JP2022001870A - Route processing program, route processing apparatus, and route processing method - Google Patents

Abstract

To provide a route processing program, a route processing apparatus, and a route processing method that can provide information for calculating a route more useful for a driver.SOLUTION: A route processing program used in a route processing apparatus is a program for causing a computer to function as an acquisition part that acquires object information indicating a starting point and a destination for a vehicle; a calculation part that calculates a route characteristic of a driver on the basis of the object information acquired by the acquisition part and travel history of the driver's vehicle; and a determination part that determines a policy for the calculation of a route for the vehicle on the basis of the route characteristic calculated by the calculation part.SELECTED DRAWING: Figure 3

Description

The present invention relates to a route processing program, a route processing apparatus, and a route processing method.

Conventionally, various systems have been developed that distribute guidance information, recommended information, and the like to users. As an example of such a system, for example, Japanese Patent Application Laid-Open No. 2011-100182 (Patent Document 1) discloses the following recommended information distribution system. That is, it is a recommendation information distribution system that distributes recommendation information in the area where the user is located to a user who carries the mobile terminal, and the mobile terminal previously obtains the current location information of the user who carries the mobile terminal. It is periodically acquired at a predetermined cycle and stored in the position information storage device as a time-series position information history, and based on the past position information history stored in the position information storage device, the user An action pattern creation module that analyzes an action pattern indicating an action and transmits the analyzed action pattern and the current position information to a recommendation information providing server that distributes the recommendation information, and is distributed from the recommendation information providing server. The recommendation information providing server includes an output means for outputting the recommended information and presenting the recommendation information to the user, and the recommendation information providing server is based on the action pattern and the current location information transmitted from the mobile terminal to the user. Estimates the moving area that is likely to move, and from the recommendation information that is held in advance as the recommendation information in the area where the user is currently located, at least the recommendation that should be provided to the user regarding the estimated moving area. It includes a recommendation module that selects information and distributes it to the mobile terminal carried by the user.

Japanese Unexamined Patent Publication No. 2011-100182

Yuki Aoki, 3 outsiders, "Development of application for smartphones that estimates the degree of fatigue from E-037 voice", 12th Information Science and Technology Forum, September 2013, Volume 2, P.M. 269 Shunji Mitsuyoshi, 2 outsiders, "Application to stress using voice emotion recognition technology ST", Journal of the Japan Fatigue Society, March 2011, Volume 6, Issue 2, P.M. 19-27

Beyond the technique described in Patent Document 1, there is a demand for a technique for calculating a more useful route for the driver.

The present invention has been made to solve the above-mentioned problems, and an object thereof is a route processing program, a route processing device, and a route capable of providing information for calculating a route more useful to the driver. It is to provide a processing method.

(1) In order to solve the above problems, the route processing program according to a certain aspect of the present invention is a route processing program used in the route processing apparatus, and the computer is used as a target information indicating the departure point and the destination of the vehicle. Calculated by the calculation unit and the calculation unit that calculates the route characteristics of the driver based on the acquisition unit that acquires the image, the target information acquired by the acquisition unit, and the travel history of the driver of the vehicle. It is a program for functioning as a determination unit for determining a policy in the route calculation of the vehicle based on the route characteristics.

(5) In order to solve the above problems, the route processing device according to a certain aspect of the present invention has an acquisition unit for acquiring target information indicating the departure point and destination of the vehicle, and the object acquired by the acquisition unit. A calculation unit that calculates the route characteristics of the driver based on the information and the travel history of the driver of the vehicle, and a policy in the route calculation of the vehicle based on the route characteristics calculated by the calculation unit. It has a decision unit to decide.

(6) In order to solve the above problems, the route processing method according to a certain aspect of the present invention is the route processing method in the route processing apparatus, and includes a step of acquiring target information indicating the departure point and the destination of the vehicle. , The step of calculating the route characteristic of the driver based on the acquired target information and the travel history of the driver of the vehicle, and the policy in the route calculation of the vehicle are determined based on the calculated route characteristic. Including steps to do.

The present invention can be realized not only as a route processing device provided with such a characteristic processing unit, but also as a route processing system provided with the route processing device. Further, the present invention can be realized as a semiconductor integrated circuit that realizes a part or all of the route processing device.

According to the present invention, it is possible to provide information for calculating a more useful route for the driver.

FIG. 1 is a diagram showing a configuration of a route processing system according to a first embodiment of the present invention. FIG. 2 is a diagram showing an example of route determination parameter information created by a wireless terminal device in the route processing system according to the first embodiment of the present invention. FIG. 3 is a diagram showing a configuration of a route processing device in the route processing system according to the first embodiment of the present invention. FIG. 4 is a diagram showing an example of a route policy used in the route processing apparatus according to the first embodiment of the present invention. FIG. 5 is a diagram showing an example of a raw travel history table held by a storage unit in the route processing device according to the first embodiment of the present invention. FIG. 6 is a diagram showing an example of a travel history table held by a storage unit in the route processing device according to the first embodiment of the present invention. FIG. 7 is a diagram showing an example of a driver preference table held by a storage unit in the route processing device according to the first embodiment of the present invention. FIG. 8 is a diagram showing an example of a route policy determination table held by a storage unit in the route processing device according to the first embodiment of the present invention. FIG. 9 is a diagram showing an example of recommended route determination parameter information determined by a determination unit in the route processing apparatus according to the first embodiment of the present invention. FIG. 10 is a diagram showing an example of recommended route determination parameter information determined by a determination unit in the route processing apparatus according to the first embodiment of the present invention. FIG. 11 is a diagram showing an example of each link processed by the route calculation unit in the route processing device according to the first embodiment of the present invention. FIG. 12 is a diagram showing an example of the operation of each device in the route processing system according to the first embodiment of the present invention. FIG. 13 is a diagram showing an example of the operation of each device in the route processing system according to the first embodiment of the present invention. FIG. 14 is a diagram showing an example of the operation of each device in the route processing system according to the first embodiment of the present invention. FIG. 15 is a diagram showing an example of the operation of each device in the route processing system according to the first embodiment of the present invention. FIG. 16 is a flowchart defining an operation procedure when the route processing device in the route processing system according to the first embodiment of the present invention processes probe information from a vehicle. FIG. 17 is a flowchart defining an operation procedure when the route processing device in the route processing system according to the first embodiment of the present invention performs a navigation information creation process. FIG. 18 is a diagram showing a configuration of a route processing system according to a second embodiment of the present invention. FIG. 19 is a diagram showing an example of route determination parameter information created by a wireless terminal device in the route processing system according to the second embodiment of the present invention. FIG. 20 is a diagram for explaining an outline of language analysis processing performed in the voice content analysis server in the route processing system according to the second embodiment of the present invention. FIG. 21 is a diagram for explaining an outline of fatigue degree estimation processing performed in a voice data analysis server in the route processing system according to the second embodiment of the present invention. FIG. 22 is a diagram showing a configuration of a route processing device in the route processing system according to the second embodiment of the present invention. FIG. 23 is a diagram showing an example of driver tendency parameter information created by the calculation unit in the route processing device according to the second embodiment of the present invention. FIG. 24 is a diagram showing an example of an utterance content inclination coefficient table held by a storage unit in the route processing device according to the second embodiment of the present invention. FIG. 25 is a diagram showing an example of an utterance content inclination coefficient table held by a storage unit in the route processing device according to the second embodiment of the present invention. FIG. 26 is a diagram showing an example of a state emotion gradient coefficient table held by a storage unit in the route processing device according to the second embodiment of the present invention. FIG. 27 is a diagram showing an example of a state emotion gradient coefficient table held by a storage unit in the route processing device according to the second embodiment of the present invention. FIG. 28 is a diagram showing an example of intention reflection parameter information created by a determination unit in the route processing device according to the second embodiment of the present invention. FIG. 29 is a diagram showing an example of intention reflection parameter information created by a determination unit in the route processing device according to the second embodiment of the present invention. FIG. 30 is a diagram showing an example of state emotion reflection parameter information created by a determination unit in the route processing device according to the second embodiment of the present invention. FIG. 31 is a flowchart defining an operation procedure when the route processing device in the route processing system according to the second embodiment of the present invention performs a navigation information creation process.

First, the contents of the embodiments of the present invention will be listed and described.

(1) The route processing program according to the embodiment of the present invention is a route processing program used in the route processing apparatus, and includes a computer, an acquisition unit for acquiring target information indicating the departure point and the destination of the vehicle, and an acquisition unit. Based on the calculation unit that calculates the route characteristics of the driver based on the target information acquired by the acquisition unit and the travel history of the driver of the vehicle, and the route characteristics calculated by the calculation unit. , A program for functioning as a decision-making unit for determining a policy in the route calculation of the vehicle.

With such a configuration, it is possible to determine a policy suitable for the driver based on the route characteristics reflecting the driver's past intentions, past trends, past unique characteristics, and the like. Thereby, for example, by following the determined policy, it is possible to calculate a route useful for the driver. Therefore, it is possible to provide information for calculating a more useful route for the driver.

(2) Preferably, the route characteristic includes at least one of a road type, a traveling environment, a preference, and a daily habit.

With such a configuration, it is possible to more accurately reflect the driver's past intentions, past trends, past unique characteristics, and the like in the route characteristics.

(3) Preferably, the acquisition unit calculates the destination based on the route characteristics calculated by the calculation unit.

With such a configuration, for example, the destination can be automatically calculated based on the driver's past tendency of route selection, so that the burden on the driver to input the destination can be reduced.

(4) Preferably, the route processing device further includes a route calculation unit for determining a recommended route, and the route calculation unit uses weights of a size corresponding to the content of the policy to obtain a plurality of candidate routes. At least one of a process of calculating an evaluation value and determining the recommended route based on each of the calculated evaluation values and a process of determining the recommended route including a waypoint based on the route characteristics are performed.

With such a configuration, for example, when the parameter indicating the characteristic of the candidate route is set corresponding to the policy, the operation is performed by calculating the evaluation value indicating the degree of matching between the characteristic of the candidate route and the policy. It is possible to determine a recommended route that suits a person's past intentions, past trends, past unique characteristics, and the like. Further, for example, it is possible to provide a recommended route including a waypoint that matches the driver's preference by a configuration for determining a recommended route including a waypoint based on a route characteristic indicating a preference or the like.

(5) The route processing device according to the embodiment of the present invention has an acquisition unit that acquires target information indicating the departure point and destination of the vehicle, the target information acquired by the acquisition unit, and operation of the vehicle. It includes a calculation unit that calculates the route characteristics of the driver based on the driving history of the person, and a determination unit that determines a policy in the route calculation of the vehicle based on the route characteristics calculated by the calculation unit. ..

With such a configuration, it is possible to determine a policy suitable for the driver based on the route characteristics reflecting the driver's past intentions, past trends, past unique characteristics, and the like. Thereby, for example, by following the determined policy, it is possible to calculate a route useful for the driver. Therefore, it is possible to provide information for calculating a more useful route for the driver.

(6) The route processing method according to the embodiment of the present invention is a route processing method in a route processing apparatus, in which a step of acquiring target information indicating a departure point and a destination of a vehicle, and the acquired target information. The step includes a step of calculating the route characteristic of the driver based on the travel history of the driver of the vehicle, and a step of determining a policy in the route calculation of the vehicle based on the calculated route characteristic.

With such a configuration, it is possible to determine a policy suitable for the driver based on the route characteristics reflecting the driver's past intentions, past trends, past unique characteristics, and the like. Thereby, for example, by following the determined policy, it is possible to calculate a route useful for the driver. Therefore, it is possible to provide information for calculating a more useful route for the driver.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. The same or corresponding parts in the drawings are designated by the same reference numerals and the description thereof will not be repeated. In addition, at least a part of the embodiments described below may be arbitrarily combined.

<First Embodiment>
[Configuration and basic operation]
FIG. 1 is a diagram showing a configuration of a route processing system according to a first embodiment of the present invention.

With reference to FIG. 1, the route processing system 301 includes a route processing device 101 and a wireless terminal device 151.

The wireless terminal device 151 is, for example, a car navigation device provided in the vehicle 1, a smart phone carried by the driver of the vehicle 1, or the like. Vehicle 1 is, for example, a passenger car, a bus or a truck.

The wireless terminal device 151 can acquire the position of its own vehicle 1 based on radio waves from, for example, a GPS (Global Positioning System) satellite.

For example, in a situation where a driver intends to drive a vehicle 1 from a certain departure point to a destination, when the driver intends to receive a navigation service, an operation for inputting the destination is performed on the wireless terminal device 151. conduct.

The wireless terminal device 151 acquires the destination of the vehicle 1 based on, for example, an input operation to the driver himself / herself. Further, the wireless terminal device 151 identifies the departure place of the vehicle 1 based on, for example, a radio wave from a GPS satellite.

The wireless terminal device 151 creates target information indicating the specified starting point and the acquired destination.

FIG. 2 is a diagram showing an example of route determination parameter information created by a wireless terminal device in the route processing system according to the first embodiment of the present invention.

With reference to FIG. 2, the wireless terminal device 151 is capable of linguistically analyzing the driver's voice, for example, and based on the analysis results, the driver's current intentions, current trends and current peculiarities. The route determination parameter information Pr1 indicating at least one of the characteristics is created.

The parameter information Pr1 for route determination includes, for example, the driver ID, "speed priority", "cheap priority", "eco priority", "easy-to-understand priority", "ride comfort priority", "safety priority" and "traffic jam". Includes priority parameters corresponding to each item of "feeling relaxation priority". Here, the driver ID is, for example, the ID of the wireless terminal device 151.

More specifically, the wireless terminal device 151 acquires the content of the voice by, for example, analyzing the voice of the driver, and calculates the degree of correlation between the acquired content and each item.

Then, the wireless terminal device 151 determines each priority parameter based on the calculated degree of correlation and so that the total of each priority parameter is 10.

Specifically, for example, when the driver voice-inputs to the wireless terminal device 151 "I am worried about an accident because I am tired", the wireless terminal device 151 has a "ride" that correlates with the content of the driver's voice. For items such as "comfort priority" and "safety priority", each priority parameter is determined so that the priority parameters corresponding to the items are large and the total is 10.

The wireless terminal device 151 wirelessly transmits a navigation request including the route determination parameter information Pr1 and the purpose information to the route processing device 101.

Further, the wireless terminal device 151 periodically creates probe information indicating the acquired position, own ID, and current time when the vehicle 1 is traveling, and wirelessly transmits the created probe information to the route processing device 101. do.

When the driver drives the vehicle 1 from the departure point to the destination without receiving the navigation service, the driver does not perform an operation for inputting the destination on the wireless terminal device 151. In this case, the wireless terminal device 151 does not create a navigation request, but periodically wirelessly transmits probe information to the route processing device 101.

[Configuration of route processing device]
FIG. 3 is a diagram showing a configuration of a route processing device in the route processing system according to the first embodiment of the present invention.

With reference to FIG. 3, the route processing device 101 includes an acquisition unit 31, a calculation unit 32, a route calculation unit 33, a determination unit 34, a storage unit 35, a transmission unit 36, and a history registration unit 37. Be prepared.

The storage unit 35 holds the map data. The map data includes road type, road width, POI (Point Of Interest), POI attributes, links, cost information, and the like. The cost information will be described later.

The acquisition unit 31 acquires the target information. More specifically, when the acquisition unit 31 receives the navigation request including the target information from the wireless terminal device 151, the acquisition unit 31 outputs the received navigation request to the determination unit 34 and the history registration unit 37.

Further, when the acquisition unit 31 receives the probe information from the wireless terminal device 151, the acquisition unit 31 outputs the received probe information to the history registration unit 37.

FIG. 4 is a diagram showing an example of a route policy used in the route processing apparatus according to the first embodiment of the present invention.

With reference to FIG. 4, the "route policy" includes "default route", "fastest route", "cheapest route", "eco route", "easy-to-understand priority route", "ride comfort priority route", and "ride comfort priority route". Includes "safety priority route" and "congestion feeling mitigation route".

The "content" of each "route policy" is used, for example, as a guideline for creating a proposed route calculated by the route calculation unit 33 based on the "main parameters affecting the route determination".

FIG. 5 is a diagram showing an example of a raw travel history table held by a storage unit in the route processing device according to the first embodiment of the present invention.

With reference to FIG. 5, in the raw travel history table Tbl1, the items of the traveled "date and time", "departure place", "destination", "selection route policy", "proposal route" and "actual driving route" are displayed. Information about is included for each "driver ID".

For example, each time the history registration unit 37 receives a navigation request from the acquisition unit 31, the history registration unit 37 has a "driver ID", a "date and time", a "departure place", a "destination", and a "destination" based on the navigation request and the corresponding probe information. Information about the items of "selected route policy", "proposal route", and "actual driving route" is registered in the raw driving history table Tbl1.

More specifically, the history registration unit 37 sets the driver ID, the departure place, and the destination included in the navigation request into the items of "driver ID", "departure place", and "destination" in the raw travel history table Tbl1. Write in the corresponding fields.

Further, the history registration unit 37 calculates the route and the date and time when the wireless terminal device 151 has moved based on the corresponding probe information, and the calculated route and the date and time are used as the "actual travel route" in the raw travel history table Tbl1. Write in the fields corresponding to the "Date and time" items.

Further, the history registration unit 37 writes the route policy determined by the determination unit 34 in the column corresponding to the item of the "selected route policy".

Further, the history registration unit 37 writes the recommended route calculated by the route calculation unit 33 in the column corresponding to the item of the “proposal route”.

Further, for example, when the driver drives the vehicle 1 from the departure place to the destination without receiving the navigation service, the history registration unit 37 does not receive the navigation request from the acquisition unit 31, but receives the probe information. In this case, the determination unit 34 does not determine the route policy. Further, the route calculation unit 33 does not calculate the proposed route.

In such a case, the history registration unit 37 processes information about the items of "driver ID", "date and time", "departure place", "destination", and "actual driving route" based on the probe information. Register in the history table Tbl1. Further, the history registration unit 37 writes “−” in the fields corresponding to the items of “selected route policy” and “proposal route”, respectively.

FIG. 6 is a diagram showing an example of a travel history table held by a storage unit in the route processing device according to the first embodiment of the present invention.

With reference to FIG. 6, the calculation unit 32 calculates the route characteristics of the driver based on the target information acquired by the acquisition unit 31 and the driving history of the driver of the vehicle 1.

Specifically, the calculation unit 32 creates, for example, the travel history table Tbl2, which is an example of the route characteristic, based on the raw travel history table Tbl1 held by the storage unit 35 and the map data. Here, the travel history table Tbl2 includes, for example, a road type, a travel environment, preferences, and daily habits.

More specifically, the calculation unit 32 monitors, for example, the raw travel history table Tbl1 in the storage unit 35, and when new information is registered in the raw travel history table Tbl1, analyzes the registered new information. Then, the analysis result is written in the travel history table Tbl2.

Specifically, the calculation unit 32 is, for example, the "driver ID", "date and time", "selected route policy", "departure point", "destination", "proposal route" and "actual driving" in the travel history table Tbl2. In the column corresponding to each item of "Route", the contents of the corresponding column in the raw travel history table Tbl1 are copied.

The calculation unit 32 attempts to identify one or more waypoints based on the actual travel route and map data. This stopover is, for example, POI. When the waypoint can be specified, the calculation unit 32 writes the specified waypoint in the column corresponding to the item such as "waypoint 1".

When the content of the column corresponding to the "selection route policy" in the raw travel history table Tbl1 is "-", the calculation unit 32 is in the column corresponding to the route actually traveled by the driver, that is, the "actual travel route". Derive which route policy the content is close to and create the reason.

Then, the calculation unit 32 writes the derived route policy in the column corresponding to the item of the “selection policy” with parentheses. Further, the calculation unit 32 writes "-" and the created reason in the columns corresponding to the items of "running according to the proposed route" and "reason", respectively.

On the other hand, when the content of the column corresponding to the "selection route policy" in the raw travel history table Tbl1 is not "-", the calculation unit 32 is, for example, in each column corresponding to the "proposal route" and the "actual travel route". Compare the contents and check whether the driver has traveled according to the proposed route based on the comparison result.

When the driver travels according to the proposed route, the calculation unit 32 writes “◯” and “−” in the columns corresponding to the items “driving according to the proposed route” and “reason” in the travel history table Tbl2, respectively.

On the other hand, when the driver does not drive according to the proposed route, the calculation unit 32 derives which route policy the driver actually travels corresponds to, and creates the reason.

Then, the calculation unit 32 writes the derived route policy in parentheses and writes “x” in the column corresponding to “running according to the proposed route” in the travel history table Tbl2. Further, the calculation unit 32 writes the created reason in the column corresponding to the item of "reason".

In the travel history table Tbl2, for example, it is possible to recognize the road type and the travel environment based on the contents of each column corresponding to the "proposal route" and the "actual travel route" and the map data.

The travel history table Tbl2 may include weather information indicating the weather at the date and time when the driver traveled. This makes it possible to recognize the driving environment in more detail.

Further, for example, based on the contents of each column corresponding to the "driver ID" and the "date and time", it is possible to acquire the time zone in which the driver moves on a daily basis. This makes it possible to recognize the driver's daily driving route, waypoints, etc. as a daily habit.

FIG. 7 is a diagram showing an example of a driver preference table held by a storage unit in the route processing device according to the first embodiment of the present invention.

With reference to FIG. 7, the calculation unit 32 creates, for example, a driver preference table Tbl3 showing preferences for each driver based on the travel history table Tbl2.

More specifically, the calculation unit 32 creates the driver preference table Tbl3 by analyzing, for example, the travel history table Tbl2.

Specifically, for example, the calculation unit 32 aggregates the contents of each column corresponding to items such as "date and time", "destination", and "waypoint" in the travel history table Tbl2 for each driver ID, and the aggregation result. The preference of each driver is extracted based on. Then, the calculation unit 32 writes the extracted preferences of each driver in the driver preference table Tbl3.

FIG. 8 is a diagram showing an example of a route policy determination table held by a storage unit in the route processing device according to the first embodiment of the present invention.

With reference to FIG. 8, the calculation unit 32 creates, for example, a route policy determination table Tbl4 showing a tendency of route selection for each driver based on the travel history table Tbl2.

More specifically, the calculation unit 32 indicates, for example, at least one of the driver's past intentions, past trends, and past unique characteristics for each driver by analyzing the travel history table Tbl2. Create the route policy judgment table Tbl4.

Specifically, the calculation unit 32 is based on, for example, the contents of each column corresponding to the items of "proposal route", "running according to the proposed route", "reason", etc. in the travel history table Tbl2, and the proposed route. , And the reasons for rejecting the proposed route are aggregated for each driver ID, and the tendency of each driver's route selection is extracted based on the aggregated result.

Then, the calculation unit 32 sets the extracted tendency of each driver's route selection as "speed priority", "cheap priority", "eco priority", "easy-to-understand priority", "ride comfort priority", and "safety". It is quantified by the judgment parameters corresponding to "priority" and "priority for alleviating the feeling of congestion". In this quantification, the calculation unit 32 determines each determination parameter so that the total of the determination parameters becomes 10, for example. The calculation unit 32 writes each determined determination parameter in the route policy determination table Tbl4.

The calculation unit 32 may create the route policy determination table Tbl4 for each day type, time zone, or usage scene. This makes it possible to derive a proposed route that is more suitable for the driver.

With reference to FIG. 3 again, the determination unit 34 determines the route policy in the route calculation of the vehicle 1 based on the route characteristics calculated by the calculation unit 32.

Specifically, for example, when the determination unit 34 receives a navigation request from the acquisition unit 31, the determination unit 34 determines the route policy based on the received navigation request and the travel history table Tbl2 in the storage unit 35.

More specifically, the determination unit 34 acquires the driver ID (hereinafter, also referred to as a target ID), the route determination parameter information Pr1 and the target information from the navigation request.

The determination unit 34 determines whether or not to refer to the route policy determination table Tbl4 based on the acquired route determination parameter information Pr1.

More specifically, the determination unit 34 determines that the route policy determination table Tbl4 should not be referred to when any one of the priority parameters included in the route determination parameter information Pr1 is 10.

Then, the determination unit 34 creates the recommended route determination parameter information Pr3 having the same contents as the route determination parameter information Pr1.

On the other hand, the determination unit 34 determines that the route policy determination table Tbl4 should be referred to when none of the priority parameters included in the route determination parameter information Pr1 is 10.

Then, the determination unit 34 creates the recommended route determination parameter information Pr3 using the route policy determination table Tbl4.

More specifically, the determination unit 34 acquires each determination parameter of the target ID from, for example, the route policy determination table Tbl4 in the storage unit 35.

9 and 10 are diagrams showing an example of recommended route determination parameter information determined by the determination unit in the route processing apparatus according to the first embodiment of the present invention.

With reference to FIGS. 9 and 10, the determination unit 34 creates the route determination parameter information Pr1 and the recommended route determination parameter information Pr2 based on each acquired determination parameter.

More specifically, the determination unit 34 calculates the determination parameter by applying the determination parameter of the corresponding item as a weight to the priority parameter included in the route determination parameter information Pr1.

Specifically, the determination unit 34 recommends a route by multiplying the parameters of the same item in, for example, the priority parameter shown in FIG. 2 and the determination parameter corresponding to “driver ID = 1” shown in FIG. The parameter information Pr2 for determination is created.

The calculation unit 32, for example, performs standardization for converting the value of each determination parameter so that the total of each determination parameter of the recommended route determination parameter information Pr2 becomes 10, so that the recommended route determination parameter information Pr3 To create.

Further, the determination unit 34 acquires the "preference" of the target ID as the driver preference information from the driver preference table Tbl3 in the storage unit 35.

The determination unit 34 outputs the recommended route determination parameter information Pr3, the purpose information, and the driver preference information to the route calculation unit 33.

Further, the determination unit 34 outputs the recommended route determination parameter information Pr3 to the history registration unit 37.

When the history registration unit 37 receives the recommended route determination parameter information Pr3 from the determination unit 34, the history registration unit 37 receives the recommended route determination parameter information Pr3, and the route policy determined by the determination unit 34 (hereinafter, also referred to as the determination route policy). ) Is acquired.

In this example, the history registration unit 37 acquires the item corresponding to the determination parameter having the largest value among the determination parameters included in the recommended route determination parameter information Pr3 as the determination route policy.

For example, the history registration unit 37 acquires "safety priority" from the recommended route determination parameter information Pr3 shown in FIG. 10 as the determination route policy.

As described above, the history registration unit 37 writes the acquired decision route policy in the column corresponding to the item of the “selected route policy” in the raw travel history table Tbl1 (see FIG. 5).

FIG. 11 is a diagram showing an example of each link processed by the route calculation unit in the route processing device according to the first embodiment of the present invention.

FIG. 11 shows links Lk1 to Lk12 located between the starting point A and the destination I. A setup cost is assigned to each link for each route policy (see FIG. 4). In this example, the larger the setting cost value, the easier it is for the corresponding route policy to be reflected in the route calculation.

The cost information included in the map data in the storage unit 35 indicates the set cost for each route policy in each link.

With reference to FIG. 11, the route calculation unit 33 determines a recommended route, and more specifically, calculates an evaluation value of a plurality of candidate routes using weights of sizes according to the contents of the route policy, for example. , The determination process P1 for determining the recommended route based on the calculated evaluation value, and the determination process P2 for determining the recommended route including the waypoints based on the route characteristics.

More specifically, when the route calculation unit 33 receives the recommended route determination parameter information Pr3, the target information and the driver preference information from the determination unit 34, the route calculation unit 33 is from the departure point A to the destination I based on the target information and the map data. Derive multiple candidate routes for. These candidate routes are designated by links, for example, link Lk1 → link Lk2 → link Lk5 → link Lk10.

The route calculation unit 33 calculates the cost for each candidate route as an example of the evaluation value of the candidate route based on the recommended route determination parameter information Pr3 and the cost information.

Specifically, the route calculation unit 33 determines, for example, the cost of the link Lk1, the cost of the link Lk2, the cost of the link Lk5, and the cost of the link Lk5 for the candidate route Rt1 designated by the link Lk1 → the link Lk2 → the link Lk5 → the link Lk10. The sum of the costs of the link Lk10 is calculated as the cost of the candidate route Rt1.

More specifically, the route calculation unit 33 calculates the cost of the link Lk1 as follows. That is, the route calculation unit 33 reduces the cost of the link Lk1 by, for example, applying the parameter for determining the corresponding route policy included in the recommended route determination parameter information Pr3 as a weight to the setting cost in the link Lk1. calculate.

Specifically, the route calculation unit 33 multiplies the values of the same route policy in, for example, the setting cost of the link Lk1 shown in FIG. 11 and the determination parameter of “driver ID = 1” shown in FIG. The total of the multiplication results is calculated as the cost of the link Lk1.

More specifically, the route calculation unit 33 links Lk1 to, for example, a sum of 1 × 2, 1 × 0, 3 × 0, 5 × 3, 5 × 0, 1 × 5 and 2 × 0, that is, 2 + 0 + 0 + 15 + 0 + 5 + 0 = 22. Calculated as the cost of.

The route calculation unit 33 similarly calculates the cost of the link Lk2, the cost of the link Lk5, and the cost of the link Lk10, and calculates the cost of the candidate route Rt1.

The route calculation unit 33 similarly calculates the cost of the candidate route different from the candidate route Rt1, and arranges a plurality of candidate routes from the departure place A to the destination I in the order of the higher cost based on the calculation result.

Then, the route calculation unit 33 selects a candidate route within a predetermined order from the higher rank (hereinafter, also referred to as a higher rank route) from a plurality of candidate routes arranged in the order of higher cost.

In the route calculation unit 33, the POI (hereinafter, also referred to as a preference POI) according to the driver's "preference" indicated by the driver preference information is the upper route in each selected upper route based on the map data and the driver preference information. Check if it is located near.

When the preference POI is not located in the vicinity of the upper route, the route calculation unit 33 determines the upper route having the highest cost as the recommended route.

On the other hand, when the preference POI is located in the vicinity of the upper route, the route calculation unit 33 determines the upper route in which the preference POI is located in the vicinity as the recommended route.

The route calculation unit 33 outputs recommended route information indicating the determined recommended route to the history registration unit 37. Further, the route calculation unit 33 outputs navigation information including recommended route information and utterance information indicating a reason for determining the recommended route, a comment, and the like to the transmission unit 36. The content of the utterance information will be described later.

When the history registration unit 37 receives the recommended route information from the route calculation unit 33, as described above, the recommended route indicated by the received recommended route information is set to the "proposed route" in the raw travel history table Tbl1 (see FIG. 5). Write in the column corresponding to the item.

When the transmission unit 36 receives the navigation information from the route calculation unit 33, the transmission unit 36 wirelessly transmits the received navigation information to the wireless terminal device 151.

In the route processing system according to the first embodiment of the present invention, the wireless terminal device 151 is configured to create the route determination parameter information Pr1, but the present invention is not limited to this. The route processing device 101 may be configured to create the route determination parameter information Pr1.

More specifically, for example, the wireless terminal device 151 recognizes the voice of the driver and creates text information including text data indicating the voice of the driver based on the recognition result. Then, the wireless terminal device 151 transmits the created text information to the route processing device 101.

When the determination unit 34 in the route processing device 101 receives text information from the wireless terminal device 151 via the acquisition unit 31, for example, the determination unit 34 analyzes the content of the text data included in the received text information and determines the route based on the analysis result. Parameter information Pr1 is created.

Further, the wireless terminal device 151 may transmit voice information indicating the driver's voice to the route processing device 101. In this case, when the determination unit 34 in the route processing device 101 receives voice information from the wireless terminal device 151 via the acquisition unit 31, for example, the determination unit 34 creates text data indicating the driver's voice based on the received voice information. Then, as described above, the determination unit 34 creates the route determination parameter information Pr1 using the created text data.

[Specific example 1]
12 to 15 are diagrams showing an example of the operation of each device in the route processing system according to the first embodiment of the present invention.

As described above with reference to FIG. 12, for example, when the driver voice-inputs to the wireless terminal device 151 "I am worried about an accident because I am tired", the wireless terminal device 151 will use the driver's voice. Determine each priority parameter according to the content.

The wireless terminal device 151 wirelessly transmits the route determination parameter information Pr1 including each determined priority parameter and the navigation request including the target information to the route processing device 101.

When the route processing device 101 receives the navigation request from the wireless terminal device 151, the route processing device 101 creates navigation information according to the received navigation request, and wirelessly transmits the created navigation information to the wireless terminal device 151.

When the wireless terminal device 151 receives the navigation information from the route processing device 101, the wireless terminal device 151 displays the recommended route indicated by the recommended route information included in the received navigation information on the screen, and utters the content indicated by the utterance information included in the navigation information. By doing so, the proposed route proposed by the route processing device 101, as well as the reason for the decision and the comment are presented to the driver.

Specifically, the wireless terminal device 151 utters, "The number of signals and the traffic volume are small, and the safety priority route that does not pass through the residential area is set" based on the utterance information as the reason for the decision and the comment.

[Specific example 2]
With reference to FIG. 13, for example, when the driver voice-inputs "I want to return early" to the wireless terminal device 151, the wireless terminal device 151 has a "speed" that correlates with the content of the driver's voice. For items such as "priority", each priority parameter is determined so that the priority parameter corresponding to the item becomes large and the total becomes 10.

When the wireless terminal device 151 wirelessly transmits a navigation request to the route processing device 101 and receives navigation information from the route processing device 101 as a response to the navigation request, the wireless terminal device 151 wirelessly transmits the recommended route indicated by the recommended route information included in the received navigation information. While displaying on the screen, the content indicated by the utterance information included in the navigation information is spoken.

Specifically, the wireless terminal device 151 utters "The fastest route that arrives 20 minutes earlier than the usual route is set" based on the utterance information as the reason for the decision and the comment.

The route calculation unit 33 in the route processing device 101, for example, when the driver always selects the cheapest route and travels, the route that is not the fastest route but is faster and cheaper than usual is used as the recommended route. It may have a function to calculate.

[Specific example 3]
With reference to FIG. 14, for example, when the driver inputs a voice to the wireless terminal device 151, "I do not know because it is the first place to go", the wireless terminal device 151 correlates with the content of the driver's voice. Each priority parameter is determined so that the priority parameters corresponding to the items such as "easy-to-understand priority" are large and the total is 10.

When the wireless terminal device 151 wirelessly transmits a navigation request to the route processing device 101 and receives navigation information from the route processing device 101 as a response to the navigation request, the wireless terminal device 151 wirelessly transmits the recommended route indicated by the recommended route information included in the received navigation information. While displaying on the screen, the content indicated by the utterance information included in the navigation information is spoken.

Specifically, the wireless terminal device 151 utters, as the reason for the decision and the comment, "I set it with an easy-to-understand priority route that just turns right in front of the landmark A" based on the utterance information.

The route calculation unit 33 may have a function of calculating, for example, a route passing in the vicinity of the POI in consideration of the driver's preference as a recommended route according to the attribute of the destination. Specifically, for example, when the destination of a driver who likes tennis is a tennis court, the route calculation unit 33 calculates a route that passes near a tennis equipment store as a recommended route.

[Specific example 4]
With reference to FIG. 15, for example, when the driver voice-inputs "I feel sick" to the wireless terminal device 151, the wireless terminal device 151 has a "ride comfort" that correlates with the content of the driver's voice. For items such as "priority", each priority parameter is determined so that the priority parameter corresponding to the item becomes large and the total becomes 10.

When the wireless terminal device 151 wirelessly transmits a navigation request to the route processing device 101 and receives navigation information from the route processing device 101 as a response to the navigation request, the wireless terminal device 151 wirelessly transmits the recommended route indicated by the recommended route information included in the received navigation information. While displaying on the screen, the content indicated by the utterance information included in the navigation information is spoken.

Specifically, the wireless terminal device 151 utters, as a reason for the decision and a comment, "I set it on a ride comfort priority route with less shaking and less traffic" based on the utterance information.

The route calculation unit 33 passes near the hospital in case of an unexpected situation, for example, when the determination parameter of the item of "ride comfort priority" in the recommended route determination parameter information Pr3 is equal to or more than a predetermined value. The route may be calculated as the recommended route.

[Other specific examples]
For example, when the driver's preference is to feel stress on a tall vehicle such as a truck, the route calculation unit 33 recommends a route with few tall vehicles if the degree of congestion is the same. Calculated as.

Further, the route calculation unit 33 determines a recommended route based on, for example, the remaining amount of energy used for traveling of the vehicle 1. Specifically, for example, when the vehicle 1 driven by the driver is an electric vehicle or the like, the route calculation unit 33 calculates a route that passes near the power storage stand to the destination as a recommended route.

[Operation flow]
Each device in the route processing system 301 includes a computer, and an arithmetic processing unit such as a CPU in the computer reads a program including a part or all of each step of the following sequence diagram or flowchart from a memory (not shown) and executes the program. do. The programs of these plurality of devices can be installed from the outside. The programs of these plurality of devices are distributed in a state of being stored in a recording medium.

FIG. 16 is a flowchart defining an operation procedure when the route processing device in the route processing system according to the first embodiment of the present invention processes probe information from a vehicle.

With reference to FIG. 16, first, the route processing device 101 waits until the probe information is received from the wireless terminal device 151 in the vehicle 1 or, for example, the creation timing once a day arrives (in step S102). NO and NO in step S104).

Then, when the route processing device 101 receives the probe information from the wireless terminal device 151 (YES in step S102), the route processing device 101 accumulates the received probe information (step S108).

Next, the route processing device 101 waits until new probe information is received or the creation timing arrives (NO in step S102 and NO in step S104).

Then, when the creation timing arrives (NO in step S102 and YES in step S104), the route processing device 101 creates the raw travel history table Tbl1 based on the navigation request and the accumulated probe information (step S110).

Next, the route processing device 101 creates a travel history table Tbl2 based on the created raw travel history table Tbl1 and map data (step S112).

Next, the route processing device 101 creates the driver preference table Tbl3 by analyzing the created travel history table Tbl2 (step S114).

Next, the route processing device 101 creates a route policy determination table Tbl4 by analyzing the created travel history table Tbl2 (step S116).

Next, the route processing device 101 waits until the probe information is received or a new creation timing arrives (NO in step S102 and NO in step S104).

The order of steps S114 and S116 is not limited to the above, and the order may be changed.

Further, the table creation process in steps S110 to S116 is not limited to the configuration performed at a predetermined update timing, and may be performed at any timing.

FIG. 17 is a flowchart defining an operation procedure when the route processing device in the route processing system according to the first embodiment of the present invention performs a navigation information creation process.

With reference to FIG. 17, first, the route processing device 101 waits until a navigation request is received from the wireless terminal device 151 in the vehicle 1 (NO in step S200).

Then, when the route processing device 101 receives the navigation request from the wireless terminal device 151 (YES in step S200), the route processing device 101 refers to the route policy determination table Tbl4 based on the route determination parameter information Pr1 included in the received navigation request. It is determined whether or not it should be done (step S202).

When the route processing device 101 determines that the route policy determination table Tbl4 should be referred to (YES in step S202), the route processing device 101 acquires each determination parameter of the target driver ID from the route policy determination table Tbl4 (step S204). ..

Next, the route processing device 101 creates the recommended route determination parameter information Pr2 by using each acquired determination parameter as a weight for the priority parameter included in the route determination parameter information Pr1 (step S206).

Next, the route processing device 101 creates the recommended route determination parameter information Pr3 by standardizing each determination parameter included in the recommended route determination parameter information Pr2 (step S208).

On the other hand, when the route processing device 101 determines that the route policy determination table Tbl4 should not be referred to (NO in step S202), the route processing device 101 creates the recommended route determination parameter information Pr3 having the same contents as the route determination parameter information Pr1. (Step S210).

Next, when the route processing device 101 creates the recommended route determination parameter information Pr3 (steps S208 and S210), the route processing device 101 calculates the recommended route based on the recommended route determination parameter information Pr3, the purpose information, the driver preference information, and the map data. (Step S212).

Next, the route processing device 101 transmits navigation information to the wireless terminal device 151 (step S214).

Next, the route processing device 101 waits until a new navigation request is received from the wireless terminal device 151 (NO in step S200).

The route processing device 101 can independently execute the processes of the flowcharts shown in FIGS. 16 and 17 as different processes.

[Modification example of route processing device 101]
In the route processing system 301, the acquisition unit 31 in the route processing device 101 is configured to acquire the destination based on the input operation to the wireless terminal device 151 of the driver from the wireless terminal device 151, but the configuration is limited to this. is not it. The acquisition unit 31 may be configured to automatically acquire the destination.

The acquisition unit 31 calculates the destination based on, for example, the route characteristics calculated by the calculation unit 32.

Specifically, the acquisition unit 31 calculates the destination based on, for example, the probe information received from the wireless terminal device 151 and the travel history table Tbl2 shown in FIG.

More specifically, the acquisition unit 31 identifies the moving wireless terminal device 151 (hereinafter, also referred to as a target wireless terminal device) and the time based on the probe information.

The acquisition unit 31 refers to the travel history table Tbl2, and for example, based on the history of the “date and time” of the target wireless terminal device, determines the time zone in which the target wireless terminal device is moving on a daily basis and the corresponding destination. get.

For example, when the above time is included in the specified time zone, the acquisition unit 31 calculates the acquired destination as the destination of the target wireless terminal device.

Further, the acquisition unit 31 specifies, for example, the departure point of the wireless terminal device 151 based on the probe information.

The acquisition unit 31 creates target information indicating the specified departure place and the calculated destination, and outputs the created target information and the ID of the target wireless terminal device, that is, the target ID to the determination unit 34.

Upon receiving the target information and the target ID from the acquisition unit 31, the determination unit 34 determines the route policy based on, for example, the received target ID and the travel history table Tbl2 in the storage unit 35.

Specifically, for example, in the route policy determination table Tbl4 shown in FIG. 8, the determination unit 34 acquires each determination parameter of the target ID as a determination parameter, and determines a recommended route including each acquired determination parameter. Parameter information Pr3 is created.

Further, the determination unit 34 acquires the "preference" of the target ID as the driver preference information from the driver preference table Tbl3 in the storage unit 35.

The determination unit 34 outputs the recommended route determination parameter information Pr3, the purpose information, and the driver preference information to the route calculation unit 33.

The route processing device according to the first embodiment of the present invention is said to have a configuration including a route calculation unit 33, but the present invention is not limited to this. The route processing device 101 may be configured not to include the route calculation unit 33.

Further, in the route processing device according to the first embodiment of the present invention, the route characteristics include, but are not limited to, a road type, a traveling environment, a preference, and a daily habit. The route characteristics may include some of the road type, driving environment, preferences and daily habits.

Further, in the route processing apparatus according to the first embodiment of the present invention, the route calculation unit 33 is configured to perform both the determination process P1 and the determination process P2 based on the route policy. It is not limited. The route calculation unit 33 may be configured to perform either the determination process P1 or the determination process P2. Specifically, when the determination process P1 is performed without performing the determination process P2, the route calculation unit 33 determines, for example, the higher-level route having the highest cost as the recommended route. Further, when the determination process P2 is performed without performing the determination process P1, the route calculation unit 33 is, for example, a route in which the POI along the driver's "preference" indicated by the driver preference information is located in the vicinity and is the shortest. Determine the route as the recommended route.

By the way, there is a demand for a technique for calculating a more useful route for a driver beyond the technique described in Patent Document 1.

On the other hand, in the route processing device according to the first embodiment of the present invention, the acquisition unit 31 acquires the target information indicating the departure point and the destination of the vehicle 1. The calculation unit 32 calculates the route characteristics of the driver based on the purpose information acquired by the acquisition unit 31 and the driving history of the driver of the vehicle 1. Then, the determination unit 34 determines the policy in the route calculation of the vehicle 1 based on the route characteristics calculated by the calculation unit 32.

With such a configuration, it is possible to determine a policy suitable for the driver based on the route characteristics reflecting the driver's past intentions, past trends, past unique characteristics, and the like. Thereby, for example, by following the determined policy, it is possible to calculate a route useful for the driver. Therefore, it is possible to provide information for calculating a more useful route for the driver.

Further, in the route processing device according to the first embodiment of the present invention, the route characteristic includes at least one of a road type, a traveling environment, a preference, and a daily habit.

With such a configuration, it is possible to more accurately reflect the driver's past intentions, past trends, past unique characteristics, and the like in the route characteristics.

Further, in the route processing device according to the first embodiment of the present invention, the acquisition unit 31 calculates the destination based on the route characteristics calculated by the calculation unit 32.

With such a configuration, for example, the destination can be automatically calculated based on the driver's past tendency of route selection, so that the burden on the driver to input the destination can be reduced.

Further, in the route processing apparatus according to the first embodiment of the present invention, the route calculation unit 33 determines a recommended route. The route calculation unit 33 calculates evaluation values of a plurality of candidate routes using weights of sizes according to the contents of the policy, and determines a recommended route based on the calculated evaluation values, and route characteristics. At least one of the determination processes P2 for determining the recommended route including the waypoints based on the above is performed.

With such a configuration, for example, when the parameter indicating the characteristic of the candidate route is set corresponding to the policy, the operation is performed by calculating the evaluation value indicating the degree of matching between the characteristic of the candidate route and the policy. It is possible to determine a recommended route that suits a person's past intentions, past trends, past unique characteristics, and the like. Further, for example, it is possible to provide a recommended route including a waypoint that matches the driver's preference by a configuration for determining a recommended route including a waypoint based on a route characteristic indicating a preference or the like.

Next, other embodiments of the present invention will be described with reference to the drawings. The same or corresponding parts in the drawings are designated by the same reference numerals and the description thereof will not be repeated.

<Second embodiment>
The present embodiment relates to a route processing system in which a server is further provided as compared with the route processing system according to the first embodiment. Except for the contents described below, the same as the route processing system according to the first embodiment.

FIG. 18 is a diagram showing a configuration of a route processing system according to a second embodiment of the present invention.

With reference to FIG. 18, the route processing system 302 includes a route processing device 102, a wireless terminal device 151, a voice content analysis server 161 and a voice data analysis server 162.

The operation of the wireless terminal device 151 in the route processing system 302 is the same as that of the wireless terminal device 151 in the route processing system 301 shown in FIG.

FIG. 19 is a diagram showing an example of route determination parameter information created by a wireless terminal device in the route processing system according to the second embodiment of the present invention.

With reference to FIG. 19, the route determination parameter information Pr21 is also referred to as a driver ID and a priority item parameter, that is, a priority parameter and a state parameter (hereinafter, also referred to as a state parameter) and an emotion parameter (hereinafter, also referred to as an emotion parameter). ) Is shown.

More specifically, the priority item parameter is a parameter for expressing the driver's current intention. Priority items include, for example, "speed priority", "cheap priority", "easy-to-understand priority", "easy-to-run priority", "ride comfort priority" and "safety priority". The priority items may include other priority items such as "priority for alleviating traffic congestion" shown in FIG. Further, the priority item may be a part of each of the above items.

The state parameter is a parameter for expressing the "fatigue degree" which is an example of the driver's state. The emotion parameter is a parameter for expressing "anger degree", "joy degree", "sadness degree", and "excitement degree", which are examples of the driver's emotions.

With reference to FIG. 18 again, the driver utters, for example, to the wireless terminal device 151, "I want to go home a little earlier." Upon receiving the utterance of the driver, the wireless terminal device 151 creates voice information indicating the voice waveform of the received utterance, and creates the route determination parameter information Pr21 based on the created voice information.

More specifically, the wireless terminal device 151 wirelessly transmits audio information to the audio content analysis server 161 and the audio data analysis server 162.

FIG. 20 is a diagram for explaining an outline of language analysis processing performed in the voice content analysis server in the route processing system according to the second embodiment of the present invention.

With reference to FIG. 20, the voice content analysis server 161 performs a language analysis process for extracting the driver's current intention from the driver's utterance.

Specifically, when the voice content analysis server 161 receives the voice information from the wireless terminal device 151, the voice content analysis server 161 indicates the intention information including the priority parameters of the above-mentioned priority items and the destination of the driver based on the received voice information. Create destination information.

More specifically, the voice content analysis server 161 converts the voice waveform indicated by the voice information into text data indicating the content of the driver's utterance. In this example, the voice content analysis server 161 converts the voice information into text data indicating "I want to return a little sooner".

The voice content analysis server 161 decomposes the text data into morphemes such as verbs, nouns, adjectives, auxiliary verbs, and particles by performing morphological analysis on the text data.

In this example, the speech content analysis server 161 decomposes into four morphemes: the noun "little", the adjective "quick", the verb "return", and the auxiliary verb "tai".

The audio content analysis server 161 can use, for example, a knowledge database for translating morphemes, associating them with priority items, and associating them with destinations.

In this example, the audio content analysis server 161 translates "a little" into "medium" and assigns "3" as a parameter value. The voice content analysis server 161 associates "fast" with the priority item of "fast priority".

The audio content analysis server 161 associates the "return" with the "home" as the destination. If the text data includes a place name, the voice content analysis server 161 may preferentially associate the place name with the place name as the destination.

The voice content analysis server 161 translates "tai" into "hope", determines that the driver's utterance contained in the text data is an affirmative sentence, and maintains the destination as "home". On the other hand, when the voice content analysis server 161 determines that the driver's utterance included in the text data is a negative sentence, the destination is changed to a place other than "home".

The voice content analysis server 161 creates intention information indicating that the priority parameter of the priority item of "speed priority" is 3, and destination information indicating "home" as the destination, and creates the created intention information and destination information. Wireless transmission to the wireless terminal device 151.

FIG. 21 is a diagram for explaining an outline of fatigue degree estimation processing performed in a voice data analysis server in the route processing system according to the second embodiment of the present invention.

With reference to FIG. 21, the voice data analysis server 162 performs fatigue degree estimation processing for estimating the driver's fatigue degree from the driver's voice data.

Specifically, when the voice data analysis server 162 receives the voice information from the wireless terminal device 151, the voice data analysis server 162 creates the state information including the above-mentioned state parameters based on the received voice information.

More specifically, the voice data analysis server 162, for example, frequency-analyzes the voice waveform indicated by the voice information and determines the gender of the driver based on the frequency band to which the driver's voice belongs.

In addition, the voice data analysis server 162 is, for example, Non-Patent Document 1 (Yuki Aoki, 3 outsiders, "Development of application for smartphone that estimates the degree of fatigue from voice", 12th Information Science and Technology Forum, 2013. Using SiSECA (Shiomi's Cerebral Exponents Calculation Algorithm) described in Volume 2, P.269) in September 2014, voice fluctuations are detected based on voice information, and the detected fluctuations are quantified. CEM (Cerebral Exponent Macro) value, which is a brain activity index, is calculated. The average CEM values for men and the average CME values for women are about 878 and about 790, respectively.

In this example, the voice data analysis server 162 determines that the driver is a male and calculates 800 as the CEM value.

The voice data analysis server 162 has, for example, a CME value correspondence table Tbl25 showing the correspondence relationship between the CME value for each gender and the fatigue state, and the CME value of “800” and the CME value based on the CME value correspondence table Tbl25. Acquire "slightly tired" as a fatigue state corresponding to "male".

The voice data analysis server 162 estimates the fatigue level 3 according to the acquired "slightly tired" as a state parameter, and creates state information indicating the estimation result.

Further, the voice data analysis server 162 performs an emotion estimation process for estimating the driver's emotion from the driver's voice data.

Specifically, the voice data analysis server 162 creates emotion information including the above-mentioned emotion parameters based on the voice information.

More specifically, the voice data analysis server 162 is described in, for example, Non-Patent Document 2 (Shunji Mitsuyoshi, 2 outsiders, "Application to stress using voice emotion recognition technology ST", Journal of Japan Fatigue Society, March 2011. , Vol. 6, No. 2, pp. 19-27), and the degree of emotions such as anger, joy, sadness, and excitement of the driver is quantified by using the voice emotion analysis means (Sensibility Technology). ..

In this example, the voice data analysis server 162 calculates 1, 1, 1 and 2 as the degree of anger, the degree of joy, the degree of sadness and the degree of excitement, respectively, and creates emotional information including the calculated results.

The voice data analysis server 162 wirelessly transmits the created state information and emotion information to the wireless terminal device 151.

With reference to FIG. 18 again, the wireless terminal device 151 receives the intention information and the destination information from the voice content analysis server 161 and the state information and the emotion information from the voice data analysis server 162, and receives the intention. Route determination parameter information Pr21 (see FIG. 19) is created from information, state information, and emotional information.

Further, the wireless terminal device 151 identifies the departure point of the vehicle 1 based on the radio wave from the GPS satellite, and creates the target information from the specified departure point and the destination information.

The wireless terminal device 151 wirelessly transmits a navigation request including the route determination parameter information Pr21 and the purpose information to the route processing device 102.

[Configuration of route processing device]
FIG. 22 is a diagram showing a configuration of a route processing device in the route processing system according to the second embodiment of the present invention.

With reference to FIG. 22, the route processing device 102 includes an acquisition unit 31, a calculation unit 32, a route calculation unit 33, a storage unit 35, a transmission unit 36, a history registration unit 37, and a determination unit 44. Be prepared.

The operations of the acquisition unit 31, the calculation unit 32, the route calculation unit 33, the storage unit 35, the transmission unit 36, and the history registration unit 37 in the route processing device 102 are the acquisition unit 31, the calculation unit 32 in the route processing device 101 shown in FIG. , The route calculation unit 33, the storage unit 35, the transmission unit 36, and the history registration unit 37, respectively.

The acquisition unit 31 acquires, for example, intention information indicating the driver's intention, state information indicating the driver's state, emotion information indicating the driver's emotion, and target information.

More specifically, when the acquisition unit 31 receives the navigation request from the wireless terminal device 151, the acquisition unit 31 outputs the received navigation request to the determination unit 44 and the history registration unit 37.

FIG. 23 is a diagram showing an example of driver tendency parameter information created by the calculation unit in the route processing device according to the second embodiment of the present invention.

With reference to FIG. 23, the calculation unit 32 uses a driver tendency parameter indicating the driver's route selection tendency based on, for example, the driver's route characteristics, specifically, the travel history table Tbl2 (see FIG. 6). Information Pr22 is created.

More specifically, the calculation unit 32 includes, for example, in the route policy determination table Tbl4 shown in FIG. 8, an item of "ease of running" instead of an item of "eco-priority" and "congestion feeling mitigation priority". Create a table for determining the route policy.

In the route policy judgment table, "speed priority", "cheap priority", "easy-to-understand priority", "driving ease priority", "ride comfort priority" and "safety priority" corresponding to a certain driver ID The item parameter is the driver tendency parameter.

In this example, the driver tendency parameter information Pr22 is a driver tendency parameter for the driver ID included in the navigation request. Specifically, the driver tendency parameters of the items of "speed priority", "cheap priority", "easy to understand", "easy to drive", "ride comfort priority" and "safety priority" are 1 respectively. 4, 3, 4, 2 and 2.

24 and 25 are diagrams showing an example of an utterance content inclination coefficient table held by a storage unit in the route processing device according to the second embodiment of the present invention.

With reference to FIGS. 24 and 25, the utterance content inclination coefficient tables Tbl21 and Tbl22 are, for example, tables created in advance by the administrator of the route processing device 102, and the correspondence between the priority item and the inclination coefficient for the driver tendency parameter. Show the relationship.

26 and 27 are diagrams showing an example of a state emotion slope coefficient table held by a storage unit in the route processing device according to the second embodiment of the present invention.

With reference to FIGS. 26 and 27, the state emotion slope coefficient tables Tbl23 and Tbl24 are, for example, tables prepared in advance by the administrator of the route processing device 102, and the correspondence between the priority item and the slope coefficient for the driver tendency parameter. Show the relationship. Examples of use of the utterance content inclination coefficient tables Tbl21 and Tbl22 and the state emotion inclination coefficient tables Tbl23 and Tbl24 will be described later.

With reference to FIG. 22 again, the determination unit 44 calculates the route of the vehicle 1 based on, for example, the route characteristics calculated by the calculation unit 32, and the intention information, the state information, and the emotion information acquired by the acquisition unit 31. Determine the route policy in.

Specifically, for example, when the determination unit 44 receives a navigation request from the acquisition unit 31, the determination unit 44 acquires the driver ID, that is, the target ID, the route determination parameter information Pr21 (see FIG. 19), and the purpose information from the received navigation request.

FIG. 28 is a diagram showing an example of intention reflection parameter information created by a determination unit in the route processing device according to the second embodiment of the present invention.

With reference to FIG. 28, when the predetermined condition C1 is satisfied, the determination unit 44 uses the utterance content inclination coefficient table Tbl21 (see FIG. 24) in the storage unit 35 to determine the route determination parameter information Pr21 and the driver tendency parameter information Pr22. Based on (see FIG. 23), the intention reflection parameter information Pr23 including the intention reflection parameter is created.

Here, the predetermined condition C1 is, for example, that at least one of the priority parameters in the priority item in the route determination parameter information Pr21 has a predetermined threshold value Th1 or more, specifically 3 or more. be.

More specifically, when the determination unit 44 recognizes that the priority parameter of the item of "speed priority" is 3 in the route determination parameter information Pr21, it determines that the predetermined condition C1 is satisfied, and determines that the predetermined condition C1 is satisfied. Determine the "Priority" item as the main item.

In addition, the determination unit 44 searches for the item of the maximum priority parameter when, for example, three or more priority parameters exist in two or more items.

For example, when the number of searched items is one, the determination unit 44 determines the item as the main item. On the other hand, when the number of searched items is plurality, that is, when there are a plurality of priority parameter items having the same maximum value, the determination unit 44 refers to the driver tendency parameter information Pr22 and the driver tendency parameters of the corresponding items. And determine the item with the larger driver tendency parameter as the main item.

The determination unit 44 acquires each inclination coefficient corresponding to the main item, that is, the priority item of "fastness priority" from the utterance content inclination coefficient table Tbl21 held by the storage unit 35, and obtains the driver tendency parameter information Pr22 from the calculation unit 32. get.

Since the main item is "fastness priority", the determination unit 44 determines the priority parameter of "fastness priority", that is, 3 in the route determination parameter information Pr21 as the intention reflection parameter of "fastness priority".

In addition, the determination unit 44 has items other than the main items in the intention reflection parameter information Pr23, that is, items of "cheap priority", "easy-to-understand priority", "running ease priority", "ride comfort priority", and "safety priority". The intention reflection parameter for is determined as follows.

That is, the determination unit 44 determines the driver tendency parameter “4” in the driver tendency parameter information Pr22 and the main item in the utterance content inclination coefficient table Tbl21, that is, each inclination coefficient corresponding to the priority item “fastness priority”. Calculate 2 by multiplying it with 0.5, which is the slope coefficient of the "cheap priority" item. The determination unit 44 determines the calculated value as an intention reflection parameter of "cheap priority".

Further, the determination unit 44 determines the driver tendency parameter of "easiness of understanding priority" in the driver tendency parameter information Pr22, that is, 3, and the "easiness of understanding priority" of each inclination coefficient corresponding to the main item in the utterance content inclination coefficient table Tbl21. , Which is the slope coefficient of the item, is multiplied by 0.2 to calculate 0.6. Then, since the calculated 0.6 is not an integer, the determination unit 44 rounds off 0.6 to calculate 1, and determines the calculated value as an intention reflection parameter of "easy-to-understand priority".

Further, the determination unit 44 determines the driver tendency parameter of "ease of running priority" in the driver tendency parameter information Pr22, that is, 4, and the "ease of running priority" of each inclination coefficient corresponding to the main item in the utterance content inclination coefficient table Tbl21. , Which is the slope coefficient of the item, is multiplied by 0.2 to calculate 0.8. Then, since the calculated 0.8 is not an integer, the determination unit 44 rounds off 0.8 to calculate 1, and determines the calculated value as an intention reflection parameter of "ease of running priority".

Further, the determination unit 44 determines the driver tendency parameter of "ride comfort priority" in the driver tendency parameter information Pr22, that is, 2, and the "ride comfort priority" of each inclination coefficient corresponding to the main item in the utterance content inclination coefficient table Tbl21. Multiply by 0.2, which is the slope coefficient of the item, to calculate 0.4. Then, since the calculated 0.4 is not an integer, the determination unit 44 rounds off 0.4 to calculate zero, and determines the calculated value as the intention reflection parameter of "ride comfort priority".

Further, the determination unit 44 is of the driver tendency parameter of "safety priority" in the driver tendency parameter information Pr22, that is, 2 and the item of "safety priority" among the inclination coefficients corresponding to the main items in the utterance content inclination coefficient table Tbl21. Multiply by 0.5, which is the slope coefficient, to calculate 1. The determination unit 44 determines the calculated value as an intention reflection parameter of "safety priority". As a result, the intention reflection parameter information Pr23 shown in FIG. 28 is created.

FIG. 29 is a diagram showing an example of intention reflection parameter information created by a determination unit in the route processing device according to the second embodiment of the present invention.

With reference to FIG. 29, for example, when the wireless terminal device 151 receives the intention information indicating that the priority parameter of the priority item of “safety priority” is 4, the route determination is different from the route determination parameter information Pr21 shown in FIG. The priority parameters of the priority items of "speed priority", "cheap priority", "easy to understand", "easy to drive", "ride comfort priority" and "safety priority" in the parameter information are, for example, respectively. It becomes 0, 0, 0, 0, 0 and 4.

In this case, when the determination unit 44 recognizes that the priority parameter of the item of "safety priority" is 4, it determines that the predetermined condition C1 is satisfied, and determines the item of "safety priority" as the main item.

The determination unit 44 determines the intention reflection parameter based on each inclination coefficient corresponding to the main item in the utterance content inclination coefficient table Tbl21, that is, the priority item of "safety priority", and the driver tendency parameter information Pr22.

Specifically, since the main item is "safety priority", the determination unit 44 determines the priority parameter of "safety priority", that is, 4 in the route determination parameter information as the intention reflection parameter of "safety priority".

Further, the determination unit 44 determines the intention reflection parameter of "fastness priority" to be zero, which is a value obtained by multiplying zero, which is a slope coefficient, and 1, which is a driver tendency parameter.

Further, the determination unit 44 determines the intention reflection parameter of "cheap priority" to be zero, which is a value obtained by multiplying zero, which is a slope coefficient, and 4, which is a driver tendency parameter.

Further, the determination unit 44 determines the intention reflection parameter of "easiness of understanding priority" to be zero, which is a value obtained by multiplying zero, which is a slope coefficient, and 3, which is a driver tendency parameter.

Further, the determination unit 44 determines the intention reflection parameter of "ease of running priority" to be 2, which is a value obtained by multiplying the inclination coefficient of 0.5 and the driver tendency parameter of 4.

Further, the determination unit 44 determines the intention reflection parameter of "ride comfort priority" to be zero, which is a value obtained by multiplying the inclination coefficient zero and the driver tendency parameter 2. As a result, the intention reflection parameter information Pr24 shown in FIG. 29 is created.

On the other hand, unlike the case shown in FIG. 19, the determination unit 44 performs the following processing in the priority items in the route determination parameter information when the predetermined condition C1 is not satisfied.

That is, the determination unit 44 creates intention reflection parameter information (not shown) based on the route determination parameter information and the driver tendency parameter information Pr22 using the utterance content inclination coefficient table Tbl22 (see FIG. 25) in the storage unit 35. ..

In this case, the determination unit 44 creates the intention reflection parameter information by using the same creation method as the intention reflection parameter information Pr23 and Pr24 shown in FIGS. 28 and 29, respectively.

FIG. 30 is a diagram showing an example of state emotion reflection parameter information created by a determination unit in the route processing device according to the second embodiment of the present invention.

With reference to FIG. 30, when the predetermined condition C2 is satisfied, the determination unit 44 uses the state emotion gradient coefficient table Tbl23 (see FIG. 26) in the storage unit 35 to determine the route determination parameter information Pr21 (see FIG. 19) and Based on the driver tendency parameter information Pr22 (see FIG. 23), the state emotion reflection parameter information Pr25 including the state emotion reflection parameter is created.

Here, in the predetermined condition C2, for example, in the item of state and emotion in the parameter information Pr21 for route determination, at least one of each parameter regarding the degree of fatigue, the degree of anger, or the degree of excitement is a predetermined threshold value. It is Th2 or more and smaller than a predetermined threshold value Th3. Here, the thresholds Th2 and Th3 are, for example, 3 and 4, respectively.

In this example, when the determination unit 44 recognizes that the state parameter for the fatigue degree of the "state" item is 3 in the route determination parameter information Pr21, it determines that the predetermined condition C2 is satisfied, and "safety". Determine the "Priority" item as the main item.

The determination unit 44 acquires each inclination coefficient corresponding to the main item, that is, the priority item of "safety priority" from the state emotion inclination coefficient table Tbl23 held by the storage unit 35, and acquires the driver tendency parameter information Pr22 from the calculation unit 32. do.

The determination unit 44 determines a predetermined value, specifically 3, as the state emotion reflection parameter of the item of "safety priority" in the state emotion reflection parameter information Pr25 according to the state emotion inclination coefficient table Tbl23.

In addition, the determination unit 44 includes items other than the main items in the state emotion reflection parameter information Pr25, that is, "speed priority", "cheap priority", "easy-to-understand priority", "running ease priority", and "ride comfort priority". The state emotion reflection parameters for the item are determined as follows.

That is, the determination unit 44 determines each inclination coefficient corresponding to the driver tendency parameter "1" in the driver tendency parameter information Pr22 and the main item "safety priority" priority item in the state emotion inclination coefficient table Tbl23. Calculate zero by multiplying it with zero, which is the slope coefficient of our "speed priority" item. The determination unit 44 determines the calculated value as the state emotion reflection parameter of "fast priority".

Further, the determination unit 44 determines the driver tendency parameter "4" in the driver tendency parameter information Pr22 and the "cheap priority" item among the inclination coefficients corresponding to the main items in the state emotion inclination coefficient table Tbl23. Calculate zero by multiplying it with zero, which is the slope coefficient. The determination unit 44 determines the calculated value as the state emotion reflection parameter of "cheap priority".

Further, the determination unit 44 determines the driver tendency parameter of "easiness of understanding priority" in the driver tendency parameter information Pr22, that is, 3, and the "easiness of understanding priority" of each inclination coefficient corresponding to the main item in the state emotion inclination coefficient table Tbl23. Multiply by zero, which is the slope coefficient of the item "", to calculate zero. The determination unit 44 determines the calculated value as a state emotion reflection parameter of "easiness of understanding priority".

Further, the determination unit 44 determines the driver tendency parameter of "ease of running priority" in the driver tendency parameter information Pr22, that is, 4, and the "ease of running priority" of each inclination coefficient corresponding to the main item in the state emotion inclination coefficient table Tbl23. 2 is calculated by multiplying it with 0.5, which is the slope coefficient of the item. The determination unit 44 determines the calculated value as a state emotion reflection parameter of "ease of running priority".

Further, the determination unit 44 determines the driver tendency parameter of "ride comfort priority" in the driver tendency parameter information Pr22, that is, 2, and the "ride comfort priority" of each inclination coefficient corresponding to the main item in the state emotion inclination coefficient table Tbl23. Calculate zero by multiplying by zero, which is the slope coefficient of the item. The determination unit 44 determines the calculated value as a state emotion reflection parameter of "ride comfort priority".

Further, unlike the case shown in FIG. 19, the determination unit 44 uses the state emotion inclination coefficient table Tbl24 (see FIG. 27) in the storage unit 35 when the predetermined condition C3 is satisfied in the priority items in the route determination parameter information. Therefore, the state emotion reflection parameter information is created based on the route determination parameter information Pr21 and the driver tendency parameter information Pr22.

Here, in the predetermined condition C3, for example, in the item of state and emotion in the parameter information Pr21 for route determination, at least one of each parameter regarding the degree of fatigue, the degree of anger, or the degree of excitement is a predetermined threshold value. Th3, that is, 4 or more.

In this case, the determination unit 44 creates the state emotion reflection parameter information by using the same creation method as the state emotion reflection parameter information Pr25 shown in FIG. 30.

Further, unlike the case shown in FIG. 19, the determination unit 44 does not create the state emotion reflection parameter information when the predetermined conditions C2 and C3 are not satisfied in the priority items in the route determination parameter information.

With reference to FIG. 22 again, the determination unit 44 acquires the "preference" of the target ID as the driver preference information from the driver preference table Tbl3 (see FIG. 7) in the storage unit 35.

The determination unit 44 outputs the intention reflection parameter information Pr23 and the state emotion reflection parameter information Pr25 as the recommended route determination parameter information, as well as the purpose information and the driver preference information to the route calculation unit 33.

Further, the determination unit 44 registers the intention reflection parameter information Pr23 and the state emotion reflection parameter information Pr25 as the recommended route determination parameter information in order to register the determination route policy in the raw travel history table Tbl1 (see FIG. 5). Output to unit 37.

With reference to FIG. 11 again, when the route calculation unit 33 receives the intention reflection parameter information Pr23, the state emotion reflection parameter information Pr25, the target information and the driver preference information from the determination unit 44, the route calculation unit 33 receives the intention reflection parameter information Pr23, the target information and the driver preference information, and based on the target information and the map data, A plurality of candidate routes from the departure point A to the destination I are derived.

In this case, it is assumed that each link is further assigned a setting cost for priority on ease of running.

The route calculation unit 33 calculates the costs for the plurality of derived candidate routes based on the intention reflection parameter information Pr23, and for example, the candidate route with the highest cost is a recommended route that reflects the driver's intention (hereinafter,). It is also called the recommended route to reflect the intention.)

In addition, in the route calculation unit 33, for example, when the preference POI is located in the vicinity of a candidate route whose cost is within a predetermined order from the upper rank, that is, the upper route, based on the map data and the driver preference information, the preference POI is located in the vicinity. The higher-level route to be used may be determined as the recommended route for reflecting the intention.

Further, the route calculation unit 33 calculates the costs for each of the plurality of candidate routes based on the state / emotion reflection parameter information Pr25, and recommends, for example, the candidate route with the highest cost reflecting the driver's condition and emotion. It is determined as a route (hereinafter, also referred to as a recommended route for reflecting state emotions).

In addition, in the route calculation unit 33, for example, when the preference POI is located in the vicinity of a candidate route whose cost is within a predetermined order from the upper rank, that is, the upper route, based on the map data and the driver preference information, the preference POI is located in the vicinity. The higher-level route to be performed may be determined as the recommended route for reflecting state emotions.

The route calculation unit 33 outputs navigation information including utterance information indicating an intention reflection recommended route, a state emotion reflection recommended route, a reason for determining these recommended routes, a comment, and the like to the transmission unit 36.

In this case, the reason and comment is, for example, "I chose a route that is 20 minutes faster than usual. It seems a little tired, so it is a high-speed route with less traffic."

Further, the route calculation unit 33 indicates the determined intention reflection recommended route and the state emotion reflection recommended route in order to register the intention reflection recommended route and the state emotion reflection recommended route in the raw travel history table Tbl1 (see FIG. 5). The recommended route information is output to the history registration unit 37.

When the transmission unit 36 receives the navigation information from the route calculation unit 33, the transmission unit 36 wirelessly transmits the received navigation information to the wireless terminal device 151.

[Operation flow]
FIG. 31 is a flowchart defining an operation procedure when the route processing device in the route processing system according to the second embodiment of the present invention performs a navigation information creation process.

With reference to FIG. 31, first, the route processing device 102 waits until a navigation request is received from the wireless terminal device 151 in the vehicle 1 (NO in step S300).

Then, when the route processing device 102 receives the navigation request from the wireless terminal device 151 (YES in step S300), whether or not the predetermined condition C1 is satisfied based on the route determination parameter information Pr21 included in the received navigation request. Is determined (step S302).

Next, when the route processing device 102 determines that the predetermined condition C1 is satisfied (YES in step S302), the route processing device 102 uses the utterance content inclination coefficient table Tbl21 and is based on the route determination parameter information Pr21 and the driver tendency parameter information Pr22. Intention reflection parameter information is created (step S306).

On the other hand, when the route processing device 102 determines that the predetermined condition C1 is not satisfied (NO in step S302), the route processing device 102 uses the utterance content inclination coefficient table Tbl22 and is based on the route determination parameter information Pr21 and the driver tendency parameter information Pr22. Intention reflection parameter information is created (step S304).

Next, when the route processing device 102 creates the intention reflection parameter information (steps S304 and S306), the route processing device 102 determines whether or not the predetermined condition C2 is satisfied based on the route determination parameter information Pr21 (step S308).

Next, when the route processing device 102 determines that the predetermined condition C2 is satisfied (YES in step S308), the route processing device 102 uses the state emotion gradient coefficient table Tbl23 based on the route determination parameter information Pr21 and the driver tendency parameter information Pr22. State emotion reflection parameter information is created (step S310).

On the other hand, when the route processing device 102 determines that the predetermined condition C2 is not satisfied but the predetermined condition C3 is satisfied (NO in step S308 and YES in step S312), the route determination parameter is used by using the state emotion gradient coefficient table Tbl24. State emotion reflection parameter information is created based on the information Pr21 and the driver tendency parameter information Pr22 (step S314).

Next, when the route processing device 102 creates the state / emotion reflection parameter information (steps S310 and S314), the intention reflection is recommended based on the intention reflection parameter information, the state / emotion reflection parameter information, the purpose information, the driver preference information, and the map data. Route and state Emotion reflection recommended route is calculated (step S318).

Further, when the route processing device 102 determines that both the predetermined conditions C2 and C3 are not satisfied (NO in step S308 and NO in step S312), it is based on the intention reflection parameter information, the purpose information, the driver preference information, and the map data. The recommended route for reflecting the intention is calculated (step S316).

Next, when the route processing device 102 calculates the intention reflection recommended route and the state emotion reflection recommended route (step S318) or calculates the intention reflection recommended route (step S316), the route processing device 102 transmits the navigation information to the wireless terminal device 151. (Step S320).

Next, the route processing device 102 waits until a new navigation request is received from the wireless terminal device 151 (NO in step S300).

In the above step S304, the route processing device 102 is configured to create intention reflection parameter information based on the route determination parameter information Pr21 and the driver tendency parameter information Pr22 by using the utterance content inclination coefficient table Tbl22. However, it is not limited to this.

The route processing device 102 may be configured to create each priority parameter in the priority item in the route determination parameter information Pr21 as the intention reflection parameter information as it is, or may reflect each driver tendency parameter in the driver tendency parameter information Pr22 as it is. It may be configured to be created as parameter information.

Further, in the route processing device according to the second embodiment of the present invention, the acquisition unit 31 is configured to acquire intention information, state information, emotional method, and purpose information, but the present invention is not limited to this. No. The acquisition unit 31 may be configured to acquire a part of intention information, state information, emotional information, and purpose information.

Further, in the route processing device according to the second embodiment of the present invention, the determination unit 44 determines the route policy in the route calculation of the vehicle 1 based on the intention information, the state information, the emotion information, and the route characteristics. However, it is not limited to this. The determination unit 44 may be configured to determine the route policy based on a part of intention information, state information, and emotion information and a route characteristic.

Further, the route processing system according to the second embodiment of the present invention is configured to include a voice content analysis server 161 that performs language analysis processing and a voice data analysis server 162 that performs fatigue degree estimation processing and emotion estimation processing. However, it is not limited to this. The route processing system 302 may be configured not to include the voice content analysis server 161 and the voice data analysis server 162. In this case, for example, the route processing device 102 performs language analysis processing, fatigue degree estimation processing, and emotion estimation processing based on the voice information transmitted from the wireless terminal device 151. Further, the route processing system 302 may be configured to include one server that performs language analysis processing, fatigue degree estimation processing, and emotion estimation processing. As a result, since the wireless terminal device 151 may wirelessly transmit voice information to the one server, it is wireless as compared with a configuration in which voice information is wirelessly transmitted to each of the voice content analysis server 161 and the voice data analysis server 162. The amount of data transmitted wirelessly by the terminal device 151 can be reduced.

Further, in the route processing system according to the second embodiment of the present invention, the wireless terminal device 151 is configured to wirelessly transmit voice information to the voice content analysis server 161, but the present invention is not limited to this. .. The wireless terminal device 151 may be configured to convert the voice waveform indicated by the voice information into text data indicating the content of the driver's utterance and wirelessly transmit the information indicating the text data to the voice content analysis server 161. .. As a result, the amount of data wirelessly transmitted from the wireless terminal device 151 to the audio content analysis server 161 can be reduced.

As described above, in the route processing device according to the second embodiment of the present invention, the acquisition unit 31 acquires the intention information indicating the driver's intention and the purpose information indicating the departure point and the destination of the vehicle 1. do. The determination unit 44 determines the policy for route calculation of the vehicle 1 based on the route characteristics calculated by the calculation unit 32 and the intention information acquired by the acquisition unit 31.

With such a configuration, for example, the current intention of the driver can be reflected in the policy, and by following the policy, a more useful route in line with the intention of the driver can be calculated.

Further, in the route processing device according to the second embodiment of the present invention, the acquisition unit 31 acquires the state information indicating the state of the driver and the purpose information indicating the departure place and the destination of the vehicle 1. The determination unit 44 determines the policy for route calculation of the vehicle 1 based on the route characteristics calculated by the calculation unit 32 and the state information acquired by the acquisition unit 31.

With such a configuration, for example, the current state of fatigue of the driver can be reflected in the policy, and by following the policy, a more useful route can be calculated according to the state of the driver. ..

Further, in the route processing device according to the second embodiment of the present invention, the acquisition unit 31 acquires emotion information indicating the driver's emotions and target information indicating the departure point and destination of the vehicle 1. The determination unit 44 determines the policy for route calculation of the vehicle 1 based on the route characteristics calculated by the calculation unit 32 and the emotional information acquired by the acquisition unit 31.

With such a configuration, for example, the driver's current emotions such as the degree of anger, the degree of joy, the degree of sadness, and the degree of excitement can be reflected in the policy. A useful route can be calculated.

Since other configurations and operations are the same as those of the route processing system according to the first embodiment, detailed description thereof will not be repeated here.

It is also possible to appropriately combine some or all of the components and operations of the devices according to the first embodiment and the second embodiment of the present invention.

It should be considered that the above embodiments are exemplary in all respects and not restrictive. The scope of the present invention is shown by the scope of claims rather than the above description, and is intended to include all modifications within the meaning and scope equivalent to the scope of claims.

The above description includes the features described below.

[Appendix 1]
The acquisition unit that acquires the purpose information indicating the departure point and destination of the vehicle, and
A calculation unit that calculates the route characteristics of the driver based on the target information acquired by the acquisition unit and the driving history of the driver of the vehicle.
A decision unit for determining a policy in the route calculation of the vehicle based on the route characteristic calculated by the calculation unit is provided.
The acquisition unit further acquires route determination parameter information indicating at least one of the driver's current intentions, current trends, and current unique characteristics.
Based on the route characteristics, the calculation unit creates a route policy determination table showing at least one of the driver's past intentions, past trends, and past unique characteristics.
The determination unit is a route processing device that determines the policy based on the route determination parameter information acquired by the acquisition unit and the route policy determination table created by the calculation unit.

1 Vehicle 31 Acquisition unit 32 Calculation unit 33 Route calculation unit 34 Decision unit 35 Storage unit 36 Transmission unit 37 History registration unit 44 Decision unit 101, 102 Route processing device 151 Wireless terminal device 161 Voice content analysis server 162 Voice data analysis server 301, 302 Route processing system

Claims (5)

A route processing program used in a route processing device.
Computer,
The acquisition unit that acquires the purpose information indicating the departure point and destination of the vehicle, and
A calculation unit that obtains route characteristics indicating the characteristics of the route traveled by the driver based on the target information acquired by the acquisition unit and the driving history of the driver of the vehicle.
A determination unit that determines a policy for route calculation of the vehicle based on the route characteristics obtained by the calculation unit .
Route calculation unit that determines the recommended route,
It is a program to function as
The route calculation unit calculates evaluation values of a plurality of candidate routes using weights of a size according to the content of the policy, and determines the recommended route based on each of the calculated evaluation values, and the process of determining the recommended route. A route processing program that performs at least one of the processes for determining the recommended route, including a waypoint based on the route characteristic. The route processing program according to claim 1, wherein the route characteristic includes at least one of a road type, a traveling environment, a preference, and a daily habit. The route processing program according to claim 1 or 2, wherein the acquisition unit calculates the destination based on the route characteristics obtained by the calculation unit. The acquisition unit that acquires the purpose information indicating the departure point and destination of the vehicle, and
A calculation unit that obtains route characteristics indicating the characteristics of the route traveled by the driver based on the target information acquired by the acquisition unit and the driving history of the driver of the vehicle.
A determination unit that determines a policy for route calculation of the vehicle based on the route characteristics obtained by the calculation unit .
Equipped with a route calculation unit that determines the recommended route
The route calculation unit calculates evaluation values of a plurality of candidate routes using weights of a size according to the content of the policy, and determines the recommended route based on each of the calculated evaluation values, and the process of determining the recommended route. A route processing device that performs at least one of the processes for determining the recommended route, including a waypoint based on the route characteristic. It is a route processing method in a route processing device.
Steps to obtain purpose information indicating the vehicle's starting point and destination,
Based on the acquired target information and the driving history of the driver of the vehicle, a step of obtaining a route characteristic indicating the characteristics of the route traveled by the driver, and a step of obtaining the route characteristic.
A step of determining a policy in the route calculation of the vehicle based on the obtained route characteristics, and
Including the step of determining the recommended route
In the step of determining the recommended route, the evaluation values of a plurality of candidate routes are calculated using the weights of the sizes according to the contents of the policy, and the recommended routes are determined based on the calculated evaluation values. A route processing method that performs at least one of a process and a process of determining the recommended route including a waypoint based on the route characteristic.

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