JP5418414B2 - Navigation device and program - Google Patents

Description

The present invention relates to a navigation device and a program.

2. Description of the Related Art Conventionally, navigation systems that are installed and used in vehicles (such as automobiles) have been widely used.
For example, when a departure point and a destination are specified by a user, the navigation system appropriately searches (searches) for a guidance route from the departure point to the destination, and indicates the guidance route obtained by the search on a map image. Display on the monitor. In addition, the navigation system combines and displays a host vehicle symbol indicating the current position of the host vehicle (own vehicle) on a map image showing the guidance route.
The user can easily reach the destination by driving the vehicle along the guidance route while grasping the current position of the vehicle with the vehicle symbol on the map image.

  In order to search for a guidance route, such a navigation system stores in advance road network information including, for example, section information which is an element of each road called a link and intersection / branch point information called a node. ing. Then, from these stored road network information, a combination of a link and a node such that the distance from the starting point to the destination is the shortest distance or the required time is the shortest time is searched, and the guide route As presented.

  And the technique regarding the display of such a navigation system is also disclosed (for example, refer patent document 1).

JP 7-159194 A (page 3-4, FIG. 1)

As described above, the conventional navigation system searches for a guide route that has the shortest distance and the shortest time when searching for a guide route from the departure point to the destination.
However, the guidance route searched in this way often does not always satisfy the user. In other words, because the purpose and conditions of traveling differ for each user, even if the guidance route with the shortest distance and the shortest time is presented uniformly, various inconveniences occur depending on the user who has traveled the guidance route. There was a case.

For example, as an example of user's needs, a) If you want a driving route with the least fuel consumption (energy saving), b) Because the user (driver) is a beginner or an elderly person unfamiliar with driving, There are cases where the driver wants a driving route with as few turns as possible and lane changes as much as possible, and c) because the passenger is an infant or a sick person and wants a driving route that is as comfortable as possible.
In such a case, if you drive along the suggested shortest distance or shortest time guide route, it is against energy saving, it is difficult for beginners to drive, and it is more than necessary for infants due to shaking etc. It will be painful.

In other words, even if the user desires energy saving, for example, if a guidance route such as crossing a mountain with many ups and downs is searched, even if it is the shortest distance or the shortest time, it is contrary to energy saving. It will be.
In addition, when the driver is a beginner or the like, for example, if a guidance route that frequently uses right turns or lane changes is searched, the beginner or the like is forced to drive with a high degree of difficulty. The driver may give up driving along the way.
Furthermore, when a passenger is an infant or the like, if a guidance route such as an unpaved road having a large (large) road surface unevenness is searched, the infant or the like may cry due to poor riding comfort.

  That is, the conventional navigation system has a problem that an appropriate guidance route corresponding to various objective conditions cannot be searched.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a navigation device and a program capable of searching for an appropriate travel route according to various objective conditions.

The navigation device according to claim 1 is a navigation device that performs a route search based on a plurality of determination element items relating to a traffic network, and includes a setting unit that sets characteristics of a driver or a passenger, and the setting unit. Determining means for determining a weight value corresponding to a set characteristic; and search means for performing a route search based on a determination element item weighted by the weight value determined by the determining means, wherein the determining means includes: When the characteristic of the passenger is set by the setting means, the weight value for the determination element item indicating the unevenness of the road surface is made larger than when the characteristic of the driver is set .

In the navigation device according to the second aspect of the present invention, when the driver characteristic is set by the setting means, the determination means indicates the number of accidents in the past as compared with the case where the passenger characteristic is set. It is characterized by increasing the weight value for an item.

The invention according to claim 3 is characterized in that the setting means can further set one of the characteristics of the occupant among an infant, a sick person, and a constitution prone to intoxication.
The invention according to claim 4 is characterized in that the setting means can further set the characteristics of the driver as one of beginners, elderly persons, and people who are not good at narrow roads. .

The invention according to claim 5 further includes a traffic network information storage configured to include a plurality of nodes and links that define a traffic network, and to store traffic network information in which predetermined judgment element items are set for each link at least. Corresponding to each of a plurality of characteristics that can be set by the setting means, weight information storage means for storing a weight value for each determination element item of the traffic network information, and characteristics set by the setting means Correction means for correcting at least the section distance of each link according to the corresponding weight value of the weight information storage means and each determination element item of the traffic network information, and the search means is corrected by the correction means. Based on the section distance of each link made, it is characterized by searching for a movement route in which the entire movement distance becomes shorter.
A navigation device according to a sixth aspect of the present invention is a navigation device that performs a route search based on a plurality of determination element items relating to a traffic network, and includes a setting unit that sets characteristics of a driver or a passenger, and the setting unit. Determining means for determining a weight value corresponding to a set characteristic; and search means for performing a route search based on a determination element item weighted by the weight value determined by the determination means, wherein the determination element item is The weight information storage means includes a boarding element including a judgment element item relating to a road characteristic affecting the ease of driving of the driver and a judgment element item relating to a road characteristic affecting the comfort of the rider. For decision element items that have a greater degree of influence on driver ease of driving than driver comfort, the driver's characteristics are greater than the weight value corresponding to the passenger's characteristics. Towards the corresponding weight value is and to store a large value of more absolute.

A navigation device according to a sixth aspect of the present invention is a navigation device that performs a route search based on a plurality of determination element items relating to a traffic network, and includes a plurality of nodes and links that define the traffic network. Traffic network information storage means for storing traffic network information in which predetermined determination element items are set for each link, setting means for setting characteristics of a driver or a passenger, and a plurality of characteristics that can be set by the setting means Corresponding to the weight information storage means for storing the weight value for each judgment element item of the traffic network information, and the setting means based on the weight value stored in the weight information storage means. A determination unit that determines a weight value corresponding to the characteristic, and a route based on a determination element item weighted by the weight value determined by the determination unit And searching means for performing search, weight values of the weight information storage means corresponding to the characteristics set by the setting means and in accordance with the determined element item of the transportation network information, correction means for correcting at least section distance of each link The search means searches for a travel route in which the overall travel distance is shorter based on the section distance of each link corrected by the correction means, and the determination element item is a driver's driving A judgment element item relating to a road characteristic that affects ease and a judgment element item relating to a road characteristic affecting passenger comfort, wherein the weight information storage means is more than passenger comfort For decision element items that have a large influence on the ease of driving by the driver, the weight value corresponding to the driver's characteristics is more absolute than the weight value corresponding to the passenger's characteristics. And to store a large value.

The invention according to claim 7 further includes a road width as a determination element item regarding a characteristic of the road that affects the ease of driving of the driver, and the weight information storage means includes a weight value corresponding to the road width as The weight value corresponding to the passenger characteristic stores the weight value having a smaller absolute value than the weight value corresponding to the driver characteristic.

The invention according to claim 8 further includes road surface unevenness as a determination element item regarding road characteristics that affect the comfort of the passenger, and the weight information storage means includes a weight value corresponding to the road surface unevenness. The weight value corresponding to the passenger characteristic is stored larger than the weight value corresponding to the driver characteristic.

The invention according to claim 9 is characterized in that the setting means can set energy saving priority in addition to the characteristics of the driver and the characteristics of the passenger, and the determination means is the driving set by the setting means. The weight value corresponding to the characteristics of the passenger, the characteristics of the passenger, or the energy saving priority is determined.

The invention described in claim 10 further includes a measuring means for measuring predetermined measurement data associated with movement, and the measurement data measured by the measuring means corresponding to the link in the traffic network information that was traveling at the time of measurement. A transmission unit that transmits to the server; a reception unit that receives data obtained by counting the measurement data on the server side; and an update unit that updates the traffic network information with the data received by the reception unit. It is characterized by that.

The invention according to claim 11 further includes at least one of an inclination sensor, an acceleration sensor, a gyro sensor, and a vehicle speed sensor, and a gradient of a road that is being traveled by data obtained from the sensor during travel, The apparatus further comprises acquisition means for acquiring at least one of road surface unevenness and curve curvature, and update means for updating the traffic network information with the data acquired by the acquisition means.
According to a twelfth aspect of the present invention, there is provided a program for a navigation device for performing a route search based on a plurality of determination element items relating to a traffic network, by setting means for setting characteristics of a driver or a passenger and the setting means A program for functioning as a determining unit that determines a weight value corresponding to the determined characteristic, and a search unit that performs a route search based on a determination element item weighted by the weight value determined by the determining unit, The determination means increases the weight value for the determination element item indicating road surface unevenness when the characteristic of the passenger is set by the setting means than when the characteristic of the driver is set. .
According to a thirteenth aspect of the present invention, there is provided a program for a navigation device for performing a route search based on a plurality of determination element items relating to a traffic network, and a setting means for setting characteristics of a driver or a passenger and the setting means A program for functioning as a determining unit that determines a weight value corresponding to the determined characteristic, and a search unit that performs a route search based on a determination element item weighted by the weight value determined by the determining unit, The determining means increases the weight value for the determination element item indicating the number of accidents in the past when the characteristic of the driver is set by the setting means than when the characteristic of the passenger is set. To do.
According to a fourteenth aspect of the present invention, there is provided a program for a navigation device that performs a route search based on a plurality of determination element items relating to a traffic network, including a plurality of nodes and links that define the traffic network, and at least each link. A traffic network information storage means for storing traffic network information in which predetermined decision element items are set, a setting means for setting characteristics of a driver or a passenger, and a plurality of characteristics that can be set by the setting means. Corresponding to each, weight information storage means for storing a weight value for each judgment element item of the traffic network information, and based on the weight value stored in the weight information storage means, set by the setting means Based on a determination means for determining a weight value corresponding to the characteristic, and a determination element item weighted by the weight value determined by the determination means. And searching means for performing search, weight values of the weight information storage means corresponding to the characteristics set by the setting means and in accordance with the determined element item of the transportation network information, correction means for correcting at least section distance of each link a program for causing a function as the search means, on the basis of the interval length of each link that has been corrected by the correction means, searches the moving route moving distance of the whole becomes shorter, the decision element The item includes a determination element item regarding a road characteristic that affects the ease of driving of the driver, and a determination element item regarding a road characteristic that affects the comfort of the passenger, and the weight information storage unit includes For decision element items that have a greater impact on the ease of driving of the driver than the comfort of the passenger, the driver's characteristics are greater than the weight value corresponding to the characteristics of the passenger. Towards the corresponding weight value is and to store a large value of more absolute.

According to the present invention, a route that distinguishes the ease of driving of the driver from the comfort of the passenger based on the determination element item weighted by the weight value corresponding to the set driver or passenger characteristics. Search can be performed.

It is a schematic diagram which shows an example of a structure of the navigation system which concerns on the 1st Embodiment of this invention. It is a block diagram which shows an example of a structure of a management server. It is a schematic diagram which shows an example of node information. It is a schematic diagram which shows an example of link information. It is a schematic diagram which shows an example of the weight data table for distance conversion classified by purpose. It is a schematic diagram which shows an example of the link information by which the section distance was correct | amended according to the driving | running | working purpose, Comprising: (a) is a figure corresponding to energy saving, (b) respond | corresponds to a beginner and an elderly person (driver) (C) is a diagram corresponding to infants and sick persons (passengers). (A), (b) is a schematic diagram for demonstrating the link by which the section distance was correct | amended. It is a block diagram which shows an example of a structure of a vehicle-mounted terminal. It is a block diagram which shows an example of the logical structure of the navigation system which concerns on the 1st Embodiment of this invention. It is a flowchart for demonstrating the data conversion process performed in a management server. It is a flowchart for demonstrating the navigation process performed with a vehicle-mounted terminal. It is a block diagram which shows an example of the logical structure of the navigation system which concerns on the 2nd Embodiment of this invention. It is a schematic diagram which shows an example of link information. It is a schematic diagram which shows an example of the weight data table for distance conversion classified by purpose. It is a flowchart for demonstrating the driving | running | working data creation / transmission process performed with a vehicle-mounted terminal. It is a flowchart for demonstrating the data analysis / aggregation process performed in a management server.

  A navigation system according to an embodiment of the present invention will be described below with reference to the drawings.

(Embodiment 1)
FIG. 1 is a schematic diagram showing an example of the configuration of a navigation system applied to the first embodiment of the present invention. As shown in the figure, this system is configured by connecting a management server 1 and an in-vehicle terminal 2 mounted on a user's vehicle (vehicles Va, Vb, etc.) via a wireless communication network 9.

  The management server 1 is a server that manages each in-vehicle terminal 2. As shown in FIG. 2, the CPU 11, the storage device 12, the RAM 13, the display device 14, the disk drive 15, the input device 16, and the communication And the device 17.

A CPU (Central Processing Unit) 11 controls the entire management server 1 by, for example, executing a program read into the RAM 13 (a program execution area 13a described later).
Specifically, the CPU 11 executes a data conversion process to be described later, and corrects (converts) road network information (each section distance of link information to be described later) defining the road network according to the travel purpose (travel conditions). Then, the corrected road network information or the like is transmitted to each in-vehicle terminal 2 or recorded on the disk d so that each in-vehicle terminal 2 can be used.

The storage device 12 includes, for example, a hard disk and secures (stores) a program storage area 12a and a data storage area 12b.
In the program storage area 12a, various programs including data conversion processing described later are stored in advance.
On the other hand, map data, table data, and the like are stored in the data storage area 12b. These map data and table data will be specifically described.

  First, the map data includes road network information that defines the road network in addition to the map image for display. As an example, the road network information includes node information shown in FIG. 3 and link information shown in FIG.

  The node information is information that defines a node that becomes an intersection, a branching point, or the like, and includes information such as a node number, link connection information, and position information as shown in FIG. Each node is managed by a node number.

In addition, the link information is information that defines a link that becomes a section road connecting the nodes, and as shown in FIG. 4, the link number, the node connection information, the section distance, the congestion degree, the number of signals, the maximum curve curvature, It includes information such as road width, number of lanes, number of accidents per year, maximum gradient, average gradient, and road surface irregularities. Each link is managed by a link number.
Note that the node connection information and the section distance in FIG. 4 are basic data items used for searching a travel route. Information such as traffic congestion, number of signals, maximum curve curvature, road width, number of lanes, number of accidents per year, maximum gradient, average gradient, and road surface irregularities are used for multipurpose route judgment (link information correction), etc. Data item for determination to be made.

On the other hand, the table data includes, as an example, a purpose-specific distance conversion weight data table shown in FIG.
This purpose-specific distance conversion weight data table is a table that defines weight values for converting (correcting) link information (section distance of each link) corresponding to various travel purposes (travel conditions). As shown in FIG. 5, weight values for judgment factors such as section distance, degree of traffic congestion, number of signals, road width, maximum curve curvature, number of lanes, number of accidents per year, maximum gradient, average gradient, and road surface unevenness It is specified separately.
In FIG. 5, as an example of the driving purpose, there are energy saving (priority for energy saving), characteristics of the driver (beginners and poor at narrow roads, etc.), and characteristics of the passenger (physical constitution for infants and sickness). include.

Returning to FIG. 2, a RAM (Random Access Memory) 13 is composed of, for example, a dynamic RAM and the like, and secures a program execution area 13a and a work area 13b.
In the program execution area 13a, a program executed by the CPU 11 is appropriately read from the storage device 12 (program storage area 12a) and stored.

The work area 13b appropriately stores work data and the like necessary when the CPU 11 executes the program.
For example, link information after correction (conversion) as shown in FIGS. 6A to 6C is stored in the work area 13b.
The link information is information that has been data-converted according to the purpose of travel (travel conditions) by the CPU 11 executing a data conversion process described later. That is, each section information in the link information in FIG. 5 is corrected according to the purpose of travel.
Specifically, FIG. 6A shows link information corrected for the purpose of driving energy saving, and FIG. 6B is corrected using driving conditions for a beginner or an elderly person. FIG. 6C shows link information that is corrected with the traveling condition that an infant or sick person gets on board.

Then, when searching for a travel route having the shortest distance from the starting point to the destination, the link becomes difficult to search or is easily searched by correcting each section distance.
For example, in the case where the link n (actual section distance: 10 km) shown in FIG. 7 (a) is a section where the ups and downs are intense or an unpaved section, when energy saving is intended for traveling As shown in FIG. 7B, correction is made longer than the actual section distance (for example, 15 km). As a result, the link n is less likely to be searched as a travel route than before the correction.
Conversely, if the correction is made to be shorter than the actual section distance, the link is easily searched as a travel route.

  Returning to FIG. 2, the display device 14 is composed of, for example, a CRT (Cathode Ray Tube), an LCD (Liquid Crystal Display), or the like, and displays information indicating the operation status of the management server 1.

  The disk drive 15 stores map data (a map image for display and the above-described road network information) on a disk d made of, for example, a recordable (data writable) CD (Compact Disc) or a DVD (Digital Versatile Disk). Etc.). The disk d on which the map data is written by the disk drive 15 is used in the in-vehicle terminal 2 (disc drive 27 described later).

  The input device 16 includes, for example, a keyboard, a mouse, and the like, and inputs various information according to an operation of an operator who operates the management server 1.

The communication device 17 includes, for example, a modem or NIC (Network Interface Card) that can be connected to the wireless communication network 9, and transmits / receives various data to / from each in-vehicle terminal 2 via the wireless communication network 9.
For example, the communication device 17 uses the wireless communication network 9 to transmit road network information including link information (link information shown in FIGS. 6A to 6C described above) whose section distance is corrected according to the traveling purpose. Via each vehicle-mounted terminal 2.

  On the other hand, the in-vehicle terminal 2 includes, for example, a navigation device having a communication function. As shown in FIG. 8, the CPU 21, the RAM 22, the storage device 23, the display device 24, the communication device 25, An input device 26, a disk drive 27, and a sensor group 28 are included.

CPU21 controls the vehicle-mounted terminal 2 whole by, for example, running the program read to RAM22 (program execution area 22a mentioned later).
Specifically, the CPU 21 executes a navigation process to be described later, and uses the road network information (link information etc.) corrected according to the traveling purpose, and the link having the shortest distance from the starting point to the destination, Search the travel route of the node combination. Then, the user is appropriately guided to the destination along the travel route (guidance travel route) selected by the user.

The RAM 22 is composed of, for example, a dynamic RAM, and secures a program execution area 22a and a work area 22b.
Various programs executed by the CPU 11 are appropriately read and stored in the program execution area 22a, and work data and the like are appropriately stored in the work area 22b.

The storage device 23 includes, for example, a non-volatile memory or a hard disk, and secures a program storage area 23a and a data storage area 23b.
In the program storage area 23a, various programs executed by the CPU 21 are stored in advance.
The data storage area 23b stores various data corresponding to each program. For example, the data storage area 23b stores road network information including link information (link information as shown in FIGS. 6A to 6C described above) sent from the management server 1.

The display device 24 is composed of an LCD, for example, and displays various images generated by the CPU 21.
Specifically, the display device 24 displays a setting image (such as a list of place names or a map image) for allowing the user to set a destination or the like when the CPU 21 performs navigation processing described later, Display a selection image (purpose list, etc.) for allowing the user to select (condition).
In addition, after the guide route to the destination is determined, the road on the map image indicating the guide route is painted with a specific color (colored), and the vehicle (self-vehicle) of the vehicle is displayed on the map image. A navigation image in which the own vehicle symbol indicating the current position is superimposed is displayed.

The communication device 25 includes, for example, a transmission / reception unit for performing wireless communication suitable for the wireless communication network 9, and transmits / receives various data to / from the management server 2 via the wireless communication network 9.
For example, the communication device 25 receives road network information including link information (link information as shown in FIGS. 6A to 6C described above) sent from the management server 2.

The input device 26 includes, for example, a key switch arranged on the operation panel of the in-vehicle terminal 2 and inputs various instruction information in accordance with a user operation.
In addition, the input device 26 may be a remote controller (remote controller), a touch panel disposed on the front surface of the display device 24, or the like.

  The disk drive 27 is loaded with a disk d (created by the management server 1) made of, for example, a CD or a DVD, and the map data (map image for display and the road network described above) stored in the disk d. Information).

The sensor group 28 includes various sensors installed in the user's vehicle (vehicles Va, Vb, etc.), and appropriately measures various data in the vehicle.
Specifically, the sensor group 28 includes a travel distance sensor, a vehicle speed sensor, a position sensor (GPS; Global Positioning System), a gyro sensor, an acceleration sensor, a fuel consumption meter, an inclination sensor, and the like. The sensor group 28 supplies the measured data to the CPU 21 as appropriate.

  Next, the logical configuration (functional configuration) of the management server 1 and the in-vehicle terminal 2 described above will be described with reference to the block diagram of FIG.

First, the management server 1 will be described. As shown in the figure, the management server 1 includes multipurpose route determination map data 101, a distance conversion weight data table 102 for each purpose, a map data conversion processing unit 103, basic map data 104, a disk creation processing unit 105, Is composed of.
Note that the map data conversion processing unit 103 and the disc creation processing unit 105 in the figure are physically the processing contents of the CPU 11.

  The multipurpose route determination map data 101 includes, for example, map data including the node information shown in FIG. 3 and the link information shown in FIG. 4 (link information in which each section distance is not corrected).

  The purpose-specific distance conversion weight data table 102 is, for example, a data table as shown in FIG. That is, the table defines weight values for correcting (converting) the multipurpose route determination map data 101 (distances of each section of link information) corresponding to various travel purposes (travel conditions).

  The map data conversion processing unit 103 converts the multipurpose route determination map data 101 using the purpose-specific distance conversion weight data table 102. Specifically, the link data determination data item shown in FIG. 4 is multiplied by the corresponding weight data in the purpose-specific distance conversion weight data table shown in FIG. Correct the section distance. Then, the basic map data 104 including the corrected link information (link information as shown in FIGS. 6A to 6C) is generated.

The basic map data 104 is map data including link information in which each section distance is corrected by the map data conversion processing unit 103. For example, the basic map data 104 includes road network information including the node information shown in FIG. 3 and the link information shown in FIGS.
Such basic map data 104 is transmitted to each in-vehicle terminal 2 by the communication device 17 via the wireless communication network 9, for example.

  The disk creation processing unit 105 writes the basic map data 104 to the disk d. That is, the map data including the corrected link information is recorded on the disk d.

Next, the in-vehicle terminal 2 will be described. As illustrated, the in-vehicle terminal 2 includes a disk reading processing unit 201, basic map data 202, a target section setting / update processing unit 203, target section specifying information 204, target condition specifying information 205, and route extraction processing. A unit 206, route candidate data 207, and a route determination / display processing unit 208.
Note that the disk reading processing unit 201, the target section setting / update processing unit 203, the route extraction processing unit 206, and the route determination / display processing unit 208 in FIG.

  The disk reading processor 201 reads data stored on the disk d. For example, the disk reading processing unit 201 reads map data including link information (link information shown in FIGS. 6A to 6C) corrected according to a traveling purpose (traveling condition) from the disk d.

  The basic map data 202 is map data read from the disk d by the disk reading processing unit 201 or transmitted from the management server 1. For example, the basic map data 202 includes node information shown in FIG. 3 and link information in which each section distance is corrected according to the traveling purpose shown in FIGS.

The destination section setting / updating processing unit 203 specifies a departure place and a destination based on inputs from the input device 26 and the sensor group 28, and generates destination section designation information 204. For example, when the name of each place of departure and destination and each position on the map are input from the input device 26, the destination section setting / update processing unit 203, based on the input information, Search for nodes and links corresponding to each of. Then, the node and link obtained by the search are stored in the work area 22b as the target section designation information 204.
Further, the target section setting / update processing unit 203 updates the target section specifying information 204 based on the input from the sensor group 28. For example, when a change in the current position (deviation from a guided travel route, which will be described later) is detected from a position sensor (GPS) or the like of the sensor group 28, the contents of the target section designation information 204 (the node corresponding to the departure place and Link).

  The destination section designation information 204 is a node corresponding to each of the departure point and the destination set (generated) by the destination section setting / update processing unit 203 (or updated in the case of deviation from the guide travel route). And link information.

The purpose condition designation information 205 is information for designating a purpose condition (traveling purpose) input from the input device 26.
For example, the purpose condition designation information 205 is for the purpose condition such as energy saving priority, beginner / elderly driver, driver who is not good at narrow roads, infant / disease passenger, passenger who is easily drunk. It consists of information that specifies one of the objective conditions.

The route extraction processing unit 206 specifies link information (link information in which each section distance is corrected according to the travel purpose) corresponding to the specified target condition from the basic map data 202 according to the target condition specifying information 205. The route candidate data indicating the extracted travel route is extracted from the specified link information and node information (basic map data 202) by extracting the travel route connecting from the departure point designated by the destination section designation information 204 to the destination. 207 is generated.
For example, the route extraction processing unit 206 includes the node information as shown in FIG. 3 in the basic map data 202 and the link information (link information corresponding to the objective condition) as shown in any of FIGS. ) To search (extract) a plurality of travel routes from the departure point to the destination with priority on the distance.
At this time, since each section distance of the link information is appropriately corrected according to the purpose of travel, an appropriate travel route is searched.

  The route candidate data 207 is information indicating a travel route (a plurality of travel routes from the departure point to the destination) extracted by the route extraction processing unit 206. For example, the route candidate data 207 represents each traveling route by an array of node numbers and link numbers.

The route determination / display processing unit 208 determines one travel route from a plurality of travel routes indicated in the route candidate data 207, and displays the determined travel route as a guided travel route.
For example, the route determination / display processing unit 208 presents an outline of each travel route, and determines one travel route selected by the user as a guided travel route. When displaying the map image, the road corresponding to the determined guided travel route is painted with a specific color (color-coded), so that the user can identify the guided travel route on the map image.

The operation of the navigation system according to the first embodiment of the present invention will be described below with reference to the drawings.
First, the operation of the management server 1 will be described with reference to FIG. FIG. 10 is a flowchart for explaining data conversion processing executed by the management server 1.

  This process is executed by the CPU 11 after the target program stored in the storage device 12 (program storage area 12a) is read out to the RAM 13 (program execution area 13a), for example.

  First, the CPU 11 selects one object condition in the object-specific distance conversion weight data table (step S11). That is, the CPU 11 prioritizes energy saving, the driver is a beginner / elderly person, the driver is not good at a narrow road, the passenger is an infant / sick person, and the passenger in the weight data table for distance conversion by purpose shown in FIG. One objective condition is selected from among the constitutions that are likely to get drunk.

  The CPU 11 selects one link from the road network information (link information) stored in the storage device 12 (step S12). That is, one link of the link information (link information for which the section distance is not corrected) shown in FIG. 4 is selected.

  Furthermore, the CPU 11 selects one determination element in the purpose-specific distance conversion weight data table (step S13). In other words, in the distance conversion weight data table for each purpose shown in FIG. 5, the section distance, the degree of traffic congestion, the number of signals, the road width, the maximum curve curve, the number of lanes, the number of accidents per year, the maximum gradient, the average gradient, and road surface unevenness, etc. One decision element is selected from the list.

Then, the CPU 11 multiplies the selected determination element by the weight value in the selected target condition and the value of the determination element in the selected link (step S14).
For example, in the distance conversion weight data table for each purpose shown in FIG. 5, “distance distance” is selected as the determination element, “priority for energy saving” is designated as the objective condition, and in the link information shown in FIG. When “link 1” (link number) is selected, the CPU 11 multiplies “1” (section distance and energy saving priority) in FIG. 5 by “5.16” (section distance) in FIG. .

The CPU 11 refers to the distance proportional flag in the purpose-specific distance conversion weight data table to determine whether or not this determination element is proportional to the distance (step S15).
If the CPU 11 determines that the determination element is not proportional to the distance, the process proceeds to step S17 described later. On the other hand, when determining that the determination element is proportional to the distance, the CPU 11 further multiplies the distance (step S16).
For example, in the purpose-specific distance conversion weight data table shown in FIG. 5, “congestion degree” is selected as the determination element, “energy saving is given priority” is specified as the objective condition, and in the link information shown in FIG. When “link 1” (link number) is selected, the CPU 11 multiplies “0.04” (section distance and energy saving priority) in FIG. 5 and “2” (congestion degree) in FIG. In the state, “5.16” (section distance) is further multiplied.

  CPU11 adds a calculation result to the distance conversion value with respect to the selected link (step S17). The initial value of the distance conversion value corresponding to each link is set to “0”.

  The CPU 11 determines whether there are other determination elements (step S18). That is, the CPU 11 determines whether or not multiplication has been completed for all the determination elements.

If the CPU 11 determines that there are other determination elements, the CPU 11 returns the process to step S13 and repeatedly executes the processes of steps S13 to S18 described above.
On the other hand, when it is determined that there is no other determination element, the CPU 11 determines whether there is another link (step S19). That is, the CPU 11 determines whether or not the processing has been completed for all links in the link information.

When determining that there is another link, the CPU 11 returns the process to step S12 and repeatedly executes the processes of steps S12 to S19 described above.
On the other hand, when determining that there is no other link, the CPU 11 sets the distance conversion value corresponding to the section distance of each copied link after copying the uncorrected link information, and corresponds to the target condition. Link information is created (step S20).
For example, when energy saving is the target condition, after copying the uncorrected link information shown in FIG. 4, the CPU 11 corresponds to each distance converted value obtained this time as shown in FIG. Set to the section distance of the link to be created, and create link information corrected to the section distance for energy saving.

CPU11 discriminate | determines whether there exists other objective conditions (step S21). That is, the CPU 11 determines whether or not creation of link information (link information in which the section distance is corrected) corresponding to all the objective conditions is finished.
If the CPU 11 determines that there is another objective condition, the CPU 11 returns the process to step S11 and repeats the processes of steps S11 to S21 described above.

On the other hand, when determining that there is no other objective condition, the CPU 11 transmits road network information including the created link information to each in-vehicle terminal 2 (step S22).
For example, the communication device 17 transmits road network information including link information (link information as shown in FIGS. 6A to 6C described above) with the section distance corrected according to the traveling purpose, and the like. 9 to each in-vehicle terminal 2.
When distributing road network information or the like on a recording medium, the CPU 11 controls the disk drive 15 to record such road network information or the like on the disk d. Then, the road network information and the like recorded on the disk d are read by each in-vehicle terminal 2.

  As described above, the road network information (each section distance of the link information) is corrected according to various objective conditions by the data conversion process described above, and the corrected road network information and the like are supplied to each in-vehicle terminal 2. Is done.

  Next, the operation of the in-vehicle terminal 2 will be described with reference to FIG. FIG. 11 is a flowchart for explaining the navigation process executed by the in-vehicle terminal 2.

  This process is executed by the CPU 21 after the target program stored in the storage device 23 (program storage area 23a) is read out to the RAM 22 (program execution area 22a), for example. Note that road network information (link information in which each section distance is corrected) corrected according to various traveling purposes by the above-described data conversion processing is transmitted from the management server 1 or read from the disk d. It is assumed that the data is stored in the storage device 23 (data storage area 23b).

First, the CPU 21 acquires a target condition (traveling purpose) (step S31).
For example, the CPU 21 gives priority to energy saving to the display device 24, such as a driver who is a beginner / elderly driver, a driver who is not good at a narrow road, a passenger who is an infant / sick person, a passenger who is easily drunk, and the like. , And any objective condition selected by the user via the input device 26 is acquired.

Then, the CPU 21 specifies link information corresponding to the objective condition from the road network information stored in the storage device 23 (step S32). That is, CPU21 specifies the link information by which each section distance is correct | amended according to the designated objective condition (traveling purpose).
For example, when the target condition is “priority for energy saving”, the CPU 21 specifies the link information shown in FIG. 6A from the link information shown in FIGS.

CPU21 produces | generates the destination area designation | designated information which shows the node and link corresponding to each of the departure place and the destination (step S33).
For example, when the name of each place of the departure place and the destination and each position on the map are input from the input device 26 by the user's operation, the CPU 21 determines the departure place and the destination from the road network information stored in the storage device 23. The node and link corresponding to each of the grounds are searched to generate target section designation information.

The CPU 21 searches for the route candidate from the departure place to the destination from the road network information including the link information specified in step S32 using the generated destination section designation information (step S34).
For example, the CPU 21 gives priority to the distance from the departure point to the destination from the node information shown in FIG. 3 and the link information shown in FIG. 6A (when the destination condition is “priority for energy saving”). A plurality of driving routes are extracted.
At this time, since each section distance is appropriately corrected according to the purpose of travel, an appropriate travel route is searched.

The CPU 21 determines a guided travel route from the route candidates (step S35).
For example, the CPU 21 displays an outline of each searched travel route on the display device 24 and determines the travel route selected by the user via the input device 26 as the guided travel route.

The CPU 21 displays the determined guided travel route (step S36).
For example, when displaying a map image on the display device 24, the CPU 21 paints and displays a road indicating the determined guided travel route with a specific color (color-coded). And the own vehicle symbol which shows the present position of the own vehicle is synthesize | combined on the map image by which the guidance driving | running route was displayed color-coded.
That is, the user drives the vehicle along the guidance route while grasping the current position of the vehicle with the vehicle symbol on the map image. In addition, the CPU 21 appropriately displays an image or the like on the display device 24 in front of an intersection (node) where a right or left turn is required according to the guidance travel route, along the guidance travel route. User driving may be assisted.

In parallel with these, the CPU 21 determines whether or not the host vehicle deviates from the guided travel route (step S37).
For example, the CPU 21 compares the current position information obtained from the position sensor (GPS) of the sensor group 28 and the guide travel route (position information of nodes constituting the guide travel route) and It is determined whether or not the vehicle deviates from the guided travel route.

If the CPU 21 determines that the host vehicle deviates from the guided travel route, the CPU 21 updates the target section designation information in order to re-search the travel route (step S38).
For example, when the CPU 21 obtains the current position from the position sensor (GPS) of the sensor group 28 after the vehicle deviates from the guidance travel route, the CPU 21 obtains a node and a link corresponding to the departure place (current position) from the road network information. Search and update the target section designation information.
And CPU21 returns a process to step S34, and performs the process after step S34 mentioned above again. That is, the travel route is searched again using the link information corrected according to the travel purpose (link information in which each section distance is corrected). Then, the guidance travel route is determined and displayed.

On the other hand, when it is determined in step S37 that the own vehicle has not deviated from the guidance travel route, the CPU 21 determines whether or not the own vehicle has arrived at the destination (step S39).
For example, the CPU 21 compares the current position information obtained from the position sensor (GPS) of the sensor group 28 and the position information of the node corresponding to the destination of the destination section designation information, and the own vehicle is the target. It is determined whether or not it has arrived at the ground.

When determining that the destination has not arrived at the destination, the CPU 21 returns the process to step S36 and repeatedly executes the processes of steps S36 to S39 described above.
On the other hand, when it is determined that the destination has been reached, the CPU 21 ends the navigation process.

  As described above, the navigation processing described above makes it possible to search for an appropriate travel route in accordance with various objective conditions. In addition, since the road network information is corrected according to the target conditions, the target route can be searched without changing the existing route search logic.

  In the above embodiment, the case where the multipurpose route determination map data (link information determination data items shown in FIG. 4) is created in advance has been described. However, each vehicle (vehicle Va, Data obtained from Vb, etc.) may be aggregated to create (update) multipurpose route determination map data.

For example, when the in-vehicle terminal 2 (each in-vehicle terminal 2) obtains the inclination of the traveling road from the inclination sensor of the sensor group 28, the in-vehicle terminal 2 sequentially accumulates the corresponding roads. Then, the maximum gradient data (maximum value) and average gradient data (average value) in the link are specified based on the accumulated gradient.
Further, the in-vehicle terminal 2 obtains acceleration from the acceleration sensors of the sensor group 28 and sequentially accumulates them, and specifies unevenness level data on the traveling road surface based on the accumulated acceleration maximum value and average value.
Further, when the in-vehicle terminal 2 obtains measurement data from the gyro sensor and the vehicle speed sensor of the sensor group 28, the in-vehicle terminal 2 sequentially accumulates the measurement data, and based on the accumulated measurement data maximum value or the like, the maximum curve of the traveling road Identify curvature data.
And the vehicle-mounted terminal 2 transmits the various data obtained in this way to the management server 1 as driving | running | working data.
On the other hand, when the management server 1 obtains the travel data from the in-vehicle terminal 2 (each in-vehicle terminal 2), the management server 1 performs analysis and creates (updates) multipurpose route determination map data.

In addition, a fuel efficiency coefficient of the vehicle may be obtained from data such as fuel consumption measured by actual vehicle travel, and this fuel efficiency coefficient may be added to the multipurpose route determination map data as a new determination factor. .
A navigation system that can appropriately create (update) multipurpose route determination map data will be described below.

(Embodiment 2)
FIG. 12 is a block diagram for explaining a logical configuration (functional configuration) of a navigation system applied to the second embodiment of the present invention.
In this navigation system, for example, the in-vehicle terminal 2 transmits travel data including a fuel consumption coefficient to the management server 1, and the management server 1 creates (updates) multipurpose route determination map data including the fuel consumption coefficient as a determination element. It is characterized by doing.

First, the in-vehicle terminal 2 will be described. As illustrated, the in-vehicle terminal 2 includes basic map data 221, a current position determination processing unit 222, a current state determination processing unit 223, a travel data creation / transmission processing unit 224, and travel data 225. The
The physical configuration of the in-vehicle terminal 2 is the same as that of the first embodiment (FIG. 8) described above. Then, the current position determination processing unit 222, the current state determination processing unit 223, and the travel data creation / transmission processing unit 224 in FIG.

  The basic map data 221 includes, for example, the node information shown in FIG. 3 and the link information shown in FIG.

  The current position determination processing unit 222 determines (identifies) a link or the like corresponding to the current position from the basic map data 221 based on current position information obtained from a position sensor (GPS) or the like of the sensor group 28.

The current state determination processing unit 223 determines (specifies) the state of the currently traveling road according to data obtained from various sensors of the sensor group 28.
For example, when the current state determination processing unit 223 obtains the fuel consumption amount of the travel path from the fuel consumption meter of the sensor group 28, the current state determination processing unit 223 sequentially stores the fuel consumption amount corresponding to the link. And the fuel consumption coefficient in a link is specified based on the accumulated fuel consumption.

The travel data creation / transmission processing unit 224 creates travel data 225 by aggregating the fuel coefficients specified by the current state determination processing unit 223. For example, the travel data 225 including the fuel consumption coefficient corresponding to each link is created.
The travel data creation / transmission processing unit 224 transmits the travel data 225 to the management server 1 at a predetermined timing. For example, the traveling data creation / transmission processing unit 224 periodically accesses the management server 1 and transmits unexecuted traveling data 225 to the management server 1 at that time.

  The travel data 225 includes, for example, a fuel efficiency coefficient corresponding to each link.

Next, the management server 1 will be described. As shown in the figure, the management server 1 includes travel data 111, a data analysis / aggregation processing unit 112, and multipurpose route determination map data 113.
The physical configuration of the management server 1 is the same as that of the first embodiment (FIG. 2) described above. The data analysis / aggregation processing unit 112 in FIG. 12 is physically the processing content of the CPU 11.

  The travel data 111 is data transmitted from the in-vehicle terminal 2 and includes, for example, a fuel consumption coefficient corresponding to each link.

The data analysis / aggregation processing unit 112 analyzes / aggregates the travel data 111 and creates (updates) the multipurpose route determination map data 113.
For example, the data analysis / aggregation processing unit 112 analyzes the fuel efficiency coefficient corresponding to each link and creates the multipurpose route determination map data 113 including the fuel efficiency coefficient as a determination element.
That is, the data analysis / aggregation processing unit 112 sets a value for each fuel coefficient in the link information as shown in FIG. 13 based on the analyzed fuel efficiency coefficient. Each fuel coefficient in the link information is set to “0” as an initial value and is updated as appropriate.

The multipurpose route determination map data 113 includes the link information shown in FIG. 13 and the like created (updated) by the data analysis / aggregation processing unit 112.
In addition, the management server 1 uses the fuel coefficient as shown in FIG. 14 in correspondence with the link information shown in FIG. 13, and prioritizes energy saving (with fuel coefficient). A weight data table is also stored.
It is.

  The operation of the navigation system according to the second embodiment of the present invention will be described below with reference to FIGS. FIG. 15 is a flowchart for explaining the travel data creation / transmission process performed by the in-vehicle terminal 2. FIG. 16 is a flowchart for explaining data analysis / aggregation processing performed by the management server 1.

  First, the travel data creation / transmission process performed by the in-vehicle terminal 2 will be described with reference to FIG. This process is executed by the CPU 21 after the target program stored in the storage device 23 (program storage area 23a) is read out to the RAM 22 (program execution area 22a), for example.

First, the CPU 21 specifies a link corresponding to the current position (step S41).
For example, the CPU 21 specifies a link corresponding to the current position from the link information shown in FIG. 4 according to the current position information obtained from the position sensor (GPS) of the sensor group 28 or the like.

  The CPU 21 determines whether or not there has been a link movement (step S42). That is, it is determined whether or not movement across the link has occurred as the vehicle equipped with the in-vehicle terminal 2 travels.

When determining that there is no movement, the CPU 21 accumulates fuel consumption data acquired from the sensor group 28 at regular intervals in association with the current link (step S43). That is, the fuel consumption acquired from the fuel consumption meter of the sensor group 28 is sequentially accumulated in association with the link corresponding to the current position.
Then, after accumulating the fuel consumption data, the CPU 21 returns the process to step S41 described above.

  On the other hand, if it is determined in step S42 that the movement has occurred, the CPU 21 calculates the fuel consumption rate (fuel consumption) based on the section distance of the link before the movement and the measured fuel consumption, and the link And stored in association with each other (step S44).

  The CPU 21 determines whether or not data is sufficiently stored (step S45). That is, it is determined whether or not a fuel consumption rate sufficient to calculate the fuel coefficient is stored.

When determining that the data is not sufficient, the CPU 21 returns the process to step S41 and repeatedly executes the processes of steps S41 to S45 described above.
On the other hand, when it is determined that the data is sufficient, the CPU 21 averages the fuel consumption (fuel consumption rate) obtained from the plurality of links (step S46). That is, the average fuel consumption (average fuel consumption rate) specific to the vehicle is obtained.

And CPU21 calculates the fuel consumption coefficient of each link, and transmits to the management server 1 as driving | running | working data (step S47).
For example, for each link, the CPU 21 calculates the fuel efficiency coefficient by dividing the fuel efficiency of the link by the average fuel efficiency and subtracting 1 from the division result. Then, travel data including a fuel consumption coefficient corresponding to each link is created and transmitted to the management server 1.
In this way, travel data (fuel coefficient corresponding to each link) created by the in-vehicle terminal 2 is transmitted to the management server 2.

  Next, a data analysis / aggregation process performed by the management server 1 will be described with reference to FIG. This process is executed by the CPU 11 after the target program stored in the storage device 12 (program storage area 12a) is read out to the RAM 13 (program execution area 13a), for example.

First, the CPU 11 waits for execution of subsequent processing until it receives travel data sent from the in-vehicle terminal 2 (step S51).
That is, it waits until it receives the travel data sent by the travel data creation / transmission process described above.

When the travel data is received, the CPU 11 creates (updates) multipurpose route determination map data based on the received travel data (step S52).
That is, the CPU 11 sets a value for each of the fuel coefficients in the link information shown in FIG. 13 described above based on the fuel efficiency coefficient included in the travel data. If a value has already been set, it is updated as appropriate.

The CPU 11 determines whether or not a predetermined regular delivery timing (time) has arrived (step S53).
When determining that it is not the regular distribution timing, the CPU 11 returns the process to step S51 and repeatedly executes the processes of steps S51 to S53 described above.

On the other hand, when it is determined that it is the periodical distribution timing, the CPU 11 executes a data conversion process (step S54).
That is, the CPU 11 executes the data conversion process shown in FIG. At that time, the CPU 11 converts each section distance of the link information shown in FIG. 13 by using the purpose-specific distance conversion weight data table shown in FIG. Specifically, the section distance of each link is corrected according to the target condition, for example, by multiplying the determination element including the fuel coefficient shown in FIG. 13 by weight data including the fuel coefficient shown in FIG.
Then, the CPU 11 transmits road network information including link information corrected according to the target condition to each in-vehicle terminal 2.

  Thus, after receiving the transmitted road network information, the in-vehicle terminal 2 can search for an appropriate travel route according to various objective conditions by performing the above-described navigation processing.

In the above-described embodiment, in order to facilitate understanding of the invention, the management server 1 determines that each in-vehicle terminal 2 searches for a travel route with the shortest distance, according to the travel purpose (travel conditions). The case where the section distance of the node is corrected (converted) has been described.
However, the present invention can be applied as appropriate even when the in-vehicle terminal 2 searches for a travel route with the shortest time.
For example, in the link information shown in FIG. 4 etc., the section required time is set as a basic data item, and the purpose-specific distance conversion weight data table shown in FIG. An appropriate weight value corresponding to the condition is set.
And the management server 1 performs the data conversion process mentioned above similarly, and correct | amends (converts) each section required time of link information according to driving | running | working objectives (driving conditions). Then, the road network information including the corrected link information is transmitted to each in-vehicle terminal 2.

On the other hand, the in-vehicle terminal 2 executes the above-described navigation process, and uses the road network information including link information in which the time required for each section is corrected according to the traveling purpose, and the required time from the departure place to the destination. The travel route of the combination of the link and the node that takes the shortest time is searched. Then, the user is appropriately guided to the destination along the travel route (guidance travel route) selected by the user.
Also in this case, an appropriate travel route can be searched according to various objective conditions.

In the above embodiment, the in-vehicle terminal 2 mounted on the vehicle has been described as an example. However, the terminal that performs the navigation process is not limited to the in-vehicle terminal and is arbitrary. For example, the portable terminal etc. which a pedestrian etc. carry may be sufficient.
The object to which the user moves is not limited to the road network, and can be applied to various traffic networks (networks such as railways and airplanes) as appropriate.

  Note that the navigation system according to the embodiment of the present invention can be realized by using a normal computer system regardless of the dedicated device. For example, a navigation system that executes the above-described processing can be configured by installing the program from a medium (a flexible disk, a CD-ROM, or the like) that stores a program for executing any of the above-described programs in a computer. .

A method for supplying the program to the computer is arbitrary. For example, you may supply via a communication line, a communication network, a communication system, etc. As an example, the program is posted on a bulletin board (BBS) of a communication network, and the program is superimposed on a carrier wave and distributed via the network.
Then, the above-described processing can be executed by starting this program and executing it in the same manner as other application programs under the control of the OS.

  As described above, according to the present invention, an appropriate travel route can be searched according to various objective conditions.

  DESCRIPTION OF SYMBOLS 1 ... Management server, 2 ... In-vehicle terminal, 9 ... Wireless communication network, 11 ... CPU, 12 ... Storage device, 13 ... RAM, 14 ... Display device, 15 * ..Disk drive, 16 ... input device, 17 ... communication device, 21 ... CPU, 22 ... RAM, 23 ... storage device, 24 ... display device, 25 ... communication Device, 26 ... Input device, 27 ... Disk drive, 28 ... Sensor group, d ... Disk

Claims (14)

A navigation device that performs a route search based on a plurality of decision element items related to a traffic network,
Setting means for setting the characteristics of the driver or passenger;
Determining means for determining a weight value corresponding to the characteristic set by the setting means;
Search means for performing a route search based on the determination element item weighted by the weight value determined by the determination means;
With
The determination means increases the weight value for the determination element item indicating road surface unevenness when the characteristic of the passenger is set by the setting means than when the characteristic of the driver is set. Navigation device. A navigation device that performs a route search based on a plurality of decision element items related to a traffic network,
Setting means for setting the characteristics of the driver or passenger;
Determining means for determining a weight value corresponding to the characteristic set by the setting means;
Search means for performing a route search based on the determination element item weighted by the weight value determined by the determination means;
With
The determining means increases the weight value for the determination element item indicating the number of accidents in the past when the characteristic of the driver is set by the setting means than when the characteristic of the passenger is set. navigation device that. The navigation device according to claim 1 , wherein the setting unit can further set one of the characteristics of the occupant among an infant, a sick person, and a constitution that tends to cause sickness. Said setting means further as a characteristic of the driver, beginner, elderly, making it possible set one of the characteristics of the human weak narrow road to any one of claims 1 to 3, characterized in The navigation device described. A traffic network information storage unit configured to include a plurality of nodes and links defining a traffic network, and to store traffic network information in which a predetermined determination element item is set for each link;
Weight information storage means for storing a weight value for each determination element item of the traffic network information corresponding to each of a plurality of characteristics that can be set by the setting means;
Correction means for correcting at least the section distance of each link according to the weight value of the weight information storage means corresponding to the characteristic set by the setting means and each determination element item of the traffic network information,
The navigation according to any one of claims 1 to 4 , wherein the search means searches for a travel route that shortens the overall travel distance based on the section distance of each link corrected by the correction means. apparatus. A navigation device that performs a route search based on a plurality of decision element items related to a traffic network,
A traffic network information storage unit configured to include a plurality of nodes and links defining a traffic network, and to store traffic network information in which a predetermined determination element item is set for each link;
Setting means for setting the characteristics of the driver or passenger;
Weight information storage means for storing a weight value for each determination element item of the traffic network information corresponding to each of a plurality of characteristics that can be set by the setting means;
Determining means for determining a weight value corresponding to the characteristic set by the setting means based on the weight value stored in the weight information storage means ;
Search means for performing a route search based on the determination element item weighted by the weight value determined by the determination means ;
Correction means for correcting at least the section distance of each link in accordance with the weight value of the weight information storage means corresponding to the characteristic set by the setting means and each determination element item of the traffic network information ,
The search means searches for a travel route in which the overall travel distance becomes shorter based on the section distance of each link corrected by the correction means,
The determination element item includes a determination element item regarding a road characteristic that affects the ease of driving of the driver, and a determination element item regarding a road characteristic that affects the comfort of the passenger,
The weight information storage means, for a determination element item that has a greater degree of influence on the ease of driving of the driver than the comfort of the passenger, the driver characteristics than the weight value corresponding to the characteristics of the passenger A navigation device characterized in that a weight value corresponding to is stored in a value having a larger absolute value. The road width is included as a judgment element item regarding the characteristics of the road that affects the ease of driving of the driver,
The weight information storage means stores, as the weight value corresponding to the road width, the weight value corresponding to the passenger characteristic that is smaller in absolute value than the weight value corresponding to the driver characteristic. The navigation apparatus according to claim 6, wherein Including unevenness of the road surface as a determination element item regarding the characteristics of the road that affects the comfort of the passenger,
The weight information storage means stores a weight value corresponding to a passenger characteristic larger than a weight value corresponding to a driver characteristic as a weight value corresponding to the unevenness of the road surface. The navigation apparatus according to claim 6 . In addition to the characteristics of the driver and the characteristics of the passenger, the setting means can further set energy saving priority.
The navigation according to any one of claims 1 to 8 , wherein the determination means determines a driver characteristic, a passenger characteristic, or a weight value corresponding to energy saving priority set by the setting means. apparatus. A measuring means for measuring predetermined measurement data accompanying movement;
Transmission means for transmitting the measurement data measured by the measurement means to the server in correspondence with the link in the traffic network information that was running at the time of measurement,
Receiving means for receiving data obtained as a result of aggregating the measurement data on the server side;
The navigation apparatus according to claim 5 , further comprising an updating unit that updates the traffic network information with data received by the receiving unit. Having at least one of a tilt sensor, an acceleration sensor, a gyro sensor, and a vehicle speed sensor,
An acquisition means for acquiring at least one data of a road gradient, road surface unevenness, and curvature of a road while traveling based on data obtained from the sensor;
The navigation device according to claim 5 , further comprising an update unit that updates the traffic network information with the data acquired by the acquisition unit. A computer of a navigation device that performs a route search based on a plurality of determination element items related to a traffic network,
Setting means for setting the characteristics of the driver or passenger;
Determining means for determining a weight value corresponding to the characteristic set by the setting means;
A program for functioning as a search means for performing a route search based on a determination element item weighted by a weight value determined by the determination means ,
The determination means increases the weight value for the determination element item indicating road surface unevenness when the characteristic of the passenger is set by the setting means than when the characteristic of the driver is set. program. A computer of a navigation device that performs a route search based on a plurality of determination element items related to a traffic network,
Setting means for setting the characteristics of the driver or passenger;
Determining means for determining a weight value corresponding to the characteristic set by the setting means;
Search means for performing a route search based on the determination element item weighted by the weight value determined by the determination means;
A program to make it function,
The determining means increases the weight value for the determination element item indicating the number of accidents in the past when the characteristic of the driver is set by the setting means than when the characteristic of the passenger is set. Program to do. A computer of a navigation device that performs a route search based on a plurality of determination element items related to a traffic network,
A traffic network information storage unit configured to include a plurality of nodes and links defining a traffic network, and to store traffic network information in which a predetermined determination element item is set for each link;
Setting means for setting the characteristics of the driver or passenger;
Weight information storage means for storing a weight value for each determination element item of the traffic network information corresponding to each of a plurality of characteristics that can be set by the setting means;
Determining means for determining a weight value corresponding to the characteristic set by the setting means based on the weight value stored in the weight information storage means ;
Search means for performing a route search based on the determination element item weighted by the weight value determined by the determination means ;
Weight value of the weight information storage means corresponding to the set property by the setting means and in accordance with the determined element item of the transportation network information, to function as a correction means for correcting at least section distance of each link A program,
The search means searches for a travel route in which the overall travel distance becomes shorter based on the section distance of each link corrected by the correction means,
The determination element item includes a determination element item regarding a road characteristic that affects the ease of driving of the driver, and a determination element item regarding a road characteristic that affects the comfort of the passenger,
The weight information storage means, for a determination element item that has a greater degree of influence on the ease of driving of the driver than the comfort of the passenger, the driver characteristics than the weight value corresponding to the characteristics of the passenger The program stores a value having a larger absolute value for the weight value corresponding to.

Images