WO2014103081A1 - Display control device, display control method, display control program, display control system, display control server, and terminal - Google Patents

Display control device, display control method, display control program, display control system, display control server, and terminal Download PDF

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Publication number
WO2014103081A1
WO2014103081A1 PCT/JP2012/084240 JP2012084240W WO2014103081A1 WO 2014103081 A1 WO2014103081 A1 WO 2014103081A1 JP 2012084240 W JP2012084240 W JP 2012084240W WO 2014103081 A1 WO2014103081 A1 WO 2014103081A1
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WO
WIPO (PCT)
Prior art keywords
speed
display control
congestion
predetermined
speed information
Prior art date
Application number
PCT/JP2012/084240
Other languages
French (fr)
Japanese (ja)
Inventor
廣瀬 智博
英士 松永
福田 達也
安士 光男
進 大沢
Original Assignee
パイオニア株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by パイオニア株式会社 filed Critical パイオニア株式会社
Priority to PCT/JP2012/084240 priority Critical patent/WO2014103081A1/en
Publication of WO2014103081A1 publication Critical patent/WO2014103081A1/en

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements for on-board computers
    • G01C21/3691Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • G08G1/0133Traffic data processing for classifying traffic situation
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096708Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
    • G08G1/096716Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information does not generate an automatic action on the vehicle control
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096733Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
    • G08G1/09675Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where a selection from the received information takes place in the vehicle
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096766Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
    • G08G1/096775Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station

Definitions

  • the present invention relates to a display control device, a display control method, a display control program, a display control system, a display control server, and a terminal that display information related to traffic jams on a map.
  • utilization of this invention is not restricted to a display control apparatus, a display control method, a display control program, a display control system, a display control server, and a terminal.
  • Patent Document 1 a display device that displays traffic information of an area designated on a map is known (see, for example, Patent Document 1 below).
  • the map to be displayed is divided into meshes, and the traffic information for each link in the VICS (Vehicle Information and Communication System: registered trademark) included in this mesh is used according to the degree of congestion for each mesh. Display.
  • VICS Vehicle Information and Communication System: registered trademark
  • the degree of traffic congestion is displayed in different colors in units of meshes including links using the VICS traffic congestion information, that is, the average speed of the links. For this reason, there is a risk that it may be determined that the link is congested based on the low average speed even if there is a link that is not congested, and the link speed is actually small. Thus, when displaying the degree of congestion, simply using the average speed cannot display appropriate traffic jam information, and the accuracy of the traffic jam information cannot be improved.
  • the display control device is a display control device that displays information related to traffic jams superimposed on a map displayed on a display unit
  • the first acquisition unit that acquires the first speed information related to the speed of the moving body that moves in each of the plurality of predetermined sections on the map, and the speed may be limited due to congestion in each of the plurality of predetermined sections.
  • a second acquisition unit configured to acquire second speed information related to a speed at which the moving body moves in each of the predetermined sections in a predetermined environment, and based on the first speed information and the second speed information.
  • a display control unit that displays an area indicating the degree of traffic congestion on the map displayed on the display unit.
  • a display control method according to a display control method implemented by a display control device that superimposes and displays information related to a traffic jam on a map displayed on a display unit.
  • the display control program according to the invention of claim 6 causes a computer to execute the display control method according to claim 5.
  • the display control system is a display control system comprising a terminal and a server that is communicatively connected to the terminal.
  • the terminal moves in each of a plurality of predetermined sections on a map.
  • the first acquisition unit that acquires the first speed information related to the speed of the moving body and transmits the first speed information to the server, and the predetermined predetermined environment in which the speed is not limited by traffic jams in each of the plurality of predetermined sections
  • a second acquisition unit that acquires second speed information related to a speed when the moving body moves in each section, and transmits the second speed information to the server; and a display unit that displays the map information and the traffic jam information.
  • a display control unit configured to generate display data of a region indicating a predetermined degree of congestion based on the first speed information and the second speed information and to display the display data on the display unit of the terminal; It is characterized in.
  • the display control server includes first speed information relating to a speed of a moving body that moves in each of a plurality of predetermined sections on the map acquired by the terminal, and each of the plurality of predetermined sections. , Display data of a region indicating a predetermined degree of traffic congestion based on second speed information relating to a speed when the moving body moves in each of the predetermined sections in a predetermined environment where the speed is not limited by traffic jam Is generated and displayed on the display unit of the terminal.
  • a terminal that acquires first speed information related to a speed of a moving body that moves in each of a plurality of predetermined sections on a map, and transmits the first speed information to a server; In each of the predetermined sections, second speed information relating to the speed at which the moving body moves in each of the predetermined sections in a predetermined environment where the speed is not limited by traffic congestion is transmitted to the server.
  • a second acquisition unit and a display unit that displays map information and traffic jam information.
  • the server displays a region indicating a predetermined traffic jam level based on the first speed information and the second speed information. Data is generated, and the generated display data is displayed on the display unit.
  • FIG. 1 is a block diagram of an example of a functional configuration of the display control apparatus according to the first embodiment.
  • FIG. 2 is a flowchart of an example of a processing procedure of the display control apparatus according to the first embodiment.
  • FIG. 3 is a block diagram illustrating an example of a hardware configuration of the navigation device.
  • FIG. 4 is an explanatory diagram schematically illustrating an example of calculating an average speed between points by the navigation device.
  • FIG. 5 is a chart showing information stored in association with each node.
  • FIG. 6 is an explanatory diagram of an example in which a congestion point by the navigation device is indicated by longitude-latitude.
  • FIG. 7 is an explanatory diagram of an example in which a congestion point by the navigation device is indicated by mesh data.
  • FIG. 1 is a block diagram of an example of a functional configuration of the display control apparatus according to the first embodiment.
  • FIG. 2 is a flowchart of an example of a processing procedure of the display control apparatus according to the first embodiment.
  • FIG. 8 is an explanatory diagram illustrating an example of a closing process performed by the navigation device.
  • FIG. 9 is an explanatory diagram schematically showing an example of the closing process by the navigation device.
  • FIG. 10 is an explanatory diagram schematically showing an example of extraction of a vehicle traffic jam range by the navigation device.
  • FIG. 11 is an explanatory diagram schematically illustrating an example of mesh data after the vehicle traffic jam area extraction by the navigation device.
  • FIG. 12 is a diagram showing a contour display screen of a traffic jam by the navigation device.
  • FIG. 13 is a block diagram of an example of a functional configuration of the display control system according to the second embodiment.
  • FIG. 1 is a block diagram of an example of a functional configuration of the display control apparatus according to the first embodiment.
  • the display control apparatus 100 displays information related to traffic jams by superimposing the information on a map displayed on the display unit, and includes a first acquisition unit 101, a second acquisition unit 102, and a display control unit 103. including.
  • a storage unit 105 that stores map information
  • a dividing unit 104 that divides map information
  • a calculation unit 106 may be provided.
  • Reference numeral 107 denotes a display unit that displays the output of the display control unit 103.
  • the 1st acquisition part 101 acquires the 1st speed information about the speed of the mobile which moves each of a plurality of predetermined sections on a map.
  • the first speed information indicates the current speed (actual speed V) of the moving object.
  • the speed of the probe car moving in a predetermined section, the average speed of the link output by the VICS, the predicted speed, and the like may be acquired through communication.
  • the second acquisition unit 102 is a second unit that relates to a speed at which the moving body moves in each of the predetermined sections in a predetermined environment where the speed is not limited by traffic jams in each of the plurality of predetermined sections on the map.
  • Get speed information For example, the predetermined environment is nighttime when the number of traveling vehicles is small, and the second speed information can be speed information indicating an average of the moving speeds of the moving bodies in each of the predetermined sections at nighttime. As described above, the second speed information indicates a speed (static speed V0) at which the speed is not limited due to the traffic jam for a predetermined section.
  • the second acquisition unit 102 determines the speed of the moving body that has moved the fastest in a day (or the average of moving objects in the time zone in which the moving body can move the fastest in the day) in each of the predetermined sections. May be acquired as the second speed information.
  • the display control unit 103 superimposes and displays an area indicating a predetermined degree of traffic congestion on the map displayed on the display unit 107 based on the first speed information and the second speed information. This degree of traffic jam is obtained for each predetermined point (for example, node) on the map (map information).
  • the dividing unit 104 divides the map area to be displayed based on the map information into a plurality of first areas.
  • the first area is each area obtained by dividing the map into a plurality of meshes at a predetermined scale.
  • the calculation unit 106 determines whether or not the first area has a predetermined congestion degree. For example, the calculation unit 106 obtains the degree of congestion by comparing the second speed information (static speed V0) with the first speed information (actual speed V). If the degree of congestion is compared with a predetermined threshold and exceeds the threshold, it is determined that the mesh in the first region is congested.
  • the display control unit 103 generates a contour indicating the second area indicating the predetermined degree of traffic congestion based on the traffic congestion level at the points included in each of the first areas, and causes the display unit 107 to display the contour.
  • FIG. 2 is a flowchart of an example of a processing procedure of the display control apparatus according to the first embodiment.
  • the display control apparatus 100 acquires first speed information (actual speed V) actually moved in a predetermined section (step S201).
  • second speed information static speed V0 in the same predetermined section is acquired (step S202).
  • the display control apparatus 100 divides map information in a predetermined range including a predetermined section into a plurality of meshes (first areas) (step S203). For example, map information composed of raster data is converted into image data having a predetermined number of dots on the X and Y axes.
  • the degree of traffic congestion is calculated for each mesh (first region) (step S204).
  • the display control device 100 compares the degree of congestion C (V) of the first region with a predetermined threshold Cth and determines whether or not each mesh is congested. If the degree of congestion exceeds the threshold, it is determined that the first area is congested.
  • the range for calculating the degree of congestion is calculated for the range from the current location to the destination.
  • the range for calculating the degree of traffic congestion may be a range that can be reached within a specified required time from the current point, or may be infinite.
  • the first speed information and the second speed information are linked to the node for each node of the route candidate from the current point to the destination.
  • the degree of congestion for each mesh (first region) including the node can be obtained, and the degree of congestion can be obtained.
  • Each node may store the first speed information and the congestion degree calculated using the second speed information in association with each other. Further, when the degree of congestion is associated with each node and stored, time information (for example, time relating to the first speed information) may be further associated and stored.
  • each node stores the first speed information V from the current position, for example, the estimated arrival time (cumulative time via a plurality of nodes) reaching the node based on the average speed between nodes obtained by VICS, for example. I can keep it.
  • a search is performed to minimize the time required from the current point to the destination.
  • the contour of each mesh area (second area) in which the degree of congestion of the points included in each mesh is equal to or greater than a threshold value is calculated (step S205). Then, the calculated contour is displayed over the map (step S206), and the process ends. Here, the calculated contour is displayed on the map with its position and scale matched. At this time, the inside of the contour may be filled. If you paint in a semi-transparent color, you can see the map displayed below. In addition, when displaying the contours of the degree of traffic congestion in multiple stages, it is sufficient to prepare a plurality of the above-mentioned thresholds, so that the contours of the areas of each mesh where the traffic congestion degrees of the points included in each mesh match are calculated. It may be.
  • a congested area can be displayed with an outline, and the congested portion can be easily visually recognized.
  • the congestion level threshold the presence or absence of traffic congestion can be determined, and if there are multiple thresholds, multiple levels of traffic congestion can be determined.
  • the time information along with the degree of congestion is further linked to each node and stored, it is possible to calculate a traffic jam area at each time.
  • the degree of traffic congestion is calculated by comparing the speed when traveling in a predetermined section (actual speed V) with the speed (static speed V0) that can be traveled when there is no traffic jam. As a result, the actual degree of congestion can be shown for each predetermined section.
  • the actual congestion degree can be shown for each mesh including a predetermined section, and the congestion range can be appropriately conveyed to the user by the displayed outline of the congestion degree.
  • FIG. 3 is a block diagram illustrating an example of a hardware configuration of the navigation device.
  • a navigation device 300 includes a CPU 301, ROM 302, RAM 303, magnetic disk drive 304, magnetic disk 305, optical disk drive 306, optical disk 307, audio I / F (interface) 308, microphone 309, speaker 310, input device 311, A video I / F 312, a display 313, a camera 314, a communication I / F 315, a GPS unit 316, and various sensors 317 are provided.
  • Each component 301 to 317 is connected by a bus 320.
  • the CPU 301 governs overall control of navigation device 300.
  • the ROM 302 records programs such as a boot program, a contour calculation program, a search program, and a display program.
  • the RAM 303 is used as a work area for the CPU 301. That is, the CPU 301 controls the entire navigation device 300 by executing various programs recorded in the ROM 302 while using the RAM 303 as a work area.
  • the contour calculation program creates mesh data obtained by dividing map data, calculates the degree of traffic jam in a predetermined section based on the traffic jam information, and calculates the contour connecting meshes with the same traffic jam level.
  • the search program performs a search that minimizes the time required from the current point to the destination in consideration of the degree of traffic jam.
  • the display 313 displays the display data in which the contour indicating the degree of traffic congestion is superimposed on the map, the searched route, and the like.
  • the magnetic disk drive 304 controls the reading / writing of the data with respect to the magnetic disk 305 according to control of CPU301.
  • the magnetic disk 305 records data written under the control of the magnetic disk drive 304.
  • an HD hard disk
  • FD flexible disk
  • the optical disk drive 306 controls reading / writing of data with respect to the optical disk 307 according to the control of the CPU 301.
  • the optical disk 307 is a detachable recording medium from which data is read according to the control of the optical disk drive 306.
  • a writable recording medium can be used as the optical disc 307.
  • an MO, a memory card, or the like can be used as a removable recording medium.
  • Examples of information recorded on the magnetic disk 305 and the optical disk 307 include map data, vehicle information, road information, travel history, and the like.
  • Map data is used when searching for a reachable point of a vehicle in a car navigation system, or when displaying a traffic jam area of a vehicle.
  • Background data representing features (features) such as buildings, rivers, and the ground surface, roads
  • This is vector data including road shape data that represents the shape of the road as a link or a node.
  • the travel history is information on past traffic jams, for example, data such as travel time between links traveled in the past and link speed.
  • the voice I / F 308 is connected to a microphone 309 for voice input and a speaker 310 for voice output.
  • the sound received by the microphone 309 is A / D converted in the sound I / F 308.
  • the microphone 309 is installed in a dashboard portion of a vehicle, and the number thereof may be one or more. From the speaker 310, a sound obtained by D / A converting a predetermined sound signal in the sound I / F 308 is output.
  • the input device 311 includes a remote controller, a keyboard, a touch panel, and the like provided with a plurality of keys for inputting characters, numerical values, various instructions, and the like.
  • the input device 311 may be realized by any one form of a remote control, a keyboard, and a touch panel, but can also be realized by a plurality of forms.
  • the video I / F 312 is connected to the display 313. Specifically, the video I / F 312 is output from, for example, a graphic controller that controls the entire display 313, a buffer memory such as a VRAM (Video RAM) that temporarily records image information that can be displayed immediately, and a graphic controller. And a control IC for controlling the display 313 based on the image data to be processed.
  • a graphic controller that controls the entire display 313, a buffer memory such as a VRAM (Video RAM) that temporarily records image information that can be displayed immediately, and a graphic controller.
  • VRAM Video RAM
  • the display 313 displays icons, cursors, menus, windows, or various data such as characters and images.
  • a TFT liquid crystal display, an organic EL display, or the like can be used as the display 313, for example.
  • the camera 314 captures images inside or outside the vehicle.
  • the image may be either a still image or a moving image.
  • the outside of the vehicle is photographed by the camera 314, and the photographed image is analyzed by the CPU 301, or a recording medium such as the magnetic disk 305 or the optical disk 307 via the video I / F 312 Or output to
  • the communication I / F 315 is connected to a network via wireless and functions as an interface between the navigation device 300 and the CPU 301.
  • Communication networks that function as networks include in-vehicle communication networks such as CAN and LIN (Local Interconnect Network), public line networks and mobile phone networks, DSRC (Dedicated Short Range Communication), LAN, and WAN.
  • the communication I / F 315 is, for example, a public line connection module, an ETC (non-stop automatic fee payment system) unit, an FM tuner, a VICS / beacon receiver, or the like.
  • the GPS unit 316 receives radio waves from GPS satellites and outputs information indicating the current location of the vehicle.
  • the output information of the GPS unit 316 is used when the CPU 301 calculates the current location of the vehicle together with output values of various sensors 317 described later.
  • the information indicating the current location is information specifying one point on the map data, such as latitude / longitude and altitude.
  • Various sensors 317 output information for determining the position and behavior of the vehicle, such as a vehicle speed sensor, an acceleration sensor, an angular velocity sensor, and a tilt sensor.
  • the output values of the various sensors 317 are used by the CPU 301 to calculate the current position of the vehicle and the amount of change in speed and direction.
  • the first acquisition unit 101, the second acquisition unit 102, the display control unit 103, the division unit 104, and the calculation unit 106 of the display control apparatus 100 illustrated in FIG. 1 are the ROM 302, the RAM 303, the magnetic disk 305, the navigation device 300 described above.
  • the CPU 301 executes a predetermined program and controls each part in the navigation device 300 to realize its function.
  • the contour calculation for displaying the degree of traffic jam includes the following processes. (1) Acquisition of first information and second information in a predetermined section (2) Calculation of congestion degree in a predetermined section (3) Mesh division of map data and determination of mesh congestion degree (4) Between meshes of the same congestion degree Contour generation that connects
  • the navigation device 300 has each node as a degree of traffic congestion with respect to a route from the current point of the vehicle on which the device is mounted to the destination. The arrival time until is calculated.
  • FIG. 4 is an explanatory diagram schematically showing an example of calculating an average speed between points by the navigation device
  • FIG. 5 is a chart showing information stored in association with each node.
  • nodes for example, intersections
  • links predetermined sections on the road
  • the navigation device 300 first acquires first speed information (actual speed V) and second speed information (static speed V0) for the link L1_1 closest to the current location 400 of the vehicle.
  • first speed information will be described using an average speed of a link output by the VICS.
  • second speed information is a speed at which the speed is not limited by traffic congestion, for example, a night speed with a small number of traveling vehicles.
  • the navigation device 300 obtains the arrival time (cumulative time from the current point) based on the first speed information (average speed of the link). Then, the navigation device 300 associates the first speed information (for example, the average speed of the link) shown in FIG. 5, the second speed information, and the accumulated time as information of the node N1_1 connected to the link L1_1, and stores the storage device. Write to (magnetic disk 305 or optical disk 307).
  • the first speed information calculated for the link L1_1 is data obtained by statistically processing information related to past traffic jams (movement time and link speed between links) and current traffic jam information obtained from VICS or the like. You may estimate based on.
  • the arrival time of the node N1_1 is obtained by adding the travel time calculated based on the average speed of the link L1_1 to the current time of the current location.
  • the navigation device 300 searches for all the links L2_1, L2_2, and L2_3 connected to the node N1_1, and calculates the arrival time of the links L2_1 and the links L1_1 accumulated for the link L2_1 as described above. Then, as information of the node N2_1 connected to the link L2_1, the first speed information, the second speed information, and the arrival time are linked and written to the storage device. Thereafter, the same processing is performed for other links.
  • information on the degree of congestion calculated from the first speed information and the second speed information may be linked and stored. Good. By storing the degree of congestion, the storage area can be reduced.
  • the navigation device 300 of this embodiment determines the degree of congestion using the first speed information V and the second speed information V0 for each predetermined section, that is, for each node.
  • a different predetermined correction coefficient ⁇ may be used for each factor that affects traffic congestion such as location and date / time.
  • the degree of congestion C (V) is compared with a predetermined threshold Cth to determine whether or not it is congested. If the degree of congestion exceeds the threshold, it is determined that the predetermined section is congested.
  • the degree of congestion can be divided into a plurality of levels by setting a plurality of threshold values.
  • the navigation apparatus 300 divides map data stored in a storage device. Specifically, the navigation device 300 converts map data composed of vector data into, for example, 64 ⁇ 64 dot mesh data (X, Y), and converts the map data into raster data (image data).
  • FIG. 6 is an explanatory diagram of an example showing the congestion point by the navigation device in longitude-latitude.
  • FIG. 6 illustrates longitude / latitude information (x, y) of a plurality of points in absolute coordinates.
  • the navigation device 300 first generates longitude / latitude information (x, y) having a point group 600 in absolute coordinates based on the longitude x and latitude y of each of a plurality of traffic congestion points.
  • the origin (0, 0) of the longitude / latitude information (x, y) is at the lower left of FIG.
  • the navigation device 300 calculates the distances w1 and w2 from the longitude ofx of the current point 400 of the vehicle to the maximum longitude x_max and the minimum longitude x_min of the traffic congestion point farthest in the longitude x direction.
  • the navigation device 300 calculates the distances w3 and w4 from the latitude of the current location 400 of the vehicle to the maximum latitude y_max and the minimum latitude y_min of the traffic congestion point farthest in the latitude y direction.
  • FIG. 7 is an explanatory diagram of an example showing the congestion point by the navigation device as mesh data.
  • mesh data (X, Y) of 64 ⁇ 64 dots to which information (identification information) on a traffic jam point is given is illustrated in screen coordinates.
  • the current location 400 of the vehicle is configured by mesh data (X, Y) of m ⁇ m dots.
  • one dot is drawn in white, for example).
  • one area of certain mesh data (X, Y) includes at least one congestion point (link) that does not exceed the threshold Cth and has a low congestion level, this mesh is congested. For example, “0” may be assigned to the mesh as identification information.
  • the navigation apparatus 300 calculates an average value Cav of the degree of congestion of a plurality of links included in a certain mesh data (X, Y). Then, the average value Cav is compared with the threshold value Cth. When the average value Cav exceeds the threshold value Cth, it is determined that the mesh is congested, and for example, “1” is given to the mesh as identification information.
  • the navigation apparatus 300 creates a histogram relating to the degree of congestion of a plurality of links included in a certain mesh data (X, Y). If the number of links exceeding the threshold Cth (the number of traffic congestion points) is equal to or greater than a certain value, it is determined that this mesh is congested, and “1”, for example, is assigned to this mesh as identification information.
  • the navigation device 300 converts the map data into mesh data of two-dimensional matrix data (Y, X) of m rows and m columns, each of which is provided with identification information indicating the presence or absence of traffic jams in each region.
  • Data is handled as binarized raster data.
  • Each area of the mesh data is represented by a rectangular area within a certain range. Specifically, as shown in FIG. 7, for example, m ⁇ m dot mesh data (X, Y) in which a point cloud 700 of a plurality of traffic points is drawn in black is generated. The origin (0, 0) of the mesh data (X, Y) is at the upper left.
  • the navigation apparatus 300 changes the identification information given to each area of the m ⁇ m dot mesh data (X, Y) divided as described above. Specifically, the navigation apparatus 300 performs a closing process (a process for performing a reduction process after the expansion process) on mesh data of two-dimensional matrix data (Y, X) of m rows and m columns.
  • FIG. 8 is an explanatory diagram showing an example of a closing process by the navigation device.
  • 8A to 8C are mesh data of two-dimensional matrix data (Y, X) of m rows and m columns in which identification information is assigned to each region.
  • FIG. 8A shows mesh data 800 to which identification information is given for the first time after map data division processing. That is, the mesh data 800 shown in FIG. 8A is the same as the mesh data shown in FIG.
  • FIG. 8B shows mesh data 810 after the closing process (expansion) is performed on the mesh data 800 shown in FIG. 8A.
  • FIG. 8C shows mesh data 820 after the closing process (reduction) is performed on the mesh data 810 shown in FIG. 8B.
  • the traffic jam range 801 of the vehicle generated by a plurality of areas to which identification information of traffic jam occurrence (the traffic jam degree is high) is given.
  • 811 and 821 are shown in black.
  • a missing point 802 (hatched traffic jam) corresponding to a region where the traffic jam has not occurred (the traffic jam degree is low) included in the traffic jam range 801 is included.
  • a white background portion in the range 801 is generated.
  • the missing point 802 is generated, for example, when the number of nodes that are congested points decreases when roads for searching for nodes and links are narrowed down in order to reduce the load of the point search process by the navigation device 300.
  • the navigation device 300 performs a closing expansion process on the mesh data 800 after the identification information is added.
  • the identification information of one area (area where no congestion has occurred) adjacent to the area to which the identification information indicating the occurrence of congestion is added in the mesh data 800 after the identification information is added has congestion. Changed to identification information.
  • the missing point 802 generated in the traffic congestion range 801 before the expansion process (after the identification information is given) disappears.
  • the identification information of all areas adjacent to the outermost (contour) area of the traffic jam area 801 of the vehicle before the expansion process is changed to the traffic jam occurrence identification information. For this reason, the outer periphery of the traffic jam area 811 after the expansion process is expanded by one dot so as to surround the outer periphery of each outermost area of the traffic jam area 801 of the vehicle before the expansion process every time the expansion process is performed.
  • the navigation device 300 performs a closing reduction process on the mesh data 810.
  • the closing reduction process the identification information of one area adjacent to the area to which the identification information on the occurrence of traffic jam is added in the mesh data 810 after the expansion process is changed to the identification information on which no traffic jam has occurred.
  • each area on the outermost periphery of the congested range 811 of the vehicle after the expansion process becomes a non-congested area by one dot every time the reduction process is performed, and the outer periphery of the congested range 811 of the vehicle after the expansion process is Shrink.
  • the outer periphery of the traffic jam area 821 after the reduction process is substantially the same as the outer circumference of the traffic jam area 801 before the expansion process.
  • Navigation device 300 performs the above-described expansion process and reduction process the same number of times. Specifically, when the expansion process is performed twice, the subsequent reduction process is also performed twice. By equalizing the number of times of expansion processing and reduction processing, the identification information of almost all areas outside the traffic jam area of the vehicle that has been changed to the identification information of the occurrence of traffic congestion by the expansion processing is restored to the original traffic congestion by the reduction processing. It can be changed to unidentified identification information. In this way, the navigation device 300 can remove the missing point 802 in the traffic jam range of the vehicle and generate the traffic jam range 821 that can clearly display the outer periphery.
  • FIG. 9 is an explanatory diagram schematically showing an example of the closing process by the navigation device.
  • 9A to 9C show mesh data of two-dimensional matrix data (Y, X) of h rows and h columns in which identification information is given to each region as an example.
  • FIG. 9A shows the mesh data 900 after the identification information is given.
  • FIG. 9B shows mesh data 910 after closing processing (expansion) with respect to FIG.
  • FIG. 9C shows mesh data 920 after closing processing (reduction) with respect to FIG.
  • areas 901 and 902 to which identification information indicating the occurrence of traffic jams are indicated by different hatchings.
  • the identification information indicating the occurrence of the traffic jam is given to the area 901 in the c row, f column, f row c column, and g row f column.
  • the regions 901 to which the identification information indicating the occurrence of traffic jams are arranged apart from each other so that the change in the identification information after the expansion process and the reduction process becomes clear.
  • the navigation device 300 performs a closing expansion process on the mesh data 900 having been given such identification information.
  • the navigation device 300 includes eight regions adjacent to the lower left, lower, lower right, right, upper right, upper, upper left, and left of the region 901 in the c row and the f column.
  • B row e column to b row g column, c row e column, c row g column, and d row e column to d row g column) 902 is changed from the identification information where no traffic jam has occurred to the identification information of traffic jam occurrence. change.
  • the navigation device 300 Similarly to the processing performed for the area 901 of the c row and the f column, the navigation device 300 generates the congestion information on the identification information of the eight adjacent areas 902 in the area 901 of the f row c column and the g row f column. Change to the identification information. Therefore, the traffic jam range 911 of the vehicle is wider than the traffic jam range of the vehicle in the mesh data 900 after the identification information is added by the amount that the identification information of the area 902 is changed to the identification information of the occurrence of the traffic jam.
  • the navigation device 300 performs a closing reduction process on the mesh data 910 after the expansion process.
  • the navigation device 300 includes b rows and e columns adjacent to an area to which identification information indicating that no traffic jam has occurred is added (a white background portion of the mesh data 910 after the expansion process).
  • the identification information of the eight areas 902 of the b row g column, the c row e column, the c row g column, and the d row e column to the d row g column is changed to the identification information where no traffic jam has occurred.
  • the navigation device 300 is similar to the processing performed for the eight areas 902 of b row e column to b row g column, c row e column, c row g column, and d row e column to d row g column. And e row b column to e row d column, f row b column, f row d column to f row g column, g row b column to g row e column, which are adjacent to the area to which the identification information indicating that no traffic jam has occurred. , G row g column, h row e column, and h row g column 15 area 902 identification information is changed to the identification information that traffic jam has not occurred.
  • the mesh data 920 after the reduction process is similar to the mesh data 900 after the identification information is added, and the three areas 901 to which the identification information indicating the occurrence of traffic jams is reduced.
  • a vehicle traffic jam area 921 is generated, which is composed of one region 902 that remains with the identification information of the traffic jam generated.
  • the region 902 that is provided with the identification information indicating the occurrence of the traffic jam at the time of the expansion processing and remains with the identification information indicating the occurrence of the traffic jam after the reduction processing is generated within the traffic jam range of the mesh data 900 after the identification information is added. The missing point disappears.
  • the navigation device 300 performs an opening process (a process of performing an expansion process after the reduction process) on the mesh data of the two-dimensional matrix data (Y, X) to generate a vehicle traffic jam area that can clearly display the outer periphery. May be.
  • the expansion process and the reduction process are performed the same number of times as in the closing process. In this way, by equalizing the number of times of expansion processing and reduction processing, the outer periphery of the traffic jam range of the vehicle shrunk by the reduction processing is widened, and the outer periphery of the traffic jam range of the vehicle after the reduction processing is the traffic jam of the vehicle before the reduction processing It can be returned to the outer periphery of the range. In this way, it is possible to generate a traffic jam range of a vehicle in which no isolated point is generated and the outer periphery can be clearly displayed.
  • the navigation apparatus 300 is based on identification information given to mesh data of m rows and m columns of two-dimensional matrix data (Y, X). Extract the outline of the traffic jam area of the vehicle. Specifically, the navigation apparatus 300 extracts the outline of the traffic jam range of the vehicle using, for example, a Freeman chain code. More specifically, the navigation apparatus 300 extracts the contour of the traffic jam range of the vehicle as follows.
  • FIG. 10 is an explanatory view schematically showing an example of extraction of a traffic jam area of a vehicle by a navigation device.
  • FIG. 10A shows numbers indicating the adjacent directions of the regions 1110 to 1117 adjacent to the region 1100 (hereinafter referred to as “direction index (chain code)”) and eight-direction arrows corresponding to the direction index.
  • FIG. 10B shows an example of mesh data 1120 of two-dimensional matrix data (Y, X) of k rows and k columns.
  • areas (area A) 1121 to 1134 to which identification information for occurrence of traffic jams is assigned and areas to which identification information for occurrence of traffic jams surrounded by the areas 1121 to 1134 are hatched. Illustrated.
  • the direction index indicates the direction in which the line segment of the unit length is facing.
  • the coordinates corresponding to the direction index are (X + dx, Y + dy).
  • the direction index in the direction from the region 1100 toward the region 1110 adjacent to the lower left is “0”.
  • the direction index in the direction from the region 1100 to the adjacent region 1111 is “1”.
  • the direction index in the direction from the region 1100 toward the region 1112 adjacent to the lower right is “2”.
  • the direction index in the direction from the region 1100 toward the region 1113 adjacent to the right is “3”.
  • the direction index in the direction from the region 1100 toward the region 1114 adjacent to the upper right is “4”.
  • the direction index in the direction from the region 1100 toward the adjacent region 1115 is “5”.
  • the direction index in the direction from the region 1100 toward the region 1116 adjacent to the upper left is “6”.
  • the direction index in the direction from the region 1100 toward the region 1117 adjacent to the left is “7”.
  • the navigation device 300 searches the area adjacent to the area 1100 to which the traffic jam occurrence identification information “1” is assigned in the counterclockwise direction. In addition, the navigation device 300 determines the search start point of the area to which the traffic jam occurrence identification information adjacent to the area 1100 is assigned based on the previous direction index. Specifically, when the direction index from another area toward area 1100 is “0”, navigation apparatus 300 has an area adjacent to the left of area 1100, that is, an area adjacent in the direction of direction index “7”. The search starts from 1117.
  • the navigation device 300 is adjacent to the lower left, lower, lower right, right, upper right, upper left of the region 1100.
  • the search is started from the matching regions, that is, the regions 1110 to 1116 adjacent in the directions of the direction indices “0”, “1”, “2”, “3”, “4”, “5”, “6”, respectively.
  • the navigation apparatus 300 detects the congestion occurrence identification information “1” from any one of the areas 1110 to 1110 to 1117, the areas 1110 to 1117 that have detected the congestion occurrence identification information “1”.
  • the direction indices “0” to “7” corresponding to are written in the storage device in association with the area 1100.
  • the navigation device 300 extracts the contour of the traffic jam range of the vehicle as follows. As shown in FIG. 10 (B), the navigation device 300 first identifies the occurrence of traffic congestion in units of rows from the region of the a row and a column of the mesh data 1120 of the two-dimensional matrix data (Y, X) of k rows and k columns. Search for an area to which information is assigned.
  • the navigation apparatus 300 Since all the regions in the a-th row of the mesh data 1120 are provided with identification information indicating that no traffic jam has occurred, the navigation apparatus 300 next moves from the region in the b-th row to the b-th column in the mesh data 1120. Search for identification information on the occurrence of traffic jams toward the area.
  • the navigation apparatus 300 detects the traffic jam occurrence identification information in the b row and e column area 1121 of the mesh data 1120, and then rotates counterclockwise from the b row and e column area 1121 of the mesh data 1120. The area having the identification information of the occurrence of the traffic jam that becomes the outline is searched.
  • the navigation apparatus 300 since the navigation apparatus 300 has already searched the area of b rows and d columns adjacent to the left of the area 1121, first, the occurrence of the traffic jam is identified in the counterclockwise direction from the area 1122 adjacent to the lower left of the area 1121. Search whether there is an area having information. Then, the navigation apparatus 300 detects the traffic jam occurrence identification information in the area 1122 and stores the direction index “0” in the direction from the area 1121 to the area 1122 in association with the area 1121 in the storage device.
  • the navigation device 300 since the navigation device 300 has the previous direction index “0”, whether or not there is a region having identification information for occurrence of traffic jam in the counterclockwise direction from the region of c rows and c columns adjacent to the left of the region 1122. Search for. Then, the navigation apparatus 300 detects the traffic jam occurrence identification information in the area 1123 adjacent to the lower left of the area 1122, and stores the direction index “0” in the direction from the area 1122 to the area 1123 in association with the previous direction index. Store in the device.
  • the navigation device 300 determines a search start point based on the previous direction index, and uses the direction index as a process for searching whether there is an area having identification information for occurrence of traffic jam counterclockwise from the search start point. The process is repeated until the corresponding arrow returns to the area 1121. Specifically, navigation device 300 searches whether there is a region having identification information for occurrence of traffic jam counterclockwise from the region adjacent to the left of region 1123, and searches for region 1124 adjacent to region 1123. The identification information of the occurrence of traffic jam is detected, and the direction index “1” is stored in the storage device in association with the previous direction index.
  • the navigation device 300 searches the area having the traffic jam identification information counterclockwise from the search start point, and the area having the traffic jam identification information 1124 to 1134 are sequentially detected. Then, every time the navigation device 300 acquires the direction index, the navigation device 300 associates it with the previous direction index and stores it in the storage device.
  • the navigation device 300 searches whether there is an area having identification information for occurrence of traffic jam in the counterclockwise direction from the area of the b row and f column adjacent to the upper right of the area 1134, and the adjacent area on the area 1134. 1121 is detected, and the direction index “5” is stored in the storage device in association with the previous direction index.
  • the direction index “0” ⁇ “0” ⁇ “1” ⁇ “0” ⁇ “2” ⁇ “3” ⁇ “4” ⁇ “3” ⁇ “2” ⁇ “5” ⁇ “5” ⁇ “6” ⁇ “6” ⁇ “5” is stored in this order.
  • the navigation device 300 sequentially searches counterclockwise the areas 1122 to 1134 having the traffic jam occurrence identification information adjacent to the area 1121 from the first detected area 1121 to obtain the direction index. Then, the navigation device 300 fills one area in the direction corresponding to the direction index from the area 1121.
  • FIG. 11 is an explanatory view schematically showing an example of mesh data after the vehicle traffic jam area extraction by the navigation device.
  • the processing of FIG. 10 generates mesh data having a vehicle traffic jam area 1100 composed of a contour 1101 of a traffic jam area and a portion 1102 surrounded by the contour 1101.
  • FIG. 12 is a diagram showing a contour display screen of a traffic jam by the navigation device.
  • a congestion area 1201 (shaded area in the figure) connecting areas having the same congestion degree is displayed on the map screen 1200 in an overlapping manner.
  • the traffic jam area 1201 is semi-transparent, so that the map contents of the overlapping location can be confirmed, and the traffic jam occurrence location can be discriminated.
  • a contour 1202 of the traffic jam range 1201 shown in FIG. 12 is obtained by executing a predetermined smoothing process, and the contour 1202 of the traffic jam range 1201 of the vehicle can be displayed smoothly.
  • the traffic congestion range 1201 shown in FIG. 12 is determined using the congestion degree calculated based on the first speed information (actual speed V) and the second speed information (static speed V0), and thus actually travels. It can be displayed as a state corresponding to the degree of congestion at the time. For this reason, the traffic jam range 1201 shown in FIG. 12 tends to be a wide traffic jam range based on the conventional link average speed. For example, if a road having a speed of 40 km / h or less is displayed as a traffic jam range, all roads having a speed limit of 40 km / h or less are included, and an uncongested road also becomes a traffic jam range.
  • the traffic jam range of the moving body can be generated based on the area to which the traffic jam occurrence identification information is given, and the extent of the traffic jam can be notified to the user. .
  • the navigation device 300 converts a plurality of areas obtained by dividing the map information into image data, determines the degree of congestion of each of the plurality of areas, adds traffic jam identification information, and then expands the image. Perform shrinkage treatment. For this reason, the navigation apparatus 300 can remove missing points and isolated points in the traffic jam range of the moving body, and can display the traffic jam range in a two-dimensional smooth surface and in an easy-to-view manner.
  • the navigation device 300 calculates the congestion level based on the first speed information (actual speed V) and the second speed information (static speed V0), a congestion range corresponding to the congestion level when actually traveling is set. It can be displayed, and the traffic jam range can be notified more accurately.
  • the display example in which the degree of traffic congestion is one has been described.
  • a plurality of second areas are generated, and the degree of traffic congestion is different. May be displayed.
  • an area where the degree of congestion is low can be translucent blue, and an area where the degree of congestion is highest can be red, so that the degree of congestion can be distinguished at a glance.
  • an area with a high degree of congestion is included in an area with a low degree of congestion and is displayed in an overlapping manner.
  • the display of the map and the display in the area of the traffic jam is controlled using the car navigation
  • the display may be controlled using an information terminal such as another smartphone.
  • FIG. 13 is a block diagram of an example of a functional configuration of the display control system according to the second embodiment.
  • a terminal 1301 of the display control system 1300 includes the first acquisition unit 101, the second acquisition unit 102, and the display unit 107 described in FIG. 1, and the first acquisition unit 101 and the second acquisition to the server 1302.
  • the information acquired by the unit 102 is transmitted and output by wireless communication or the like.
  • the server 1302 has the functions of the display control unit 103, the division unit 104, the calculation unit 106, and the map information storage unit 105 shown in FIG. 1, and displays a traffic jam display based on information transmitted from the terminal 1301.
  • a screen is generated and transmitted to the terminal 1301 by wireless communication or the like.
  • the terminal 1301 displays and outputs the display screen output from the server 1302 on the display unit 107.
  • the function of the terminal 1301 shown in FIG. 13 may be further reduced, and the server 1302 may have the function of the second acquisition unit 102 shown in FIG. Further, the server 1302 may be configured such that a plurality of servers cooperate with each other for each function. For example, the server having the function of the calculation unit 106 and the dividing unit 104 and the server having the function of the display control unit 103 may be divided.
  • the display control method described in this embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation.
  • This program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer.
  • the program may be a transmission medium that can be distributed via a network such as the Internet.

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Abstract

A display control device (100) displays traffic-congestion-related information superimposed onto a map displayed by a display unit (107). Said display control device (100) is provided with the following: a first acquisition unit (101) that acquires first speed information pertaining to the speeds of moving bodies moving along prescribed segments on a map; a second acquisition unit (102) that, for each of said segments, acquires second speed information pertaining to the speed at which the moving bodies would move along that segment in a prescribed environment in which speeds are not limited by traffic congestion; and a display control unit (103) that, on the basis of the first speed information and the second speed information, displays, superimposed onto the map displayed by the display unit (107), regions indicating prescribed traffic-congestion degrees.

Description

表示制御装置、表示制御方法、表示制御プログラム、表示制御システム、表示制御サーバおよび端末Display control device, display control method, display control program, display control system, display control server, and terminal
 この発明は、地図上に渋滞に関する情報を重ねて表示する表示制御装置、表示制御方法、表示制御プログラム、表示制御システム、表示制御サーバおよび端末に関する。ただし、この発明の利用は、表示制御装置、表示制御方法、表示制御プログラム、表示制御システム、表示制御サーバおよび端末に限らない。 The present invention relates to a display control device, a display control method, a display control program, a display control system, a display control server, and a terminal that display information related to traffic jams on a map. However, utilization of this invention is not restricted to a display control apparatus, a display control method, a display control program, a display control system, a display control server, and a terminal.
 従来、地図上で指定されたエリアの渋滞情報を表示する表示装置が知られている(たとえば、下記特許文献1参照。)。下記特許文献1では、表示する地図をメッシュに分割して、このメッシュに含まれるVICS(Vehicle Information and Communication System:登録商標)の各リンクの渋滞情報をもとに、メッシュごとの渋滞度に応じた表示をおこなう。 Conventionally, a display device that displays traffic information of an area designated on a map is known (see, for example, Patent Document 1 below). In Patent Document 1 below, the map to be displayed is divided into meshes, and the traffic information for each link in the VICS (Vehicle Information and Communication System: registered trademark) included in this mesh is used according to the degree of congestion for each mesh. Display.
特開2004-108849号公報JP 2004-108849 A
 しかしながら、上述した特許文献1の技術では、VICSの渋滞情報、すなわち、リンクの平均速度を用いてリンクを含むメッシュ単位で渋滞度合いを色分け表示している。このため、単にリンクの制限速度が小さいだけで、実際には、混雑していないリンクがあっても、平均速度が遅いことに基づいて渋滞している、と判断する虞がある。このように、混雑度合いを表示する際には、単に平均速度を用いるだけでは、適切な渋滞情報の表示をおこなえず、渋滞情報の精度を向上できない。 However, in the technique of Patent Document 1 described above, the degree of traffic congestion is displayed in different colors in units of meshes including links using the VICS traffic congestion information, that is, the average speed of the links. For this reason, there is a risk that it may be determined that the link is congested based on the low average speed even if there is a link that is not congested, and the link speed is actually small. Thus, when displaying the degree of congestion, simply using the average speed cannot display appropriate traffic jam information, and the accuracy of the traffic jam information cannot be improved.
 上述した課題を解決し、目的を達成するため、請求項1の発明にかかる表示制御装置は、渋滞に関する情報を、表示部に表示された地図に重畳して表示させる表示制御装置であって、地図上における複数の所定の区間のそれぞれを移動する移動体の速度に関する第1速度情報を取得する第1取得部と、前記複数の所定の区間のそれぞれにおいて、渋滞によって速度が制限されることがない所定の環境における前記所定の区間のそれぞれを移動体が移動するときの速度に関する第2速度情報を取得する第2取得部と、前記第1速度情報と前記第2速度情報に基づいて、所定の渋滞度合いを示す領域を、前記表示部に表示された地図に重畳して表示させる表示制御部と、を備えることを特徴とする。 In order to solve the above-described problems and achieve the object, the display control device according to the invention of claim 1 is a display control device that displays information related to traffic jams superimposed on a map displayed on a display unit, The first acquisition unit that acquires the first speed information related to the speed of the moving body that moves in each of the plurality of predetermined sections on the map, and the speed may be limited due to congestion in each of the plurality of predetermined sections. A second acquisition unit configured to acquire second speed information related to a speed at which the moving body moves in each of the predetermined sections in a predetermined environment, and based on the first speed information and the second speed information. A display control unit that displays an area indicating the degree of traffic congestion on the map displayed on the display unit.
 また、請求項5の発明にかかる表示制御方法は、渋滞に関する情報を、表示部に表示された地図に重畳して表示させる表示制御装置が実施する表示制御方法において、地図上における複数の所定の区間のそれぞれを移動する移動体の速度に関する第1速度情報を第1取得部により取得する第1取得工程と、前記複数の所定の区間のそれぞれにおいて、渋滞によって速度が制限されることがない所定の環境における前記所定の区間のそれぞれを移動体が移動するときの速度に関する第2速度情報を第2取得部により取得する第2取得工程と、前記第1速度情報と前記第2速度情報に基づいて、所定の渋滞度合いを示す領域を、前記表示部に表示された地図に重畳して表示制御部により表示させる表示制御工程と、を含むことを特徴とする。 According to a fifth aspect of the present invention, there is provided a display control method according to a display control method implemented by a display control device that superimposes and displays information related to a traffic jam on a map displayed on a display unit. A first acquisition step of acquiring, by a first acquisition unit, first speed information relating to the speed of a moving body that moves in each of the sections, and a predetermined speed that is not limited by traffic jams in each of the plurality of predetermined sections A second acquisition step of acquiring, by a second acquisition unit, second speed information related to a speed at which the moving body moves in each of the predetermined sections in the environment of the first, based on the first speed information and the second speed information A display control step of superimposing a region indicating a predetermined degree of traffic congestion on the map displayed on the display unit and displaying the region by the display control unit.
 また、請求項6の発明にかかる表示制御プログラムは、請求項5に記載の表示制御方法をコンピュータに実行させることを特徴とする。 The display control program according to the invention of claim 6 causes a computer to execute the display control method according to claim 5.
 また、請求項7の発明にかかる表示制御システムは、端末と、前記端末に通信接続されたサーバとからなる表示制御システムにおいて、前記端末は、地図上における複数の所定の区間のそれぞれを移動する移動体の速度に関する第1速度情報を取得し、サーバに送信する第1取得部と、前記複数の所定の区間のそれぞれにおいて、渋滞によって速度が制限されることがない所定の環境における前記所定の区間のそれぞれを移動体が移動するときの速度に関する第2速度情報を取得し、サーバに送信する第2取得部と、地図情報と渋滞情報を表示する表示部と、を備え、前記サーバは、前記第1速度情報と前記第2速度情報に基づいて、所定の渋滞度合いを示す領域の表示データを生成し、前記端末の表示部に表示させる表示制御部、を備えることを特徴とする。 The display control system according to the invention of claim 7 is a display control system comprising a terminal and a server that is communicatively connected to the terminal. The terminal moves in each of a plurality of predetermined sections on a map. The first acquisition unit that acquires the first speed information related to the speed of the moving body and transmits the first speed information to the server, and the predetermined predetermined environment in which the speed is not limited by traffic jams in each of the plurality of predetermined sections A second acquisition unit that acquires second speed information related to a speed when the moving body moves in each section, and transmits the second speed information to the server; and a display unit that displays the map information and the traffic jam information. A display control unit configured to generate display data of a region indicating a predetermined degree of congestion based on the first speed information and the second speed information and to display the display data on the display unit of the terminal; It is characterized in.
 また、請求項8の発明にかかる表示制御サーバは、端末が取得した地図上における複数の所定の区間のそれぞれを移動する移動体の速度に関する第1速度情報と、前記複数の所定の区間のそれぞれにおいて、渋滞によって速度が制限されることがない所定の環境における前記所定の区間のそれぞれを移動体が移動するときの速度に関する第2速度情報に基づいて、所定の渋滞度合いを示す領域の表示データを生成し、前記端末の表示部に表示させる表示制御部、を備えることを特徴とする。 In addition, the display control server according to the invention of claim 8 includes first speed information relating to a speed of a moving body that moves in each of a plurality of predetermined sections on the map acquired by the terminal, and each of the plurality of predetermined sections. , Display data of a region indicating a predetermined degree of traffic congestion based on second speed information relating to a speed when the moving body moves in each of the predetermined sections in a predetermined environment where the speed is not limited by traffic jam Is generated and displayed on the display unit of the terminal.
 また、請求項9の発明にかかる端末は、地図上における複数の所定の区間のそれぞれを移動する移動体の速度に関する第1速度情報を取得し、サーバに送信する第1取得部と、前記複数の所定の区間のそれぞれにおいて、渋滞によって速度が制限されることがない所定の環境における前記所定の区間のそれぞれを移動体が移動するときの速度に関する第2速度情報を取得し、サーバに送信する第2取得部と、地図情報と渋滞情報を表示する表示部と、を備え、前記サーバにより、前記第1速度情報と、前記第2速度情報に基づいて、所定の渋滞度合いを示す領域の表示データが生成され、当該生成された表示データを前記表示部に表示することを特徴とする。 According to a ninth aspect of the present invention, there is provided a terminal that acquires first speed information related to a speed of a moving body that moves in each of a plurality of predetermined sections on a map, and transmits the first speed information to a server; In each of the predetermined sections, second speed information relating to the speed at which the moving body moves in each of the predetermined sections in a predetermined environment where the speed is not limited by traffic congestion is transmitted to the server. A second acquisition unit; and a display unit that displays map information and traffic jam information. The server displays a region indicating a predetermined traffic jam level based on the first speed information and the second speed information. Data is generated, and the generated display data is displayed on the display unit.
図1は、実施の形態1にかかる表示制御装置の機能的構成の一例を示すブロック図である。FIG. 1 is a block diagram of an example of a functional configuration of the display control apparatus according to the first embodiment. 図2は、実施の形態1にかかる表示制御装置の処理手順の一例を示すフローチャートである。FIG. 2 is a flowchart of an example of a processing procedure of the display control apparatus according to the first embodiment. 図3は、ナビゲーション装置のハードウェア構成の一例を示すブロック図である。FIG. 3 is a block diagram illustrating an example of a hardware configuration of the navigation device. 図4は、ナビゲーション装置による地点間の平均速度算出の一例について模式的に示す説明図である。FIG. 4 is an explanatory diagram schematically illustrating an example of calculating an average speed between points by the navigation device. 図5は、各ノードに対応付けて記憶される情報を示す図表である。FIG. 5 is a chart showing information stored in association with each node. 図6は、ナビゲーション装置による渋滞地点を経度-緯度で示す一例の説明図である。FIG. 6 is an explanatory diagram of an example in which a congestion point by the navigation device is indicated by longitude-latitude. 図7は、ナビゲーション装置による渋滞地点をメッシュデータで示す一例の説明図である。FIG. 7 is an explanatory diagram of an example in which a congestion point by the navigation device is indicated by mesh data. 図8は、ナビゲーション装置によるクロージング処理の一例を示す説明図である。FIG. 8 is an explanatory diagram illustrating an example of a closing process performed by the navigation device. 図9は、ナビゲーション装置によるクロージング処理の一例を模式的に示す説明図である。FIG. 9 is an explanatory diagram schematically showing an example of the closing process by the navigation device. 図10は、ナビゲーション装置による車両の渋滞範囲抽出の一例を模式的に示す説明図である。FIG. 10 is an explanatory diagram schematically showing an example of extraction of a vehicle traffic jam range by the navigation device. 図11は、ナビゲーション装置による車両の渋滞範囲抽出後のメッシュデータの一例を模式的に示す説明図である。FIG. 11 is an explanatory diagram schematically illustrating an example of mesh data after the vehicle traffic jam area extraction by the navigation device. 図12は、ナビゲーション装置による渋滞の輪郭表示画面を示す図である。FIG. 12 is a diagram showing a contour display screen of a traffic jam by the navigation device. 図13は、実施の形態2にかかる表示制御システムの機能的構成の一例を示すブロック図である。FIG. 13 is a block diagram of an example of a functional configuration of the display control system according to the second embodiment.
 以下に添付図面を参照して、この発明にかかる表示制御装置、表示制御方法、表示制御プログラム、表示制御システム、表示制御サーバおよび端末の好適な実施の形態を詳細に説明する。 DETAILED DESCRIPTION Exemplary embodiments of a display control device, a display control method, a display control program, a display control system, a display control server, and a terminal according to the present invention will be described below in detail with reference to the accompanying drawings.
(実施の形態1)
 図1は、実施の形態1にかかる表示制御装置の機能的構成の一例を示すブロック図である。実施の形態1にかかる表示制御装置100は、渋滞に関する情報を、表示部に表示された地図に重畳して表示させるものであり、第1取得部101、第2取得部102、表示制御部103を含む。このほかに、地図情報を格納する格納部105と、地図情報を分割する分割部104、算出部106を備えてもよい。107は、表示制御部103の出力を表示する表示部である。
(Embodiment 1)
FIG. 1 is a block diagram of an example of a functional configuration of the display control apparatus according to the first embodiment. The display control apparatus 100 according to the first embodiment displays information related to traffic jams by superimposing the information on a map displayed on the display unit, and includes a first acquisition unit 101, a second acquisition unit 102, and a display control unit 103. including. In addition, a storage unit 105 that stores map information, a dividing unit 104 that divides map information, and a calculation unit 106 may be provided. Reference numeral 107 denotes a display unit that displays the output of the display control unit 103.
 第1取得部101は、地図上における複数の所定の区間のそれぞれを移動する移動体の速度に関する第1速度情報を取得する。たとえば、第1速度情報は、移動体の現時点での速度(実際速度V)を示す。このほか、所定の区間を移動するプローブカーの速度や、VICSが出力するリンクの平均速度、予測した速度等を通信により取得して用いてもよい。 1st acquisition part 101 acquires the 1st speed information about the speed of the mobile which moves each of a plurality of predetermined sections on a map. For example, the first speed information indicates the current speed (actual speed V) of the moving object. In addition, the speed of the probe car moving in a predetermined section, the average speed of the link output by the VICS, the predicted speed, and the like may be acquired through communication.
 第2取得部102は、地図上における複数の所定の区間のそれぞれにおいて、渋滞によって速度が制限されることがない所定の環境における所定の区間のそれぞれを移動体が移動するときの速度に関する第2速度情報を取得する。たとえば、所定の環境は、走行台数が少ない夜間であり、第2速度情報は、夜間に所定の区間のそれぞれを移動体の移動速度の平均を示す速度の情報とすることができる。このように、第2速度情報は、所定の区間について、渋滞によって速度が制限されることがない速度(静的速度V0)を示す。また、第2取得部102は、所定の区間のそれぞれにおいて、一日で最も速く移動した移動体の速度(または、一日の中で最も速く移動体が移動できる時間帯における移動体の平均的な速度)を第2速度情報として取得するようにしてもよい。 The second acquisition unit 102 is a second unit that relates to a speed at which the moving body moves in each of the predetermined sections in a predetermined environment where the speed is not limited by traffic jams in each of the plurality of predetermined sections on the map. Get speed information. For example, the predetermined environment is nighttime when the number of traveling vehicles is small, and the second speed information can be speed information indicating an average of the moving speeds of the moving bodies in each of the predetermined sections at nighttime. As described above, the second speed information indicates a speed (static speed V0) at which the speed is not limited due to the traffic jam for a predetermined section. Further, the second acquisition unit 102 determines the speed of the moving body that has moved the fastest in a day (or the average of moving objects in the time zone in which the moving body can move the fastest in the day) in each of the predetermined sections. May be acquired as the second speed information.
 表示制御部103は、第1速度情報と第2速度情報に基づいて、所定の渋滞度合いを示す領域を、表示部107に表示された地図に重畳して表示させる。この渋滞度合いは、地図(地図情報)上における所定の地点(たとえばノード)ごとに求められる。 The display control unit 103 superimposes and displays an area indicating a predetermined degree of traffic congestion on the map displayed on the display unit 107 based on the first speed information and the second speed information. This degree of traffic jam is obtained for each predetermined point (for example, node) on the map (map information).
 分割部104は、地図情報に基づき表示する地図領域を複数の第1の領域に分割する。第1の領域は、地図を所定の縮尺によりメッシュ状に複数に分割した各領域である。この場合、算出部106による第1の領域が所定の渋滞度合いであるか否かの判断をおこなう。たとえば、算出部106は、第1速度情報(実際速度V)に対する第2速度情報(静的速度V0)の比較により、混雑度を求める。そしてこの混雑度を所定の閾値と比較して閾値を超えれば第1の領域のメッシュが混雑していると判断する。 The dividing unit 104 divides the map area to be displayed based on the map information into a plurality of first areas. The first area is each area obtained by dividing the map into a plurality of meshes at a predetermined scale. In this case, the calculation unit 106 determines whether or not the first area has a predetermined congestion degree. For example, the calculation unit 106 obtains the degree of congestion by comparing the second speed information (static speed V0) with the first speed information (actual speed V). If the degree of congestion is compared with a predetermined threshold and exceeds the threshold, it is determined that the mesh in the first region is congested.
 そして、表示制御部103は、算出部106により算出された第1の領域について、所定の渋滞度合いを示す表示画像を生成する。 And the display control part 103 produces | generates the display image which shows the predetermined | prescribed congestion degree about the 1st area | region calculated by the calculation part 106. FIG.
 ここで、表示制御部103は、第1の領域のそれぞれに含まれる地点における渋滞度合いに基づいて、所定の渋滞度合いを示す第2の領域を示す輪郭を生成し、表示部107に表示させる。 Here, the display control unit 103 generates a contour indicating the second area indicating the predetermined degree of traffic congestion based on the traffic congestion level at the points included in each of the first areas, and causes the display unit 107 to display the contour.
 図2は、実施の形態1にかかる表示制御装置の処理手順の一例を示すフローチャートである。表示制御装置100は、はじめに、所定の区間を実際に移動した第1速度情報(実際速度V)を取得する(ステップS201)。次に、同じ所定の区間の第2速度情報(静的速度V0)を取得する(ステップS202)。 FIG. 2 is a flowchart of an example of a processing procedure of the display control apparatus according to the first embodiment. First, the display control apparatus 100 acquires first speed information (actual speed V) actually moved in a predetermined section (step S201). Next, second speed information (static speed V0) in the same predetermined section is acquired (step S202).
 次に、表示制御装置100は、所定区間を含む所定範囲の地図情報を複数のメッシュ(第1の領域)に分割する(ステップS203)。たとえば、ラスタデータからなる地図情報をX,Y軸にそれぞれ所定ドット数を有する画像データに変換する。 Next, the display control apparatus 100 divides map information in a predetermined range including a predetermined section into a plurality of meshes (first areas) (step S203). For example, map information composed of raster data is converted into image data having a predetermined number of dots on the X and Y axes.
 この後、各メッシュ(第1の領域)ごとに渋滞度合いを算出する(ステップS204)。渋滞度合いは、たとえば、混雑度C(V)=(V0-V)/V0の算出式を用いて得ることができる。また、表示制御装置100は、第1の領域の混雑度C(V)を所定の閾値Cthと比較して各メッシュごとに混雑しているか否かを判断する。混雑度が閾値を超えれば第1の領域が混雑していると判断する。 Thereafter, the degree of traffic congestion is calculated for each mesh (first region) (step S204). The degree of congestion can be obtained, for example, using a calculation formula of congestion degree C (V) = (V0−V) / V0. Further, the display control device 100 compares the degree of congestion C (V) of the first region with a predetermined threshold Cth and determines whether or not each mesh is congested. If the degree of congestion exceeds the threshold, it is determined that the first area is congested.
 たとえば、渋滞度合いを算出する範囲は、現在地点から目的地までの範囲について算出する。なお、渋滞度合いを算出する範囲は、現在地点から指定所要時間内で到達可能な範囲や、あるいは無限としてもよい。この際、現在地点から目的地までの経路候補の各ノードについて第1速度情報と、第2速度情報と、をノードに紐付けしてする。これにより、ノードが含まれる各メッシュ(第1の領域)ごとの混雑度を求めることができ、渋滞度合いを得ることができる。なお、各ノードには、第1速度情報と、第2速度情報を用いて算出された混雑度を紐付けて記憶することとしてもよい。また、各ノードに混雑度を紐付けして記憶する場合には、時刻の情報(例えば第1速度情報に関する時刻)を更に紐付けして記憶するようにしてもよい。 For example, the range for calculating the degree of congestion is calculated for the range from the current location to the destination. Note that the range for calculating the degree of traffic congestion may be a range that can be reached within a specified required time from the current point, or may be infinite. At this time, the first speed information and the second speed information are linked to the node for each node of the route candidate from the current point to the destination. Thereby, the degree of congestion for each mesh (first region) including the node can be obtained, and the degree of congestion can be obtained. Each node may store the first speed information and the congestion degree calculated using the second speed information in association with each other. Further, when the degree of congestion is associated with each node and stored, time information (for example, time relating to the first speed information) may be further associated and stored.
 また、各ノードには、現在位置から第1速度情報V、たとえばVICSにより得たノード間の平均速度に基づきノードに到達する到達予想時間(複数ノードを経由した累積時間)を紐付けて記憶しておくことができる。経路探索時には、現在地点から目的地までの所要時間が最小となる探索をおこなう。 In addition, each node stores the first speed information V from the current position, for example, the estimated arrival time (cumulative time via a plurality of nodes) reaching the node based on the average speed between nodes obtained by VICS, for example. I can keep it. When searching for a route, a search is performed to minimize the time required from the current point to the destination.
 次に、各メッシュに含まれる地点の混雑度が閾値以上である各メッシュの領域(第2の領域)の輪郭を算出する(ステップS205)。そして、算出された輪郭を地図上に重ねて表示させ(ステップS206)、処理終了する。ここで、算出された輪郭は、地図上に位置および縮尺を合わせて表示する。この際、輪郭の内部は塗りつぶしてもよい。半透明等の色で塗りつぶせば、下に表示されている地図を視認することができる。また、複数段階の渋滞度合いの輪郭を表示する場合には、上記の閾値を複数用意しておけばよく、各メッシュに含まれる地点の渋滞度合いが一致する各メッシュの領域の輪郭を算出するようにしてもよい。 Next, the contour of each mesh area (second area) in which the degree of congestion of the points included in each mesh is equal to or greater than a threshold value is calculated (step S205). Then, the calculated contour is displayed over the map (step S206), and the process ends. Here, the calculated contour is displayed on the map with its position and scale matched. At this time, the inside of the contour may be filled. If you paint in a semi-transparent color, you can see the map displayed below. In addition, when displaying the contours of the degree of traffic congestion in multiple stages, it is sufficient to prepare a plurality of the above-mentioned thresholds, so that the contours of the areas of each mesh where the traffic congestion degrees of the points included in each mesh match are calculated. It may be.
 これにより、表示部107に表示する地図上には、渋滞している領域を輪郭で表示することができ、渋滞している箇所を容易に視認することができる。混雑度の閾値が一つであれば、渋滞の有無を求めることができ、閾値が複数あれば複数段階の渋滞度合いを求めることができる。複数段階の渋滞度合いに対応して異なる色(たとえば渋滞度合いが高いほど濃い色)で表示することにより、渋滞している箇所をより正確に視認することができる。また、各ノードに混雑度とともに時刻の情報を更に紐付けして記憶するようにしておけば、各時刻におけて渋滞している領域を算出することができるので、例えば利用者が指定した任意の時刻における渋滞している領域を輪郭で表示することや、任意の2つの時刻において渋滞している領域を比較した結果を表示することも可能となる。また、現在時刻とその直前の時刻とにおける渋滞している領域の差分を表示することで、渋滞度合いが増加する方向である領域、渋滞が解消する方向である領域を表示することも可能となる。 Thereby, on the map displayed on the display unit 107, a congested area can be displayed with an outline, and the congested portion can be easily visually recognized. If there is one congestion level threshold, the presence or absence of traffic congestion can be determined, and if there are multiple thresholds, multiple levels of traffic congestion can be determined. By displaying in different colors (for example, darker as the degree of traffic congestion is higher) corresponding to the degree of traffic congestion at a plurality of stages, it is possible to more accurately visually recognize the location where the traffic is jammed. In addition, if the time information along with the degree of congestion is further linked to each node and stored, it is possible to calculate a traffic jam area at each time. It is also possible to display a congested area at the time of the time as an outline, or to display a result of comparing areas congested at any two times. In addition, by displaying the difference between the current time and the time immediately before it, it is possible to display the area where the degree of congestion increases and the area where the congestion is resolved. .
 上記処理によれば、渋滞度合いに対応した輪郭を表示させることができ、この輪郭により、同程度の渋滞が生じている範囲を容易に視認できるようになる。また、所定の区間を走行するときの速度(実際速度V)について、渋滞が生じていないときに走行可能な速度(静的速度V0)と比較によって渋滞度を算出する。これにより、所定の区間ごとに実際の混雑度合いを示すことができるようになる。 According to the above processing, it is possible to display a contour corresponding to the degree of traffic jam, and this contour makes it easy to visually recognize a range in which the same level of traffic jam occurs. Further, the degree of traffic congestion is calculated by comparing the speed when traveling in a predetermined section (actual speed V) with the speed (static speed V0) that can be traveled when there is no traffic jam. As a result, the actual degree of congestion can be shown for each predetermined section.
 また、所定の区間を含むメッシュごとに実際の混雑度合いを示すことができ、表示される混雑度の輪郭により、混雑範囲をユーザに適切に伝えることができるようになる。 Also, the actual congestion degree can be shown for each mesh including a predetermined section, and the congestion range can be appropriately conveyed to the user by the displayed outline of the congestion degree.
 以下に、本発明の実施例について説明する。本実施例では、車両に搭載されるナビゲーション装置300を表示制御装置100として、本発明を適用した場合の一例について説明する。 Hereinafter, examples of the present invention will be described. In the present embodiment, an example in which the present invention is applied will be described with the navigation device 300 mounted on a vehicle as the display control device 100.
(ナビゲーション装置300のハードウェア構成)
 次に、ナビゲーション装置300のハードウェア構成について説明する。図3は、ナビゲーション装置のハードウェア構成の一例を示すブロック図である。図3において、ナビゲーション装置300は、CPU301、ROM302、RAM303、磁気ディスクドライブ304、磁気ディスク305、光ディスクドライブ306、光ディスク307、音声I/F(インターフェース)308、マイク309、スピーカ310、入力デバイス311、映像I/F312、ディスプレイ313、カメラ314、通信I/F315、GPSユニット316、各種センサ317を備えている。各構成部301~317は、バス320によってそれぞれ接続されている。
(Hardware configuration of navigation device 300)
Next, the hardware configuration of the navigation device 300 will be described. FIG. 3 is a block diagram illustrating an example of a hardware configuration of the navigation device. In FIG. 3, a navigation device 300 includes a CPU 301, ROM 302, RAM 303, magnetic disk drive 304, magnetic disk 305, optical disk drive 306, optical disk 307, audio I / F (interface) 308, microphone 309, speaker 310, input device 311, A video I / F 312, a display 313, a camera 314, a communication I / F 315, a GPS unit 316, and various sensors 317 are provided. Each component 301 to 317 is connected by a bus 320.
 CPU301は、ナビゲーション装置300の全体の制御を司る。ROM302は、ブートプログラム、輪郭算出プログラム、探索プログラム、表示プログラムなどのプログラムを記録している。RAM303は、CPU301のワークエリアとして使用される。すなわち、CPU301は、RAM303をワークエリアとして使用しながら、ROM302に記録された各種プログラムを実行することによって、ナビゲーション装置300の全体の制御を司る。 CPU 301 governs overall control of navigation device 300. The ROM 302 records programs such as a boot program, a contour calculation program, a search program, and a display program. The RAM 303 is used as a work area for the CPU 301. That is, the CPU 301 controls the entire navigation device 300 by executing various programs recorded in the ROM 302 while using the RAM 303 as a work area.
 輪郭算出プログラムでは、地図データを分割したメッシュデータを作成し、渋滞情報に基づいて、所定区間における渋滞度合いを算出し、同じ渋滞度合いのメッシュ同士を繋いだ輪郭を算出する。探索プログラムでは、渋滞度合いを考慮して現在地点から目的地までの所要時間が最小となる探索をおこなう。表示プログラムでは、地図上に渋滞度合いを示す輪郭を重ねた表示データや、探索された経路等をディスプレイ313に表示させる。 The contour calculation program creates mesh data obtained by dividing map data, calculates the degree of traffic jam in a predetermined section based on the traffic jam information, and calculates the contour connecting meshes with the same traffic jam level. The search program performs a search that minimizes the time required from the current point to the destination in consideration of the degree of traffic jam. In the display program, the display 313 displays the display data in which the contour indicating the degree of traffic congestion is superimposed on the map, the searched route, and the like.
 磁気ディスクドライブ304は、CPU301の制御にしたがって磁気ディスク305に対するデータの読み取り/書き込みを制御する。磁気ディスク305は、磁気ディスクドライブ304の制御で書き込まれたデータを記録する。磁気ディスク305としては、たとえば、HD(ハードディスク)やFD(フレキシブルディスク)を用いることができる。 The magnetic disk drive 304 controls the reading / writing of the data with respect to the magnetic disk 305 according to control of CPU301. The magnetic disk 305 records data written under the control of the magnetic disk drive 304. As the magnetic disk 305, for example, an HD (hard disk) or an FD (flexible disk) can be used.
 また、光ディスクドライブ306は、CPU301の制御にしたがって光ディスク307に対するデータの読み取り/書き込みを制御する。光ディスク307は、光ディスクドライブ306の制御にしたがってデータが読み出される着脱自在な記録媒体である。光ディスク307は、書き込み可能な記録媒体を利用することもできる。着脱可能な記録媒体として、光ディスク307のほか、MO、メモリカードなどを用いることができる。 The optical disk drive 306 controls reading / writing of data with respect to the optical disk 307 according to the control of the CPU 301. The optical disk 307 is a detachable recording medium from which data is read according to the control of the optical disk drive 306. As the optical disc 307, a writable recording medium can be used. In addition to the optical disk 307, an MO, a memory card, or the like can be used as a removable recording medium.
 磁気ディスク305および光ディスク307に記録される情報の一例としては、地図データ、車両情報、道路情報、走行履歴などが挙げられる。地図データは、カーナビゲーションシステムにおいて車両の到達可能地点を探索するときや、車両の渋滞範囲を表示するときに用いられ、建物、河川、地表面などの地物(フィーチャ)をあらわす背景データ、道路の形状をリンクやノードなどであらわす道路形状データなどを含むベクタデータである。走行履歴は、過去の渋滞に関する情報、たとえば、過去に走行したリンク間の移動時間やリンク速度等のデータである。 Examples of information recorded on the magnetic disk 305 and the optical disk 307 include map data, vehicle information, road information, travel history, and the like. Map data is used when searching for a reachable point of a vehicle in a car navigation system, or when displaying a traffic jam area of a vehicle. Background data representing features (features) such as buildings, rivers, and the ground surface, roads This is vector data including road shape data that represents the shape of the road as a link or a node. The travel history is information on past traffic jams, for example, data such as travel time between links traveled in the past and link speed.
 音声I/F308は、音声入力用のマイク309および音声出力用のスピーカ310に接続される。マイク309に受音された音声は、音声I/F308内でA/D変換される。マイク309は、たとえば、車両のダッシュボード部などに設置され、その数は単数でも複数でもよい。スピーカ310からは、所定の音声信号を音声I/F308内でD/A変換した音声が出力される。 The voice I / F 308 is connected to a microphone 309 for voice input and a speaker 310 for voice output. The sound received by the microphone 309 is A / D converted in the sound I / F 308. For example, the microphone 309 is installed in a dashboard portion of a vehicle, and the number thereof may be one or more. From the speaker 310, a sound obtained by D / A converting a predetermined sound signal in the sound I / F 308 is output.
 入力デバイス311は、文字、数値、各種指示などの入力のための複数のキーを備えたリモコン、キーボード、タッチパネルなどが挙げられる。入力デバイス311は、リモコン、キーボード、タッチパネルのうちいずれか一つの形態によって実現されてもよいが、複数の形態によって実現することも可能である。 The input device 311 includes a remote controller, a keyboard, a touch panel, and the like provided with a plurality of keys for inputting characters, numerical values, various instructions, and the like. The input device 311 may be realized by any one form of a remote control, a keyboard, and a touch panel, but can also be realized by a plurality of forms.
 映像I/F312は、ディスプレイ313に接続される。映像I/F312は、具体的には、たとえば、ディスプレイ313全体を制御するグラフィックコントローラと、即時表示可能な画像情報を一時的に記録するVRAM(Video RAM)などのバッファメモリと、グラフィックコントローラから出力される画像データに基づいてディスプレイ313を制御する制御ICなどによって構成される。 The video I / F 312 is connected to the display 313. Specifically, the video I / F 312 is output from, for example, a graphic controller that controls the entire display 313, a buffer memory such as a VRAM (Video RAM) that temporarily records image information that can be displayed immediately, and a graphic controller. And a control IC for controlling the display 313 based on the image data to be processed.
 ディスプレイ313には、アイコン、カーソル、メニュー、ウインドウ、あるいは文字や画像などの各種データが表示される。ディスプレイ313としては、たとえば、TFT液晶ディスプレイ、有機ELディスプレイなどを用いることができる。 The display 313 displays icons, cursors, menus, windows, or various data such as characters and images. As the display 313, for example, a TFT liquid crystal display, an organic EL display, or the like can be used.
 カメラ314は、車両内部あるいは外部の映像を撮影する。映像は静止画あるいは動画のどちらでもよく、たとえば、カメラ314によって車両外部を撮影し、撮影した画像をCPU301において画像解析したり、映像I/F312を介して磁気ディスク305や光ディスク307などの記録媒体に出力したりする。 The camera 314 captures images inside or outside the vehicle. The image may be either a still image or a moving image. For example, the outside of the vehicle is photographed by the camera 314, and the photographed image is analyzed by the CPU 301, or a recording medium such as the magnetic disk 305 or the optical disk 307 via the video I / F 312 Or output to
 通信I/F315は、無線を介してネットワークに接続され、ナビゲーション装置300およびCPU301のインターフェースとして機能する。ネットワークとして機能する通信網には、CANやLIN(Local Interconnect Network)などの車内通信網や、公衆回線網や携帯電話網、DSRC(Dedicated Short Range Communication)、LAN、WANなどがある。通信I/F315は、たとえば、公衆回線用接続モジュールやETC(ノンストップ自動料金支払いシステム)ユニット、FMチューナー、VICS/ビーコンレシーバなどである。 The communication I / F 315 is connected to a network via wireless and functions as an interface between the navigation device 300 and the CPU 301. Communication networks that function as networks include in-vehicle communication networks such as CAN and LIN (Local Interconnect Network), public line networks and mobile phone networks, DSRC (Dedicated Short Range Communication), LAN, and WAN. The communication I / F 315 is, for example, a public line connection module, an ETC (non-stop automatic fee payment system) unit, an FM tuner, a VICS / beacon receiver, or the like.
 GPSユニット316は、GPS衛星からの電波を受信し、車両の現在地点を示す情報を出力する。GPSユニット316の出力情報は、後述する各種センサ317の出力値とともに、CPU301による車両の現在地点の算出に際して利用される。現在地点を示す情報は、たとえば、緯度・経度、高度などの、地図データ上の1点を特定する情報である。 The GPS unit 316 receives radio waves from GPS satellites and outputs information indicating the current location of the vehicle. The output information of the GPS unit 316 is used when the CPU 301 calculates the current location of the vehicle together with output values of various sensors 317 described later. The information indicating the current location is information specifying one point on the map data, such as latitude / longitude and altitude.
 各種センサ317は、車速センサ、加速度センサ、角速度センサ、傾斜センサなどの、車両の位置や挙動を判断するための情報を出力する。各種センサ317の出力値は、CPU301による車両の現在地点の算出や、速度や方位の変化量の算出に用いられる。 Various sensors 317 output information for determining the position and behavior of the vehicle, such as a vehicle speed sensor, an acceleration sensor, an angular velocity sensor, and a tilt sensor. The output values of the various sensors 317 are used by the CPU 301 to calculate the current position of the vehicle and the amount of change in speed and direction.
 図1に示した表示制御装置100の第1取得部101、第2取得部102、表示制御部103、分割部104、算出部106は、上述したナビゲーション装置300におけるROM302、RAM303、磁気ディスク305、光ディスク307などに記録されたプログラムやデータ(地図情報)を用いて、CPU301が所定のプログラムを実行し、ナビゲーション装置300における各部を制御することによってその機能を実現する。 The first acquisition unit 101, the second acquisition unit 102, the display control unit 103, the division unit 104, and the calculation unit 106 of the display control apparatus 100 illustrated in FIG. 1 are the ROM 302, the RAM 303, the magnetic disk 305, the navigation device 300 described above. Using the program and data (map information) recorded on the optical disc 307 and the like, the CPU 301 executes a predetermined program and controls each part in the navigation device 300 to realize its function.
(ナビゲーション装置300による輪郭算出の概要)
 渋滞の度合いを表示するための輪郭算出は、下記の各処理を含む。
(1)所定区間の第1情報と第2情報の取得
(2)所定区間の混雑度の算出
(3)地図データのメッシュ分割と、メッシュの混雑度の判定
(4)同じ混雑度のメッシュ間を繋ぐ輪郭の生成
(Outline of contour calculation by navigation device 300)
The contour calculation for displaying the degree of traffic jam includes the following processes.
(1) Acquisition of first information and second information in a predetermined section (2) Calculation of congestion degree in a predetermined section (3) Mesh division of map data and determination of mesh congestion degree (4) Between meshes of the same congestion degree Contour generation that connects
(1)所定区間の第1情報と第2情報の取得
 本実施例のナビゲーション装置300は、自装置が搭載された車両の現在地点を基点として目的地までの経路について、渋滞の度合いとして各ノードまでの到達時間を算出する。
(1) Acquisition of first information and second information of a predetermined section The navigation device 300 according to the present embodiment has each node as a degree of traffic congestion with respect to a route from the current point of the vehicle on which the device is mounted to the destination. The arrival time until is calculated.
 図4は、ナビゲーション装置による地点間の平均速度算出の一例について模式的に示す説明図、図5は、各ノードに対応付けて記憶される情報を示す図表である。図4では、地図データのノード(たとえば交差点)を丸印とし、隣り合うノード同士を結ぶリンク(道路上の所定区間)を線分で示す。 FIG. 4 is an explanatory diagram schematically showing an example of calculating an average speed between points by the navigation device, and FIG. 5 is a chart showing information stored in association with each node. In FIG. 4, nodes (for example, intersections) of map data are indicated by circles, and links (predetermined sections on the road) connecting adjacent nodes are indicated by line segments.
 ナビゲーション装置300は、まず、車両の現在地点400から最も近いリンクL1_1について第1速度情報(実際速度V)と、第2速度情報(静的速度V0)を取得する。第1速度情報は、たとえば、VICSが出力するリンクの平均速度を用いる例で説明する。また、過去に走行した際の速度を用いてもよい。第2速度情報は、渋滞によって速度が制限されることがない速度であり、たとえば走行台数が少ない夜間の速度である。 The navigation device 300 first acquires first speed information (actual speed V) and second speed information (static speed V0) for the link L1_1 closest to the current location 400 of the vehicle. For example, the first speed information will be described using an average speed of a link output by the VICS. Moreover, you may use the speed at the time of drive | working in the past. The second speed information is a speed at which the speed is not limited by traffic congestion, for example, a night speed with a small number of traveling vehicles.
 この際、ナビゲーション装置300は、第1の速度情報(リンクの平均速度)により、到達時間(現在地点からの累積時間)を求める。そして、ナビゲーション装置300は、リンクL1_1に接続するノードN1_1の情報として、図5に示す第1速度情報(たとえばリンクの平均速度)と、第2速度情報と、累積時間を紐付けて、記憶装置(磁気ディスク305や光ディスク307)に書き出す。 At this time, the navigation device 300 obtains the arrival time (cumulative time from the current point) based on the first speed information (average speed of the link). Then, the navigation device 300 associates the first speed information (for example, the average speed of the link) shown in FIG. 5, the second speed information, and the accumulated time as information of the node N1_1 connected to the link L1_1, and stores the storage device. Write to (magnetic disk 305 or optical disk 307).
 ここで、リンクL1_1について算出する第1の速度情報は、過去の渋滞に関する情報(リンク間の移動時間やリンク速度)を時刻別に統計処理したデータと、VICS等から得た現在の渋滞情報とに基づき推定してもよい。ノードN1_1の到達時間は、リンクL1_1の平均速度に基づき算出した移動時間を現在地点の現在時刻に加えて求める。 Here, the first speed information calculated for the link L1_1 is data obtained by statistically processing information related to past traffic jams (movement time and link speed between links) and current traffic jam information obtained from VICS or the like. You may estimate based on. The arrival time of the node N1_1 is obtained by adding the travel time calculated based on the average speed of the link L1_1 to the current time of the current location.
 次に、ナビゲーション装置300は、ノードN1_1に接続するすべてのリンクL2_1,L2_2,L2_3を探索し、上記同様に、リンクL2_1について、リンクL2_1とリンクL1_1の移動時間を累計した到達時間を算出する。そして、リンクL2_1に接続するノードN2_1の情報として、第1速度情報と、第2速度情報と、到達時間を紐付けて記憶装置に書き出す。以後、他のリンクについても同様の処理をおこなう。 Next, the navigation device 300 searches for all the links L2_1, L2_2, and L2_3 connected to the node N1_1, and calculates the arrival time of the links L2_1 and the links L1_1 accumulated for the link L2_1 as described above. Then, as information of the node N2_1 connected to the link L2_1, the first speed information, the second speed information, and the arrival time are linked and written to the storage device. Thereafter, the same processing is performed for other links.
 ところで、ノードN3_2のように一のノードに複数のリンクL3_2_1,L3_2_2が接続する場合には、車両の現在地点400から一のノードN3_2までの複数の経路における到達時間のうち、最小の到達時間をノードN3_2に設定する。 By the way, when a plurality of links L3_2_1 and L3_2_2 are connected to one node like the node N3_2, the minimum arrival time among the arrival times on the plurality of routes from the current point 400 of the vehicle to the one node N3_2 is set. Set to node N3_2.
 図5に示す各ノードに紐付ける情報として、第1速度情報と第2速度情報に代えて、これら第1速度情報と第2速度情報から算出した混雑度の情報を紐付け、格納してもよい。混雑度を格納することにより、記憶領域を削減できる。 As information linked to each node shown in FIG. 5, instead of the first speed information and the second speed information, information on the degree of congestion calculated from the first speed information and the second speed information may be linked and stored. Good. By storing the degree of congestion, the storage area can be reduced.
(2)所定区間の混雑度の算出
 本実施例のナビゲーション装置300は、所定の区間、すなわち上記ノードごとに、第1速度情報Vと第2速度情報V0とを用いて渋滞度合いを判断する。渋滞度合いは、たとえば、混雑度C(V)=(第2速度情報V0-第1速度情報V)/第2速度情報V0の算出式を用いて得ることができる。この算出式には、場所や日時等渋滞に影響する要因別に異なる所定の補正係数αを用いてもよい。たとえば、この混雑度C(V)は、所定の閾値Cthと比較して混雑しているか否かを判断する。混雑度が閾値を超えれば所定の区間が混雑していると判断する。
(2) Calculation of Congestion Level of Predetermined Section The navigation device 300 of this embodiment determines the degree of congestion using the first speed information V and the second speed information V0 for each predetermined section, that is, for each node. The degree of congestion can be obtained by using, for example, a calculation formula of congestion degree C (V) = (second speed information V0−first speed information V) / second speed information V0. In this calculation formula, a different predetermined correction coefficient α may be used for each factor that affects traffic congestion such as location and date / time. For example, the degree of congestion C (V) is compared with a predetermined threshold Cth to determine whether or not it is congested. If the degree of congestion exceeds the threshold, it is determined that the predetermined section is congested.
 たとえば、図4に示す斜線のノードN1_1,N2_1,N2_2,N3_2に至るリンクの混雑度が閾値を超えると渋滞区間(渋滞地点)と判断する。なお、閾値を複数段階設定することにより、渋滞度合いを複数に区分することができる。 For example, if the congestion degree of the links reaching the nodes N1_1, N2_1, N2_2, and N3_2 shown by hatching in FIG. Note that the degree of congestion can be divided into a plurality of levels by setting a plurality of threshold values.
(3)地図データのメッシュ分割と、メッシュの混雑度の判定
 本実施例のナビゲーション装置300は、記憶装置に記憶された地図データを分割する。具体的には、ナビゲーション装置300は、ベクタデータで構成される地図データを、たとえば64×64ドットのメッシュデータ(X,Y)に変換し、地図データをラスタデータ(画像データ)にする。
(3) Mesh division of map data and determination of mesh congestion level The navigation apparatus 300 according to the present embodiment divides map data stored in a storage device. Specifically, the navigation device 300 converts map data composed of vector data into, for example, 64 × 64 dot mesh data (X, Y), and converts the map data into raster data (image data).
 図6は、ナビゲーション装置による渋滞地点を経度-緯度で示す一例の説明図である。図6には、複数の地点の経度緯度情報(x,y)を絶対座標で図示している。 FIG. 6 is an explanatory diagram of an example showing the congestion point by the navigation device in longitude-latitude. FIG. 6 illustrates longitude / latitude information (x, y) of a plurality of points in absolute coordinates.
 図6に示すように、ナビゲーション装置300は、まず、複数の渋滞地点のそれぞれの経度x、緯度yに基づいて、絶対座標で点群600を有する経度緯度情報(x,y)を生成する。経度緯度情報(x,y)の原点(0,0)は図6の左下である。そして、ナビゲーション装置300は、車両の現在地点400の経度ofxから経度x方向に最も離れた渋滞地点の最大経度x_max、最小経度x_minまで距離w1,w2を算出する。また、ナビゲーション装置300は、車両の現在地点400の緯度ofyから緯度y方向に最も離れた渋滞地点の最大緯度y_max、最小緯度y_minまで距離w3,w4を算出する。 As shown in FIG. 6, the navigation device 300 first generates longitude / latitude information (x, y) having a point group 600 in absolute coordinates based on the longitude x and latitude y of each of a plurality of traffic congestion points. The origin (0, 0) of the longitude / latitude information (x, y) is at the lower left of FIG. Then, the navigation device 300 calculates the distances w1 and w2 from the longitude ofx of the current point 400 of the vehicle to the maximum longitude x_max and the minimum longitude x_min of the traffic congestion point farthest in the longitude x direction. Further, the navigation device 300 calculates the distances w3 and w4 from the latitude of the current location 400 of the vehicle to the maximum latitude y_max and the minimum latitude y_min of the traffic congestion point farthest in the latitude y direction.
 次に、ナビゲーション装置300は、車両の現在地点400からの距離w1~w4のうち、最も距離のある、車両の現在地点400から最小経度x_minまでの距離w2(以下、w5=max(w1,w2,w3,w4)とする)のn分の1の長さがメッシュデータ(X,Y)の矩形状の一要素の1辺の長さとなるように、複数の渋滞地点を含む地図データを、たとえばm×mドット(たとえば64×64ドット)のメッシュデータ(X,Y)に変換する。 Next, the navigation device 300 has a distance w2 (hereinafter referred to as w5 = max (w1, w2) from the vehicle current point 400 to the minimum longitude x_min, which is the longest of the distances w1 to w4 from the vehicle current point 400. , W3, w4)), the map data including a plurality of traffic congestion points so that the length of 1 / n becomes the length of one side of the rectangular element of the mesh data (X, Y), For example, it is converted into mesh data (X, Y) of m × m dots (for example, 64 × 64 dots).
 具体的には、ナビゲーション装置300は、1メッシュと経度緯度の大きさとの比を倍率mag=w5/nとし、経度緯度情報(x,y)とメッシュデータ(X,Y)とが次の(1)式,(2)式を満たすように、経度緯度情報(x,y)をメッシュデータ(X,Y)に変換する。 Specifically, the navigation apparatus 300 sets the ratio of 1 mesh and the size of longitude and latitude as the magnification mag = w5 / n, and the longitude / latitude information (x, y) and mesh data (X, Y) are the following ( The longitude / latitude information (x, y) is converted into mesh data (X, Y) so as to satisfy the expressions 1) and (2).
 X=(x-ofx)/mag ・・・(1) X = (x-ofx) / mag (1)
 Y=(y-ofy)/mag ・・・(2) Y = (y-ofy) / mag (2)
 図7は、ナビゲーション装置による渋滞地点をメッシュデータで示す一例の説明図である。図7には、渋滞地点の情報(識別情報)が付与された64×64ドットのメッシュデータ(X,Y)をスクリーン座標で図示している。経度緯度情報(x,y)をメッシュデータ(X,Y)に変換することにより、図7に示すように、車両の現在地点400は、m×mドットのメッシュデータ(X,Y)で構成される矩形状の画像データの中心となり、車両の現在地点400のメッシュデータ(X,Y)はX軸方向、Y軸方向ともに等しく、X=Y=m/2=n+4となる。また、メッシュデータ(X,Y)の周辺のたとえば4ドット分を空白にするためにn=(m/2)-4とする。そして、ナビゲーション装置300は、経度緯度情報(x,y)をメッシュデータ(X,Y)に変換するときに、メッシュデータ(X,Y)の各領域にそれぞれ上記算出した混雑度に基づく渋滞地点の情報(識別情報)を付与し、m行m列の2次元行列データ(Y,X)のメッシュデータに変換する。 FIG. 7 is an explanatory diagram of an example showing the congestion point by the navigation device as mesh data. In FIG. 7, mesh data (X, Y) of 64 × 64 dots to which information (identification information) on a traffic jam point is given is illustrated in screen coordinates. By converting the longitude / latitude information (x, y) into mesh data (X, Y), as shown in FIG. 7, the current location 400 of the vehicle is configured by mesh data (X, Y) of m × m dots. The mesh data (X, Y) of the current point 400 of the vehicle is the same in both the X-axis direction and the Y-axis direction, and X = Y = m / 2 = n + 4. Further, n = (m / 2) −4 is set in order to make, for example, four dots around the mesh data (X, Y) blank. Then, when the navigation device 300 converts the longitude / latitude information (x, y) into mesh data (X, Y), the congestion point based on the calculated congestion degree in each area of the mesh data (X, Y). (Identification information) is given and converted into mesh data of two-dimensional matrix data (Y, X) of m rows and m columns.
(メッシュの混雑度の判定について)
 この後、第1の領域であるメッシュ単位で混雑しているメッシュであるか否かを下記1.~3.のいずれかの条件を用いて判定する。
1.最悪値又は最良値を用いた混雑判定
 ナビゲーション装置300は、あるメッシュデータ(X,Y)の一の領域に閾値Cthを超えて混雑度が高い渋滞地点(リンク)が一つでも含まれる場合、このメッシュが混雑していると判断し、このメッシュに識別情報として、たとえば「1」を付与する(図7では1ドットをたとえば黒色で描画)。一方、渋滞地点が含まれない場合、該当するメッシュ領域に渋滞が生じていないことを識別する識別情報として、たとえば「0」を付与する(図7では1ドットをたとえば白色で描画)。また、これとは逆に、あるメッシュデータ(X,Y)の一の領域に閾値Cthを超えていない混雑度が低い渋滞地点(リンク)が一つでも含まれる場合に、このメッシュは混雑していないと判断し、このメッシュに識別情報として、たとえば「0」を付与するようにしてもよい。
(About judgment of mesh congestion)
Thereafter, whether or not the mesh is congested in units of meshes as the first region is described in the following 1. ~ 3. The determination is made using any one of the conditions.
1. Congestion determination using the worst value or the best value When the navigation apparatus 300 includes at least one congestion point (link) that exceeds the threshold Cth in one area of certain mesh data (X, Y), It is determined that this mesh is congested, and for example, “1” is given as identification information to this mesh (in FIG. 7, one dot is drawn in black, for example). On the other hand, when a traffic jam point is not included, for example, “0” is given as identification information for identifying that no traffic jam has occurred in the corresponding mesh area (in FIG. 7, one dot is drawn in white, for example). On the other hand, if one area of certain mesh data (X, Y) includes at least one congestion point (link) that does not exceed the threshold Cth and has a low congestion level, this mesh is congested. For example, “0” may be assigned to the mesh as identification information.
2.平均値を用いた混雑判定
 ナビゲーション装置300は、あるメッシュデータ(X,Y)に含まれる複数のリンクの混雑度の平均値Cavを算出する。そして、この平均値Cavを閾値Cthと比較し、平均値Cavが閾値Cthを超える場合、このメッシュが混雑していると判断し、このメッシュに識別情報として、たとえば「1」を付与する。
2. Congestion Determination Using Average Value The navigation apparatus 300 calculates an average value Cav of the degree of congestion of a plurality of links included in a certain mesh data (X, Y). Then, the average value Cav is compared with the threshold value Cth. When the average value Cav exceeds the threshold value Cth, it is determined that the mesh is congested, and for example, “1” is given to the mesh as identification information.
3.ヒストグラム作成による統計的な混雑判定
 ナビゲーション装置300は、あるメッシュデータ(X,Y)に含まれる複数のリンクの混雑度に関するヒストグラムを作成する。そして、閾値Cthを超えるリンク数(渋滞地点数)が一定値以上である場合、このメッシュが混雑していると判断し、このメッシュに識別情報として、たとえば「1」を付与する。
3. Statistical Congestion Determination by Creating Histogram The navigation apparatus 300 creates a histogram relating to the degree of congestion of a plurality of links included in a certain mesh data (X, Y). If the number of links exceeding the threshold Cth (the number of traffic congestion points) is equal to or greater than a certain value, it is determined that this mesh is congested, and “1”, for example, is assigned to this mesh as identification information.
 このように、ナビゲーション装置300は、地図データを分割した各領域にそれぞれ渋滞の有無を示す識別情報を付与したm行m列の2次元行列データ(Y,X)のメッシュデータに変換し、地図データを2値化されたラスタデータとして扱う。メッシュデータの各領域は、それぞれ一定範囲の矩形状の領域であらわされる。具体的には、図7に示すように、たとえば、複数の渋滞地点の点群700が黒色で描画されたm×mドットのメッシュデータ(X,Y)が生成される。メッシュデータ(X,Y)の原点(0,0)は左上である。 As described above, the navigation device 300 converts the map data into mesh data of two-dimensional matrix data (Y, X) of m rows and m columns, each of which is provided with identification information indicating the presence or absence of traffic jams in each region. Data is handled as binarized raster data. Each area of the mesh data is represented by a rectangular area within a certain range. Specifically, as shown in FIG. 7, for example, m × m dot mesh data (X, Y) in which a point cloud 700 of a plurality of traffic points is drawn in black is generated. The origin (0, 0) of the mesh data (X, Y) is at the upper left.
(ナビゲーション装置300における識別情報変更の概要)
 本実施例のナビゲーション装置300は、上述したように分割されたm×mドットのメッシュデータ(X,Y)のそれぞれの領域に付与された識別情報を変更する。具体的には、ナビゲーション装置300は、m行m列の2次元行列データ(Y,X)のメッシュデータに対してクロージング処理(膨張処理後に縮小処理をおこなう処理)をおこなう。
(Outline of identification information change in navigation device 300)
The navigation apparatus 300 according to the present embodiment changes the identification information given to each area of the m × m dot mesh data (X, Y) divided as described above. Specifically, the navigation apparatus 300 performs a closing process (a process for performing a reduction process after the expansion process) on mesh data of two-dimensional matrix data (Y, X) of m rows and m columns.
 図8は、ナビゲーション装置によるクロージング処理の一例を示す説明図である。図8の(A)~(C)は、各領域にそれぞれ識別情報が付与されたm行m列の2次元行列データ(Y,X)のメッシュデータである。図8(A)には、地図データの分割処理後、はじめて識別情報が付与されたメッシュデータ800を示す。すなわち、図8(A)に示すメッシュデータ800は、図7に示すメッシュデータと同一である。 FIG. 8 is an explanatory diagram showing an example of a closing process by the navigation device. 8A to 8C are mesh data of two-dimensional matrix data (Y, X) of m rows and m columns in which identification information is assigned to each region. FIG. 8A shows mesh data 800 to which identification information is given for the first time after map data division processing. That is, the mesh data 800 shown in FIG. 8A is the same as the mesh data shown in FIG.
 また、図8(B)には、図8(A)に示すメッシュデータ800に対してクロージング処理(膨張)をおこなった後のメッシュデータ810を示す。図8(C)には、図8(B)に示すメッシュデータ810に対してクロージング処理(縮小)をおこなった後のメッシュデータ820を示す。図8(A)~図8(C)に示すメッシュデータ800,810,820において、渋滞発生(渋滞度合いが高い)の識別情報が付与された複数の領域によって生成される車両の渋滞範囲801,811,821を黒く塗りつぶした状態で示す。 8B shows mesh data 810 after the closing process (expansion) is performed on the mesh data 800 shown in FIG. 8A. FIG. 8C shows mesh data 820 after the closing process (reduction) is performed on the mesh data 810 shown in FIG. 8B. In the mesh data 800, 810, and 820 shown in FIG. 8A to FIG. 8C, the traffic jam range 801 of the vehicle generated by a plurality of areas to which identification information of traffic jam occurrence (the traffic jam degree is high) is given. 811 and 821 are shown in black.
 図8(A)に示すように、識別情報付与後のメッシュデータ800には、渋滞範囲801内に含まれる渋滞未発生(渋滞度合いが低い)の領域に相当する欠損点802(ハッチングされた渋滞範囲801内の白地部分)が生じている。欠損点802は、たとえば、ナビゲーション装置300による地点探索処理の負荷を低減させるためにノードおよびリンクを探索する道路を絞り込んだ場合に、渋滞地点となるノード数が少なくなることにより生じる。 As shown in FIG. 8A, in the mesh data 800 after the identification information is added, a missing point 802 (hatched traffic jam) corresponding to a region where the traffic jam has not occurred (the traffic jam degree is low) included in the traffic jam range 801 is included. A white background portion in the range 801 is generated. The missing point 802 is generated, for example, when the number of nodes that are congested points decreases when roads for searching for nodes and links are narrowed down in order to reduce the load of the point search process by the navigation device 300.
 次に、図8(B)に示すように、ナビゲーション装置300は、識別情報付与後のメッシュデータ800に対してクロージングの膨張処理をおこなう。クロージングの膨張処理では、識別情報付与後のメッシュデータ800の、渋滞発生の識別情報が付与されている領域に隣り合う一の領域(渋滞未発生の領域)の識別情報が、渋滞が生じている識別情報に変更される。これにより、膨張処理前(識別情報付与後)の車両の渋滞範囲801内に生じていた欠損点802が消滅する。 Next, as shown in FIG. 8B, the navigation device 300 performs a closing expansion process on the mesh data 800 after the identification information is added. In the closing expansion process, the identification information of one area (area where no congestion has occurred) adjacent to the area to which the identification information indicating the occurrence of congestion is added in the mesh data 800 after the identification information is added has congestion. Changed to identification information. As a result, the missing point 802 generated in the traffic congestion range 801 before the expansion process (after the identification information is given) disappears.
 また、膨張処理前の車両の渋滞範囲801の最外周(輪郭)の領域に隣り合うすべての領域の識別情報が、渋滞発生の識別情報に変更される。このため、膨張処理後の渋滞範囲811の外周は、膨張処理をおこなうごとに、膨張処理前の車両の渋滞範囲801の最外周の各領域の外周を囲むように1ドット分ずつ広がる。 Also, the identification information of all areas adjacent to the outermost (contour) area of the traffic jam area 801 of the vehicle before the expansion process is changed to the traffic jam occurrence identification information. For this reason, the outer periphery of the traffic jam area 811 after the expansion process is expanded by one dot so as to surround the outer periphery of each outermost area of the traffic jam area 801 of the vehicle before the expansion process every time the expansion process is performed.
 その後、図8(C)に示すように、ナビゲーション装置300は、メッシュデータ810に対してクロージングの縮小処理をおこなう。クロージングの縮小処理では、膨張処理後のメッシュデータ810の、渋滞発生の識別情報が付与されている領域に隣り合う一の領域の識別情報が、渋滞未発生の識別情報に変更される。 Thereafter, as shown in FIG. 8C, the navigation device 300 performs a closing reduction process on the mesh data 810. In the closing reduction process, the identification information of one area adjacent to the area to which the identification information on the occurrence of traffic jam is added in the mesh data 810 after the expansion process is changed to the identification information on which no traffic jam has occurred.
 このため、膨張処理後の車両の渋滞範囲811の最外周の各領域が、縮小処理がおこなわれるごとに1ドット分ずつ渋滞未発生の領域となり、膨張処理後の車両の渋滞範囲811の外周が縮まる。これにより、縮小処理後の車両の渋滞範囲821の外周は、膨張処理前の車両の渋滞範囲801の外周とほぼ同様となる。 For this reason, each area on the outermost periphery of the congested range 811 of the vehicle after the expansion process becomes a non-congested area by one dot every time the reduction process is performed, and the outer periphery of the congested range 811 of the vehicle after the expansion process is Shrink. Thereby, the outer periphery of the traffic jam area 821 after the reduction process is substantially the same as the outer circumference of the traffic jam area 801 before the expansion process.
 ナビゲーション装置300は、上述した膨張処理および縮小処理は同じ回数ずつおこなう。具体的には、膨張処理が2回おこなわれた場合、その後の縮小処理も2回おこなわれる。膨張処理と縮小処理との処理回数を等しくすることで、膨張処理によって渋滞発生の識別情報に変更された車両の渋滞範囲の外周部分のほぼすべての領域の識別情報を、縮小処理によって元の渋滞未発生の識別情報に変更することができる。このようにして、ナビゲーション装置300は、車両の渋滞範囲内の欠損点802を除去し、かつ外周を明瞭に表示可能な車両の渋滞範囲821を生成することができる。 Navigation device 300 performs the above-described expansion process and reduction process the same number of times. Specifically, when the expansion process is performed twice, the subsequent reduction process is also performed twice. By equalizing the number of times of expansion processing and reduction processing, the identification information of almost all areas outside the traffic jam area of the vehicle that has been changed to the identification information of the occurrence of traffic congestion by the expansion processing is restored to the original traffic congestion by the reduction processing. It can be changed to unidentified identification information. In this way, the navigation device 300 can remove the missing point 802 in the traffic jam range of the vehicle and generate the traffic jam range 821 that can clearly display the outer periphery.
 より具体的には、ナビゲーション装置300は、次のようにクロージング処理をおこなう。図9は、ナビゲーション装置によるクロージング処理の一例を模式的に示す説明図である。図9の(A)~(C)には、各領域にそれぞれ識別情報が付与されたh行h列の2次元行列データ(Y,X)のメッシュデータを一例として示す。 More specifically, the navigation device 300 performs the closing process as follows. FIG. 9 is an explanatory diagram schematically showing an example of the closing process by the navigation device. 9A to 9C show mesh data of two-dimensional matrix data (Y, X) of h rows and h columns in which identification information is given to each region as an example.
 図9(A)は、識別情報付与後のメッシュデータ900である。図9(B)は、図9(A)に対するクロージング処理(膨張)後のメッシュデータ910である。図9(C)は、図9(B)に対するクロージング処理(縮小)後のメッシュデータ920である。図9(A)~図9(C)のメッシュデータ900,910,920には、渋滞発生の識別情報が付与された領域901,902をそれぞれ異なるハッチングで図示する。 FIG. 9A shows the mesh data 900 after the identification information is given. FIG. 9B shows mesh data 910 after closing processing (expansion) with respect to FIG. FIG. 9C shows mesh data 920 after closing processing (reduction) with respect to FIG. In mesh data 900, 910, and 920 shown in FIGS. 9A to 9C, areas 901 and 902 to which identification information indicating the occurrence of traffic jams are indicated by different hatchings.
 図9(A)に示すように、識別情報付与後のメッシュデータ900には、c行f列、f行c列およびg行f列の領域901に渋滞発生の識別情報が付与されている。図9(A)では、膨張処理後および縮小処理後における識別情報の変化が明確となるように、渋滞発生の識別情報が付与された各領域901を離れた状態で配置している。 As shown in FIG. 9A, in the mesh data 900 after the identification information is given, the identification information indicating the occurrence of the traffic jam is given to the area 901 in the c row, f column, f row c column, and g row f column. In FIG. 9A, the regions 901 to which the identification information indicating the occurrence of traffic jams are arranged apart from each other so that the change in the identification information after the expansion process and the reduction process becomes clear.
 ナビゲーション装置300は、このような識別情報付与後のメッシュデータ900に対して、クロージングの膨張処理をおこなう。具体的には、図9(B)に示すように、ナビゲーション装置300は、c行f列の領域901の左下、下、右下、右、右上、上、左上、左に隣り合う8つの領域(b行e列~b行g列、c行e列、c行g列およびd行e列~d行g列)902の識別情報を、渋滞未発生の識別情報から渋滞発生の識別情報に変更する。 The navigation device 300 performs a closing expansion process on the mesh data 900 having been given such identification information. Specifically, as illustrated in FIG. 9B, the navigation device 300 includes eight regions adjacent to the lower left, lower, lower right, right, upper right, upper, upper left, and left of the region 901 in the c row and the f column. (B row e column to b row g column, c row e column, c row g column, and d row e column to d row g column) 902 is changed from the identification information where no traffic jam has occurred to the identification information of traffic jam occurrence. change.
 また、ナビゲーション装置300は、c行f列の領域901に対しておこなった処理と同様に、f行c列およびg行f列の領域901においても隣り合う8つの領域902の識別情報を渋滞発生の識別情報に変更する。このため、車両の渋滞範囲911は、領域902の識別情報が渋滞発生の識別情報に変更された分だけ、識別情報付与後のメッシュデータ900における車両の渋滞範囲よりも広がる。 Similarly to the processing performed for the area 901 of the c row and the f column, the navigation device 300 generates the congestion information on the identification information of the eight adjacent areas 902 in the area 901 of the f row c column and the g row f column. Change to the identification information. Therefore, the traffic jam range 911 of the vehicle is wider than the traffic jam range of the vehicle in the mesh data 900 after the identification information is added by the amount that the identification information of the area 902 is changed to the identification information of the occurrence of the traffic jam.
 次に、ナビゲーション装置300は、膨張処理後のメッシュデータ910に対して、クロージングの縮小処理をおこなう。具体的には、図9(C)に示すように、ナビゲーション装置300は、渋滞未発生の識別情報が付与された領域(膨張処理後のメッシュデータ910の白地部分)に隣り合うb行e列~b行g列、c行e列、c行g列およびd行e列~d行g列の8つの領域902の識別情報を渋滞未発生の識別情報に変更する。 Next, the navigation device 300 performs a closing reduction process on the mesh data 910 after the expansion process. Specifically, as illustrated in FIG. 9C, the navigation device 300 includes b rows and e columns adjacent to an area to which identification information indicating that no traffic jam has occurred is added (a white background portion of the mesh data 910 after the expansion process). The identification information of the eight areas 902 of the b row g column, the c row e column, the c row g column, and the d row e column to the d row g column is changed to the identification information where no traffic jam has occurred.
 また、ナビゲーション装置300は、b行e列~b行g列、c行e列、c行g列およびd行e列~d行g列の8個の領域902に対しておこなった処理と同様に、渋滞未発生の識別情報が付与された領域に隣り合うe行b列~e行d列、f行b列、f行d列~f行g列、g行b列~g行e列、g行g列、h行e列およびh行g列の15個の領域902の識別情報を渋滞未発生の識別情報に変更する。 In addition, the navigation device 300 is similar to the processing performed for the eight areas 902 of b row e column to b row g column, c row e column, c row g column, and d row e column to d row g column. And e row b column to e row d column, f row b column, f row d column to f row g column, g row b column to g row e column, which are adjacent to the area to which the identification information indicating that no traffic jam has occurred. , G row g column, h row e column, and h row g column 15 area 902 identification information is changed to the identification information that traffic jam has not occurred.
 これにより、図9(C)に示すように、縮小処理後のメッシュデータ920は、識別情報付与後のメッシュデータ900と同様に、渋滞発生の識別情報が付与された3つの領域901と、縮小処理後においても渋滞発生の識別情報が付与されたままの状態で残る一つの領域902からなる車両の渋滞範囲921が生成される。このように、膨張処理時に渋滞発生の識別情報が付与され、かつ縮小処理後に渋滞発生の識別情報が付与された状態で残る領域902によって、識別情報付与後のメッシュデータ900の渋滞範囲内に生じていた欠損点が消滅する。 As a result, as shown in FIG. 9C, the mesh data 920 after the reduction process is similar to the mesh data 900 after the identification information is added, and the three areas 901 to which the identification information indicating the occurrence of traffic jams is reduced. Even after the processing, a vehicle traffic jam area 921 is generated, which is composed of one region 902 that remains with the identification information of the traffic jam generated. As described above, the region 902 that is provided with the identification information indicating the occurrence of the traffic jam at the time of the expansion processing and remains with the identification information indicating the occurrence of the traffic jam after the reduction processing is generated within the traffic jam range of the mesh data 900 after the identification information is added. The missing point disappears.
 また、ナビゲーション装置300は、2次元行列データ(Y,X)のメッシュデータに対してオープニング処理(縮小処理後に膨張処理をおこなう処理)をおこない、外周を明瞭に表示可能な車両の渋滞範囲を生成してもよい。オープニング処理においても、クロージング処理と同様に膨張処理および縮小処理は同じ回数ずつおこなう。このように膨張処理と縮小処理との処理回数を等しくすることで、縮小処理によって縮まった車両の渋滞範囲の外周を広げ、縮小処理後の車両の渋滞範囲の外周を縮小処理前の車両の渋滞範囲の外周に戻すことができる。このようにして、孤立点が生じず、かつ外周を明瞭に表示可能な車両の渋滞範囲を生成することができる。 In addition, the navigation device 300 performs an opening process (a process of performing an expansion process after the reduction process) on the mesh data of the two-dimensional matrix data (Y, X) to generate a vehicle traffic jam area that can clearly display the outer periphery. May be. Also in the opening process, the expansion process and the reduction process are performed the same number of times as in the closing process. In this way, by equalizing the number of times of expansion processing and reduction processing, the outer periphery of the traffic jam range of the vehicle shrunk by the reduction processing is widened, and the outer periphery of the traffic jam range of the vehicle after the reduction processing is the traffic jam of the vehicle before the reduction processing It can be returned to the outer periphery of the range. In this way, it is possible to generate a traffic jam range of a vehicle in which no isolated point is generated and the outer periphery can be clearly displayed.
(4)同じ混雑度のメッシュ間を繋ぐ輪郭の生成
 本実施例のナビゲーション装置300は、m行m列の2次元行列データ(Y,X)のメッシュデータに付与された識別情報に基づいて、車両の渋滞範囲の輪郭を抽出する。具体的には、ナビゲーション装置300は、たとえば、フリーマンのチェインコードを用いて車両の渋滞範囲の輪郭を抽出する。より具体的には、ナビゲーション装置300は、次のように車両の渋滞範囲の輪郭を抽出する。
(4) Generation of Contours Connecting Meshes with Same Congestion Level The navigation apparatus 300 according to the present embodiment is based on identification information given to mesh data of m rows and m columns of two-dimensional matrix data (Y, X). Extract the outline of the traffic jam area of the vehicle. Specifically, the navigation apparatus 300 extracts the outline of the traffic jam range of the vehicle using, for example, a Freeman chain code. More specifically, the navigation apparatus 300 extracts the contour of the traffic jam range of the vehicle as follows.
 図10は、ナビゲーション装置による車両の渋滞範囲抽出の一例を模式的に示す説明図である。図10(A)には、領域1100に隣り合う領域1110~1117の隣接方向を示す数字(以下、「方向指数(チェインコード)」という)と、方向指数に対応する8方向の矢印とを示す。図10(B)には、k行k列の2次元行列データ(Y,X)のメッシュデータ1120を一例として示す。また、図10(B)には、渋滞発生の識別情報が付与された領域(領域A)1121~1134および当該領域1121~1134に囲まれた渋滞発生の識別情報が付与された領域をハッチングで図示する。 FIG. 10 is an explanatory view schematically showing an example of extraction of a traffic jam area of a vehicle by a navigation device. FIG. 10A shows numbers indicating the adjacent directions of the regions 1110 to 1117 adjacent to the region 1100 (hereinafter referred to as “direction index (chain code)”) and eight-direction arrows corresponding to the direction index. . FIG. 10B shows an example of mesh data 1120 of two-dimensional matrix data (Y, X) of k rows and k columns. In FIG. 10B, areas (area A) 1121 to 1134 to which identification information for occurrence of traffic jams is assigned and areas to which identification information for occurrence of traffic jams surrounded by the areas 1121 to 1134 are hatched. Illustrated.
 方向指数は、単位長さの線分の向いている方向を示す。メッシュデータ(X,Y)において、方向指数に対応する座標は、(X+dx,Y+dy)となる。具体的には、図10(A)に示すように、領域1100から左下に隣り合う領域1110へ向かう方向の方向指数は「0」である。領域1100から下に隣り合う領域1111へ向かう方向の方向指数は「1」である。領域1100から右下に隣り合う領域1112へ向かう方向の方向指数は「2」である。 The direction index indicates the direction in which the line segment of the unit length is facing. In the mesh data (X, Y), the coordinates corresponding to the direction index are (X + dx, Y + dy). Specifically, as shown in FIG. 10A, the direction index in the direction from the region 1100 toward the region 1110 adjacent to the lower left is “0”. The direction index in the direction from the region 1100 to the adjacent region 1111 is “1”. The direction index in the direction from the region 1100 toward the region 1112 adjacent to the lower right is “2”.
 また、領域1100から右に隣り合う領域1113へ向かう方向の方向指数は「3」である。領域1100から右上に隣り合う領域1114へ向かう方向の方向指数は「4」である。領域1100から上に隣り合う領域1115へ向かう方向の方向指数は「5」である。領域1100から左上に隣り合う領域1116へ向かう方向の方向指数は「6」である。領域1100から左に隣り合う領域1117へ向かう方向の方向指数は「7」である。 Also, the direction index in the direction from the region 1100 toward the region 1113 adjacent to the right is “3”. The direction index in the direction from the region 1100 toward the region 1114 adjacent to the upper right is “4”. The direction index in the direction from the region 1100 toward the adjacent region 1115 is “5”. The direction index in the direction from the region 1100 toward the region 1116 adjacent to the upper left is “6”. The direction index in the direction from the region 1100 toward the region 1117 adjacent to the left is “7”.
 ナビゲーション装置300は、領域1100に隣り合う渋滞発生の識別情報「1」が付与された領域を左回りに検索する。また、ナビゲーション装置300は、領域1100に隣り合う渋滞発生の識別情報が付与された領域の検索開始点を、前回の方向指数に基づいて決定する。具体的には、ナビゲーション装置300は、他の領域から領域1100へ向かう方向指数が「0」であった場合、領域1100の左に隣り合う領域、すなわち方向指数「7」の方向に隣り合う領域1117から検索を開始する。 The navigation device 300 searches the area adjacent to the area 1100 to which the traffic jam occurrence identification information “1” is assigned in the counterclockwise direction. In addition, the navigation device 300 determines the search start point of the area to which the traffic jam occurrence identification information adjacent to the area 1100 is assigned based on the previous direction index. Specifically, when the direction index from another area toward area 1100 is “0”, navigation apparatus 300 has an area adjacent to the left of area 1100, that is, an area adjacent in the direction of direction index “7”. The search starts from 1117.
 同様に、ナビゲーション装置300は、他の領域から領域1100へ向かう方向指数が「1」~「7」であった場合、領域1100の左下、下、右下、右、右上、上、左上に隣り合う領域、すなわちそれぞれ方向指数「0」、「1」、「2」、「3」、「4」、「5」、「6」の方向に隣り合う領域1110~1116から検索を開始する。そして、ナビゲーション装置300は、領域1100から各領域1110~1117のいずれか一の領域から渋滞発生の識別情報「1」を検出した場合、渋滞発生の識別情報「1」を検出した領域1110~1117に対応する方向指数「0」~「7」を、領域1100に関連付けて記憶装置に書き込む。 Similarly, when the direction index from another region toward the region 1100 is “1” to “7”, the navigation device 300 is adjacent to the lower left, lower, lower right, right, upper right, upper, upper left of the region 1100. The search is started from the matching regions, that is, the regions 1110 to 1116 adjacent in the directions of the direction indices “0”, “1”, “2”, “3”, “4”, “5”, “6”, respectively. When the navigation apparatus 300 detects the congestion occurrence identification information “1” from any one of the areas 1110 to 1110 to 1117, the areas 1110 to 1117 that have detected the congestion occurrence identification information “1”. The direction indices “0” to “7” corresponding to are written in the storage device in association with the area 1100.
 具体的には、ナビゲーション装置300は、次のように車両の渋滞範囲の輪郭を抽出する。図10(B)に示すように、ナビゲーション装置300は、まず、k行k列の2次元行列データ(Y,X)のメッシュデータ1120のa行a列の領域から行単位で渋滞発生の識別情報が付与された領域を検索する。 Specifically, the navigation device 300 extracts the contour of the traffic jam range of the vehicle as follows. As shown in FIG. 10 (B), the navigation device 300 first identifies the occurrence of traffic congestion in units of rows from the region of the a row and a column of the mesh data 1120 of the two-dimensional matrix data (Y, X) of k rows and k columns. Search for an area to which information is assigned.
 メッシュデータ1120のa行目のすべての領域には渋滞未発生の識別情報が付与されているので、次に、ナビゲーション装置300は、メッシュデータ1120のb行a列の領域からb行h列の領域に向かって渋滞発生の識別情報を検索する。そして、ナビゲーション装置300は、メッシュデータ1120のb行e列の領域1121において渋滞発生の識別情報を検出した後、メッシュデータ1120のb行e列の領域1121から左回りに、車両の渋滞範囲の輪郭となる渋滞発生の識別情報を有する領域を検索する。 Since all the regions in the a-th row of the mesh data 1120 are provided with identification information indicating that no traffic jam has occurred, the navigation apparatus 300 next moves from the region in the b-th row to the b-th column in the mesh data 1120. Search for identification information on the occurrence of traffic jams toward the area. The navigation apparatus 300 detects the traffic jam occurrence identification information in the b row and e column area 1121 of the mesh data 1120, and then rotates counterclockwise from the b row and e column area 1121 of the mesh data 1120. The area having the identification information of the occurrence of the traffic jam that becomes the outline is searched.
 具体的には、ナビゲーション装置300は、領域1121の左に隣り合うb行d列の領域はすでに検索済みのため、まず、領域1121の左下に隣り合う領域1122から左回りに、渋滞発生の識別情報を有する領域があるか否かを検索する。そして、ナビゲーション装置300は、領域1122の渋滞発生の識別情報を検出し、領域1121から領域1122へ向かう方向の方向指数「0」を、領域1121に関連付けて記憶装置に記憶する。 Specifically, since the navigation apparatus 300 has already searched the area of b rows and d columns adjacent to the left of the area 1121, first, the occurrence of the traffic jam is identified in the counterclockwise direction from the area 1122 adjacent to the lower left of the area 1121. Search whether there is an area having information. Then, the navigation apparatus 300 detects the traffic jam occurrence identification information in the area 1122 and stores the direction index “0” in the direction from the area 1121 to the area 1122 in association with the area 1121 in the storage device.
 次に、ナビゲーション装置300は、前回の方向指数「0」であるため、領域1122の左に隣り合うc行c列の領域から左回りに、渋滞発生の識別情報を有する領域があるか否かを検索する。そして、ナビゲーション装置300は、領域1122の左下に隣り合う領域1123の渋滞発生の識別情報を検出し、領域1122から領域1123へ向かう方向の方向指数「0」を、前回の方向指数に関連付けて記憶装置に記憶する。 Next, since the navigation device 300 has the previous direction index “0”, whether or not there is a region having identification information for occurrence of traffic jam in the counterclockwise direction from the region of c rows and c columns adjacent to the left of the region 1122. Search for. Then, the navigation apparatus 300 detects the traffic jam occurrence identification information in the area 1123 adjacent to the lower left of the area 1122, and stores the direction index “0” in the direction from the area 1122 to the area 1123 in association with the previous direction index. Store in the device.
 以降、ナビゲーション装置300は、前回の方向指数に基づいて検索開始点を決定し、検索開始点から左回りに渋滞発生の識別情報を有する領域があるか否かを検索する処理を、方向指数に対応する矢印が領域1121に戻ってくるまで繰り返しおこなう。具体的には、ナビゲーション装置300は、領域1123の左に隣り合う領域から左回りに、渋滞発生の識別情報を有する領域があるか否かを検索し、領域1123の下に隣り合う領域1124の渋滞発生の識別情報を検出して、方向指数「1」を前回の方向指数に関連付けて記憶装置に記憶する。 Thereafter, the navigation device 300 determines a search start point based on the previous direction index, and uses the direction index as a process for searching whether there is an area having identification information for occurrence of traffic jam counterclockwise from the search start point. The process is repeated until the corresponding arrow returns to the area 1121. Specifically, navigation device 300 searches whether there is a region having identification information for occurrence of traffic jam counterclockwise from the region adjacent to the left of region 1123, and searches for region 1124 adjacent to region 1123. The identification information of the occurrence of traffic jam is detected, and the direction index “1” is stored in the storage device in association with the previous direction index.
 同様に、ナビゲーション装置300は、前回の方向指数に基づいて検索開始点を決定した後、検索開始点から左回りに渋滞発生の識別情報を有する領域を検索し、渋滞発生の識別情報を有する領域1124~1134を順次検出する。そして、ナビゲーション装置300は、方向指数を取得するごとに前回の方向指数に関連付けて記憶装置に記憶する。 Similarly, after determining the search start point based on the previous direction index, the navigation device 300 searches the area having the traffic jam identification information counterclockwise from the search start point, and the area having the traffic jam identification information 1124 to 1134 are sequentially detected. Then, every time the navigation device 300 acquires the direction index, the navigation device 300 associates it with the previous direction index and stores it in the storage device.
 その後、ナビゲーション装置300は、領域1134の右上に隣り合うb行f列の領域から左回りに、渋滞発生の識別情報を有する領域があるか否かを検索し、領域1134の上に隣り合う領域1121の渋滞発生の識別情報を検出して、方向指数「5」を前回の方向指数に関連付けて記憶装置に記憶する。これにより、記憶装置には、方向指数「0」→「0」→「1」→「0」→「2」→「3」→「4」→「3」→「2」→「5」→「5」→「6」→「6」→「5」がこの順で記憶される。 After that, the navigation device 300 searches whether there is an area having identification information for occurrence of traffic jam in the counterclockwise direction from the area of the b row and f column adjacent to the upper right of the area 1134, and the adjacent area on the area 1134. 1121 is detected, and the direction index “5” is stored in the storage device in association with the previous direction index. As a result, the direction index “0” → “0” → “1” → “0” → “2” → “3” → “4” → “3” → “2” → “5” → “5” → “6” → “6” → “5” is stored in this order.
 このようにナビゲーション装置300は、最初に検出した領域1121から、当該領域1121に隣り合う渋滞発生の識別情報を有する領域1122~1134を左回りに順次検索し方向指数を取得する。そして、ナビゲーション装置300は、領域1121から方向指数に対応する方向の一の領域を塗りつぶす。 As described above, the navigation device 300 sequentially searches counterclockwise the areas 1122 to 1134 having the traffic jam occurrence identification information adjacent to the area 1121 from the first detected area 1121 to obtain the direction index. Then, the navigation device 300 fills one area in the direction corresponding to the direction index from the area 1121.
 図10に示すように、上記の処理により領域一つの渋滞範囲(領域A)および輪郭について抽出でき、同様の処理により、他の渋滞範囲(領域B)および輪郭についても抽出することができる。このように、複数の領域に対する輪郭をそれぞれ抽出するには、以前に抽出した輪郭を別のバッファに保存しておき、次の輪郭を走査する際に、以前に抽出した輪郭を2度抽出しない制御をおこなう。 As shown in FIG. 10, it is possible to extract a traffic jam area (region A) and contour of one region by the above processing, and it is also possible to extract other traffic jam ranges (region B) and contour by the same processing. As described above, in order to extract the contours for a plurality of regions, the previously extracted contours are stored in another buffer, and when the next contour is scanned, the previously extracted contours are not extracted twice. Take control.
 図11は、ナビゲーション装置による車両の渋滞範囲抽出後のメッシュデータの一例を模式的に示す説明図である。図10の処理により、図11に示すように、ある一つの渋滞範囲の輪郭1101および当該輪郭1101に囲まれた部分1102からなる車両の渋滞範囲1100を有するメッシュデータを生成する。 FIG. 11 is an explanatory view schematically showing an example of mesh data after the vehicle traffic jam area extraction by the navigation device. As shown in FIG. 11, the processing of FIG. 10 generates mesh data having a vehicle traffic jam area 1100 composed of a contour 1101 of a traffic jam area and a portion 1102 surrounded by the contour 1101.
(ナビゲーション装置によるクロージング処理後の表示例)
 次に、ナビゲーション装置によるクロージング処理後の表示例について説明する。図12は、ナビゲーション装置による渋滞の輪郭表示画面を示す図である。
(Display example after closing with navigation device)
Next, a display example after the closing process by the navigation device will be described. FIG. 12 is a diagram showing a contour display screen of a traffic jam by the navigation device.
 ナビゲーション装置300によってクロージング処理がおこなわれることにより、図12に示すように、地図画面1200上には、同じ渋滞度合いの領域を繋いだ渋滞範囲1201(図中斜線領域)が重ねて表示される。なお、この渋滞範囲1201は、半透明とすることにより、重なった箇所の地図内容を確認することができ、渋滞発生箇所を判別できるようになる。また、図12に示す渋滞範囲1201の輪郭1202は、所定の平滑化処理を実行したものであり、車両の渋滞範囲1201の輪郭1202をなめらかに表示することができる。 When the closing process is performed by the navigation device 300, as shown in FIG. 12, a congestion area 1201 (shaded area in the figure) connecting areas having the same congestion degree is displayed on the map screen 1200 in an overlapping manner. The traffic jam area 1201 is semi-transparent, so that the map contents of the overlapping location can be confirmed, and the traffic jam occurrence location can be discriminated. Further, a contour 1202 of the traffic jam range 1201 shown in FIG. 12 is obtained by executing a predetermined smoothing process, and the contour 1202 of the traffic jam range 1201 of the vehicle can be displayed smoothly.
 図12に示される渋滞範囲1201は、第1速度情報(実際速度V)と第2速度情報(静的速度V0)に基づき算出した混雑度を用いて判定したものであるため、実際に走行する際の混雑度に対応した状態として表示することができる。このため、図12に示す渋滞範囲1201は、従来のリンク平均速度に基づき広範囲な渋滞範囲となりやすい。たとえば、速度が40km/h以下の道路を渋滞範囲として表示すると、制限速度が40km/h以下の道路がすべて含まれ、混雑していない道路も渋滞範囲となってしまう。また、メッシュの中のすべての道路の速度を平均したとしても、制限速度が40km/h以下で渋滞していない道路が多く含まれる可能性があり、この場合、メッシュは混雑していない割合が高いにもかかわらず、平均速度は低い値となるので、適切な渋滞判定はできない。これに対し、上記実施例によれば、実際には混雑していない地点を除いた混雑度を表示することができる。 The traffic congestion range 1201 shown in FIG. 12 is determined using the congestion degree calculated based on the first speed information (actual speed V) and the second speed information (static speed V0), and thus actually travels. It can be displayed as a state corresponding to the degree of congestion at the time. For this reason, the traffic jam range 1201 shown in FIG. 12 tends to be a wide traffic jam range based on the conventional link average speed. For example, if a road having a speed of 40 km / h or less is displayed as a traffic jam range, all roads having a speed limit of 40 km / h or less are included, and an uncongested road also becomes a traffic jam range. In addition, even if the speeds of all roads in the mesh are averaged, there may be many roads where the speed limit is 40 km / h or less and there is no traffic jam. In this case, the mesh is not congested. Despite being high, the average speed becomes a low value, so appropriate traffic jam judgment cannot be made. On the other hand, according to the said Example, the congestion degree except the point which is not actually crowded can be displayed.
 以上説明したように、ナビゲーション装置300によれば、渋滞発生の識別情報が付与された領域に基づいて、移動体の渋滞範囲を生成し、渋滞がどの程度広がっているかをユーザに伝えることができる。 As described above, according to the navigation device 300, the traffic jam range of the moving body can be generated based on the area to which the traffic jam occurrence identification information is given, and the extent of the traffic jam can be notified to the user. .
 この渋滞表示では、ナビゲーション装置300は、地図情報を分割した複数の領域を画像データに変換し、当該複数の領域それぞれの混雑度の判定をおこない、渋滞の識別情報を付与した後、画像の膨張、収縮処理をおこなう。このため、ナビゲーション装置300は、移動体の渋滞範囲内の欠損点や孤立点を除去することができ、渋滞範囲を2次元のなめらかな面でかつ見やすく表示することができる。 In this traffic jam display, the navigation device 300 converts a plurality of areas obtained by dividing the map information into image data, determines the degree of congestion of each of the plurality of areas, adds traffic jam identification information, and then expands the image. Perform shrinkage treatment. For this reason, the navigation apparatus 300 can remove missing points and isolated points in the traffic jam range of the moving body, and can display the traffic jam range in a two-dimensional smooth surface and in an easy-to-view manner.
 また、ナビゲーション装置300は、混雑度を第1速度情報(実際速度V)と第2速度情報(静的速度V0)に基づき算出するため、実際に走行する際の混雑度に対応した渋滞範囲を表示することができ、渋滞範囲をより正確に知らせることができるようになる。 In addition, since the navigation device 300 calculates the congestion level based on the first speed information (actual speed V) and the second speed information (static speed V0), a congestion range corresponding to the congestion level when actually traveling is set. It can be displayed, and the traffic jam range can be notified more accurately.
 また、上述した実施例では、渋滞の度合いを一つとした表示例について説明したが、渋滞の度合いを複数段階で判断することにより、第2の領域を複数生成し、渋滞の度合いを異なる色等を有して表示してもよい。たとえば、渋滞度合いが低い領域は半透明の青色とし、最も渋滞度合いが高い領域は赤として渋滞の度合いを一目で分かる色を用いて区別できる。なお、渋滞度合いが高い領域は、渋滞度合いが低い領域に含まれ、重ねて表示されることになる。 Further, in the above-described embodiment, the display example in which the degree of traffic congestion is one has been described. However, by determining the degree of traffic congestion in a plurality of stages, a plurality of second areas are generated, and the degree of traffic congestion is different. May be displayed. For example, an area where the degree of congestion is low can be translucent blue, and an area where the degree of congestion is highest can be red, so that the degree of congestion can be distinguished at a glance. Note that an area with a high degree of congestion is included in an area with a low degree of congestion and is displayed in an overlapping manner.
 また、実施例では、地図表示と、渋滞範囲の面での表示とをカーナビゲーションを用いて表示制御する構成について説明したが、他のスマートフォンなどの情報端末を用いて表示制御してもよい。 In the embodiment, the configuration in which the display of the map and the display in the area of the traffic jam is controlled using the car navigation has been described, but the display may be controlled using an information terminal such as another smartphone.
(実施の形態2)
 上述した実施の形態1では、表示制御装置として単一機器のナビゲーション装置を用いる構成としたが、サーバと端末間を無線通信等によりデータ通信するシステム構成としてもよい。図13は、実施の形態2にかかる表示制御システムの機能的構成の一例を示すブロック図である。表示制御システム1300の端末1301は、図1に記載した第1取得部101と、第2取得部102と、表示部107と、を備え、サーバ1302に対して第1取得部101および第2取得部102が取得した情報を無線通信等により送信出力する。
(Embodiment 2)
In the first embodiment described above, a single device navigation device is used as the display control device. However, a system configuration in which data communication is performed between the server and the terminal by wireless communication or the like may be employed. FIG. 13 is a block diagram of an example of a functional configuration of the display control system according to the second embodiment. A terminal 1301 of the display control system 1300 includes the first acquisition unit 101, the second acquisition unit 102, and the display unit 107 described in FIG. 1, and the first acquisition unit 101 and the second acquisition to the server 1302. The information acquired by the unit 102 is transmitted and output by wireless communication or the like.
 サーバ1302は、図1に示した表示制御部103と、分割部104と、算出部106と、地図情報の格納部105の機能を備え、端末1301から送信された情報に基づき、渋滞表示の表示画面を生成し、端末1301に無線通信等により送信出力する。端末1301は、サーバ1302から出力された表示画面を表示部107に表示出力する。 The server 1302 has the functions of the display control unit 103, the division unit 104, the calculation unit 106, and the map information storage unit 105 shown in FIG. 1, and displays a traffic jam display based on information transmitted from the terminal 1301. A screen is generated and transmitted to the terminal 1301 by wireless communication or the like. The terminal 1301 displays and outputs the display screen output from the server 1302 on the display unit 107.
 また、図13に示した端末1301の機能をより削減し、図1に示した第2取得部102の機能をサーバ1302が有する構成としてもよい。また、サーバ1302は、機能別に複数のサーバが連携処理する構成としてもよい。たとえば、算出部106の機能および分割部104を有するサーバと、表示制御部103の機能を有するサーバに分けてもよい。 Further, the function of the terminal 1301 shown in FIG. 13 may be further reduced, and the server 1302 may have the function of the second acquisition unit 102 shown in FIG. Further, the server 1302 may be configured such that a plurality of servers cooperate with each other for each function. For example, the server having the function of the calculation unit 106 and the dividing unit 104 and the server having the function of the display control unit 103 may be divided.
 なお、本実施の形態で説明した表示制御方法は、あらかじめ用意されたプログラムをパーソナル・コンピュータやワークステーションなどのコンピュータで実行することにより実現することができる。このプログラムは、ハードディスク、フレキシブルディスク、CD-ROM、MO、DVDなどのコンピュータで読み取り可能な記録媒体に記録され、コンピュータによって記録媒体から読み出されることによって実行される。またこのプログラムは、インターネットなどのネットワークを介して配布することが可能な伝送媒体であってもよい。 The display control method described in this embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. This program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. The program may be a transmission medium that can be distributed via a network such as the Internet.
 100 表示制御装置
 101 第1取得部
 102 第2取得部
 103 表示制御部
 104 分割部
 105 格納部
 106 算出部
 107 表示部
DESCRIPTION OF SYMBOLS 100 Display control apparatus 101 1st acquisition part 102 2nd acquisition part 103 Display control part 104 Division | segmentation part 105 Storage part 106 Calculation part 107 Display part

Claims (9)

  1.  渋滞に関する情報を、表示部に表示された地図に重畳して表示させる表示制御装置であって、
     地図上における複数の所定の区間のそれぞれを移動する移動体の速度に関する第1速度情報を取得する第1取得部と、
     前記複数の所定の区間のそれぞれにおいて、渋滞によって速度が制限されることがない所定の環境における前記所定の区間のそれぞれを移動体が移動するときの速度に関する第2速度情報を取得する第2取得部と、
     前記第1速度情報と前記第2速度情報に基づいて、所定の渋滞度合いを示す領域を、前記表示部に表示された地図に重畳して表示させる表示制御部と、
     を備えることを特徴とする表示制御装置。
    A display control device that displays information related to traffic jams superimposed on a map displayed on a display unit,
    A first acquisition unit that acquires first speed information related to the speed of a moving body that moves in each of a plurality of predetermined sections on a map;
    A second acquisition for acquiring second speed information related to a speed when the moving body moves in each of the predetermined sections in a predetermined environment where the speed is not limited by traffic jams in each of the plurality of predetermined sections. And
    Based on the first speed information and the second speed information, a display control unit that displays a region indicating a predetermined degree of congestion on the map displayed on the display unit,
    A display control apparatus comprising:
  2.  地図情報を複数の第1の領域に分割する分割部と、
     前記第1の領域のそれぞれに含まれる道路についての前記第1速度情報と前記第2速度情報に基づいて、前記第1の領域が所定の渋滞度合いであるか否かの混雑度を算出する算出部とを備え、
     前記表示制御部は、前記算出部によって算出された混雑度に基づき所定の渋滞度合いを示す領域を、前記表示部に表示された地図に重畳して表示させる、
     ことを特徴とする請求項1に記載の表示制御装置。
    A dividing unit for dividing the map information into a plurality of first regions;
    Calculation for calculating the degree of congestion as to whether or not the first area has a predetermined degree of congestion based on the first speed information and the second speed information for roads included in each of the first areas. With
    The display control unit displays a region indicating a predetermined degree of congestion based on the degree of congestion calculated by the calculation unit, superimposed on the map displayed on the display unit,
    The display control apparatus according to claim 1.
  3.  前記所定の環境は、夜間であり、
     前記第2速度情報は、夜間に前記所定の区間のそれぞれを移動体の移動速度の平均を示す速度の情報であることを特徴とする請求項1に記載の表示制御装置。
    The predetermined environment is at night,
    The display control apparatus according to claim 1, wherein the second speed information is speed information indicating an average of moving speeds of moving bodies in the predetermined sections at night.
  4.  前記算出部は、前記混雑度を、所定の閾値と比較し、前記第1の領域に含まれる前記複数の所定の区間のうち前記混雑度が高い区間が一つでもある場合、複数の区間の混雑度の平均が超える場合、あるいは複数の区間の混雑度のヒストグラムを用いて、閾値を超える区間数が一定値以上ある場合に、前記第1の領域が混雑していると判断することを特徴とする請求項2に記載の表示制御装置。 The calculation unit compares the congestion degree with a predetermined threshold, and when there is at least one section with a high congestion degree among the plurality of predetermined sections included in the first region, It is determined that the first area is congested when the average congestion degree is exceeded, or when the number of sections exceeding the threshold is equal to or greater than a certain value using a histogram of congestion degrees of a plurality of sections. The display control device according to claim 2.
  5.  渋滞に関する情報を、表示部に表示された地図に重畳して表示させる表示制御装置が実施する表示制御方法において、
     地図上における複数の所定の区間のそれぞれを移動する移動体の速度に関する第1速度情報を第1取得部により取得する第1取得工程と、
     前記複数の所定の区間のそれぞれにおいて、渋滞によって速度が制限されることがない所定の環境における前記所定の区間のそれぞれを移動体が移動するときの速度に関する第2速度情報を第2取得部により取得する第2取得工程と、
     前記第1速度情報と前記第2速度情報に基づいて、所定の渋滞度合いを示す領域を、前記表示部に表示された地図に重畳して表示制御部により表示させる表示制御工程と、
     を含むことを特徴とする表示制御方法。
    In a display control method implemented by a display control device that displays information related to traffic jams superimposed on a map displayed on a display unit,
    A first acquisition step of acquiring, by a first acquisition unit, first speed information related to the speed of a moving body that moves in each of a plurality of predetermined sections on a map;
    In each of the plurality of predetermined sections, the second acquisition unit obtains second speed information related to the speed at which the moving body moves in each of the predetermined sections in a predetermined environment where the speed is not limited by traffic congestion. A second acquisition step to acquire;
    Based on the first speed information and the second speed information, a display control step of superimposing a region indicating a predetermined degree of traffic congestion on a map displayed on the display unit and displaying it on a display control unit;
    A display control method comprising:
  6.  請求項5に記載の表示制御方法をコンピュータに実行させることを特徴とする表示制御プログラム。 A display control program for causing a computer to execute the display control method according to claim 5.
  7.  端末と、前記端末に通信接続されたサーバとからなる表示制御システムにおいて、
     前記端末は、
     地図上における複数の所定の区間のそれぞれを移動する移動体の速度に関する第1速度情報を取得し、サーバに送信する第1取得部と、
     前記複数の所定の区間のそれぞれにおいて、渋滞によって速度が制限されることがない所定の環境における前記所定の区間のそれぞれを移動体が移動するときの速度に関する第2速度情報を取得し、サーバに送信する第2取得部と、
     地図情報と渋滞情報を表示する表示部と、を備え、
     前記サーバは、
     前記第1速度情報と前記第2速度情報に基づいて、所定の渋滞度合いを示す領域の表示データを生成し、前記端末の表示部に表示させる表示制御部、
     を備えることを特徴とする表示制御システム。
    In a display control system comprising a terminal and a server connected to the terminal for communication,
    The terminal
    A first acquisition unit that acquires first speed information related to the speed of a moving body that moves in each of a plurality of predetermined sections on a map,
    In each of the plurality of predetermined sections, second speed information about a speed at which the moving body moves in each of the predetermined sections in a predetermined environment where the speed is not limited by traffic congestion is acquired, and A second acquisition unit to transmit;
    A display unit for displaying map information and traffic jam information,
    The server
    Based on the first speed information and the second speed information, a display control unit that generates display data of a region indicating a predetermined degree of congestion and displays the display data on the display unit of the terminal,
    A display control system comprising:
  8.  端末が取得した地図上における複数の所定の区間のそれぞれを移動する移動体の速度に関する第1速度情報と、前記複数の所定の区間のそれぞれにおいて、渋滞によって速度が制限されることがない所定の環境における前記所定の区間のそれぞれを移動体が移動するときの速度に関する第2速度情報に基づいて、所定の渋滞度合いを示す領域の表示データを生成し、前記端末の表示部に表示させる表示制御部、
     を備えることを特徴とする表示制御サーバ。
    First speed information related to the speed of a moving body that moves in each of a plurality of predetermined sections on the map acquired by the terminal, and a predetermined speed that is not limited by congestion in each of the plurality of predetermined sections Display control for generating display data of a region indicating a predetermined degree of traffic congestion based on second speed information relating to a speed when the moving body moves in each of the predetermined sections in the environment and displaying the display data on the display unit of the terminal Part,
    A display control server comprising:
  9.  地図上における複数の所定の区間のそれぞれを移動する移動体の速度に関する第1速度情報を取得し、サーバに送信する第1取得部と、
     前記複数の所定の区間のそれぞれにおいて、渋滞によって速度が制限されることがない所定の環境における前記所定の区間のそれぞれを移動体が移動するときの速度に関する第2速度情報を取得し、サーバに送信する第2取得部と、
     地図情報と渋滞情報を表示する表示部と、を備え、
     前記サーバにより、前記第1速度情報と、前記第2速度情報に基づいて、所定の渋滞度合いを示す領域の表示データが生成され、当該生成された表示データを前記表示部に表示することを特徴とする端末。
    A first acquisition unit that acquires first speed information related to the speed of a moving body that moves in each of a plurality of predetermined sections on a map,
    In each of the plurality of predetermined sections, second speed information about a speed at which the moving body moves in each of the predetermined sections in a predetermined environment where the speed is not limited by traffic congestion is acquired, and A second acquisition unit to transmit;
    A display unit for displaying map information and traffic jam information,
    Based on the first speed information and the second speed information, the server generates display data of an area indicating a predetermined degree of congestion, and displays the generated display data on the display unit. Terminal.
PCT/JP2012/084240 2012-12-28 2012-12-28 Display control device, display control method, display control program, display control system, display control server, and terminal WO2014103081A1 (en)

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