JP2021120876A - Apparatus for recommending facility suitable for use by vehicle and method of recommending facility for same use - Google Patents

Abstract

To realize an apparatus for recommending a facility for use by a vehicle which can recommend a use facility in a proper state.SOLUTION: A method according to the present invention has a step of, by using information regarding entry and exit time of each vehicle transmitted from information communication means provided at an entrance and an exit of each of a plurality of use facilities located along a road and information regarding the numbers of vehicles which enter into and exit from each of the roadside use facilities, acquiring information regarding crowded state of each of the use facility and time used by each vehicle at the facility, a step of storing the acquired information regarding crowded state of each of the use facilities and the use time thereof in a use facility crowded-state information storing means, a step of storing information of traffic state surrounding each use facility received from a road traffic control server in a traffic state classification information storing means, a step of, based on the current information of the traffic state, carrying out use recommendation processing for each use facility from a current position of a vehicle by using the crowded state information of each use facility stored in the user facility crowded state information storing means and the information of the traffic state surrounding each use facility stored in the traffic state classification information storing means. Thus, the method can provide a terminal device of a vehicle with the recommendation information for a use state based on the use recommendation processing.SELECTED DRAWING: Figure 10

Description

An embodiment of the present invention relates to a facility recommended device for an automobile and a method recommended for a facility to be used.

Generally, a plurality of facilities such as a service area (SA) and a parking area (PA) are installed on an expressway (or a toll road). Each facility is an indispensable facility used by automobile users for resting, eating, purchasing products, refueling, and the like.

It is desirable for automobile users to be able to stop by and use the facilities in appropriate conditions while driving on the highway. The appropriate situation is a situation in which the congestion situation in the facility (the degree of congestion in the parking lot or the degree of congestion in the facility) and the traffic situation in the surrounding area (the degree of congestion) are preferable for the user. In addition, a user of an electric vehicle (denoted as an EV vehicle) may charge the vehicle by using a charging facility (charging station) in the facility. In this case, a relatively long waiting time for charging (corresponding to a kind of break time in the facility) is required, so it is important for the user of the EV vehicle to select a facility to be used in an appropriate situation.

Japanese Unexamined Patent Publication No. 2006-208292 Japanese Unexamined Patent Publication No. 2012-251989 Japanese Patent No. 5818774 Japanese Patent No. 3708734 Japanese Patent No. 3563629 Japanese Patent No. 3529663

Conventionally, a system that recommends a facility to be used in consideration of a break time and a system that recommends a facility to be used equipped with a charging facility in consideration of the state of charging energy of an EV vehicle have been proposed. However, it is desirable that the user of the automobile can select the facility to be used in an appropriate situation in consideration of the congestion situation in the facility and the traffic situation in the surrounding area. Therefore, there is a problem of realizing a facility recommendation device for automobiles that can recommend a facility for use in an appropriate situation.

The vehicle usage facility recommended device of this embodiment is
For multiple facilities installed on the road, using information on the entry and exit times, number of entries and number of entries for each vehicle transmitted from the information and communication means installed at the entrance and exit of each facility, Obtain information on congestion status and usage time for each facility,
Congestion information including the congestion status and usage time for each facility used is stored in the facility congestion information storage means.
The information on the surrounding traffic conditions for each facility used, which is received from the traffic control server, is stored in the traffic condition classification information storage means.
Based on the current traffic condition information, the congestion information for each user facility stored in the user facility congestion information storage means and the surrounding traffic conditions for each user facility stored in the traffic condition classification information storage means. Using the information in, execute the usage recommendation processing for each facility from the current position of the car,
The recommended information of the facility to be used based on the recommended use process is provided to the terminal device of the automobile.

The block diagram for demonstrating the structure of the system which concerns on 1st Embodiment. The figure which shows an example of the congestion information of the use facility which concerns on this embodiment. The figure which shows an example of the break time information of the use facility which concerns on this embodiment. The figure which shows an example of the traffic condition classification information about this embodiment. The figure which shows an example of the use statistical information by use facility about this embodiment. A flowchart for explaining the processing of the usage status classification unit of the same embodiment. The flowchart for demonstrating the process of the use facility recommendation part of the same embodiment. The figure for demonstrating the specific example of the recommended processing of the use facility concerning this embodiment. The figure for demonstrating an example of the input process of the user concerning this embodiment. The block diagram for demonstrating the structure of the system which concerns on 2nd Embodiment. The block diagram for demonstrating the structure of the system which concerns on 3rd Embodiment. The flowchart for demonstrating the process of the use facility recommended server of the same embodiment. The figure for demonstrating the specific example of the method of calculating (estimating) the rest time for each use facility in the same embodiment. The flowchart for demonstrating the calculation process of the time required for Tracan in the specific example. The figure for demonstrating the Tracan information in the specific example. The flowchart for demonstrating the calculation process of the time required for Tracan in the specific example. The figure for demonstrating the calculation method of the Tracan required time in the specific example of the calculation method of the rest time of the same embodiment. The figure for demonstrating the calculation method of the time required for Tracan in the specific example. The figure for demonstrating the calculation method of the time required for Tracan in the specific example. A flowchart for explaining a specific example of the recommended process. The figure for demonstrating the specific example of the recommended processing of the use facility of the said embodiment. The figure which shows an example of recommended information for explaining the specific example of the recommended process. The figure which shows an example of the display form of the user terminal of the same embodiment.

[First Embodiment]
Embodiments will be described below with reference to the drawings.

The vehicle (EV vehicle) that is the target of this embodiment includes an electric vehicle (EV vehicle) that runs only on a rechargeable battery, an engine that uses volatile fuel such as gasoline or light oil, and a motor that is driven by electricity. Also included are hybrid vehicles that have the ability to charge the battery from the outside, or hydrogen vehicles that run on fuel cells that use hydrogen.

FIG. 1 is a block diagram showing a system configuration according to the present embodiment.
As shown in FIG. 1, the system includes a facility recommended server 1, a user management server 2, a facility management server 4, and a traffic control server 5. Each of the servers 1, 2, 4 and 5 has a computer system as a main element and includes a communication device for exchanging various types of information.

As will be described later, the facility recommendation server 1 executes a process of recommending an appropriate facility from a plurality of facilities installed on the expressway to a user of an automobile traveling on an expressway (toll road). .. The facility used in this embodiment corresponds to a service area (SA) or a parking area (PA), and is a facility used by automobile users for resting, eating, purchasing products, refueling, and the like.

The user facility recommendation server 1 has a user facility recommendation unit 10 and a usage status classification unit 11 that execute processing by software. The usage facility recommendation unit 10 executes a recommendation process for recommending an appropriate usage facility, as will be described later. The usage status classification unit 11 roughly creates usage statistics information for each usage facility to be used for the recommended processing of the usage facility recommendation unit 10.

Further, the facility recommendation server 1 is an information storage device that constitutes a database, and is a storage unit 12 for usage facility congestion information, a storage unit 13 for usage facility break time information, a storage unit 14 for traffic status classification information, and current information. It includes a storage unit 15, a storage unit 16 for usage statistics information by facility, and a storage unit 17 for recommended supply point information. Further, the facility recommended server 1 may be configured to include a storage unit 18 for user setting parameter information and a storage unit 19 for user setting pre-planning information.

Further, the usage status classification unit 11 may be configured to use the information provided from the user terminal 3 of the traveling automobile as the parameter information such as the initial condition and the end condition. In this case, the parameter information provided by the user terminal 3 is stored in the user setting parameter information storage unit 18 of the facility recommended server 1 shown in FIG.

FIG. 2 is a diagram showing an example of usage facility congestion information.
As shown in FIG. 2, the facility congestion information stored in the storage unit 12 is table information in which the time and frequency recorded for each facility (A, B ... N) are associated with each other. The frequency means, for example, the number of automobiles input or output to the facility in 5 minutes.

FIG. 3 is a diagram showing an example of use facility break time information.
As shown in FIG. 3, the use facility break time information stored in the storage unit 13 is table information in which the time recorded for each use facility and the break time (average value) are associated with each other. The break time is not only a general break but also a usage time at a facility used by a car user for meals, product purchases, refueling, and the like.

FIG. 4 is a diagram showing an example of traffic condition classification information.
As shown in FIG. 4, the traffic condition classification information stored in the storage unit 14 is table information in which the time recorded for each facility used and the traffic condition are associated with each other. The traffic condition is a traveling condition on the road around each facility, for example, either congested or smooth (not congested). The traffic condition can be set arbitrarily by the system administrator.

FIG. 5 is a diagram showing an example of usage statistical information for each facility.
As shown in FIG. 5, the usage statistical information for each facility used stored in the storage unit 16 is created as a statistical value based on each information as shown in FIGS. 2 to 4, and the time and traffic for each facility used. It is table information associated with the status, the congestion status, and the break time. For convenience, the congestion status of each facility is classified into medium (slightly crowded), large (crowded), and vacant (vacant) as the degree of congestion in the parking status. The congestion status for each facility can be set arbitrarily by the system administrator.

Here, the current information storage unit 15 is information provided from the user terminal 3 of the traveling automobile, and stores the current information including the time, the current position, and the destination recorded for each user. In the case of an EV vehicle, the current information may include energy consumption from the current position to the facility used (energy consumption required for traveling).

Returning to FIG. 1, the facility management server 4 manages break time information and congestion information acquired from each facility used. The facility management server 4 provides information to the facility recommended server 1.
The traffic control server 5 stores and manages traffic condition information such as traffic counter (tracan) information (number of vehicles traveled in a traveling section and average speed) in a database (DB) 20 as information on the traffic condition of an expressway. .. The traffic control server 5 also provides information to the facility recommended server 1.

The user management server 2 manages information exchange between the user terminal 3 operated by the user of the traveling vehicle and the facility recommended server 1. The user management server 2 includes a communication device capable of communicating with a base station of a mobile phone network, an access point of a public wireless LAN, or a roadside communication facility such as an ITS spot (ETC2.0).
The user terminal 3 is a mobile terminal such as a smartphone, and has a display screen (see FIG. 23) for displaying information provided by the facility recommended server 1. The user terminal 3 may be an in-vehicle device such as a car navigation system.

Next, the operation will be described.
FIG. 6 is a flowchart for explaining the creation process of the usage status classification unit 11 for the usage statistical information for each facility (see FIG. 5).

Roughly speaking, the usage status classification unit 11 acquires usage facility congestion information, break time information, and traffic status classification information from the storage units 12, 13, and 14 as a processing procedure for creating usage statistics information for each usage facility. do. The usage status classification unit 11 calculates the average value of the congestion status and the average value of the break time at the corresponding time for each traffic status classification at each usage facility, and based on these calculation results, the usage statistical information for each usage facility. Is created and stored in the storage unit 16. In addition to the average value, a median value, a trim value, or the like may be calculated. In addition, the usage status classification unit 11 shall perform classification using the season and traffic status, and classification using the time zone and traffic status of the morning, noon, and evening based on the type stamp of the trakan information. You may. Hereinafter, specific processing of the usage status classification unit 11 will be described with reference to FIG.

As shown in FIG. 6, in the process S10, the usage status classification unit 11 sets the initial condition (j = 1) and the end condition (j = Na). Here, Na is the number of target facilities.
In the process S11, the usage status classification unit 11 acquires traffic status information (see FIG. 4) for each usage facility from the storage unit 14.
In process S12, the usage status classification unit 11 sets an initial condition (i = 1) and an end condition (i = Nb). Here, Nb is the number of target traffic condition information.

Next, in the process S13, the usage status classification unit 11 acquires the date and time of the traffic status ki label (smooth or congested) from the traffic status information.
Next, in the process S14, the usage status classification unit 11 calculates the average value of the break time on the corresponding date and time from the usage facility congestion information (see FIG. 3) of the storage unit 13.
Further, in the process S15, the usage status classification unit 11 calculates the average value of the congestion status (frequency) of the corresponding date and time from the usage facility congestion information (see FIG. 2) of the storage unit 12.
In process S16, the usage status classification unit 11 adds 1 to the number (i) of traffic status information. If the number of traffic status information is not (i = Nb) (NO in process S17), the process returns to process S13 to perform such processing up to the number of traffic status information (i = Nb). ,repeat.

Next, in the process S18, the usage status classification unit 11 creates and stores usage statistical information for each facility based on each calculation result for each traffic status label (smooth or congested) from the process S13 to the process S15. Store in 16.
In process S19, the usage status classification unit 11 adds 1 to the number of facilities used (j). Then, when the number of facilities used (j = Na) is not reached (NO in process S20), by returning to process S11, such a process is repeated up to the number of facilities used (j = Na), and FIG. 5 At each facility used as shown in (1), usage statistical information for each facility used for each classification of traffic conditions is created and stored in the storage unit 16.

FIG. 7 is a flowchart for explaining the recommended processing of the user facility recommendation unit 10, which is the main unit, in the user facility recommendation server 1 of the present embodiment.

As shown in FIG. 7, in the process S1, the facility recommendation unit 10 accesses the storage unit 16, and from the usage statistics information for each facility (see FIG. 5), the congestion status, break time, and traffic status for each facility are used. Get information about.

Further, in the process S2, the facility recommendation unit 10 accesses the storage unit 14 and acquires the current traffic condition classification information (see FIG. 4). Here, as described above, the current traffic condition classification information is information indicating the current traveling condition (traffic jam or smoothness) on the roads around each facility.
Further, the facility recommendation unit 10 accesses the storage unit 15 and acquires the current information. Here, as described above, the current information is information provided from the user terminal 3 of the traveling automobile, and includes the time, the current position, and the destination recorded for each user.

Next, in the process S3, the use facility recommendation unit 10 calculates the evaluation value of the use state of each use facility in the current traffic condition classification by using each information acquired by the process S1 and the process S2.
Further, in the process S4, the user facility recommendation unit 10 executes a recommended process of determining the recommended result (recommended order) of the user facility based on the calculated evaluation value, as will be described later. The details of the method for determining the recommended result will be described later with reference to FIGS. 8 and 9.

Next, in the process S5, the user facility recommendation unit 10 stores the recommended information of the user facility including the position of the recommended user facility in the storage unit 17 of the recommended supply point information.
By such processing, the user facility recommendation unit 10 of the facility recommendation server 1 operates the recommended information of the facility stored in the storage unit 17 of the recommended supply point information by the user of the automobile via the user management server 2. It can be provided to the user terminal 3 to be used.

Here, the recommended process for determining the recommended result of the facility to be used will be described.
FIG. 8 is a diagram for explaining a specific example of the recommended process in which the user facility recommendation unit 10 in the process S4 of FIG. 7 determines the recommended result of the user facility.

As shown in FIG. 8, the use facility recommendation unit 10 determines the recommended order (here, the recommended order) for each use facility (A, B, C) as the recommendation result of the use facility.
Here, as shown in FIG. 8, the facility recommendation unit 10 acquires information on the current position and the destination provided from the user terminal 3 of the traveling vehicle. In addition, the facility recommendation unit 10 acquires table information 80A, 80B, 80C for each facility (A, B, C) based on the usage statistical information for each facility, the current information, and the current traffic condition classification information. ..

The facility recommendation unit 10 uses, for example, the calculation result (evaluation value) of the relational expression “p (normalized break time) + q (normalized congestion frequency)” for each facility (A, B, C). Determine the recommended order (recommended order). Here, p and q are weighting coefficients, and are indexes indicating weights for rest time or congestion frequency (congestion status).
Here, the facility recommendation unit 10 sets the recommended order of the facility B to "1" based on the relative weighting of the congestion frequency (congestion status) because the traffic conditions in the surrounding area are favorable, and uses the following. The recommended order with the ranking is determined, with the recommended order of facility A being "2" and the recommended order of facility C being "3".

Here, the weighting coefficient (p, q) of the break time or the congestion frequency is set by the user, and the recommended order (recommended order) for each of the facilities used (A, B, C) is determined. It may be configured to execute. In this case, the weighting coefficient provided by the user terminal 3 is stored in the user setting pre-planning information storage unit 19 of the facility recommended server 1 as shown in FIG.

In this case, as an input method for the user to specify the weighting coefficient from the user terminal 3, the information shown in FIG. 8 is displayed on the display screen. The user operates the button 81 displayed on the display screen to input a weight for the break time or the congestion frequency (congestion status).

Further, FIG. 9 is a diagram showing another input method regarding the input of the weighting coefficient (p, q).
As shown in FIG. 9, the slide buttons 9A and 9B displayed on the display screen of the user terminal 3 may be operated. That is, the user operates the slide buttons 9A and 9B displayed on the display screen to input the weight coefficient for the break time or the congestion frequency (congestion status).

As described above, according to the present embodiment, it is appropriate for the user terminal operated by the user of the automobile traveling on the highway in consideration of the usage status (congestion status and break time) of the facility used and the traffic situation in the surrounding area. It is possible to provide recommended information that recommends the facility to be used in various situations. Here, as the recommended information, for example, it is possible to provide information indicating the recommended order in which the recommended order of a plurality of facilities is ranked. In this case, the process of determining the recommended order can be executed based on the user information such as the weighting coefficient set from the user terminal.
Therefore, the user of the automobile can easily select the facility to be used in an appropriate situation.

[Second Embodiment]
Next, the second embodiment will be described. This embodiment is an embodiment in which the user facility congestion information and the user facility break time information are received from each user facility, and the user facility is recommended based on this information.
FIG. 10 is a block diagram showing a configuration of the system according to the second embodiment.

In FIG. 10, the facility management server 4 is connected to communication equipment 31 installed in a plurality of use facilities (A, B, ... N) 30, and the entry and exit times and the number of admissions for each automobile from each use facility 30. And get information about the number of participants.
Here, the communication facility 31 is a roadside communication device such as an ITS spot (ETC2.0) provided at the entrance and exit of each facility 30. The communication equipment 31 can transmit images from surveillance cameras provided at the entrance and exit of each facility 30.

Further, in the present embodiment, the POS (Point of Sales) system 40 manages POS information (sales information) such as meals, product purchases, and refueling at each user facility 30. The POS system 40 has a database 41 that stores POS history information and a database 42 that stores congestion information of each facility 30 used.

Here, each facility 30 can provide the identification information of the vehicle unit that recognizes the license plate of the vehicle to the facility management server 4 via the communication facility 31 by the surveillance cameras provided at the entrance and the exit. The facility management server 4 can calculate the usage facility congestion information and the usage facility break time information by using the provided vehicle-based identification information.

The POS system 40 calculates the degree of congestion (congestion status) at the corresponding date and time in the register of each facility 30 based on the POS information from each facility 30, and stores the congestion information for each facility in the database 42. Can be accumulated. Therefore, the facility management server 4 can be used as the facility congestion information by acquiring the congestion information for each facility stored in the database 42 of the POS system 40.

Since the configurations other than the above-described configurations are the same as the configurations shown in FIG. 1, detailed description thereof will be omitted.
Further, since the configuration and operation of the facility recommended server 1 are the same as those in the first embodiment described above, detailed description thereof will be omitted.

In the present embodiment, the facility management server 4 has a frequency at the corresponding date and time based on the information on the number of entrances and the number of appearances provided from the plurality of use facilities (A, B, ... N) 30 via the communication equipment 31. (Congestion status) is calculated and stored in the storage unit 12 as usage facility congestion information. Further, the facility management server 4 is based on the information on the entry and exit times of each automobile provided from the plurality of facilities (A, B, ... N) 30 via the communication equipment 31, and the corresponding date and time is determined from the time difference. The average value of the rest time in the facility is calculated and stored in the storage unit 13 of the rest time information of the facility used.

As described above, also in the present embodiment, as in the first embodiment, the usage facility usage status (use facility usage status) for the user terminal operated by the user of the automobile traveling on the highway by the usage facility recommendation server 1. It is possible to provide recommended information that recommends the facility to be used in an appropriate situation considering the congestion situation and break time) and the surrounding traffic situation.

[Third Embodiment]
Next, the third embodiment will be described. The system of the present embodiment is an embodiment in which the target automobile is an EV vehicle or a hybrid vehicle, and the utilization facility recommendation unit 10 performs recommended processing for the utilization facility having the charging facility.
FIG. 11 is a block diagram showing the configuration of the system according to the third embodiment.
As shown in FIG. 11, the system of this embodiment has a weather information server 6 and a charger management server 50.
The charger management server 50 manages the charger (charging station) 60 installed in each facility. The charger management server 50 stores various information acquired when an automobile (denoted as an EV vehicle) charges using the charger 60 at each facility in the consumption history information database (consumption history information DB) 51. accumulate. As will be described later, the charger management server 50 provides the information accumulated in the consumption history information DB 51 to the facility recommended server 1.

When the EV vehicle is charged by the charger 60 at each facility, the charger management server 50 acquires the following information via the charger 60 and stores it in the consumption history information DB 51. That is, it is information such as a user ID of an EV vehicle, a travel date and time, a travel section, an energy consumption amount, a required time, a battery capacity, and a battery remaining amount.

The weather information server 6 provides the weather information (particularly the weather forecast information including the temperature) for each traveling section to the facility recommendation server 1. Since the other configurations are the same as the configurations shown in FIG. 1 described above, detailed description thereof will be omitted.

Next, the operation of this embodiment will be described.
First, since the process of creating the usage status classification unit 11 of the facility recommended server 1 is the same as the process described above with reference to the flowchart of FIG. 6, detailed description thereof will be omitted.

Next, the recommended processing of the facility recommendation unit 10 of the facility recommendation server 1 will be described.
FIG. 12 is a flowchart for explaining the recommended processing of the facility recommendation unit 10 of the facility recommendation server 1 of the present embodiment. Hereinafter, for convenience, the recommended processing of the facility recommendation unit 10 will be described as the operation of the facility recommendation server 1.

As shown in FIG. 12, in the process S30, the facility recommendation server 1 (facility recommendation unit 10) acquires information on the congestion status, break time, and traffic status of each facility.
Here, as the congestion status for each facility used, the waiting time of the charger 60 estimated by the charger management server 50 may be used.
As described above, the congestion status can be classified into medium (slightly crowded state), large (crowded state), and vacant (vacant state).

Further, the user facility recommendation server 1 (use facility recommendation unit 10) acquires the current information of the EV vehicle from the storage unit 15 via the user management server 2 here. The current information of the EV vehicle is information provided from the user terminal 3 of the EV vehicle, and is the estimated energy consumption for each time, current position, destination, and facility used. The predicted energy consumption is calculated by the user management server 2 using a model from the current information and weather information of the EV vehicle (see FIG. 11).

In the process S31, the facility recommendation server 1 (facility recommendation unit 10) calculates the reachable distance of the EV vehicle from the energy consumption included in the current information of the EV vehicle. Specifically, the facility recommended server 1 uses the power consumption model, the temperature (average temperature) information provided by the weather information server 6, and the traffic condition information (tracan information) provided by the traffic control server 5. Based on this, the reachable distance of the EV vehicle is calculated. Here, the Trakan information is a running average speed value related to a traffic jam condition on the road.

In the process S32, the facility recommendation server 1 (facility recommendation unit 10) determines the reachable facilities (A, B, C) from the calculation result of the reachable distance of the EV vehicle and the current position of the EV vehicle. ..
In the process S33, the facility recommendation server 1 (facility recommendation unit 10) acquires the average value of the congestion status for each reachable facility (the average value of the waiting time of the charger 60).
Further, in the process S34, the facility recommendation server 1 (facility recommendation unit 10) acquires the average value of the rest time for each reachable facility.
Here, for the break time for each facility, the facility recommendation server 1 uses the usage history information of the charger 60 provided by the charger management server 50 and the tracan information provided by the traffic control server 5. Calculate (estimate) the break time for each facility used. That is, the facility recommended server 1 calculates the break time based on the required time calculated using the usage history information of the charger 60 and the required time calculated using the tracan information (hereinafter referred to as the tracan required time). .. The specific calculation method of the break time will be described later.
Here, the method for calculating the time required for Tracan may be, for example, the method described in Japanese Patent No. 3708734, Japanese Patent No. 3563629, or Japanese Patent No. 3529663.

Next, in the process S35, the facility recommendation server 1 (use facility recommendation unit 10) evaluates the usage status of each facility in the current traffic status classification using the information acquired by the process S33 and the process S34. Calculate the value. As described above, the current traffic condition classification information is information indicating the current driving condition (congestion or smoothness) on the roads around each facility.
In the process S36, the user facility recommendation server 1 (use facility recommendation unit 10) executes the recommended process of determining the recommended result of the user facility based on the calculated evaluation value as described above. Details of the recommended process for determining the recommended result of the facility to be used will be described later with reference to FIG.
In the process S37, the facility recommendation server 1 (facility recommendation unit 10) uses the user terminal 3 in which the EV vehicle user operates the recommended information of the facility including the recommended location of the facility via the user management server 2. To provide.

Here, the process of acquiring the average value of the rest time for each reachable facility in the process S34 of FIG. 12 will be described in detail.
FIG. 13 is a diagram for explaining a specific example of a method of calculating (estimating) the rest time for each facility that can be reached by the facility recommendation server 1.

As shown in FIG. 13, the user facility recommended server 1 starts the second charge from the first charge end time at a certain user facility based on the usage history information of the charger 60 provided from the charger management server 50. The period up to the time is the total of the required time and rest time estimated from the Tracan data. Here, the facility-use recommended server 1 acquires the usage history information of the charger 60 from the information stored in the consumption history information DB 51 by the charger management server 50.

First, a method of calculating the time required for Trakan will be described with reference to FIG.
First, as shown in the flowchart of FIG. 14, in the process S40, the facility recommended server 1 acquires the trakan information.
Here, FIG. 15 is a diagram for explaining Tracan information. As shown in FIG. 15, the tracan information is matrix information in which time (time) is a row and distance is a column, and cell elements indicate speed.

Returning to FIG. 14, in the process S41, the facility recommended server 1 uses the same EV vehicle at the first charging end time (corresponding to the departure time of the facility), the location (position of the facility), and the next. Information on the second charging start time and location (location of the facility used) is acquired from the usage history information of the charger 60.
In the process S42, the facility recommendation server 1 sets the initial condition (departure time i) and the end condition. Here, the departure time i corresponds to the first charging end time, as described above. The end condition is until the estimated arrival time estimated by the tracking time sum algorithm reaches the next second charging start time.

In the process S43, the facility recommendation server 1 calculates the required time (tracan required time) from the departure time i to the arrival at the second charging start time by the tracking time sum algorithm. Here, a detailed calculation method of the required time (tracan required time) will be described later with reference to FIG.

In the process S44, the facility recommendation server 1 stores the calculated time required for the trakan in the memory.
In the process S45, the facility recommended server 1 adds 5 minutes (i = i + 5) to the departure time i.
In the process S46, the process S43 and the process S44 are repeated until the added departure time i becomes the end time (in the case of NO in the process S46).
On the other hand, if YES in the process S46, the process proceeds to the process S47, and when the end condition is satisfied, the facility recommended server 1 reads out the time required for the trakan of each departure time i stored in the memory and calculates the average value. Calculate and calculate this average value as the time required for Trakan.

Further, FIG. 16 is a flowchart for specifically explaining a method of calculating the time required for trakan by the tracking time sum algorithm in the process S43 of FIG.
In the process S50 of FIG. 16, the facility recommended server 1 uses the acquired trakan information as an initial condition (departure time p, first charging place q) and an end condition (arrival time a, second charging place b). To set.
Here, FIG. 17 is a diagram for explaining a method of calculating the time required for Tracan.
Here, as shown in FIG. 17, from the Tracan information (see FIG. 15), the cell corresponding to the departure time and place is set as the cell in the p-row and q-th column.

Returning to FIG. 16, in the process S51, the facility recommendation server 1 calculates the distance d from the speed in the cell in the p-row and q-th column and the time interval between q and q + 1-th column.
In the process S52, the facility recommendation server 1 updates to "p = p + 1" in the process S53 when the distance interval between the p line and the p + 1 line becomes larger than the distance d (when YES in the process S52).
Then, in the process S54, the time t is calculated from the distance interval between p and the p + 1th line.

In the process S55, the facility recommendation server 1 updates to "q = q + 1" in the process S56 when the time interval between the qth line and the q + 1 line becomes larger than the time t (when YES in the process S55).
That is, as shown in FIG. 17, in the matrix (pq), the speed is changed for each passing distance and time, and p and q are updated.

In the process S57, the facility recommendation server 1 determines whether or not the end condition "q> = a" is satisfied as a result of updating p and q.
Here, FIG. 18 is a diagram showing a state (in the case of NO in process S57) in which the second charging place (that is, the second charging time) has not been reached.

Returning to FIG. 16, when the end condition “q> = a” is satisfied in the process S57 (when YES in the process S57), the difference between the departure time and the time p in the b-th column is required in the process S58. Calculated as time. Here, the end condition is the second charging place.
Here, FIG. 19 is a diagram showing a state in which the second charging place (that is, the second charging time) has been reached. Note that FIG. 19 shows a case where the departure time is shifted, assuming that the vehicle departs after a 5-minute break after charging is completed.

Returning to FIG. 16, in the process S57, when the end condition is satisfied (YES in the process S57), the user facility recommended server 1 calculates the average value of the trakan required time of each departure time stored in the memory. Calculated as time. That is, the facility recommended server 1 repeats the calculation process of the required time for Tracan n times and stores it in the memory until the required time calculated at the second charging time is reached.
Further, the facility recommended server 1 uses the calculation result of the unreached trakan required time (tracking time sum 1) as shown in FIG. 18 to obtain the reached tracan required time (tracking time sum n) as shown in FIG. Performs the averaging of the calculation results.

Further, the facility recommended server 1 calculates (estimates) the break time by using the charging interval time from the usage history information of the charger 60. Here, the charging interval time is the time from the charging end date and time of the EV vehicle user who used the charger 60 before when the EV vehicle user uses the charger 60 in the same facility. It is an index showing whether or not it has passed. Generally, when the charging interval time is short, it is highly possible that the user of the previous charger 60 has been charging and has been waiting. This makes it possible to predict the waiting time for the EV vehicle user to use the charger 60.

Hereinafter, a specific example of the method of calculating (estimating) the break time will be described.
For example, if the first charging interval time is within 10 minutes and the second charging interval time is longer than 10 minutes, the facility recommended server 1 will be EV only at the first charging location (utilization facility). It can be determined that the waiting time of the car user has occurred. Therefore, the user facility recommended server 1 determines that a long break time has occurred at the first charging place (use facility).
Therefore, the facility recommended server 1 determines the calculation start cell of the tracan required time at the time of the first charging end date and time in the above-described tracan required time calculation method.

Further, for example, when the first charging interval time is longer than 10 minutes and the second charging interval time is within 10 minutes, the user facility recommended server 1 is used only at the second charging place (user facility). , It can be determined that the waiting time of the EV vehicle user has occurred. Therefore, the user facility recommended server 1 determines that a long break time has occurred at the second charging place (use facility).
Therefore, in the facility recommended server 1 used, in the above-mentioned method for calculating the time required for Tracan, the cell for calculating the time required for Tracan is set as the last cell for calculating the time required for Trakan at the time of the second charging start date and time. Decide to come.

Further, for example, when the first charging interval time is longer than 10 minutes and the second charging interval time is also longer than 10 minutes, the user facility recommended server 1 uses only the charging interval time as the first charging location. It is not possible to determine whether the person took a break at the (use facility) or the second charging place (use facility). In this case, since the charging time by the charger 60 generally takes about 30 minutes, it can be assumed that there are few EV vehicle users who take a break before starting charging.
Therefore, the user facility recommended server 1 determines that a long break time has occurred at the first charging place (user facility), and in the above-mentioned method for calculating the time required for Trakan, the calculation start cell is charged for the first time. Determined at the time of the date and time.

Furthermore, for example, when the first charge interval time is within 10 minutes and the second charge interval time is also within 10 minutes, the user facility recommended server 1 charges the first charge only with the charge interval time. It is not possible to determine whether the person took a break at the place (use facility) or the second charging place (use facility).
Therefore, the facility-use recommended server 1 sets a date and time between the first charging end date and time and the second charging start date and time in the calculation start cell in the above-mentioned method for calculating the time required for trakan.

Next, a specific example of the recommended process of providing the recommended information of the facility to be used to the user terminal 3 of the EV vehicle in the process S36 of FIG. 12 will be described.

The user facility recommendation server 1 provides, for example, recommended information for recommending the user facility B to the user terminal 3 of the EV vehicle in the plurality of user facilities (A, B ... N) as shown in FIG. do.

FIG. 20 is a flowchart for explaining a specific example of the recommended process.
As shown in the flowchart of FIG. 20, in the process S60, the facility recommendation server 1 calculates the same time sum travel time (total traveling time) track of the EV vehicle based on the tracan information shown in FIG.
Here, FIG. 21 is a diagram for explaining a specific example of the recommended processing of the facility used in the same embodiment.
As shown in FIG. 21, the use facility recommendation server 1 acquires, for example, trakan information of 3 km around the use facility A in real time from the traffic control server 5. In FIG. 21, "Vtra" means the velocity in the cell.
Returning to FIG. 20, in the process S61, the facility recommended server 1 calculates the average speed Vi “Vi = distance Di / track”. Here, the distance Di is the total distance of, for example, 3 km around the facility A shown in FIG. 21.
Next, in the process S62, the user facility recommendation server 1 obtains traffic condition information (traffic jam, smooth) that classifies the traffic conditions around the user facility A based on the calculated average speed Vi.

In the process S63, the facility recommendation server 1 outputs the recommended information 100 as shown in FIG. 22 by executing the above recommended process for each facility.
Here, FIG. 22 is a diagram showing an example of recommended information for explaining a specific example of the recommended process.
As a result, the user facility recommendation server 1 can provide recommended information including the recommended location of the user facility B to the user terminal 3 operated by the user of the EV vehicle via the user management server 2.

FIG. 23 is a diagram showing an example of the display form of the display screen of the user terminal 3.
As shown in FIG. 23, the user terminal 3 sets the use facility B to each reachable use facility (A, B, C) based on the recommended information supplied from the use facility recommendation server 1. Information 130 indicating that it is recommended is displayed and output on the display screen. In this case, based on the recommended information supplied from the facility recommended server 1, as described above with reference to FIG. 8, the display form showing the recommended order (recommended order) for each of the facilities A, B, and C is also available. good.

As shown in FIG. 23, the user terminal 3 uses the facility recommended server 1 for each of the facilities A, B, and C from the current position of the EV vehicle based on the information provided by the charger management server 50. The mileage and the estimated remaining charge of the EV vehicle may be displayed and output on the display screen. Further, the user terminal 3 may display and output the road image 131 of the traveling section in which the EV vehicle is scheduled to travel and the image 132 indicating the congestion level on the display screen.
Here, the display form shown in FIG. 23 is an example, and various display forms are possible. Further, the display screen shown in FIG. 23 may be not only the user terminal 3 but also a display device included in an in-vehicle device such as a car navigation system mounted on an EV vehicle.

As described above, also in the present embodiment, as in the first embodiment, the use facility is used for the user terminal 3 operated by the user of the EV vehicle traveling on the highway by the use facility recommendation server 1. It is possible to provide recommended information that recommends the facility to be used in an appropriate situation considering the situation (congestion situation and break time) and the surrounding traffic situation.

In the third embodiment, when the target is an EV vehicle, the charging time of the EV vehicle is included as the rest time of the user of the EV vehicle, as described above. Therefore, in the facility used, the distribution of the break time in the same time zone can be shown by combining the charging time of the EV vehicle user and the break time of the general user as the information indicating the congestion status.

In each of the first to third embodiments, the facility recommended server 1 has been described as an external system of an automobile such as an EV vehicle, but the present invention is not limited to this, and the car navigation system mounted on the EV vehicle or the like is not limited to this. It can be applied even when it is incorporated in the in-vehicle device of.
In this case, the facility recommended server 1 may be configured to exchange information with a facility management server or a traffic control server via wireless communication equipment such as an ITS spot (ETC2.0).

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are also included in the scope of the invention described in the claims and the equivalent scope thereof.

1 ... Facility recommended server, 2 ... User management server, 3 ... User terminal, 4 ... Facility management server, 5 ... Traffic control server, 6 ... Weather information server, 10 ... Facility recommended department, 11 ... Usage status classification department, 50 ... Charger management server, 60 ... Charger.

Claims (14)

For multiple facilities installed on the road, using information on the entry and exit times, number of entries and number of entries for each vehicle transmitted from the information and communication means installed at the entrance and exit of each facility, Facility management means for acquiring information on congestion status and usage time for each facility,
The facility congestion information storage means for storing congestion information including the congestion status and usage time for each facility acquired by the facility management means, and the facility congestion information storage means.
A traffic condition classification information storage means for storing information on the surrounding traffic conditions for each facility used, which is received from the traffic control server, and a means for storing the traffic condition classification information.
Based on the current traffic condition information, the congestion information for each user facility stored in the user facility congestion information storage means and the surrounding traffic conditions for each user facility stored in the traffic condition classification information storage means. Using the information in, the facility recommended means to execute the usage recommendation processing for each facility from the current position of the vehicle, and
An automobile use facility recommendation device including an information providing means for providing recommended information of a use facility based on the use recommendation process. The recommended means of using the facility is
Based on the current information including the current position and destination of the automobile and the current traffic condition information, the congestion information for each user facility and the traffic condition classification information storage means stored in the user facility congestion information storage means. It has a means for calculating the evaluation value of the usage status of each usage facility in the current traffic status by using the information of the surrounding traffic status for each usage facility stored in.
The vehicle usage facility recommendation device according to claim 1, wherein the usage recommendation process for determining the usage recommendation order of each usage facility from the current position of the vehicle is executed based on the calculated evaluation value. The recommended means of using the facility is
1 Alternatively, the device recommended for use facilities of automobiles according to claim 2. The information regarding the weighting is input by a button indicating at least "vacant" and "congested" for the congestion status displayed on the terminal device of the user, and is at least "long" for the usage time. The device recommended for automobile use facilities according to claim 3, which is input by a button meaning "short" and "short". The information regarding the weighting is input by a slide button displayed on the terminal device of the user and sliding between one meaning "vacant" and the other meaning "congestion" for the congestion situation. The vehicle usage facility recommended device according to claim 3, which is input by a slide button that slides between one meaning "long" and the other meaning "short" with respect to the usage time. The facility management means is
The vehicle usage facility recommended device according to any one of claims 1 to 5, which acquires information on the congestion status and usage time from a POS management means that manages POS information of each usage facility. The usage facility recommended means is the congestion information for each usage facility and the traffic status classification information stored in the usage facility congestion information storage means based on the current traffic condition information and the information on the energy consumption of the electric vehicle. Using the information on the surrounding traffic conditions for each facility stored in the storage means, the usage recommendation process for each facility is executed, and the usage recommendation process is executed.
The vehicle according to any one of claims 1 to 6, wherein the information providing means provides recommended information of the facility to be used based on the recommended process of using the facility to be used to the terminal device of the electric vehicle. Recommended equipment for facilities. The recommended means of using the facility is
A means for calculating the reachable distance of the electric vehicle based on the current traffic condition information and the information on the energy consumption of the electric vehicle, and
Means for determining the facilities that the electric vehicle can reach using the current information including the reachable distance of the electric vehicle and the current position and destination of the electric vehicle.
A means for obtaining the average value of the congestion status for each reachable facility, and
It has a means for obtaining the average value of the usage time for each reachable facility.
Using the average value of the congestion status for each reachable facility and the average value of the usage time for each reachable facility, the usage recommendation process for each reachable facility in the current traffic situation is performed. The vehicle use facility recommended device according to claim 7. The average value of the usage time for each reachable facility is
The second charge corresponding to the next charge from the usage time of the charger in the first use facility of the same electric vehicle calculated by using the usage history information of the charger for each use facility received from the charger management server. The time required to use the charger at the facility you are using, and
The time required for the tracan calculated by using the tracan information between the first use facility and the second use facility received from the traffic control server, and is the time required for the trakan of the charger in the first use facility. Based on the average value of the required time for each tracan calculated when the departure time is delayed by a certain period of time, with the end time of use as the departure time and the start time of use of the charger at the second facility as the arrival time. The device recommended for use facilities of an automobile according to claim 8 to be calculated. The time required for the trakan is the time divided into n by the fixed time from the departure time to the arrival time, and the distance divided into n from the location of the first utilization facility to the location of the second utilization facility. The column is the matrix information in which the element of each cell separated by the row and the column is the speed, and the first row and the first column are the cells corresponding to the departure time of the first facility, and n rows. The vehicle usage facility recommended device according to claim 9, wherein the nth column is a cell corresponding to the arrival time of the second usage facility, which is calculated based on matrix information. The recommended means of using the facility is
A means for calculating the average speed of a vehicle corresponding to a certain distance before and after each user facility based on the trakan information within a certain distance before and after each reachable facility received from a traffic control server.
A means for classifying the current traffic conditions around each facility based on the calculated average speed of the vehicle corresponding to a certain distance in front of and behind each facility.
The vehicle usage facility recommendation device according to claim 8, further comprising a means for executing usage recommendation processing for each usage facility using the current traffic conditions around each usage facility. The information providing means provides congestion information for each facility, recommended information including the mileage from the current position of the electric vehicle and the predicted remaining charge of the electric vehicle, as well as a road image from the current position of the electric vehicle and recommended information. The vehicle use facility recommended device according to claim 7, which includes a means for displaying on the terminal device of the electric vehicle together with an image of the congestion level corresponding to the current traffic condition. It is a recommended method for using a car using a computer system.
By the computer system
For multiple facilities installed on the road, using information on the entry and exit times, number of entries and number of entries for each vehicle transmitted from the information and communication means installed at the entrance and exit of each facility, Obtain information on congestion status and usage time for each facility,
Congestion information including the congestion status and usage time for each facility used is stored in the facility congestion information storage means.
The information on the surrounding traffic conditions for each facility used, which is received from the traffic control server, is stored in the traffic condition classification information storage means.
Based on the current traffic condition information, the congestion information for each user facility stored in the user facility congestion information storage means and the surrounding traffic conditions for each user facility stored in the traffic condition classification information storage means. Using the information in, execute the usage recommendation processing for each facility from the current position of the car,
A method of recommending a facility for use in an automobile so as to provide recommended information of the facility for use based on the recommended process for use to the terminal device of the automobile. The usage recommendation process stores the congestion information for each usage facility and the traffic status classification information stored in the usage facility congestion information storage means based on the current traffic condition information and the information on the energy consumption of the electric vehicle. The method for recommending an automobile use facility according to claim 13, wherein the use recommendation process for each use facility is executed using the information on the surrounding traffic conditions for each use facility stored in the means.

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