range is information that defines the range in which smart planning is planned to be implemented, and is information that indicates a range such as a name or place name, or a range such as a distance from a specific position.
  • the evaluation level information 33 is information indicating the degree of smart planning for at least one item that can be evaluated by the feasible smart planning.
  • the evaluation level information 33 is information indicating with what degree of accuracy smart planning is possible by using the measurement information. Calculation of the evaluation level information 33 will be described later.
  • the map information 34 is map data such as mesh maps and road network maps.
  • the map information 34 includes road network structure data.
  • the road network structure data is not limited to network structure data related to roads on which vehicles such as automobiles travel.
  • the road network structure data can be network structure data related to movement routes for people and various mobile objects, such as bicycle lanes and sidewalks attached to the roads, passages provided in arcades such as shopping streets.
  • the input unit 5 accepts a user's operation input.
  • the input unit 5 is an example of an acquisition unit that acquires plan information including at least a plan range.
  • the plan information is not limited to the plan range, and includes information on various city plans.
  • plan information includes the current status and plans of buildings, roads, shops, stations, bus stops, etc., business hours of shops and facilities, event information, target seasons, dates and times, days of the week, weather, population distribution, and other information.
  • the evaluation level calculation unit 7 calculates evaluation level information 33 for evaluating realizable smart planning when action data is measured by the measurement means at the measurement locations included in the planning range.
  • the evaluation level calculator 7 is an example of a calculator.
  • the evaluation level calculation unit 7 calculates measurement conditions such as the measurement point, date and time, and measurement means, road network structure data, data on the field of view from the measurement point, blind spots and shade caused by obstacles such as buildings,
  • the evaluation level information 33 is calculated by appropriately matching the sunshine data such as backlight.
  • the evaluation level calculation unit 7 uses parameters based on the measurement information, the sensor information 31, and the sensor location information 32 to evaluate each location on the map included in the planning range by smart planning. Calculate which of at least one item it belongs to.
  • the parameters based on the measurement information, the sensor information 31, and the sensor arrangement location information 32 are, for example, whether or not the traffic volume evaluation of the mobile body is possible, whether or not the OD evaluation of the mobile body is possible, whether or not the stay time evaluation of the mobile body is possible, Whether or not the gender and age of a person can be identified, whether or not pedestrian diversity can be identified, such as the smile rate and presence or absence of companions, and whether the mobile object is a pedestrian, a bicycle, or a car, etc. Whether or not identification is possible, measurable weather, days of the week, time zones, etc. can be used as appropriate.
  • At least one item that can be evaluated by smart planning is, for example, an area where traffic volume can be evaluated, an area where a pedestrian's smile can be identified, an area where a passerby's gender can be identified, an area where a companion can be identified, a mobile body It is at least one of an area in which mode identification is possible, an area in which measurement is possible after sunset, and an area in which trajectory tracking (OD evaluation) of a moving object is possible.
  • the evaluation level calculation unit 7 compares the measurement conditions with the road network structure data to calculate the value of the parameter indicating whether or not the OD evaluation of the moving object is possible at each location, and calculates the OD evaluation of the moving object. Calculate whether or not it belongs to a possible area.
  • the evaluation level calculation unit 7 calculates the value of the evaluation level information 33 by weighted addition of at least one item that can be evaluated by smart planning.
  • the weight of each item is input as part of the plan information by, for example, a city planner using smart planning.
  • the weight of each item is determined according to the purpose of city planning sought by the planner. can be set as appropriate.
  • the evaluation level information 33 may be calculated probabilistically.
  • the evaluation level calculation unit 7 calculates evaluation level information 33 as a comprehensive evaluation of the entire planning range, as shown in FIG. As another example, the evaluation level calculator 7 calculates evaluation level information 33 for each location within the planning range, as shown in FIG. 5, for example. The evaluation level calculation unit 7 also outputs the calculated evaluation level information 33 as support information for showing on the map.
  • FIG. 6 is a diagram showing an example of evaluation level information 33 as support information according to the embodiment.
  • the evaluation level calculation unit 7 outputs two-dimensional matrix-like evaluation level information 33 for each of a plurality of areas obtained by dividing the planning range as support information for showing on a map.
  • the map information 34 is a mesh map
  • each of the plurality of areas corresponds to each of the plurality of meshes within the planned range of the mesh map.
  • the map information 34 is a three-dimensional mesh map
  • the evaluation level information 33 is calculated for each of a plurality of three-dimensionally arranged meshes.
  • FIG. 7 is a diagram showing another example of the evaluation level information 33 as support information according to the embodiment.
  • the evaluation level calculation unit 7 calculates the evaluation level information 33 along the two-dimensional structure of the road network for each of a plurality of areas along the road network structure corresponding to the planning range on the map. Output as support information for indicating in .
  • the map information 34 is a road network map
  • each of the plurality of areas corresponds to each of the plurality of nodes within the planned range of the network map.
  • the map information 34 is a three-dimensional road network map
  • the evaluation level information 33 will be calculated for each of a plurality of nodes arranged three-dimensionally.
  • the evaluation level calculation unit 7 calculates the degree of contribution to the evaluation level information 33 for each measuring means, and outputs the calculated degree of contribution as support information. Specifically, the evaluation level calculation unit 7 proportionally calculates how much the measurement information related to each measuring means contributes to the increase in the value of the evaluation level information 33, thereby obtaining the evaluation level information 33 for each measurement information. Calculate the contribution to the increase in the value of
  • the display unit 9 displays a display screen in which the evaluation level information 33 is superimposed on the map based on the support information output by the evaluation level calculation unit 7.
  • the display screen will be described later.
  • FIG. 8 is a flowchart showing an example of support processing executed by the support system 1 according to the embodiment.
  • 9 and 10 are diagrams each showing an example of a display screen displayed in the support process according to the embodiment.
  • FIG. 8 the flow of FIG. 8 is started with the sensor information 31 and the sensor location information 32 stored in the storage unit 3 .
  • the input unit 5 accepts input of plan information by the user. Also, the evaluation level calculation unit 7 acquires the plan information from the input unit 5 (S101).
  • the evaluation level calculation unit 7 acquires the sensor information 31 corresponding to the plan range included in the plan information from the storage unit 3 (S102).
  • the evaluation level calculation unit 7 acquires sensor placement location information corresponding to the planning range included in the planning information from the storage unit 3 (S103).
  • the evaluation level calculation unit 7 outputs to the display unit 9 the map information 34 corresponding to the planned range and the information indicating the type of measuring means that measured the existing measurement data and the measurement location.
  • the display unit 9 displays a display screen 910 in which icons indicating measuring means that have measured the existing measurement data are superimposed on a map corresponding to the planned range.
  • existing a, existing b, and existing c indicate the presence of existing measurement data obtained by manual traffic survey.
  • existing d and existing e indicate the presence of existing measurement data obtained by camera measurement. For example, when the camera performance and installation environment are different, different icons may be displayed as indicated by existing d and existing e in FIG. 9 .
  • the evaluation level calculator 7 calculates the evaluation level information 33 based on the plan information, the sensor information 31 and the sensor location information 32 (S104).
  • the evaluation level calculation unit 7 visualizes the evaluation level (S105). Specifically, the evaluation level calculation section 7 outputs the evaluation level information 33 indicating the calculated evaluation level to the display section 9 . As shown in FIG. 10, the display unit 9 displays a display screen 920 in which the evaluation level information 33 is superimposed on a map corresponding to the planned range. As indicated by diagonal hatching in FIG. 10 , on the display screen 920 , the evaluation level information 33 is superimposed on the map and an area in which traffic volume can be evaluated is displayed.
  • the support system 1 based on the measurement information, sets the evaluation level information 33 for evaluating smart planning that can be realized when action data is measured by the measurement means at the measurement locations included in the planning range. It calculates and outputs support information for showing the calculated evaluation level information 33 on a map.
  • identifiable moving body attributes such as the evaluable geographic range and time period, the passerby's sex and expression, and the movement mode can be displayed as the evaluation level information 33 on the map. Therefore, the user can easily grasp how much smart planning is possible using the existing measurement data.
  • the support system 1 according to the embodiment displays on the map the content that enables smart planning by utilizing existing measurement data, the user can easily determine whether or not additional measurement is necessary. Therefore, according to the support system 1 according to the embodiment, it is possible to support data measurement for realizing smart planning.
  • the measurement information is not limited to information about at least one measuring means that has measured the behavior data in advance, and may be information about at least one measuring means that is scheduled to measure the behavior data.
  • the support system 1 according to the embodiment may visualize changes in the evaluation level information 33 due to additional measurements.
  • the input unit 5 further receives user input of additional candidate measurement information.
  • the evaluation level calculator 7 calculates the evaluation level information 33 based on the measurement information of the additional candidates, and outputs the evaluation level information 33 to the display unit 9 .
  • the evaluation level is updated and visualized in consideration of the additional measurement information, so that the user can easily determine whether additional measurement is necessary.
  • the input unit 5 further receives information indicating items to be evaluated in smart planning and constraints as plan information.
  • the information indicating an item to be evaluated in smart planning is an item selected by the user according to the purpose of urban planning from at least one item that can be evaluated by smart planning, and the evaluation level to be maximized. is a parameter. Constraints are, for example, budget restrictions, restrictions on measurement information such as the number of measurement points, measurement dates and times, and measurement means.
  • the evaluation level calculation unit 7 comprehensively calculates the values of the evaluation level information 33 before and after the additional measurement when the additional measurement is performed at the installable place, and the contribution to the value of the evaluation level information 33 regarding the item of the additional candidate.
  • the evaluation level calculation unit 7 determines the recommended measurement means and measurement location according to the degree of contribution of the evaluation target item to the evaluation level information 33, and provides support information for indicating the determined measurement means on the map. Output.
  • FIG. 11 is a diagram showing an example of a display screen 930 displayed in support processing according to the embodiment.
  • FIG. 11 exemplifies a case where an area where passers-by can be identified by gender is selected as an item to be evaluated in smart planning.
  • additional candidate A to D are displayed on the map.
  • the system can also recommend additional candidates for maximizing the evaluation level information 33 . This allows the user to grasp appropriate additional candidates according to the selected evaluation target item.
  • FIG. 12 is a diagram showing an example of a display screen 940 displayed in support processing according to the embodiment.
  • display screen 940 in FIG. 12 is displayed when addition candidate B is selected in display screen 930 in FIG. 11 .
  • display screen 940 includes difference values before and after additional measurement for items that can be evaluated by smart planning. According to this configuration, the user can grasp the effect obtained by the additional measurement, and thus can easily judge whether or not the additional measurement is necessary.
  • the evaluation level calculation unit 7 increases the evaluation level information 33 and determines additional measurement candidates to be recommended based on the optimization calculation for reducing the cost for each of at least one measuring means scheduled to measure behavior data.
  • the storage unit 3 may store in advance a table showing the correspondence between the measurement information and the cost required for measuring the behavior data.
  • the storage unit 3 may store a calculation formula indicating the relationship between the measurement information and the cost required for measuring the behavior data.
  • the calculated cost can be displayed on the display screen 940 as an additional cost, as shown in FIG. This allows the user to grasp the optimum addition candidate from the viewpoint of cost.
  • the display of the additional cost allows the user to easily determine whether or not the additional measurement is necessary.
  • the optimization calculation may be performed so as to minimize the cost while maximizing the evaluation level information 33.
  • the evaluation level calculation unit 7 provides support for indicating on the map measurement locations within the planned range where action data cannot be measured by the measurement means, such as locations where cameras cannot be installed, based on the sensor location information 32. information may be output. Specifically, the evaluation level calculation unit 7 determines whether or not the camera can be installed based on information related to the building structure, the land owner, and other information about the building and land at the installation candidate site, and the information that the user has inspected and photographed at the site. 11 and 12, the display unit 9 superimposes the camera installation prohibited area on the map.
  • the support system 1 can also visualize the evaluation level information 33 regarding additional measurement candidates.
  • the user can easily grasp the content that enables smart planning through additional measurement in addition to utilization of existing measurement data.
  • the support information corresponding to the plan information is displayed on the map.
  • the map showing the support information is not limited to the map data used to generate the support information according to the plan information, such as a mesh map or a road network map.
  • the map to be displayed may be a simple map such as an illustration, as long as the relationship between the geographical elements in the planning range, such as the distribution of evaluation levels, and the support information corresponding to the planning information can be understood.
  • the present invention is not limited to this. It is only necessary to know the relationship between the support information according to the plan information and the geographical elements in the plan range, and the support information can also be displayed as text data.
  • the display unit 9 may display text data such as "The area around the station is evaluated at XX. The evaluation level at the convenience store at night is XX.” .
  • the display of the support information as text data may be performed together with the display on the map, or may be performed instead of the display on the map. Alternatively, the support information may be presented to the user by voice using the text data read-aloud function.
  • the display unit 9 outputs text data for display based on the support information from the evaluation level calculation unit 7. may be generated. Alternatively, text data may be output from the evaluation level calculation unit 7 to the display unit 9 as support information.
  • the program executed by the support system 1 of the present embodiment is recorded in a computer-readable recording medium such as a CD-ROM, FD, CD-R, DVD, etc. as a file in an installable format or an executable format. provided.
  • the program executed by the support system 1 of this embodiment may be stored on a computer connected to a network such as the Internet, and may be provided by being downloaded via the network.
  • the program executed by the support system 1 may be provided or distributed via a network such as the Internet.
  • the program executed by the support system 1 of the present embodiment may be configured to be pre-installed in a ROM or the like and provided.
  • FIG. 1 An information processing device comprising: a computing unit that outputs support information for indicating a planning range for which smart planning is planned to be implemented; a storage unit for storing measurement information including attribute information indicating measurable behavior data and arrangement location information indicating characteristics of a measurement location, relating to at least one measuring means for measuring behavior data for each attribute of a moving body; , Based on the measurement information, an evaluation level for evaluating smart planning that can be realized when the action data is measured by the measuring means at the measurement location included in the planning range is calculated, and the evaluation level in the planning range is calculated.
  • An information processing device comprising: a computing unit that outputs support information for indicating
  • the evaluation level is information indicating the degree of smart planning with respect to at least one item that can be evaluated by smart planning that can be implemented when the action data is measured by the measuring means at the measurement location included in the planning range.
  • the information processing device according to Technology 1 above.
  • the location information includes, as the characteristics, at least one of the following: propriety of measurement by the measuring means, degree of influence on measurement by weather, degree of influence on measurement by surrounding buildings, and degree of influence on measurement by time.
  • the information processing apparatus according to any one of Techniques 1 to 4 above.
  • the attribute information includes measurable range, availability of measurement after sunset, availability of measurement under backlight, availability of traffic measurement, availability of gender identification, availability of mobile mode identification, availability of smile identification, and companion identification.
  • the information processing apparatus according to any one of techniques 1 to 5, including at least one of whether or not to
  • the plan information includes information indicating items to be evaluated in smart planning,
  • the computing unit determines a recommended measurement means and a measurement location according to the degree of contribution of the evaluation target item to the evaluation level, and outputs support information for indicating the measurement location and the measurement means in the planning range.
  • the information processing apparatus according to Technology 9 or Technology 10 above.
  • the storage unit stores a table showing the correspondence between the measurement information and the cost required for measuring the behavior data,
  • the computing unit determines recommended measurement means and measurement locations based on optimization calculations that increase the evaluation level and reduce the cost for each of at least one measurement means scheduled to measure the behavior data,
  • the information processing apparatus according to any one of Techniques 9 to 11, wherein support information for indicating the measurement location and the measurement means in the planning range is output.
  • the measurement information includes information indicating the type of measurement means including at least one of hand measurement, camera performance, public wireless LAN, and ETC 2.0 receiver.
  • the information processing device according to .
  • the planning range is a range on the map where implementation of smart planning is planned,
  • the support information is information for indicating the evaluation level on the map,
  • the information processing apparatus according to any one of Technology 1 to Technology 14 above.
  • (Technology 17) obtaining planning information including at least a planning area for which smart planning is planned to be implemented; storing measurement information including attribute information indicating measurable action data and arrangement location information indicating characteristics of a measurement location, regarding at least one measurement means for measuring action data for each attribute of a moving object; Based on the measurement information, an evaluation level for evaluating smart planning that can be realized when the action data is measured by the measuring means at the measurement location included in the planning range is calculated, and the evaluation level in the planning range is calculated. and outputting supporting information to indicate the information processing method.

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Abstract

An information processing device according to the present disclosure comprises an acquisition unit, a storage unit, and a computation unit. The acquisition unit acquires plan information including at least a planning range over which the implementation of smart planning is planned. The storage unit stores measurement information related to at least one measuring means that measures behavioral data about individual attributes of a moving body, the measuring information including attribute information indicating the behavioral data that can be measured and installation location information indicating properties of measurement locations. On the basis of the measurement information, the computation unit calculates an evaluation level for evaluating smart planning that is achievable if the behavioral data is measured by the measuring means at the measurement locations included in the planning range, and outputs support information for indicating the evaluation level in the planning range.

Description

情報処理装置、表示端末、情報処理方法及び表示方法Information processing device, display terminal, information processing method and display method
　本開示は、情報処理装置、表示端末、情報処理方法及び表示方法に関する。 The present disclosure relates to an information processing device, a display terminal, an information processing method, and a display method.
　近年、例えば人の属性ごとの行動データをもとに、利用者の利便性や事業者の事業活動を同時に最適化する施設立地や回遊動線の構築を検討するための回遊行動シミュレーションによる都市計画の計画手法、すなわちスマートプランニングには需要がある。なお、「スマートプランニング」とは、歩行者や車両等の移動体の行動データを収集する態様であってもよいし、行動データを可視化する態様であってもよいし、行動をシミュレーションする態様であってもよいし、これらを組み合わせた態様であっても構わない。 In recent years, for example, based on behavioral data for each attribute of a person, city planning based on excursion behavior simulation to examine facility location and construction of excursion flow lines that simultaneously optimize user convenience and business activities of business operators There is a demand for a planning method, namely smart planning. In addition, "smart planning" may be a mode of collecting behavior data of moving objects such as pedestrians and vehicles, a mode of visualizing behavior data, or a mode of simulating behavior. There may be one, or a combination of these may be used.
特開２０１６－２００９７３号公報JP 2016-200973 A
　スマートプランニングを行うためには、歩行者や車両等の移動体の行動データとしての流量及び属性データが必要となるが、例えば地方都市においては、スマートプランニングを可能にするだけの既存計測データが存在しない場合があった。スマートプランニングを行うために必要なデータは、例えば手計測による交通量調査やカメラを設置して行うカメラ計測、スマートフォンにより得られる移動軌跡データであるプローブデータの取得などの追加計測により補うことができる。しかしながら、既存計測データによりどの程度のスマートプランニングが可能であるかを把握したり、どの程度の追加計測が必要であるかを把握したりすることは困難であった。 In order to carry out smart planning, flow rate and attribute data as behavior data of moving objects such as pedestrians and vehicles are required. Sometimes I didn't. The data necessary for smart planning can be supplemented by additional measurements such as traffic volume surveys by hand measurements, camera measurements by installing cameras, and acquisition of probe data, which is movement trajectory data obtained by smartphones. . However, it has been difficult to grasp how much smart planning is possible from existing measurement data, or to grasp how much additional measurement is necessary.
　本開示が解決しようとする課題は、スマートプランニングを実現するためのデータ計測を支援することである。 The problem to be solved by this disclosure is to support data measurement to realize smart planning.
　本開示に係る情報処理装置は、取得部と、記憶部と、演算部とを備える。前記取得部は、スマートプランニングの実施を計画している計画範囲を少なくとも含む計画情報を取得する。前記記憶部は、移動体の属性ごとの行動データを計測する少なくとも１つの計測手段に関する、計測可能な前記行動データを示す属性情報と、計測場所の特性を示す配置場所情報とを含む計測情報を格納する。前記演算部は、前記計測情報に基づいて、前記計画範囲に含まれる前記計測場所において前記計測手段により前記行動データを計測する場合に実現可能なスマートプランニングを評価する評価レベルを算出し、前記計画範囲における前記評価レベルを示すための支援情報を出力する。 An information processing apparatus according to the present disclosure includes an acquisition unit, a storage unit, and a calculation unit. The acquisition unit acquires plan information including at least a plan range in which smart planning is planned to be implemented. The storage unit stores measurement information including attribute information indicating measurable action data and arrangement location information indicating characteristics of a measurement location, regarding at least one measuring means for measuring action data for each attribute of a mobile object. Store. Based on the measurement information, the calculation unit calculates an evaluation level for evaluating feasible smart planning when the action data is measured by the measurement means at the measurement location included in the planning range, and calculates the evaluation level for evaluating the smart planning. Output supporting information to indicate the evaluation level in the range.
図１は、実施形態に係る支援システムの構成の一例を示すブロック図である。FIG. 1 is a block diagram illustrating an example configuration of a support system according to an embodiment. 図２は、実施形態に係る支援システムのハードウェア構成の一例を示すブロック図である。FIG. 2 is a block diagram illustrating an example of the hardware configuration of the support system according to the embodiment; 図３は、実施形態に係るセンサ情報の一例を示す図である。FIG. 3 is a diagram illustrating an example of sensor information according to the embodiment; 図４は、実施形態に係るセンサ配置場所情報の一例を示す図である。FIG. 4 is a diagram illustrating an example of sensor location information according to the embodiment; 図５は、実施形態に係る評価レベル情報の一例を示す図である。FIG. 5 is a diagram illustrating an example of evaluation level information according to the embodiment; 図６は、実施形態に係る評価レベル情報の一例を示す図である。FIG. 6 is a diagram illustrating an example of evaluation level information according to the embodiment; 図７は、実施形態に係る評価レベル情報の別の一例を示す図である。FIG. 7 is a diagram showing another example of evaluation level information according to the embodiment. 図８は、実施形態に係る支援システムで実行される支援処理の一例を示すフローチャートである。FIG. 8 is a flowchart illustrating an example of support processing executed by the support system according to the embodiment; 図９は、実施形態に係る支援処理で表示される表示画面の一例を示す図である。FIG. 9 is a diagram illustrating an example of a display screen displayed in support processing according to the embodiment. 図１０は、実施形態に係る支援処理で表示される表示画面の一例を示す図である。FIG. 10 is a diagram illustrating an example of a display screen displayed in support processing according to the embodiment. 図１１は、実施形態に係る支援処理で表示される表示画面の別の一例を示す図である。FIG. 11 is a diagram illustrating another example of a display screen displayed in support processing according to the embodiment. 図１２は、実施形態に係る支援処理で表示される表示画面の別の一例を示す図である。FIG. 12 is a diagram illustrating another example of the display screen displayed in the support processing according to the embodiment;
　以下、図面を参照しながら、本開示に係る情報処理装置、表示端末、情報処理方法及び表示方法の実施形態について説明する。 Hereinafter, embodiments of an information processing device, a display terminal, an information processing method, and a display method according to the present disclosure will be described with reference to the drawings.
　なお、本開示の説明において、既出の図に関して前述したものと同一又は略同一の機能を有する構成要素については、同一符号を付し、説明を適宜省略する場合もある。また、同一又は略同一の部分を表す場合であっても、図面により互いの寸法や比率が異なって表されている場合もある。また、例えば図面の視認性を確保する観点から、各図面の説明において主要な構成要素だけに参照符号を付し、既出の図において前述したものと同一又は略同一の機能を有する構成要素であっても参照符号を付していない場合もある。 It should be noted that, in the description of the present disclosure, components having the same or substantially the same functions as those described above with respect to the previous drawings may be given the same reference numerals, and the description thereof may be omitted as appropriate. Moreover, even when the same or substantially the same parts are shown, they may be shown with different dimensions or proportions depending on the drawing. In addition, for example, from the viewpoint of ensuring the visibility of the drawings, reference numerals are attached only to the main constituent elements in the explanation of each drawing, and constituent elements having the same or substantially the same function as those described above in the previous drawings. In some cases, no reference sign is attached.
　図１は、実施形態に係る支援システム１の構成の一例を示すブロック図である。実施形態に係る支援システム１は、スマートプランニングを実現するためのデータ計測を支援する支援処理を実行するシステムである。ここで、「スマートプランニング」とは、例えば人の属性ごとの行動データをもとに、利用者の利便性や事業者の事業活動を同時に最適化する施設立地や回遊動線の構築を検討するための回遊行動シミュレーションによる都市計画の計画手法である。なお、本実施形態において、「スマートプランニング」とは、行動データを収集する態様であってもよいし、行動データを可視化する態様であってもよいし、行動をシミュレーションする態様であってもよいし、これらを組み合わせた態様であっても構わない。また、本実施形態において、行動データとは、例えば、歩行者や車両等の移動体の属性ごとのデータであり、移動体に関する流量及び属性データを含むデータである。行動データとしては、人流や車流、移動速度、移動方向、移動距離、滞留時間、移動や滞留の頻度、人の表情や動作などの各種データが適宜利用可能である。利用される行動データは、例えばスマートプランニングの目的や要求精度などに応じて選択されても構わない。 FIG. 1 is a block diagram showing an example of the configuration of the support system 1 according to the embodiment. The support system 1 according to the embodiment is a system that executes support processing that supports data measurement for implementing smart planning. Here, "smart planning" refers to, for example, considering the location of facilities and the construction of circulation lines that simultaneously optimize the convenience of users and the business activities of businesses, based on behavioral data for each attribute of a person. It is a planning method of city planning by migratory behavior simulation for the purpose. In the present embodiment, "smart planning" may be a mode of collecting behavior data, a mode of visualizing behavior data, or a mode of simulating behavior. However, it may be a mode in which these are combined. Further, in the present embodiment, the behavior data is, for example, data for each attribute of a moving object such as a pedestrian or a vehicle, and is data including flow rate and attribute data related to the moving object. Various types of data such as the flow of people and vehicles, speed of movement, direction of movement, distance of movement, residence time, frequency of movement and residence, facial expressions and actions of people can be used as action data. The behavior data to be used may be selected according to, for example, the purpose of smart planning and required accuracy.
　一例として、支援システム１は、支援処理を実行する単一の装置により構成されている。当該装置としては、パーソナルコンピュータ（ＰＣ）等が適宜利用可能である。支援システム１は、例えば、図１に示すように、記憶部３、入力部５、評価レベル計算部７及び表示部９を含む。このとき、支援システム１は、センサ情報３１及びセンサ配置場所情報３２に基づき、計画情報に応じた支援情報としての評価レベル情報を出力する情報処理装置の一例である。同様に、支援システム１は、支援情報としての評価レベル情報３３を表示する表示端末の一例である。 As an example, the support system 1 is composed of a single device that executes support processing. A personal computer (PC) or the like can be appropriately used as the device. The support system 1 includes, for example, a storage unit 3, an input unit 5, an evaluation level calculation unit 7, and a display unit 9, as shown in FIG. At this time, the support system 1 is an example of an information processing device that outputs evaluation level information as support information according to the plan information based on the sensor information 31 and the sensor location information 32 . Similarly, the support system 1 is an example of a display terminal that displays evaluation level information 33 as support information.
　別の一例として、支援システム１は、支援処理を分散して実行する複数の装置により構成されている。例えば、支援システム１は、図１に破線枠で示すように、サーバ装置としての少なくとも１つの情報処理装置１ａと、クライアント装置としての少なくとも１つの表示端末１ｂとを含む、サーバクライアント型のシステムとして構築することができる。 As another example, the support system 1 is composed of a plurality of devices that distribute and execute support processing. For example, the support system 1 is a server-client system including at least one information processing device 1a as a server device and at least one display terminal 1b as a client device, as indicated by a dashed frame in FIG. can be built.
　情報処理装置１ａは、例えば、記憶部３及び評価レベル計算部７を実現する。情報処理装置１ａは、例えば、入力部５をさらに実現してもよい。支援処理において情報処理装置１ａは、センサ情報３１及びセンサ配置場所情報３２に基づき、計画情報に応じた支援情報としての評価レベル情報を出力する。情報処理装置１ａとしては、サーバ装置、ＰＣ等が適宜利用可能である。 The information processing device 1a implements, for example, the storage unit 3 and the evaluation level calculation unit 7. The information processing device 1a may further implement the input unit 5, for example. In the support process, the information processing device 1a outputs evaluation level information as support information according to the plan information based on the sensor information 31 and the sensor location information 32. FIG. As the information processing device 1a, a server device, a PC, or the like can be used as appropriate.
　表示端末１ｂは、例えば、入力部５及び表示部９を実現する。支援処理において表示端末は、情報処理装置１ａから出力された、支援情報としての評価レベル情報３３を表示する。表示端末１ｂは、例えば、記憶部３に一部又は全部をさらに実現してもよい。表示端末１ｂとしては、スマートフォンやタブレットＰＣ等が適宜利用可能である。 The display terminal 1b implements the input unit 5 and the display unit 9, for example. In the support process, the display terminal displays the evaluation level information 33 as support information output from the information processing device 1a. The display terminal 1b may further be partially or wholly implemented in the storage unit 3, for example. As the display terminal 1b, a smart phone, a tablet PC, or the like can be used as appropriate.
　当該支援システム１において、情報処理装置１ａ及び表示端末１ｂは、ネットワークを介して、通信可能に接続される。ネットワークとしては、例えばインターネット等の電気通信回線が利用可能である。 In the support system 1, the information processing device 1a and the display terminal 1b are communicably connected via a network. As a network, for example, an electric communication line such as the Internet can be used.
　なお、表示端末１ｂは、ディスプレイ装置として構成することもできる。この場合、入力部５は、表示端末１ｂではなく、情報処理装置１ａにより実現されればよい。 The display terminal 1b can also be configured as a display device. In this case, the input unit 5 may be realized by the information processing device 1a instead of the display terminal 1b.
　なお、本実施形態では、説明の簡単のために、支援処理を実行する単一の情報処理装置により構成された支援システム１を例示する。 In addition, in the present embodiment, for ease of explanation, the support system 1 configured by a single information processing device that executes support processing is exemplified.
　図２は、実施形態に係る支援システム１のハードウェア構成の一例を示すブロック図である。支援システム１としての情報処理装置は、図２に示すように、プロセッサ１１、メモリ１２、通信回路１３、ディスプレイ１４及びタッチパネル１５を有する。プロセッサ１１、メモリ１２、通信回路１３、ディスプレイ１４及びタッチパネル１５は、例えばバス１９を介して通信可能に接続される。 FIG. 2 is a block diagram showing an example of the hardware configuration of the support system 1 according to the embodiment. The information processing apparatus as the support system 1 has a processor 11, a memory 12, a communication circuit 13, a display 14 and a touch panel 15, as shown in FIG. The processor 11 , memory 12 , communication circuit 13 , display 14 and touch panel 15 are communicably connected via a bus 19 , for example.
　なお、サーバクライアント型のシステムとして支援システム１が構築される場合、例えば、少なくとも１つの情報処理装置それぞれは、プロセッサ１１、メモリ１２及び通信回路１３と同様の構成を有する。 When the support system 1 is constructed as a server-client system, for example, each of at least one information processing device has the same configuration as the processor 11, memory 12, and communication circuit 13.
　なお、サーバクライアント型のシステムとして支援システム１が構築される場合、少なくとも１つの情報処理装置それぞれは、ディスプレイ１４及びタッチパネル１５と同様の構成をさらに有していてもよい。例えば、少なくとも１つの表示端末それぞれは、プロセッサ１１、メモリ１２、通信回路１３、ディスプレイ１４及びタッチパネル１５と同様の構成を有する。 When the support system 1 is constructed as a server-client type system, each of at least one information processing device may further have the same configuration as the display 14 and the touch panel 15 . For example, each of at least one display terminal has the same configuration as the processor 11 , memory 12 , communication circuit 13 , display 14 and touch panel 15 .
　プロセッサ１１は、支援システム１の全体の動作を制御する。プロセッサ１１は、メモリ１２のＲＡＭにロードされた支援プログラムを実行することにより、記憶部３、入力部５、評価レベル計算部７及び表示部９としての機能を実現する。プロセッサ１１としては、ＣＰＵ（Ｃｅｎｔｒａｌ　Ｐｒｏｃｅｓｓｉｎｇ　Ｕｎｉｔ）やＧＰＵ（Ｇｒａｐｈｉｃｓ　Ｐｒｏｃｅｓｓｉｎｇ　Ｕｎｉｔ）、ＡＳＩＣ（Ａｐｐｌｉｃａｔｉｏｎ　Ｓｐｅｃｉｆｉｃ　Ｉｎｔｅｇｒａｔｅｄ　Ｃｉｒｃｕｉｔ）、ＦＰＧＡ（Ｆｉｅｌｄ　Ｐｒｏｇｒａｍｍａｂｌｅ　Ｇａｔｅ　Ａｒｒａｙ）等の各種のプロセッサが適宜利用可能である。 The processor 11 controls the overall operation of the support system 1. The processor 11 implements functions as the storage unit 3 , the input unit 5 , the evaluation level calculation unit 7 and the display unit 9 by executing the support program loaded in the RAM of the memory 12 . As the processor 11, various processors such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an ASIC (Application Specific Integrated Circuit), and an FPGA (Field Programmable Gate Array) can be used as appropriate.
　メモリ１２は、支援システム１で使用される各種のデータやプログラムを記憶する。メモリ１２は、プロセッサ１１の制御に従って記憶部３を実現する。メモリ１２に記憶されるデータは、計画情報、センサ情報３１、センサ配置場所情報３２、評価レベル情報３３及び地図情報３４を含む。メモリ１２に記憶されるプログラムは、プロセッサ１１により実行されることにより支援処理を実現するための支援プログラムを含む。ここで、支援処理とは、計画情報に基づいて支援情報を出力する情報処理と、出力された支援情報を表示する表示処理とを含む。メモリ１２としては、ＲＯＭ（Ｒｅａｄ　Ｏｎｌｙ　Ｍｅｍｏｒｙ）やＨＤＤ（Ｈａｒｄ　Ｄｉｓｋ　Ｄｒｉｖｅ）、ＳＳＤ（Ｓｏｌｉｄ　Ｓｔａｔｅ　Ｄｒｉｖｅ）、Ｆｌａｓｈメモリ等の各種の記憶媒体や記憶装置が適宜利用可能である。また、メモリ１２には、一時的に作業中のデータを記憶するＲＡＭ（Ｒａｎｄｏｍ　Ａｃｃｅｓｓ　Ｍｅｍｏｒｙ）がさらに設けられる。 The memory 12 stores various data and programs used by the support system 1. The memory 12 implements the storage unit 3 under the control of the processor 11 . The data stored in the memory 12 includes planning information, sensor information 31, sensor location information 32, evaluation level information 33 and map information 34. FIG. The programs stored in the memory 12 include support programs for realizing support processing by being executed by the processor 11 . Here, the support processing includes information processing for outputting support information based on plan information, and display processing for displaying the output support information. As the memory 12, various storage media and storage devices such as ROM (Read Only Memory), HDD (Hard Disk Drive), SSD (Solid State Drive), and Flash memory can be used as appropriate. In addition, the memory 12 is further provided with a RAM (Random Access Memory) for temporarily storing working data.
　通信回路１３は、ネットワークを介して、支援システム１の外部と通信するための回路である。なお、サーバクライアント型のシステムとして支援システム１が構築される場合、通信回路１３は、ネットワークを介して、少なくとも１つの情報処理装置と、少なくとも１つの表示端末とのうちの任意の装置間での通信を実現するための回路である。この場合、通信回路１３は、プロセッサ１１の制御に従って情報処理装置１ａにおける入力部５を実現する。通信回路１３としては、有線通信用の通信回路、無線通信用の通信回路及びこれらの組合せが適宜利用可能である。無線通信用の通信回路としては、３Ｇや４Ｇ、５Ｇ、Ｗｉ－Ｆｉ（登録商標）、Ｂｌｕｅｔｏｏｔｈ（登録商標）等の各種の規格に対応した通信回路が適宜利用可能である。 The communication circuit 13 is a circuit for communicating with the outside of the support system 1 via a network. Note that when the support system 1 is constructed as a server-client type system, the communication circuit 13 provides communication between any of at least one information processing device and at least one display terminal via a network. It is a circuit for realizing communication. In this case, the communication circuit 13 realizes the input unit 5 in the information processing device 1a under the control of the processor 11. FIG. As the communication circuit 13, a communication circuit for wired communication, a communication circuit for wireless communication, and a combination thereof can be used as appropriate. As communication circuits for wireless communication, communication circuits compatible with various standards such as 3G, 4G, 5G, Wi-Fi (registered trademark), and Bluetooth (registered trademark) can be used as appropriate.
　ディスプレイ１４は、ユーザに表示画面を提示する。ディスプレイ１４は、プロセッサ１１の制御に従って表示部９を実現する。ディスプレイ１４としては、液晶ディスプレイ、有機ＥＬディスプレイ、プロジェクタ等が適宜利用可能である。タッチパネル１５は、ユーザの入力を受け付ける。タッチパネル１５は、例えばディスプレイ１４の表面に設けられ、触れられた位置に応じた情報を出力する。 The display 14 presents a display screen to the user. The display 14 implements the display section 9 under the control of the processor 11 . As the display 14, a liquid crystal display, an organic EL display, a projector, or the like can be used as appropriate. The touch panel 15 accepts user input. The touch panel 15 is provided, for example, on the surface of the display 14 and outputs information according to the touched position.
　なお、支援システム１は、タッチパネル１５に限らず、キーボード等の他の入力装置（入力部５）を有していても構わない。また、支援システム１は、ユーザの音声入力を受け付けるマイクロフォン（入力部５）や音声データに応じた音声を出力するスピーカ等（提示部）をさらに備えていても構わない。これらの場合、支援システム１において、計画情報が音声により入力されてもよいし、支援情報を示す表示画面の内容が音声によりユーザに提示されてもよい。 The support system 1 is not limited to the touch panel 15, and may have other input devices (input unit 5) such as a keyboard. In addition, the support system 1 may further include a microphone (input unit 5) that receives voice input from the user and a speaker or the like (presentation unit) that outputs voice according to voice data. In these cases, in the support system 1, the plan information may be input by voice, and the content of the display screen showing the support information may be presented to the user by voice.
　なお、支援システム１は、コンピュータで読み取り可能な記録媒体や可搬型の外部記憶装置を介して、センサ情報３１、センサ配置場所情報３２、評価レベル情報３３及び地図情報３４のうちの少なくとも１つを格納するデータベースにアクセス可能に構成されていても構わない。コンピュータで読み取り可能な記録媒体としては、例えば、ＣＤ－ＲＯＭ、フレキシブルディスク（ＦＤ）、ＣＤ－Ｒ、ＤＶＤ（Ｄｉｇｉｔａｌ　Ｖｅｒｓａｔｉｌｅ　Ｄｉｓｋ）等が適宜利用可能である。また、可搬型の外部記憶装置としては、ＨＤＤやＳＳＤ、Ｆｌａｓｈメモリ等が適宜利用可能である。 The support system 1 stores at least one of sensor information 31, sensor location information 32, evaluation level information 33, and map information 34 via a computer-readable recording medium or a portable external storage device. It may be configured so that the database in which it is stored can be accessed. As a computer-readable recording medium, for example, a CD-ROM, a flexible disk (FD), a CD-R, a DVD (Digital Versatile Disk), etc. can be used as appropriate. As a portable external storage device, an HDD, an SSD, a flash memory, or the like can be used as appropriate.
　記憶部３は、センサ情報３１、センサ配置場所情報３２、評価レベル情報３３及び地図情報３４を格納する。なお、センサ情報３１を格納するデータベースと、センサ配置場所情報３２を格納するデータベースと、評価レベル情報３３を格納するデータベースと、地図情報３４を格納するデータベースとは、１つのデータベースとして構成されてもよいし、複数のデータベースとして構成されてもよい。 The storage unit 3 stores sensor information 31, sensor location information 32, evaluation level information 33, and map information 34. The database that stores the sensor information 31, the database that stores the sensor location information 32, the database that stores the evaluation level information 33, and the database that stores the map information 34 may be configured as one database. Alternatively, it may be configured as a plurality of databases.
　ここで、センサ情報３１及びセンサ配置場所情報３２とは、計測情報に含まれる情報である。一例として、計測情報は、予め前記行動データを計測した少なくとも１つの計測手段に関する情報であり、計測条件と、計測済データとを含む。計測条件は、計測地点（計測場所）と、天候や曜日などの計測日時と、計測手段の種類とを含む。計測手段の種類としては、例えば、手計測やカメラ性能Ａ、カメラ性能Ｂ、Ｗｉ－Ｆｉ（登録商標）スポット、ＥＴＣ２．０受信機などがあり得る。Ｗｉ－Ｆｉスポットとは、例えばインターネット等の電気通信回線へ無線接続可能な公衆無線ＬＡＮサービスが提供されている場所である。なお、公衆無線ＬＡＮは、Ｗｉ－Ｆｉに限らず、他の無線通信が利用されていてもよい。 Here, the sensor information 31 and the sensor location information 32 are information included in the measurement information. As an example, the measurement information is information about at least one measurement means that has measured the behavior data in advance, and includes measurement conditions and measured data. The measurement conditions include a measurement point (measurement location), measurement date and time such as weather and day of the week, and type of measurement means. Types of measurement means may include, for example, hand measurement, camera performance A, camera performance B, Wi-Fi (registered trademark) spot, ETC 2.0 receiver, and the like. A Wi-Fi spot is a place where a public wireless LAN service that allows wireless connection to an electric communication line such as the Internet is provided. The public wireless LAN is not limited to Wi-Fi, and other wireless communication may be used.
　図３は、実施形態に係るセンサ情報３１の一例を示す図である。センサ情報３１は、移動体の属性ごとの行動データを計測する少なくとも１つの計測手段に関する、計測可能な前記行動データを示す属性情報の一例である。ここで、移動体とは、人及び人を輸送する自転車や自動車などの車両のうちの少なくとも一方である。センサ情報３１は、図３に示すように、各計測手段について、計測可能な範囲、日没後の計測の可否、逆光時の計測の可否、通行量計測の可否、性別識別の可否、移動体モード識別の可否、笑顔識別の可否及び同伴者識別の可否のうちの少なくとも１つを含む情報である。 FIG. 3 is a diagram showing an example of sensor information 31 according to the embodiment. The sensor information 31 is an example of attribute information indicating measurable action data regarding at least one measuring means for measuring action data for each attribute of a moving object. Here, the mobile means at least one of people and vehicles such as bicycles and automobiles that transport people. As shown in FIG. 3, the sensor information 31 includes, for each measuring means, the measurable range, whether or not measurement is possible after sunset, whether or not measurement is possible under backlight, whether or not traffic volume measurement is possible, whether or not gender identification is possible, and the mobile mode. This is information including at least one of identification propriety, smile identification propriety, and companion identification propriety.
　図４は、実施形態に係るセンサ配置場所情報３２の一例を示す図である。センサ配置場所情報３２は、計測場所の特性を示す配置場所情報の一例である。センサ配置場所情報３２は、図４に示すように、各計測場所について、計測手段による計測可否、天候による計測への影響度、周辺建物による計測への影響度及び時間による計測への影響度のうちの少なくとも１つを含む情報である。 FIG. 4 is a diagram showing an example of sensor location information 32 according to the embodiment. The sensor placement location information 32 is an example of placement location information indicating characteristics of the measurement location. As shown in FIG. 4, the sensor placement location information 32 includes, for each measurement location, whether measurement is possible by means of measurement, the degree of influence of weather on measurement, the degree of influence of surrounding buildings on measurement, and the degree of influence of time on measurement. It is information including at least one of
　図５は、実施形態に係る評価レベル情報３３の一例を示す図である。評価レベル情報３３は、計測情報に基づいて算出される、計画範囲に含まれる計測場所において計測手段により行動データを計測する場合に実現可能なスマートプランニングを評価する情報の一例である。ここで、計画範囲とは、スマートプランニングの実施を計画している範囲である。一例として、計画範囲は、スマートプランニングの実施を計画している地図上の範囲である。一例として、計画範囲は、スマートプランニングの実施を計画している範囲を規定する情報であり、名称や地名などの範囲、あるいは特定の位置からの距離などの範囲を示す情報である。具体的には、評価レベル情報３３は、当該実現可能なスマートプランニングにより評価可能な少なくとも１つの項目に関する、スマートプランニングの程度を示す情報である。つまり、評価レベル情報３３は、計測情報を用いることにより、どのような精度でスマートプランニングが可能になるかを示す情報である。評価レベル情報３３の算出については、後述する。 FIG. 5 is a diagram showing an example of the evaluation level information 33 according to the embodiment. The evaluation level information 33 is an example of information for evaluating smart planning that can be realized when behavior data is measured by the measuring means at the measurement locations included in the planning range, which is calculated based on the measurement information. Here, the planning range is the range in which the execution of smart planning is planned. As an example, the planned area is the area on the map where smart planning is planned to be implemented. As an example, the planning range is information that defines the range in which smart planning is planned to be implemented, and is information that indicates a range such as a name or place name, or a range such as a distance from a specific position. Specifically, the evaluation level information 33 is information indicating the degree of smart planning for at least one item that can be evaluated by the feasible smart planning. In other words, the evaluation level information 33 is information indicating with what degree of accuracy smart planning is possible by using the measurement information. Calculation of the evaluation level information 33 will be described later.
　地図情報３４は、メッシュ地図や道路ネットワーク地図などの地図データである。一例として、地図情報３４は、道路ネットワーク構造データを含む。なお、道路ネットワーク構造データには、自動車などの車両が走行する道路に関するネットワーク構造データに限らない。道路ネットワーク構造データは、当該道路に附随する自転車専用レーンや歩道、商店街などのアーケードに設けられた通路など、人や各種の移動体に係る移動経路に関するネットワーク構造データであり得る。 The map information 34 is map data such as mesh maps and road network maps. As an example, the map information 34 includes road network structure data. The road network structure data is not limited to network structure data related to roads on which vehicles such as automobiles travel. The road network structure data can be network structure data related to movement routes for people and various mobile objects, such as bicycle lanes and sidewalks attached to the roads, passages provided in arcades such as shopping streets.
　入力部５は、ユーザの操作入力を受け付ける。入力部５は、計画範囲を少なくとも含む計画情報を取得する取得部の一例である。なお、計画情報は、計画範囲に限らず、種々の都市計画に関する情報を含む。例えば、計画情報は、建造物や道路、店舗、駅、バス停などの現状及び計画、店舗や施設の営業時間、イベント情報や対象の季節、日時、曜日、天候、人口分布などの情報を含む。 The input unit 5 accepts a user's operation input. The input unit 5 is an example of an acquisition unit that acquires plan information including at least a plan range. In addition, the plan information is not limited to the plan range, and includes information on various city plans. For example, plan information includes the current status and plans of buildings, roads, shops, stations, bus stops, etc., business hours of shops and facilities, event information, target seasons, dates and times, days of the week, weather, population distribution, and other information.
　評価レベル計算部７は、計測情報に基づいて、計画範囲に含まれる計測場所において計測手段により行動データを計測する場合に実現可能なスマートプランニングを評価する評価レベル情報３３を算出する。評価レベル計算部７は、演算部の一例である。 Based on the measurement information, the evaluation level calculation unit 7 calculates evaluation level information 33 for evaluating realizable smart planning when action data is measured by the measurement means at the measurement locations included in the planning range. The evaluation level calculator 7 is an example of a calculator.
　具体的には、評価レベル計算部７は、計測地点や日時、計測手段などの計測条件と、道路ネットワーク構造データと、計測地点からの視野のデータと、建物などの障害物による死角や日陰、逆光などの日照データとを適宜突合することにより評価レベル情報３３を算出する。 Specifically, the evaluation level calculation unit 7 calculates measurement conditions such as the measurement point, date and time, and measurement means, road network structure data, data on the field of view from the measurement point, blind spots and shade caused by obstacles such as buildings, The evaluation level information 33 is calculated by appropriately matching the sunshine data such as backlight.
　より具体的には、評価レベル計算部７は、計測情報やセンサ情報３１、センサ配置場所情報３２に基づくパラメータを用いて、計画範囲に含まれる地図上の各場所について、スマートプランニングにより評価可能な少なくとも１つの項目のいずれに属するかを算出する。 More specifically, the evaluation level calculation unit 7 uses parameters based on the measurement information, the sensor information 31, and the sensor location information 32 to evaluate each location on the map included in the planning range by smart planning. Calculate which of at least one item it belongs to.
　ここで、計測情報やセンサ情報３１、センサ配置場所情報３２に基づくパラメータとは、例えば、移動体の交通量評価の可否、移動体のＯＤ評価の可否、移動体の滞在時間評価の可否、通行者の性別や年齢識別の可否、笑顔率や同伴者の有無などの歩行者の多様性識別の可否、移動体が歩行者であるか、自転車であるか、車であるかなどの移動体モード識別の可否、計測可能な天候や曜日、時間帯などが適宜利用可能である。 Here, the parameters based on the measurement information, the sensor information 31, and the sensor arrangement location information 32 are, for example, whether or not the traffic volume evaluation of the mobile body is possible, whether or not the OD evaluation of the mobile body is possible, whether or not the stay time evaluation of the mobile body is possible, Whether or not the gender and age of a person can be identified, whether or not pedestrian diversity can be identified, such as the smile rate and presence or absence of companions, and whether the mobile object is a pedestrian, a bicycle, or a car, etc. Whether or not identification is possible, measurable weather, days of the week, time zones, etc. can be used as appropriate.
　また、スマートプランニングにより評価可能な少なくとも１つの項目とは、例えば、交通量評価可能なエリア、歩行者笑顔識別可能なエリア、通行者の性別識別可能なエリア、同伴者識別可能なエリア、移動体モード識別可能なエリア、日没後計測可能なエリア、移動体の軌跡追跡（ＯＤ評価）可能なエリアのうちの少なくとも１つである。 In addition, at least one item that can be evaluated by smart planning is, for example, an area where traffic volume can be evaluated, an area where a pedestrian's smile can be identified, an area where a passerby's gender can be identified, an area where a companion can be identified, a mobile body It is at least one of an area in which mode identification is possible, an area in which measurement is possible after sunset, and an area in which trajectory tracking (OD evaluation) of a moving object is possible.
　例えば、評価レベル計算部７は、計測条件と道路ネットワーク構造データとを突合することにより、各場所における移動体のＯＤ評価の可否を示すパラメータの値を算出し、移動体の移動体のＯＤ評価可能なエリアに所属するか否かを算出する。 For example, the evaluation level calculation unit 7 compares the measurement conditions with the road network structure data to calculate the value of the parameter indicating whether or not the OD evaluation of the moving object is possible at each location, and calculates the OD evaluation of the moving object. Calculate whether or not it belongs to a possible area.
　そして、評価レベル計算部７は、スマートプランニングにより評価可能な少なくとも１つの項目を重み付け加算することにより、評価レベル情報３３の値を算出する。各項目の重みは、例えばスマートプランニングによる都市計画の計画者が、計画情報の一部として入力する。各項目の重みは、例えば女性を集めるような都市計画をスマートプランニングにより実施したい場合や車の移動をメインとする都市計画をスマートプランニングにより実施したい場合など、計画者が求める都市計画の目的に応じて適宜設定されればよい。 Then, the evaluation level calculation unit 7 calculates the value of the evaluation level information 33 by weighted addition of at least one item that can be evaluated by smart planning. The weight of each item is input as part of the plan information by, for example, a city planner using smart planning. The weight of each item is determined according to the purpose of city planning sought by the planner. can be set as appropriate.
　なお、既存の計測データを用いる際に、当該計測データの計測条件の一部が不明な場合もあり得る。このようにパラメータが不確実性を持つ場合には、評価レベル情報３３を確率的に算出すればよい。 It should be noted that when using existing measurement data, some of the measurement conditions of the measurement data may be unknown. When the parameters have uncertainty in this way, the evaluation level information 33 may be calculated probabilistically.
　一例として、評価レベル計算部７は、例えば図５に示すように、計画範囲の全体についての総合評価としての評価レベル情報３３を算出する。別の一例として、評価レベル計算部７は、例えば図５に示すように、計画範囲内の各場所についての評価レベル情報３３を算出する。また、評価レベル計算部７は、算出された評価レベル情報３３を地図上で示すための支援情報として出力する。 As an example, the evaluation level calculation unit 7 calculates evaluation level information 33 as a comprehensive evaluation of the entire planning range, as shown in FIG. As another example, the evaluation level calculator 7 calculates evaluation level information 33 for each location within the planning range, as shown in FIG. 5, for example. The evaluation level calculation unit 7 also outputs the calculated evaluation level information 33 as support information for showing on the map.
　図６は、実施形態に係る支援情報としての評価レベル情報３３の一例を示す図である。例えば、評価レベル計算部７は、図６に示すように、計画範囲を分割した複数の領域それぞれについての２次元マトリックス状の評価レベル情報３３を、地図上で示すための支援情報として出力する。この複数の領域それぞれは、例えば地図情報３４がメッシュ地図である場合、メッシュ地図のうちの計画範囲内の複数のメッシュそれぞれに対応する。もちろん、地図情報３４が３次元メッシュ地図であれば、評価レベル情報３３は、３次元に配置された複数のメッシュのそれぞれについて算出されることになる。 FIG. 6 is a diagram showing an example of evaluation level information 33 as support information according to the embodiment. For example, as shown in FIG. 6, the evaluation level calculation unit 7 outputs two-dimensional matrix-like evaluation level information 33 for each of a plurality of areas obtained by dividing the planning range as support information for showing on a map. For example, if the map information 34 is a mesh map, each of the plurality of areas corresponds to each of the plurality of meshes within the planned range of the mesh map. Of course, if the map information 34 is a three-dimensional mesh map, the evaluation level information 33 is calculated for each of a plurality of three-dimensionally arranged meshes.
　図７は、実施形態に係る支援情報としての評価レベル情報３３の別の一例を示す図である。例えば、評価レベル計算部７は、図７に示すように、計画範囲に対応する道路ネットワーク構造に沿った複数の領域それぞれについての道路ネットワークの２次元構造に沿った評価レベル情報３３を、地図上で示すための支援情報として出力する。この複数の領域それぞれは、例えば地図情報３４が道路ネットワーク地図である場合、ネットワーク地図のうちの計画範囲内の複数のノードそれぞれに対応する。もちろん、地図情報３４が３次元道路ネットワーク地図であれば、評価レベル情報３３は、３次元に配置された複数のノードそれぞれについて算出されることになる。 FIG. 7 is a diagram showing another example of the evaluation level information 33 as support information according to the embodiment. For example, as shown in FIG. 7, the evaluation level calculation unit 7 calculates the evaluation level information 33 along the two-dimensional structure of the road network for each of a plurality of areas along the road network structure corresponding to the planning range on the map. Output as support information for indicating in . For example, if the map information 34 is a road network map, each of the plurality of areas corresponds to each of the plurality of nodes within the planned range of the network map. Of course, if the map information 34 is a three-dimensional road network map, the evaluation level information 33 will be calculated for each of a plurality of nodes arranged three-dimensionally.
　また、評価レベル計算部７は、計測手段ごとの評価レベル情報３３に対する寄与度を算出し、算出された寄与度を支援情報として出力する。具体的には、評価レベル計算部７は、各計測手段に関する計測情報が評価レベル情報３３の値の増加にどの程度寄与しているかを案分計算することにより、計測情報ごとの評価レベル情報３３の値の増加に対する寄与度を算出する。 In addition, the evaluation level calculation unit 7 calculates the degree of contribution to the evaluation level information 33 for each measuring means, and outputs the calculated degree of contribution as support information. Specifically, the evaluation level calculation unit 7 proportionally calculates how much the measurement information related to each measuring means contributes to the increase in the value of the evaluation level information 33, thereby obtaining the evaluation level information 33 for each measurement information. Calculate the contribution to the increase in the value of
　表示部９は、評価レベル計算部７により出力された支援情報に基づき、評価レベル情報３３が地図上に重畳された表示画面を表示する。表示画面については、後述する。 The display unit 9 displays a display screen in which the evaluation level information 33 is superimposed on the map based on the support information output by the evaluation level calculation unit 7. The display screen will be described later.
　以下、図面を参照して、実施形態に係る支援システム１の動作について説明する。なお、以下に説明する処理の流れは一例であり、処理順序の変更や一部の処理の削除、他の処理の追加も可能である。 The operation of the support system 1 according to the embodiment will be described below with reference to the drawings. Note that the flow of processing described below is an example, and it is possible to change the processing order, delete some processing, and add other processing.
　支援システム１では、計画情報に応じた支援情報を出力する情報処理と、出力された支援情報を表示する表示処理とを含む支援処理が実行される。図８は、実施形態に係る支援システム１で実行される支援処理の一例を示すフローチャートである。図９及び図１０は、それぞれ実施形態に係る支援処理で表示される表示画面の一例を示す図である。 In the support system 1, support processing including information processing for outputting support information according to plan information and display processing for displaying the output support information is executed. FIG. 8 is a flowchart showing an example of support processing executed by the support system 1 according to the embodiment. 9 and 10 are diagrams each showing an example of a display screen displayed in the support process according to the embodiment.
　なお、図８の流れは、センサ情報３１及びセンサ配置場所情報３２が記憶部３に格納された状態で開始されるとする。 It should be noted that the flow of FIG. 8 is started with the sensor information 31 and the sensor location information 32 stored in the storage unit 3 .
　入力部５は、ユーザによる計画情報の入力を受け付ける。また、評価レベル計算部７は、計画情報を入力部５から取得する（Ｓ１０１）。 The input unit 5 accepts input of plan information by the user. Also, the evaluation level calculation unit 7 acquires the plan information from the input unit 5 (S101).
　評価レベル計算部７は、計画情報に含まれる計画範囲に対応するセンサ情報３１を記憶部３から取得する（Ｓ１０２）。 The evaluation level calculation unit 7 acquires the sensor information 31 corresponding to the plan range included in the plan information from the storage unit 3 (S102).
　評価レベル計算部７は、計画情報に含まれる計画範囲に対応するセンサ配置場所情報を記憶部３から取得する（Ｓ１０３）。 The evaluation level calculation unit 7 acquires sensor placement location information corresponding to the planning range included in the planning information from the storage unit 3 (S103).
　また、評価レベル計算部７は、ステップＳ１０３の後、計画範囲に対応する地図情報３４と、既存計測データを計測した計測手段の種類及び計測場所を示す情報とを表示部９に出力する。表示部９は、図９に示すように、計画範囲に対応する地図上に既存計測データを計測した計測手段を示すアイコンを重畳した表示画面９１０を表示する。図９において、既設ａ、既設ｂ及び既設ｃは、それぞれ手計測による交通量調査により得られた既存計測データの存在を示す。また、図９において、既設ｄ及び既設ｅは、カメラ計測により得られた既存計測データの存在を示す。例えば、カメラの性能や設置環境が異なる場合、図９において既設ｄ及び既設ｅとして示すように、互いに異なるアイコンで表示され得る。 In addition, after step S103, the evaluation level calculation unit 7 outputs to the display unit 9 the map information 34 corresponding to the planned range and the information indicating the type of measuring means that measured the existing measurement data and the measurement location. As shown in FIG. 9, the display unit 9 displays a display screen 910 in which icons indicating measuring means that have measured the existing measurement data are superimposed on a map corresponding to the planned range. In FIG. 9, existing a, existing b, and existing c indicate the presence of existing measurement data obtained by manual traffic survey. In FIG. 9, existing d and existing e indicate the presence of existing measurement data obtained by camera measurement. For example, when the camera performance and installation environment are different, different icons may be displayed as indicated by existing d and existing e in FIG. 9 .
　評価レベル計算部７は、計画情報、センサ情報３１及びセンサ配置場所情報３２に基づき、評価レベル情報３３を計算する（Ｓ１０４）。 The evaluation level calculator 7 calculates the evaluation level information 33 based on the plan information, the sensor information 31 and the sensor location information 32 (S104).
　評価レベル計算部７は、評価レベルを可視化する（Ｓ１０５）。具体的には、評価レベル計算部７は、算出された評価レベルを示す評価レベル情報３３を表示部９に出力する。表示部９は、図１０に示すように、計画範囲に対応する地図上に評価レベル情報３３を重畳した表示画面９２０を表示する。図１０に斜線ハッチングで示すように、表示画面９２０においては、地図上に評価レベル情報３３として交通量評価可能なエリアが重畳表示されている。 The evaluation level calculation unit 7 visualizes the evaluation level (S105). Specifically, the evaluation level calculation section 7 outputs the evaluation level information 33 indicating the calculated evaluation level to the display section 9 . As shown in FIG. 10, the display unit 9 displays a display screen 920 in which the evaluation level information 33 is superimposed on a map corresponding to the planned range. As indicated by diagonal hatching in FIG. 10 , on the display screen 920 , the evaluation level information 33 is superimposed on the map and an area in which traffic volume can be evaluated is displayed.
　このように、実施形態に係る支援システム１は、計測情報に基づいて、計画範囲に含まれる計測場所において計測手段により行動データを計測する場合に実現可能なスマートプランニングを評価する評価レベル情報３３を算出し、算出された評価レベル情報３３を地図上で示すための支援情報を出力する。これにより、評価可能な地理範囲や時間帯、通行者性別や表情、移動モードなどの識別可能な移動体属性を、評価レベル情報３３として地図上に表示することができる。このため、ユーザは、既存の計測データを用いてどの程度のスマートプランニングが可能かを容易に把握することができる。また、実施形態に係る支援システム１は、既存計測データの活用によりスマートプランニング可能となる内容を地図上に表示するため、ユーザは、追加計測の要否についても容易に判断することができる。したがって、実施形態に係る支援システム１によれば、スマートプランニングを実現するためのデータ計測を支援することができる。 As described above, the support system 1 according to the embodiment, based on the measurement information, sets the evaluation level information 33 for evaluating smart planning that can be realized when action data is measured by the measurement means at the measurement locations included in the planning range. It calculates and outputs support information for showing the calculated evaluation level information 33 on a map. As a result, identifiable moving body attributes such as the evaluable geographic range and time period, the passerby's sex and expression, and the movement mode can be displayed as the evaluation level information 33 on the map. Therefore, the user can easily grasp how much smart planning is possible using the existing measurement data. In addition, since the support system 1 according to the embodiment displays on the map the content that enables smart planning by utilizing existing measurement data, the user can easily determine whether or not additional measurement is necessary. Therefore, according to the support system 1 according to the embodiment, it is possible to support data measurement for realizing smart planning.
　なお、計測情報は、予め前記行動データを計測した少なくとも１つの計測手段に関する情報に限らず、行動データを計測予定の少なくとも１つの計測手段に関する情報であってもよい。具体的には、実施形態に係る支援システム１は、追加計測による評価レベル情報３３の変化を可視化してもよい。 Note that the measurement information is not limited to information about at least one measuring means that has measured the behavior data in advance, and may be information about at least one measuring means that is scheduled to measure the behavior data. Specifically, the support system 1 according to the embodiment may visualize changes in the evaluation level information 33 due to additional measurements.
　一例として、入力部５は、追加候補の計測情報のユーザ入力をさらに受け付ける。評価レベル計算部７は、追加候補の計測情報に基づき、評価レベル情報３３を算出し、表示部９に出力する。これにより、追加計測情報を加味して評価レベルが更新及び可視化されるため、ユーザは、追加計測の要否を容易に判断することができる。 As an example, the input unit 5 further receives user input of additional candidate measurement information. The evaluation level calculator 7 calculates the evaluation level information 33 based on the measurement information of the additional candidates, and outputs the evaluation level information 33 to the display unit 9 . As a result, the evaluation level is updated and visualized in consideration of the additional measurement information, so that the user can easily determine whether additional measurement is necessary.
　別の一例として、入力部５は、スマートプランニングにおける評価対象の項目を示す情報と、制約条件とを計画情報としてさらに受け付ける。ここで、スマートプランニングにおける評価対象の項目を示す情報とは、スマートプランニングにより評価可能な少なくとも１つの項目のうちのユーザが都市計画の目的に応じて選択する項目であって、最大化したい評価レベルパラメータである。また、制約条件とは、例えば予算の制限、計測地点数や計測日時、計測手段などの計測情報に関する制限である。評価レベル計算部７は、設置可能場所で追加計測した場合の、追加計測前後での評価レベル情報３３の値を網羅的に計算し、追加候補の項目に関する評価レベル情報３３の値への寄与度について、ユーザが入力した制約条件と最大化したい項目とを満たすものを算出し、支援情報として出力する。つまり、評価レベル計算部７は、評価レベル情報３３に対する評価対象の項目の寄与度に応じて推薦する計測手段及び計測場所を決定し、決定された計測手段を地図上で示すための支援情報を出力する。 As another example, the input unit 5 further receives information indicating items to be evaluated in smart planning and constraints as plan information. Here, the information indicating an item to be evaluated in smart planning is an item selected by the user according to the purpose of urban planning from at least one item that can be evaluated by smart planning, and the evaluation level to be maximized. is a parameter. Constraints are, for example, budget restrictions, restrictions on measurement information such as the number of measurement points, measurement dates and times, and measurement means. The evaluation level calculation unit 7 comprehensively calculates the values of the evaluation level information 33 before and after the additional measurement when the additional measurement is performed at the installable place, and the contribution to the value of the evaluation level information 33 regarding the item of the additional candidate. is calculated to satisfy the constraint conditions input by the user and the item to be maximized, and is output as support information. That is, the evaluation level calculation unit 7 determines the recommended measurement means and measurement location according to the degree of contribution of the evaluation target item to the evaluation level information 33, and provides support information for indicating the determined measurement means on the map. Output.
　図１１は、実施形態に係る支援処理で表示される表示画面９３０の一例を示す図である。図１１は、スマートプランニングにおける評価対象の項目として、通行者の性別識別可能なエリアが選択された場合を例示する。図１１に示すように、表示画面９３０では、評価レベル情報３３に対する通行者の性別識別可能なエリアの寄与度を制約条件の下で最大化する際に要求される追加計測の候補である追加候補Ａ～Ｄが地図上で表示されている。このように、実施形態に係る支援システム１によれば、評価レベル情報３３を最大化するための追加候補をシステム側から推薦することもできる。これにより、ユーザは、選択した評価対象の項目に応じた適切な追加候補を把握することができる。 FIG. 11 is a diagram showing an example of a display screen 930 displayed in support processing according to the embodiment. FIG. 11 exemplifies a case where an area where passers-by can be identified by gender is selected as an item to be evaluated in smart planning. As shown in FIG. 11, on the display screen 930, additional candidate A to D are displayed on the map. Thus, according to the support system 1 according to the embodiment, the system can also recommend additional candidates for maximizing the evaluation level information 33 . This allows the user to grasp appropriate additional candidates according to the selected evaluation target item.
　図１２は、実施形態に係る支援処理で表示される表示画面９４０の一例を示す図である。例えば、図１２の表示画面９４０は、図１１の表示画面９３０において、追加候補Ｂが選択されたときに表示される。図１２に示すように、表示画面９４０は、スマートプランニングにより評価可能な項目について、追加計測の前後での差分値を含む。この構成によれば、ユーザは、追加計測により得られる効果を把握できるため、追加計測の要否を容易に判断することができる。 FIG. 12 is a diagram showing an example of a display screen 940 displayed in support processing according to the embodiment. For example, display screen 940 in FIG. 12 is displayed when addition candidate B is selected in display screen 930 in FIG. 11 . As shown in FIG. 12, display screen 940 includes difference values before and after additional measurement for items that can be evaluated by smart planning. According to this configuration, the user can grasp the effect obtained by the additional measurement, and thus can easily judge whether or not the additional measurement is necessary.
　なお、評価レベル計算部７は、行動データを計測予定の少なくとも１つの計測手段それぞれに関して、評価レベル情報３３を増加させ、かつ、コストを減少させる最適化計算に基づき推薦する追加計測の候補を決定してもよい。この場合、記憶部３には、計測情報と行動データの計測に要するコストとの対応を示すテーブルが予め定められて格納されていればよい。あるいは、記憶部３には、計測情報と行動データの計測に要するコストとの関係を示す計算式が格納されていてもよい。また、算出されたコストは、図１２に示すように、追加費用として表示画面９４０に表示され得る。これにより、ユーザは、コストの観点から最適な追加候補を把握することができる。また、追加費用の表示により、ユーザは、追加計測の要否を容易に判断することができる。 The evaluation level calculation unit 7 increases the evaluation level information 33 and determines additional measurement candidates to be recommended based on the optimization calculation for reducing the cost for each of at least one measuring means scheduled to measure behavior data. You may In this case, the storage unit 3 may store in advance a table showing the correspondence between the measurement information and the cost required for measuring the behavior data. Alternatively, the storage unit 3 may store a calculation formula indicating the relationship between the measurement information and the cost required for measuring the behavior data. Also, the calculated cost can be displayed on the display screen 940 as an additional cost, as shown in FIG. This allows the user to grasp the optimum addition candidate from the viewpoint of cost. In addition, the display of the additional cost allows the user to easily determine whether or not the additional measurement is necessary.
　なお、評価レベル情報３３を最大化しつつ、費用を最小化するように最適化計算が行われても構わない。 The optimization calculation may be performed so as to minimize the cost while maximizing the evaluation level information 33.
　なお、評価レベル計算部７は、センサ配置場所情報３２に基づき、カメラ設置不可の場所など、計画範囲のうちの計測手段による行動データの計測が不可能な計測場所を地図上で示すための支援情報を出力してもよい。具体的には、評価レベル計算部７は、建物構造や土地所有者などの設置候補場所の建物や土地に関する情報、ユーザが現地で視察・撮影した情報に基づいて、カメラ設置可否を判断する。また、表示部９は、図１１及び図１２に示すように、カメラ設置不可エリアを地図上に重畳表示する。 Note that the evaluation level calculation unit 7 provides support for indicating on the map measurement locations within the planned range where action data cannot be measured by the measurement means, such as locations where cameras cannot be installed, based on the sensor location information 32. information may be output. Specifically, the evaluation level calculation unit 7 determines whether or not the camera can be installed based on information related to the building structure, the land owner, and other information about the building and land at the installation candidate site, and the information that the user has inspected and photographed at the site. 11 and 12, the display unit 9 superimposes the camera installation prohibited area on the map.
　このように、実施形態に係る支援システム１は、追加計測の候補に関して評価レベル情報３３を可視化することもできる。これにより、ユーザは、既存計測データの活用に加えて、追加計測によりスマートプランニング可能となる内容を容易に把握することができる。 In this way, the support system 1 according to the embodiment can also visualize the evaluation level information 33 regarding additional measurement candidates. As a result, the user can easily grasp the content that enables smart planning through additional measurement in addition to utilization of existing measurement data.
　なお、上述の実施形態では、評価レベル情報３３や計測手段、既存計測データ、追加計測の候補など、計画情報に応じた支援情報が地図上に表示される場合を例示したが、計画情報に応じた支援情報が示される地図としては、メッシュ地図や道路ネットワーク地図などの計画情報に応じた支援情報の生成に用いた地図データに限らない。表示に供される地図は、評価レベルの分布など、計画範囲における地理的な要素と計画情報に応じた支援情報との関係が分かればよく、イラストなどの簡易な地図であっても構わない。 In the above-described embodiment, the support information corresponding to the plan information, such as the evaluation level information 33, the measurement means, existing measurement data, additional measurement candidates, etc., is displayed on the map. The map showing the support information is not limited to the map data used to generate the support information according to the plan information, such as a mesh map or a road network map. The map to be displayed may be a simple map such as an illustration, as long as the relationship between the geographical elements in the planning range, such as the distribution of evaluation levels, and the support information corresponding to the planning information can be understood.
　また、上述の実施形態では、計画情報に応じた支援情報が地図上に表示される場合を例示したが、これに限らない。計画情報に応じた支援情報と、計画範囲における地理的な要素との関係が分かればよく、テキストデータにより支援情報を表示することもできる。例えば、表示部９は、計画情報に応じた支援情報として、「駅周辺は評価レベル○○です。コンビニ周辺、夜の評価レベルは○○です。」などのテキストデータを表示しても構わない。テキストデータによる支援情報の表示は、地図上への表示とともに行われてもよいし、地図上への表示に代えて行われてもよい。あるいは、当該テキストデータの音声読み上げ機能により支援情報が音声によりユーザに提示されてもよい。なお、評価レベル計算部７から表示部９に出力される支援情報は上述の実施形態と同様にしつつ、評価レベル計算部７からの支援情報に基づいて、表示部９において表示用のテキストデータを生成してもよい。あるいは、評価レベル計算部７から表示部９に支援情報としてテキストデータが出力されてもよい。 Also, in the above-described embodiment, the case where the support information corresponding to the plan information is displayed on the map was exemplified, but the present invention is not limited to this. It is only necessary to know the relationship between the support information according to the plan information and the geographical elements in the plan range, and the support information can also be displayed as text data. For example, the display unit 9 may display text data such as "The area around the station is evaluated at XX. The evaluation level at the convenience store at night is XX." . The display of the support information as text data may be performed together with the display on the map, or may be performed instead of the display on the map. Alternatively, the support information may be presented to the user by voice using the text data read-aloud function. While the support information output from the evaluation level calculation unit 7 to the display unit 9 is the same as in the above-described embodiment, the display unit 9 outputs text data for display based on the support information from the evaluation level calculation unit 7. may be generated. Alternatively, text data may be output from the evaluation level calculation unit 7 to the display unit 9 as support information.
　本実施形態の支援システム１で実行されるプログラムは、インストール可能な形式又は実行可能な形式のファイルでＣＤ－ＲＯＭ、ＦＤ、ＣＤ－Ｒ、ＤＶＤ等のコンピュータで読み取り可能な記録媒体に記録されて提供される。 The program executed by the support system 1 of the present embodiment is recorded in a computer-readable recording medium such as a CD-ROM, FD, CD-R, DVD, etc. as a file in an installable format or an executable format. provided.
　また、本実施形態の支援システム１で実行されるプログラムを、インターネット等のネットワークに接続されたコンピュータ上に格納し、ネットワーク経由でダウンロードさせることにより提供するように構成してもよい。また、支援システム１で実行されるプログラムをインターネット等のネットワーク経由で提供または配布するように構成してもよい。 Alternatively, the program executed by the support system 1 of this embodiment may be stored on a computer connected to a network such as the Internet, and may be provided by being downloaded via the network. Alternatively, the program executed by the support system 1 may be provided or distributed via a network such as the Internet.
　また、本実施形態の支援システム１で実行されるプログラムを、ＲＯＭ等に予め組み込んで提供するように構成してもよい。 Also, the program executed by the support system 1 of the present embodiment may be configured to be pre-installed in a ROM or the like and provided.
　以上説明した少なくとも１つの実施形態によれば、スマートプランニングを実現するためのデータ計測を支援することができる。 According to at least one embodiment described above, it is possible to support data measurement for realizing smart planning.
　本発明のいくつかの実施形態を説明したが、これらの実施形態は、例として提示したものであり、発明の範囲を限定することは意図していない。これらの実施形態は、その他の様々な形態で実施されることが可能であり、発明の要旨を逸脱しない範囲で、種々の省略、置き換え、変更を行うことができる。これらの実施形態やその変形は、発明の範囲や要旨に含まれると同様に、請求の範囲に記載された発明とその均等の範囲に含まれるものである。 Although several embodiments of the invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and modifications can be made without departing from the scope of the invention. These embodiments and their modifications are included in the scope and spirit of the invention, as well as the scope of the invention described in the claims and equivalents thereof.
（付記）
　以上の実施の形態の記載により、下記の技術が開示される。 (Appendix)
The following technology is disclosed by the above description of the embodiment.
（技術１）
　スマートプランニングの実施を計画している計画範囲を少なくとも含む計画情報を取得する取得部と、
　移動体の属性ごとの行動データを計測する少なくとも１つの計測手段に関する、計測可能な前記行動データを示す属性情報と、計測場所の特性を示す配置場所情報とを含む計測情報を格納する記憶部と、
　前記計測情報に基づいて、前記計画範囲に含まれる前記計測場所において前記計測手段により前記行動データを計測する場合に実現可能なスマートプランニングを評価する評価レベルを算出し、前記計画範囲における前記評価レベルを示すための支援情報を出力する演算部と
　を備える情報処理装置。 (Technology 1)
an acquisition unit that acquires plan information including at least a planning range for which smart planning is planned to be implemented;
a storage unit for storing measurement information including attribute information indicating measurable behavior data and arrangement location information indicating characteristics of a measurement location, relating to at least one measuring means for measuring behavior data for each attribute of a moving body; ,
Based on the measurement information, an evaluation level for evaluating smart planning that can be realized when the action data is measured by the measuring means at the measurement location included in the planning range is calculated, and the evaluation level in the planning range is calculated. An information processing device comprising: a computing unit that outputs support information for indicating
（技術２）
　前記評価レベルは、前記計画範囲に含まれる前記計測場所において前記計測手段により前記行動データを計測する場合に実現可能なスマートプランニングにより評価可能な少なくとも１つの項目に関する、スマートプランニングの程度を示す情報である、上記技術１に記載の情報処理装置。 (Technology 2)
The evaluation level is information indicating the degree of smart planning with respect to at least one item that can be evaluated by smart planning that can be implemented when the action data is measured by the measuring means at the measurement location included in the planning range. The information processing device according to Technology 1 above.
（技術３）
　前記演算部は、前記計画範囲の全体について前記評価レベルを算出する、上記技術１又は上記技術２に記載の情報処理装置。 (Technology 3)
The information processing apparatus according to Technology 1 or Technology 2, wherein the calculation unit calculates the evaluation level for the entire planning range.
（技術４）
　前記演算部は、前記計画範囲を分割した複数の領域又は前記計画範囲に対応する道路ネットワーク構造に沿った複数の領域それぞれについて前記評価レベルを算出する、上記技術１から上記技術３のうちのいずれかに記載の情報処理装置。 (Technology 4)
Any of the techniques 1 to 3, wherein the calculation unit calculates the evaluation level for each of a plurality of areas obtained by dividing the planning range or a plurality of areas along a road network structure corresponding to the planning range. 1. The information processing device according to claim 1.
（技術５）
　前記配置場所情報は、前記特性として、前記計測手段による計測可否、天候による計測への影響度、周辺建物による計測への影響度及び時間による計測への影響度のうちの少なくとも１つを含む、上記技術１から上記技術４のうちのいずれかに記載の情報処理装置。 (Technology 5)
The location information includes, as the characteristics, at least one of the following: propriety of measurement by the measuring means, degree of influence on measurement by weather, degree of influence on measurement by surrounding buildings, and degree of influence on measurement by time. The information processing apparatus according to any one of Techniques 1 to 4 above.
（技術６）
　前記属性情報は、計測可能な範囲、日没後の計測の可否、逆光時の計測の可否、通行量計測の可否、性別識別の可否、移動体モード識別の可否、笑顔識別の可否及び同伴者識別の可否のうちの少なくとも１つを含む、上記技術１から上記技術５のうちのいずれかに記載の情報処理装置。 (Technology 6)
The attribute information includes measurable range, availability of measurement after sunset, availability of measurement under backlight, availability of traffic measurement, availability of gender identification, availability of mobile mode identification, availability of smile identification, and companion identification. The information processing apparatus according to any one of techniques 1 to 5, including at least one of whether or not to
（技術７）
　前記計測情報は、予め前記行動データを計測した少なくとも１つの計測手段に関する情報を含む、上記技術１から上記技術６のうちのいずれかに記載の情報処理装置。 (Technology 7)
The information processing apparatus according to any one of Techniques 1 to 6, wherein the measurement information includes information about at least one measuring means that measures the behavior data in advance.
（技術８）
　前記演算部は、前記計測手段ごとの前記評価レベルに対する寄与度を算出し、算出された前記寄与度を前記支援情報として出力する、上記技術１から上記技術７のうちのいずれかに記載の情報処理装置。 (Technology 8)
The information according to any one of techniques 1 to 7, wherein the calculating unit calculates a degree of contribution to the evaluation level for each of the measuring means, and outputs the calculated degree of contribution as the support information. processing equipment.
（技術９）
　前記計測情報は、前記行動データを計測予定の少なくとも１つの計測手段に関する情報を含む、上記技術１から上記技術８のうちのいずれかに記載の情報処理装置。 (Technology 9)
The information processing apparatus according to any one of Techniques 1 to 8, wherein the measurement information includes information about at least one measurement means that is scheduled to measure the behavior data.
（技術１０）
　前記演算部は、前記配置場所情報に基づき、前記計画範囲のうちの前記計測手段による前記行動データの計測が不可能な計測場所を示すための支援情報を出力する、上記技術９に記載の情報処理装置。 (Technology 10)
The information according to Technology 9 above, wherein the computing unit outputs support information for indicating a measurement location within the planning range where the action data cannot be measured by the measurement means, based on the arrangement location information. processing equipment.
（技術１１）
　前記計画情報は、スマートプランニングにおける評価対象の項目を示す情報を含み、
　前記演算部は、前記評価レベルに対する前記評価対象の項目の寄与度に応じて推薦する計測手段及び計測場所を決定し、前記計画範囲における前記計測場所及び前記計測手段を示すための支援情報を出力する、上記技術９又は上記技術１０に記載の情報処理装置。 (Technology 11)
The plan information includes information indicating items to be evaluated in smart planning,
The computing unit determines a recommended measurement means and a measurement location according to the degree of contribution of the evaluation target item to the evaluation level, and outputs support information for indicating the measurement location and the measurement means in the planning range. The information processing apparatus according to Technology 9 or Technology 10 above.
（技術１２）
　前記記憶部は、前記計測情報と前記行動データの計測に要するコストとの対応を示すテーブルを格納し、
　前記演算部は、前記行動データを計測予定の少なくとも１つの計測手段それぞれに関して、前記評価レベルを増加させ、かつ、前記コストを減少させる最適化計算に基づき推薦する計測手段及び計測場所を決定し、前記計画範囲における前記計測場所及び前記計測手段を示すための支援情報を出力する、上記技術９から上記技術１１のうちのいずれかに記載の情報処理装置。 (Technology 12)
The storage unit stores a table showing the correspondence between the measurement information and the cost required for measuring the behavior data,
The computing unit determines recommended measurement means and measurement locations based on optimization calculations that increase the evaluation level and reduce the cost for each of at least one measurement means scheduled to measure the behavior data, The information processing apparatus according to any one of Techniques 9 to 11, wherein support information for indicating the measurement location and the measurement means in the planning range is output.
（技術１３）
　前記支援情報に基づき、前記計画範囲における前記評価レベルを示す表示画面を表示する表示部をさらに備える、上記技術１から上記技術１２のうちのいずれかに記載の情報処理装置。 (Technology 13)
The information processing apparatus according to any one of Techniques 1 to 12, further comprising a display unit that displays a display screen showing the evaluation level in the planning range based on the support information.
（技術１４）
　前記計測情報は、手計測、カメラ性能、公衆無線ＬＡＮ及びＥＴＣ２．０受信機のうちの少なくとも１つを含む計測手段の種類を示す情報を含む、上記技術１から上記技術１３のうちのいずれかに記載の情報処理装置。 (Technology 14)
Any one of the techniques 1 to 13 above, wherein the measurement information includes information indicating the type of measurement means including at least one of hand measurement, camera performance, public wireless LAN, and ETC 2.0 receiver. The information processing device according to .
（技術１５）
　前記計画範囲は、スマートプランニングの実施を計画している地図上の範囲であり、
　前記支援情報は、前記評価レベルを前記地図上に示すための情報である、
　上記技術１から上記技術１４のうちのいずれかに記載の情報処理装置。 (Technology 15)
The planning range is a range on the map where implementation of smart planning is planned,
The support information is information for indicating the evaluation level on the map,
The information processing apparatus according to any one of Technology 1 to Technology 14 above.
（技術１６）
　移動体の属性ごとの行動データを計測する少なくとも１つの計測手段に関する、計測可能な前記行動データを示す属性情報と、計測場所の特性を示す配置場所情報とを含む計測情報に基づいて算出された、スマートプランニングの実施を計画している計画範囲に含まれる前記計測場所において前記計測手段により前記行動データを計測する場合に実現可能なスマートプランニングを評価する評価レベルを前記計画範囲において示すための支援情報を取得する取得部と、
　前記支援情報に基づき、前記計画範囲における前記評価レベルを示す表示画面を表示する表示部と
　を具備する表示端末。 (Technology 16)
Calculated based on measurement information including attribute information indicating measurable action data and arrangement location information indicating characteristics of a measurement location, relating to at least one measurement means for measuring action data for each attribute of a moving body , support for indicating an evaluation level for evaluating feasible smart planning in the planning range when the action data is measured by the measuring means at the measurement location included in the planning range in which smart planning is planned to be implemented. an acquisition unit that acquires information;
and a display unit that displays a display screen showing the evaluation level in the planning range based on the support information.
（技術１７）
　スマートプランニングの実施を計画している計画範囲を少なくとも含む計画情報を取得することと、
　移動体の属性ごとの行動データを計測する少なくとも１つの計測手段に関する、計測可能な前記行動データを示す属性情報と、計測場所の特性を示す配置場所情報とを含む計測情報を格納することと、
　前記計測情報に基づいて、前記計画範囲に含まれる前記計測場所において前記計測手段により前記行動データを計測する場合に実現可能なスマートプランニングを評価する評価レベルを算出し、前記計画範囲における前記評価レベルを示すための支援情報を出力することと
　を含む情報処理方法。 (Technology 17)
obtaining planning information including at least a planning area for which smart planning is planned to be implemented;
storing measurement information including attribute information indicating measurable action data and arrangement location information indicating characteristics of a measurement location, regarding at least one measurement means for measuring action data for each attribute of a moving object;
Based on the measurement information, an evaluation level for evaluating smart planning that can be realized when the action data is measured by the measuring means at the measurement location included in the planning range is calculated, and the evaluation level in the planning range is calculated. and outputting supporting information to indicate the information processing method.
（技術１８）
　移動体の属性ごとの行動データを計測する少なくとも１つの計測手段に関する、計測可能な前記行動データを示す属性情報と、計測場所の特性を示す配置場所情報とを含む計測情報に基づいて算出された、スマートプランニングの実施を計画している計画範囲に含まれる前記計測場所において前記計測手段により前記行動データを計測する場合に実現可能なスマートプランニングを評価する評価レベルを前記計画範囲において示すための支援情報を取得することと、
　前記支援情報に基づき、前記計画範囲における前記評価レベルを示す表示画面を表示することと
　を含む表示方法。 (Technology 18)
Calculated based on measurement information including attribute information indicating measurable action data and arrangement location information indicating characteristics of a measurement location, relating to at least one measurement means for measuring action data for each attribute of a moving body , support for indicating an evaluation level for evaluating feasible smart planning in the planning range when the action data is measured by the measuring means at the measurement location included in the planning range in which smart planning is planned to be implemented. obtaining information;
and displaying a display screen showing the evaluation level in the planning range based on the support information.
　１　支援システム
　１ａ　情報処理装置
　１ｂ　表示端末
　１１　プロセッサ
　１２　メモリ
　１３　通信回路
　１４　ディスプレイ
　１５　タッチパネル
　１９　バス
　３　記憶部
　３１　センサ情報（属性情報）
　３２　センサ配置場所情報（配置場所情報）
　３３　評価レベル情報（支援情報）
　３４　地図情報
　５　入力部（取得部）
　７　評価レベル計算部（演算部）
　９　表示部
　９１０，９２０，９３０，９４０　表示画面 1 support system 1a information processing device 1b display terminal 11 processor 12 memory 13 communication circuit 14 display 15 touch panel 19 bus 3 storage unit 31 sensor information (attribute information)
32 sensor placement location information (placement location information)
33 Evaluation level information (support information)
34 map information 5 input unit (acquisition unit)
7 Evaluation level calculation unit (calculation unit)
9 display unit 910, 920, 930, 940 display screen

Claims (18)

  1. 　スマートプランニングの実施を計画している計画範囲を少なくとも含む計画情報を取得する取得部と、
    　移動体の属性ごとの行動データを計測する少なくとも１つの計測手段に関する、計測可能な前記行動データを示す属性情報と、計測場所の特性を示す配置場所情報とを含む計測情報を格納する記憶部と、
    　前記計測情報に基づいて、前記計画範囲に含まれる前記計測場所において前記計測手段により前記行動データを計測する場合に実現可能なスマートプランニングを評価する評価レベルを算出し、前記計画範囲における前記評価レベルを示すための支援情報を出力する演算部と
    　を具備する情報処理装置。     an acquisition unit that acquires plan information including at least a planning range for which smart planning is planned to be implemented;
    a storage unit for storing measurement information including attribute information indicating measurable behavior data and arrangement location information indicating characteristics of a measurement location, relating to at least one measuring means for measuring behavior data for each attribute of a moving body; ,
    Based on the measurement information, an evaluation level for evaluating smart planning that can be realized when the action data is measured by the measuring means at the measurement location included in the planning range is calculated, and the evaluation level in the planning range is calculated. and an information processing device comprising: a calculation unit that outputs support information for indicating
  2. 　前記評価レベルは、前記計画範囲に含まれる前記計測場所において前記計測手段により前記行動データを計測する場合に実現可能なスマートプランニングにより評価可能な少なくとも１つの項目に関する、スマートプランニングの程度を示す情報である、請求項１に記載の情報処理装置。 The evaluation level is information indicating the degree of smart planning with respect to at least one item that can be evaluated by smart planning that can be implemented when the action data is measured by the measuring means at the measurement location included in the planning range. 2. The information processing apparatus according to claim 1, comprising:
  3. 　前記演算部は、前記計画範囲の全体について前記評価レベルを算出する、請求項１に記載の情報処理装置。 The information processing apparatus according to claim 1, wherein the calculation unit calculates the evaluation level for the entire planning range.
  4. 　前記演算部は、前記計画範囲を分割した複数の領域又は前記計画範囲に対応する道路ネットワーク構造に沿った複数の領域それぞれについて前記評価レベルを算出する、請求項１に記載の情報処理装置。 The information processing apparatus according to claim 1, wherein the calculation unit calculates the evaluation level for each of a plurality of areas obtained by dividing the planning range or a plurality of areas along a road network structure corresponding to the planning range.
  5. 　前記配置場所情報は、前記特性として、前記計測手段による計測可否、天候による計測への影響度、周辺建物による計測への影響度及び時間による計測への影響度のうちの少なくとも１つを含む、請求項１に記載の情報処理装置。 The location information includes, as the characteristics, at least one of the following: propriety of measurement by the measuring means, degree of influence on measurement by weather, degree of influence on measurement by surrounding buildings, and degree of influence on measurement by time. The information processing device according to claim 1 .
  6. 　前記属性情報は、計測可能な範囲、日没後の計測の可否、逆光時の計測の可否、通行量計測の可否、性別識別の可否、移動体モード識別の可否、笑顔識別の可否及び同伴者識別の可否のうちの少なくとも１つを含む、請求項１に記載の情報処理装置。 The attribute information includes measurable range, availability of measurement after sunset, availability of measurement under backlight, availability of traffic measurement, availability of gender identification, availability of mobile mode identification, availability of smile identification, and companion identification. 2. The information processing apparatus according to claim 1, comprising at least one of whether or not to
  7. 　前記計測情報は、予め前記行動データを計測した少なくとも１つの計測手段に関する情報を含む、請求項１に記載の情報処理装置。 The information processing apparatus according to claim 1, wherein the measurement information includes information on at least one measurement means that has measured the behavior data in advance.
  8. 　前記演算部は、前記計測手段ごとの前記評価レベルに対する寄与度を算出し、算出された前記寄与度を前記支援情報として出力する、請求項１に記載の情報処理装置。 The information processing apparatus according to claim 1, wherein said calculation unit calculates a degree of contribution to said evaluation level for each of said measuring means, and outputs said calculated degree of contribution as said support information.
  9. 　前記計測情報は、前記行動データを計測予定の少なくとも１つの計測手段に関する情報を含む、請求項１に記載の情報処理装置。 The information processing apparatus according to claim 1, wherein the measurement information includes information on at least one measurement means scheduled to measure the behavior data.
  10. 　前記演算部は、前記配置場所情報に基づき、前記計画範囲のうちの前記計測手段による前記行動データの計測が不可能な計測場所を示すための支援情報を出力する、請求項９に記載の情報処理装置。 10. The information according to claim 9, wherein said calculation unit outputs support information for indicating a measurement location within said planning range where said action data cannot be measured by said measurement means, based on said arrangement location information. processing equipment.
  11. 　前記計画情報は、スマートプランニングにおける評価対象の項目を示す情報を含み、
    　前記演算部は、前記評価レベルに対する前記評価対象の項目の寄与度に応じて推薦する計測手段及び計測場所を決定し、前記計画範囲における前記計測場所及び前記計測手段を示すための支援情報を出力する、請求項９に記載の情報処理装置。     The plan information includes information indicating items to be evaluated in smart planning,
    The computing unit determines a recommended measurement means and a measurement location according to the degree of contribution of the evaluation target item to the evaluation level, and outputs support information for indicating the measurement location and the measurement means in the planning range. 10. The information processing apparatus according to claim 9.
  12. 　前記記憶部は、前記計測情報と前記行動データの計測に要するコストとの対応を示すテーブルを格納し、
    　前記演算部は、前記行動データを計測予定の少なくとも１つの計測手段それぞれに関して、前記評価レベルを増加させ、かつ、前記コストを減少させる最適化計算に基づき推薦する計測手段及び計測場所を決定し、前記計画範囲における前記計測場所及び前記計測手段を示すための支援情報を出力する、請求項９に記載の情報処理装置。     The storage unit stores a table showing the correspondence between the measurement information and the cost required for measuring the behavior data,
    The computing unit determines recommended measurement means and measurement locations based on optimization calculations that increase the evaluation level and reduce the cost for each of at least one measurement means scheduled to measure the behavior data, 10. The information processing apparatus according to claim 9, which outputs support information for indicating said measurement location and said measurement means in said planned range.
  13. 　前記支援情報に基づき、前記計画範囲における前記評価レベルを示す表示画面を表示する表示部をさらに備える、請求項１に記載の情報処理装置。 The information processing apparatus according to claim 1, further comprising a display unit that displays a display screen showing the evaluation level in the planning range based on the support information.
  14. 　前記計測情報は、手計測、カメラ性能、公衆無線ＬＡＮ及びＥＴＣ２．０受信機のうちの少なくとも１つを含む計測手段の種類を示す情報を含む、請求項１に記載の情報処理装置。 The information processing apparatus according to claim 1, wherein the measurement information includes information indicating the type of measurement means including at least one of hand measurement, camera performance, public wireless LAN, and ETC2.0 receiver.
  15. 　前記計画範囲は、スマートプランニングの実施を計画している地図上の範囲であり、
    　前記支援情報は、前記評価レベルを前記地図上に示すための情報である、
    　請求項１に記載の情報処理装置。     The planning range is a range on the map where implementation of smart planning is planned,
    The support information is information for indicating the evaluation level on the map,
    The information processing device according to claim 1 .
  16. 　移動体の属性ごとの行動データを計測する少なくとも１つの計測手段に関する、計測可能な前記行動データを示す属性情報と、計測場所の特性を示す配置場所情報とを含む計測情報に基づいて算出された、スマートプランニングの実施を計画している計画範囲に含まれる前記計測場所において前記計測手段により前記行動データを計測する場合に実現可能なスマートプランニングを評価する評価レベルを前記計画範囲において示すための支援情報を取得する取得部と、
    　前記支援情報に基づき、前記計画範囲における前記評価レベルを示す表示画面を表示する表示部と
    　を具備する表示端末。     Calculated based on measurement information including attribute information indicating measurable action data and arrangement location information indicating characteristics of a measurement location, relating to at least one measurement means for measuring action data for each attribute of a moving body , support for indicating an evaluation level for evaluating feasible smart planning in the planning range when the action data is measured by the measuring means at the measurement location included in the planning range in which smart planning is planned to be implemented. an acquisition unit that acquires information;
    and a display unit that displays a display screen showing the evaluation level in the planning range based on the support information.
  17. 　スマートプランニングの実施を計画している計画範囲を少なくとも含む計画情報を取得することと、
    　移動体の属性ごとの行動データを計測する少なくとも１つの計測手段に関する、計測可能な前記行動データを示す属性情報と、計測場所の特性を示す配置場所情報とを含む計測情報を格納することと、
    　前記計測情報に基づいて、前記計画範囲に含まれる前記計測場所において前記計測手段により前記行動データを計測する場合に実現可能なスマートプランニングを評価する評価レベルを算出し、前記計画範囲における前記評価レベルを示すための支援情報を出力することと
    　を含む情報処理方法。     obtaining planning information including at least a planning area for which smart planning is planned to be implemented;
    storing measurement information including attribute information indicating measurable action data and arrangement location information indicating characteristics of a measurement location, regarding at least one measurement means for measuring action data for each attribute of a moving object;
    Based on the measurement information, an evaluation level for evaluating smart planning that can be realized when the action data is measured by the measuring means at the measurement location included in the planning range is calculated, and the evaluation level in the planning range is calculated. and outputting supporting information to indicate the information processing method.
  18. 　移動体の属性ごとの行動データを計測する少なくとも１つの計測手段に関する、計測可能な前記行動データを示す属性情報と、計測場所の特性を示す配置場所情報とを含む計測情報に基づいて算出された、スマートプランニングの実施を計画している計画範囲に含まれる前記計測場所において前記計測手段により前記行動データを計測する場合に実現可能なスマートプランニングを評価する評価レベルを前記計画範囲において示すための支援情報を取得することと、
    　前記支援情報に基づき、前記計画範囲における前記評価レベルを示す表示画面を表示することと
    　を含む表示方法。     Calculated based on measurement information including attribute information indicating measurable action data and arrangement location information indicating characteristics of a measurement location, relating to at least one measurement means for measuring action data for each attribute of a moving body , support for indicating an evaluation level for evaluating feasible smart planning in the planning range when the action data is measured by the measuring means at the measurement location included in the planning range in which smart planning is planned to be implemented. obtaining information;
    and displaying a display screen showing the evaluation level in the planning range based on the support information.
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WO2014203391A1 (en) * 2013-06-21 2014-12-24 株式会社日立製作所 Traffic action estimation system and traffic system
US20160048810A1 (en) * 2014-03-18 2016-02-18 Fujitsu Limited Extracting method, recommending method, information processing apparatus and method for decision support on road repair method
JP2019082766A (en) * 2017-10-27 2019-05-30 株式会社日立製作所 Public transportation operation planning device, public transportation operation planning method, and public transportation operation planning system

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Publication number Priority date Publication date Assignee Title
WO2014203391A1 (en) * 2013-06-21 2014-12-24 株式会社日立製作所 Traffic action estimation system and traffic system
US20160048810A1 (en) * 2014-03-18 2016-02-18 Fujitsu Limited Extracting method, recommending method, information processing apparatus and method for decision support on road repair method
JP2019082766A (en) * 2017-10-27 2019-05-30 株式会社日立製作所 Public transportation operation planning device, public transportation operation planning method, and public transportation operation planning system

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