KR102161456B1 - Driver and Passenger Matching System for Mobility Service, and Method Thereof - Google Patents

Abstract

The present invention relates to a system and method for mutual matching between drivers and passengers in a mobility service, and more particularly, by predicting the status of drivers at a future point in time, the driver and passengers in a mobility service requested for a reservation at a future point in time are predicted. It relates to a system and a method for mutual matching of drivers and passengers in a mobility service capable of performing matching more smoothly.

Description

Driver and Passenger Matching System for Mobility Service, and Method Thereof}

The present invention relates to a system and method for mutual matching between drivers and passengers in a mobility service, and more particularly, by predicting the status of drivers at a future point in time, the driver and passengers in a mobility service requested for a reservation at a future point in time are predicted. It relates to a system and a method for mutual matching of drivers and passengers in a mobility service capable of performing matching more smoothly.

In app-based taxi services such as Kakao Taxi, when a passenger transmits destination information along with his/her location information to the service server from an application running on his/her mobile terminal, the service server sends the driver's mobile terminal located near the location information. This is a method of transmitting the information to the application and matching the passenger with the driver according to the response received from the driver's mobile terminal.

However, in this method, since only the location information of the current driver and the mobility service request information of the current user are considered, the passenger has to wait a considerable amount of time before matching with the driver when there are no drivers nearby.

In addition, in the existing app-based taxi service, drivers generally do not receive call information (passenger's operation request information) while driving, so it takes time to find a passenger again after driving, and therefore, a significant number of working hours There was a problem that it had to be spent for waiting for passengers or searching for passengers.

On the other hand, Korean Patent Laid-Open Publication No. 10-2018-0051452 discloses a technology for collecting demand for future taxi passengers and transmitting it to a taxi terminal when it is determined that the collected demand exceeds a preset number.

However, this has a problem in that it does not take into account the current status of taxis at a future point in time, and merely informs taxi drivers of points in advance to find passengers.

Korean Patent Publication 10-2018-0051452 (published on May 16, 2018)

An object of the present invention is a mutual matching system between drivers and passengers in a mobility service capable of predicting the current status of drivers at a future point in time and more smoothly matching drivers and passengers in a mobility service requested for a reservation at a future point in time , And to provide a method.

In order to solve the above problems, an embodiment of the present invention is a method for mutual matching between a driver and a passenger in a mobility service performed in a service server associated with an application executed in a driver's terminal and an application executed in a passenger terminal. An article information collection step of collecting article information including driving information of the driver from the terminal; An hourly article information deriving step of deriving predicted location information of a future article from the article information; A passenger schedule receiving step of receiving passenger schedule information including departure time information, departure location information, and arrival location information from the passenger terminal; And an driver matching step of performing matching between the passenger and the driver based on the passenger schedule information and the predicted position information of the future driver. It provides a method for mutual matching between a driver and a passenger in a mobility service.

In some embodiments of the present invention, the article information may include a destination of the article and an estimated time of arrival at the destination, or a destination and a current location of the article.

In some embodiments of the present invention, the step of deriving hourly article information may predict the future of an article at a plurality of points in time or in a plurality of time intervals based on the destination of the article derived or extracted from the article information and the estimated arrival time at the destination. Location information can be derived.

In some embodiments of the present invention, the step of matching the driver includes: (a) a preliminary article that is a driver that meets the conditions derived from the passenger’s departure time information and the departure location information from the predicted location information of the future driver. Deriving; (b) transmitting information on the preliminary driver to a passenger terminal; (c) receiving information on a selected driver, which is a driver selected from among the reserve drivers, from the passenger terminal; (d) transmitting reservation information to the driver's terminal of the selected driver.

In some embodiments of the present invention, the step (a) includes: a first step of deriving a candidate preliminary article that is an article meeting a preset condition based on predicted position information of the future article; A second step of deriving the predicted arrival time of the departure point of the passenger of the candidate reserve driver based on information including the location information of the destination of the candidate reserve driver, the expected arrival time of the destination, and the departure location information of the passenger; It may include a third step of determining whether the predicted arrival time corresponds to the departure time information of the passenger, and, if it does, determining a corresponding candidate preliminary driver as a preliminary driver.

In some embodiments of the present invention, the preset condition in the first step may include whether the destination of the driver is within a preset range from the departure position of the passenger in a future time section according to the departure time information. have.

In some embodiments of the present invention, in the second step, the predicted arrival time of the departure point of the passenger of the candidate reserve driver may be derived by considering the destination of the candidate reserve driver and traffic information around the passenger's departure point.

In some embodiments of the present invention, steps (a) and (b) are automatically and repeatedly performed before step (c) is performed, so that a plurality of preliminary drivers are performed after receiving passenger schedule information from a passenger terminal. Information can be transmitted to the passenger terminal.

In some embodiments of the present invention, when the preliminary article cannot be derived in step (a), determining whether the current time is within a preset range from the passenger's desired departure time; Receiving from the passenger terminal whether to select a definite dispatch; Transmitting definite dispatch information to a driver terminal meeting a preset criterion; Receiving a response to the definite assignment from the driver's terminal; And it is possible to perform a non-matching notification step including; transmitting the information about the result of the confirmed dispatch to the passenger terminal.

In some embodiments of the present invention, the article information collection step includes a destination and a destination arrival time manually input by the driver in a service application in the driver's terminal; Alternatively, the destination and destination arrival time automatically extracted from the navigation application or the App Taxi application executed in the driver's terminal can be collected.

In order to solve the above problems, in one embodiment of the present invention, as a mutual matching system between a driver and a passenger including an application executed in the driver's terminal and a service server associated with the application executed in the passenger terminal, the driver from the driver's terminal An article information collection unit that collects article information including current operation information of the vehicle; An hourly article information derivation unit for deriving predicted position information of a future article from the article information; A passenger schedule receiving unit for receiving passenger schedule information including departure time information, departure location information, and arrival location information from the passenger terminal; And an article matching unit that performs matching between the passenger and the driver on the basis of the passenger schedule information and the predicted position information of the future driver.

According to an embodiment of the present invention, by predicting the current status of a driver at a future point in time, it is possible to achieve an effect of more smoothly performing matching between a driver and a passenger in a mobility service requested for a reservation at a future point in time.

According to an embodiment of the present invention, unlike the App Taxi, in which the dispatching proceeds only when a vacant taxi exists at the same time/region called by the passenger, the present invention determines the time and region of the passenger's departure in advance even if there is no vacant taxi nearby After setting, if the schedule information of the article that satisfies the condition is uploaded to the server, it is possible to exert the effect of increasing the probability of dispatch by presenting the driver/vehicle arrival information to the customer in advance immediately.

According to an embodiment of the present invention, unlike the existing App Taxi service in which a call again must be repeatedly pressed if there is no empty taxi available for immediate dispatch in the vicinity, in the present invention, when a passenger sets a departure point/point, it is in a similar time zone. When information about available articles is uploaded to the server, notification information is received, and when information about arrival of several articles is uploaded, it is possible to select the desired article.

According to an embodiment of the present invention, since passengers and drivers exchange arrival/boarding schedule information at a future point in the past time and time adjustments are possible with each other accordingly, the reservation fee is set not to be high, and the vehicle is dispatched efficiently during times when there is insufficient vehicle. And it can exert the effect of being able to proceed with boarding reservation.

According to an embodiment of the present invention, in order for the driver to be dispatched at a specific time desired by the passenger, the passenger must pay the reservation fee to compensate for the time the driver gives up business, whereas the departure time is flexible. If the dispatch is carried out, the driver and the passenger are matched within the correct time range, so that the effect of receiving reservation/matching at a lower cost can be exhibited.

According to an embodiment of the present invention, the driver calculates the arrival time of the destination and the possible departure time from the destination to the next destination based on the moving route of the call currently being performed, and the server can automatically reserve the next call in advance. After searching for a customer to board at, it is possible to exert the effect of making a reservation by suggesting boarding to the target customer first.

According to an embodiment of the present invention, the driver can sequentially automatically schedule subsequent call reservations based on the dispatch information previously reserved by the automatic scheduling function from the next call after the first call, and save time spent on call selection. And increase profits.

1 schematically shows the overall configuration of a system for matching driver and passenger according to an embodiment of the present invention.
2 schematically shows the internal configuration of a service server according to an embodiment of the present invention.
3 schematically shows the operation of the article information collection unit according to an embodiment of the present invention.
4 schematically shows an example of predicted positions of articles by time performed by the hourly article information deriving unit according to an embodiment of the present invention.
5 schematically shows the steps of performing an article matching unit according to an embodiment of the present invention.
6 schematically shows detailed steps of step S10 of FIG. 5.
7 schematically shows an example of a step of deriving a candidate preliminary article.
8 conceptually shows an example of the operation of detailed steps of step S10 of FIG. 5.
9 schematically shows detailed steps of a mismatch notification unit according to an embodiment of the present invention.
10 schematically shows embodiments of an internal configuration in which article information is collected in an article terminal according to an embodiment of the present invention.
11 schematically shows a display screen in a passenger terminal according to collection of driver information from the driver's terminal according to an embodiment of the present invention.
12 exemplarily shows an internal configuration of a computing device according to an embodiment of the present invention.

In the following, various embodiments and/or aspects are now disclosed with reference to the drawings. In the following description, for purposes of explanation, a number of specific details are disclosed to aid in an overall understanding of one or more aspects. However, it will also be appreciated by those of ordinary skill in the art that this aspect(s) may be practiced without these specific details. The following description and the annexed drawings set forth in detail certain illustrative aspects of one or more aspects. However, these aspects are exemplary and some of the various methods in the principles of the various aspects may be used, and the descriptions described are intended to include all such aspects and their equivalents.

Further, various aspects and features will be presented by a system that may include multiple devices, components and/or modules, and the like. It is also noted that various systems may include additional devices, components and/or modules, and/or may not include all of the devices, components, modules, etc. discussed in connection with the figures. It must be understood and recognized.

As used herein, “an embodiment,” “example,” “aspect,” “example,” and the like may not be construed as having any aspect or design described as being better or advantageous than other aspects or designs. . The terms'~part','component','module','system', and'interface' used below generally mean a computer-related entity, for example, hardware, hardware It can mean a combination of software and software, or software.

In addition, the terms "comprising" and/or "comprising" mean that the corresponding feature and/or element is present, but excludes the presence or addition of one or more other features, elements, and/or groups thereof. It should be understood as not.

In addition, terms including ordinal numbers such as first and second may be used to describe various elements, but the elements are not limited by the terms. These terms are used only for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element. The term and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

In addition, in the embodiments of the present invention, unless otherwise defined, all terms used herein including technical or scientific terms are commonly understood by those of ordinary skill in the art to which the present invention belongs. It has the same meaning as. Terms as defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless explicitly defined in the embodiments of the present invention, an ideal or excessively formal meaning Is not interpreted as.

1 schematically shows the overall configuration of a system for matching driver and passenger according to an embodiment of the present invention.

The driver and passenger mutual matching system of the present invention can be applied to a proxy driver, an app-based taxi, an app-based carpool, an app-based limousine, a luxury van, a call van service, a parcel service, and a logistics service.

At least one application is installed in the driver's terminal to provide an interface for transmitting and receiving data with the service server 1000, transmitting current or previous driving information of the driver to the service server 1000, and performing mutual matching.

In one embodiment of the present invention, the driver terminal may have an application that transmits driving information of the driver to the service server 1000 and an application that provides an interface for performing mutual matching, respectively, or performing mutual matching. An application that provides an interface may provide the driver's driving information to the service server 1000.

Such a driver's terminal may correspond to a computing device having at least one processor and at least one memory capable of wireless communication such as a smart phone, an app taxi dedicated terminal, and a tablet.

The service server 1000 corresponds to a server for performing mutual matching between a driver and a passenger. The service server 1000 may additionally perform functions such as calculating fees and inputting evaluations for drivers, as well as mutual matching between drivers and passengers. The service server 1000 receives an input of a driver and a passenger through an application of the driver's terminal and the passenger's terminal, and performs mutual matching between the driver and the passenger accordingly.

The configuration of the service server 1000 will be described later.

The passenger terminal may correspond to a computing device having at least one processor and at least one memory capable of wireless communication such as a smartphone or tablet, and an application that transmits and receives data to and from the service server 1000 and provides a service interface to the user. Installed.

Through the application, the user may input a departure point, departure time information, and destination at a future point in time, and a selection for an article list derived from the service server 1000.

The external service server 1000 may correspond to a server related to an existing App Taxi application, or a server that receives location and operation information from the passenger terminal or driver's terminal. In another embodiment of the present invention, operation information of a driver's terminal, departure location, destination, and departure time information of a passenger terminal may be received from the external service server 1000.

Alternatively, the external service server 1000 may correspond to a server that directly or indirectly performs financial processing for expenses incurred in mobility services between drivers and passengers.

2 schematically shows the internal configuration of the service server 1000 according to an embodiment of the present invention.

The service server 1000 according to the above embodiment may be implemented by a computing device having at least one processor and at least one memory.

Such a computing device may include a processor, a bus (corresponding to a double arrow between a processor, a memory, and a network interface), a network interface, and a memory. In the memory, article information, hourly article information, passenger schedule, matching information, program routine, operating system, etc. are stored.

The processor includes an article information collection unit 1100, an hourly article information extraction unit 1200, a passenger schedule receiving unit 1300, an article matching unit 1410 included in the passenger reservation management unit 1400, and a non-matching notification unit 1420. Can be executed. In other embodiments, the automated computing device may include more components than the components of FIG. 2.

The memory is a computer-readable recording medium and may include a permanent mass storage device such as a random access memory (RAM), a read only memory (ROM), and a disk drive. These software components may be loaded from a computer-readable recording medium separate from the memory using a drive mechanism (not shown). Such a separate computer-readable recording medium may include a computer-readable recording medium (not shown) such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, or a memory card. In another embodiment, software components may be loaded into the memory through a network interface rather than a computer-readable recording medium.

The bus may enable communication and data transfer between components of a computing device. The bus may be configured using a high-speed serial bus, a parallel bus, a storage area network (SAN) and/or other suitable communication technology.

The network interface may be a computer hardware component for connecting a computing device to a computer network. The network interface can connect an automated computing device to a computer network through a wireless or wired connection.

The processor may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations that implement an automated computing device. Instructions may be provided to the processor by means of a memory or network interface and via a bus.

The processor includes an article information collection unit 1100, an hourly article information extraction unit 1200, a passenger schedule receiving unit 1300, an article matching unit 1410 included in the passenger reservation management unit 1400, and a non-matching notification unit 1420 It can be configured to execute program code for. Such program codes may be stored in a recording device such as a memory.

The article information collection unit 1100, the hourly article information extraction unit 1200, the passenger schedule receiving unit 1300, the article matching unit 1410 included in the passenger reservation management unit 1400, and the non-matching notification unit 1420 It may be configured to perform the service server 1000 to be described below. In the processor described above, some components may be omitted, additional components (not shown) may be further included, or two or more components may be combined depending on the embodiment and service type of the service server 1000.

A method of mutual matching between a driver and a passenger in a mobility service according to the present invention is performed in a service server 1000 associated with an application executed in the driver's terminal and an application executed in the passenger terminal.

The service server 1000 includes an article information collection unit 1100 for collecting article information including driving information of an article from an article terminal; An hourly article information derivation unit 1200 for deriving predicted location information of a future article from the article information; A passenger schedule receiving unit 1300 for receiving passenger schedule information including departure time information, departure location information, and arrival location information from the passenger terminal; An article matching unit 1410 that performs matching between a passenger and a driver based on the passenger schedule information and the predicted position information of the future driver; And a non-matching notification in which the driver matching unit 1410 notifies the driver if the driver cannot be matched or searched within a preset range from the departure time of the passenger, requests a response to the user for a confirmed dispatch, and performs the confirmed dispatch process. Includes part 1420.

Hereinafter, components of the service server 1000 will be described.

3 schematically shows the operation of the article information collection unit 1100 according to an embodiment of the present invention.

The article information collection unit 1100 collects article information from a driver terminal or an external service server, and a passenger reservation management unit 1400.

In the article terminal, article information may be automatically collected by an application to be executed, or article information may be collected according to a manual input of an article.

Meanwhile, the external service server 1000 may correspond to a server that performs matching with another App Taxi service or a server that collects information related to the driver's operation, for example, a destination, a current location, etc. from a driver's terminal. .

In addition, the article information collection unit 1100 may collect article information including driving information of future drivers by general matching in the passenger reservation management unit 1400 of the service server and the definite dispatch matching described later.

That is, the driver information collection unit 1100 may collect driver information including current and future driving information of the driver from the driver terminal, the external service server, and the passenger reservation management unit.

Specifically, the operation information includes dispatch information of the corresponding driver. The dispatch information is simply information that the article exists at a certain point in time (such information can be manually entered by the driver), or the destination and the estimated time of arrival at the destination in the current operation of the article, or the article Including the destination and current location in the current trip.

In addition, in a preferred embodiment of the present invention, the dispatch information is a destination and an estimated time of arrival at a destination in a future operation that has been matched or reserved for a corresponding driver, but has not been performed, or a destination in a future operation of the corresponding driver, and May include your current location.

Such current and future driving information may be collected not only from matching made in the service server, but also from matching made in the external service server, which may be collected from the driver's terminal or an external service server.

In this way, the article information collection unit 1100 may collect article information from at least one of a driver terminal, an external service server, and a passenger reservation management unit in the service server. In addition, the article information includes information manually entered by the driver, information about the driver's current operation through the service server, information about future operation reserved through the service server, and the operation currently performed by the driver through an external service server. It may include one or more of information and future driving information reserved through an external service server.

When the driver information collection unit collects current driving information or future driving information by another matching service or another App Taxi, such information may be collected from the driver's terminal or directly from an external service server.

The article information is generated based on information directly input by the article in the article terminal, or is generated by an app taxi application, a navigation application, or a location information collection application operating in the article terminal, and the service server 1000 Can be transmitted. Also, as described above, the article information may be transmitted from an external service server to the service server 1000.

In the case of collecting the destination and the current location of the driver, the article information collection unit 1100 derives a time to arrive at the destination of the driver in consideration of traffic information and the like.

The article information collection unit 1100 derives data including identification information of the article, the destination of the article, and the estimated arrival time of the article from the article information, and the hourly article information extraction unit 1200 includes the article information collection unit ( Based on the data derived in 1100), information including distribution data of articles in a future time period as shown in FIG. 4 is generated or updated.

4 schematically illustrates an example of predicted positions of articles by time performed by the hourly article information deriving unit 1200 according to an embodiment of the present invention.

The hourly article information derivation unit 1200 derives future predicted position information of the article in a plurality of time points or in a plurality of time intervals based on the destination of the article derived or extracted from the article information and the estimated arrival time at the destination.

Specifically, the hourly article information extraction unit 1200 is based on the arrival position of the future point of time for each article collected by the article information collection unit 1100, for example, 9 o'clock, 9 o'clock, 10 o'clock, or It generates data that organizes or updates the predicted position information of the future articles by time period, for example, 9:00~9:30, 9:30~10:00, 10:00~10:30.

For example, (a) of FIG. 4 corresponds to the predicted positions of the drivers in the first time section, and (b) of FIG. 4 corresponds to the predicted positions of the drivers in the second time section following the first time section. , Figure 4 (c) corresponds to the expected position of the drivers in the third time section after the second time section, and Figure 4 (d) is the prediction of the drivers in the fourth time section after the third time section. Corresponds to the location.

For example, if the current time is 8:30, (a) of FIG. 4 is 9 to 9:15, (b) is 9:15 to 9:30, and (c) is 9:30 ~ 9:45, (d) may correspond to the location information of the driver arriving at the destination at 9:45 ~ 10.

In this way, the hourly article information derivation unit 1200 updates the predicted position of the article by future time period or time point according to the driving information collected by the article information collection unit or article information including future position information of the article. , The future predicted position information of the article in a plurality of viewpoints or a plurality of time intervals is converted into data.

The future predicted location information of the article at multiple points in time or in multiple time intervals is the identification information of the article, information about the future location where the article is predicted, and the point or time when the article is expected to be at that location in the future. Includes section information.

5 schematically shows the steps performed by the article matching unit 1410 according to an embodiment of the present invention.

The article matching unit (a) deriving a preliminary article that is a driver that satisfies a condition derived according to the departure time information of the passenger and the departure location information from the predicted position information of the future driver; (b) transmitting information on the preliminary driver to a passenger terminal; (c) receiving information on a selected driver, which is a driver selected from among the reserve drivers, from the passenger terminal; (d) transmitting reservation information to the driver's terminal of the selected driver.

In step (a), based on the predicted position information of the future driver, the driver's departure time information and an article meeting the condition derived according to the departure position information are extracted. A more detailed process of step (a) will be described later.

In step (b), information on the drivers extracted in step (a), that is, the preliminary driver, is transmitted to the passenger terminal, and the application executed in the passenger terminal displays information on the preliminary driver(s).

Preferably, the (a) and (b) steps are automatically and repeatedly performed before the (c) step is performed, so that the information of a plurality of preliminary drivers is transmitted to the passenger after receiving the passenger schedule information from the passenger terminal. Send to the terminal.

That is, if the preliminary driver is not derived in step (a) or the preliminary driver information is transmitted to the passenger terminal in step (b), but there is no response from the passenger terminal or additional information is requested, step (a), and Step (b) is performed continuously, providing additional preliminary article information to the user.

On the other hand, after step (c) or step (d), the reserved operation information of the corresponding driver is transmitted to the article information collection unit (or directly to the hourly article information extraction unit), and the hourly article information extraction unit is transferred to the operation information. Based on this, the predicted position and the predicted timing when the currently reserved operation of the relevant driver is completed are derived.

In this way, the first reservation for the first future point of the corresponding article is performed, and at the same time, the second reservation may occur in succession in consideration of the location and timing of the end of operation according to the first reservation. The detailed steps of S10 are schematically shown.

The step (a) corresponding to step S10 includes: a first step of deriving a candidate preliminary article that is an article meeting a preset condition based on predicted position information of the future article; A second step of deriving the predicted arrival time of the departure point of the passenger of the candidate reserve driver based on information including the location information of the destination of the candidate reserve driver, the expected arrival time of the destination, and the departure location information of the passenger; And a third step of determining whether the predicted arrival time corresponds to the departure time information of the passenger, and, if it does, the candidate preliminary driver is determined as a preliminary driver.

In the present invention, through the first step, candidate preliminary articles are derived in which the destination location and the destination arrival time are approximately within a preset error range from the departure location and departure time requested by the current passenger.

Thereafter, through the second step, the time required from the destination arrival time (or the destination arrival time entered by the driver) to the driver's destination and the passenger's departure point is calculated, and the driver is Derive the expected arrival time of arrival.

Thereafter, by determining whether the predicted arrival time satisfies the departure time condition based on the passenger's input, drivers that more fit the condition can be selected, and accordingly, it is possible to more accurately match the condition of the passenger's desired departure time. You can select the available articles.

7 schematically shows an example of a step of deriving a candidate preliminary article.

Specifically, FIG. 7 shows an example of the operation of the first step of deriving a candidate preliminary article that is an article meeting a preset condition based on the predicted position information of the future article.

The above-described passenger schedule receiving unit 1300 receives passenger schedule information including departure time information, departure location information, and arrival location information from the passenger terminal.

Thereafter, the article matching unit 1410 primarily derives a candidate preliminary article in the first step.

The departure time information may be input as a specific time point, a specific time point and an error range, or a specific time section.

In one embodiment of the present invention, in the first step, the first step corresponds to the departure time information (the same or a preset error range from the departure time or an error range input by the passenger, or the same or preset error range or passenger from the departure time. The predicted position information of the future article by time (before a preset time interval within the input error range) is loaded, and a candidate preliminary article predicted to be located within a preset range from the starting position of the starting position information is derived.

In another embodiment of the present invention, the first step derives a preliminary time section based on the departure time information and a preset condition (for example, when the departure time information is 9 o'clock, the preliminary time section is 8 Derived from hour 40 to 9:20), after loading the predicted position information of the future article corresponding to the preliminary time section, the article predicted to be located within a preset range from the departure position of the departure position information Are selected as candidate preliminary articles. That is, if the predicted location information of the future article is configured at 10 minute intervals, the prediction of the future article at 8:40, 8:50, 9, 9:10, and 9:20 Position information is loaded, and articles that are expected to arrive or be located within a preset range from the starting position of the starting position information from the loaded predicted position information of the future article are derived as candidate preliminary articles.

That is, the preset condition in the first step may include whether the destination of the driver is within a preset range from the departure position of the passenger in a future time section according to the departure time information.

8 conceptually shows an example of the operation of detailed steps of step S10 of FIG. 5.

Articles 1 and 2 in FIGS. 8A and 8B correspond to articles derived as candidate preliminary articles in the first step (step S20 of FIG. 6 ).

In the case of article 1, the article information is derived from the driver's operation information, and article 2 is a case in which the driver manually inputs his or her destination.

In step S22 of FIG. 6 described above, the time required from the driver's arrival point to the passenger's departure point is calculated.

Preferably, in the second step, the predicted arrival time of the departure point of the passenger of the candidate reserve driver is derived by considering the destination of the candidate reserve driver and traffic information around the passenger's departure point.

In the third step, the desired departure time condition at the departure point of the passenger derived based on the passenger's input (or section, for example, when the passenger departs at 9 o'clock, it is automatically 8:50 to 9:10. Minutes can be derived as the conditional section, or 8:50 to 9:10 can be derived as the conditional section according to the case where the condition for the error range is automatically or manually inputted while the passenger enters 9 o'clock) It is determined whether the departure and arrival prediction time of the candidate preliminary driver is consistent.

In Fig.8(A), driver 1's predicted time of departure and arrival meets the condition of the desired departure time at the passenger's departure point, so driver 1 can be determined as a preliminary driver, and driver 2's predicted time of departure, arrival and arrival is Article 2 cannot be decided as a preliminary article because it does not meet the conditions of the desired departure time.

Information of the drivers determined through this determination is transmitted to the passenger terminal, and the passenger terminal can select any one of the determined drivers.

9 schematically shows detailed steps of the mismatch notification unit 1420 according to an embodiment of the present invention.

When a preliminary article cannot be derived in step S10 of FIG. 5, the mismatch notification unit 1420 operates.

That is, when the departure time set by the passenger is approaching, but the driver corresponding thereto is not derived, the operation of the mismatch notification unit 1420 is executed.

Specifically, in step S30, it is determined whether the current time is within a preset range from the passenger's desired departure time.

For example, if the desired departure time of the passenger is 9 o'clock, and if the condition is selected within 30 minutes, but no preliminary driver is derived by 8:30, the steps after step S30 are performed.

After step S30, the passenger terminal has not searched for a preliminary driver, and an interface for inquiring to make a definite dispatch is provided. Thereafter, in the case where the passenger terminal selects to perform the definite dispatch, step S31 is performed. In the passenger terminal, you can choose to wait for a longer time without making a definite dispatch.

In step S31, it is received from the passenger terminal whether to select a definite dispatch. The definite dispatch may correspond to a special service that is higher than the usage fee of the mobility service caused by mutual matching between normal drivers and passengers.

In step S32, the step of transmitting the definite dispatch information to the driver's terminal meeting a preset criterion is performed. The definite dispatch information includes a departure location location, a departure time, and destination information.

In step S32, the definite dispatch information is transmitted to the driver's terminal that performs only the definite dispatch service or to the general driver's terminal that meets a preset condition (for example, whether it is located within a preset distance from the current passenger's departure position). .

In step S33, a response to the definite assignment is received from the driver's terminal.

Thereafter, in step S34, information on the result of the confirmed dispatch is transmitted to the passenger terminal.

By providing a separate service such as definite dispatch, passengers can satisfy their needs when they must depart at the corresponding time, and higher service costs can be provided to drivers.

On the other hand, after step S33 or step S34, the operation information of the definite dispatch of the article for which definite dispatch is reserved is transmitted to the article information collecting unit (or directly transmitted to the hourly article information deriving unit), and the hourly article information deriving unit is the operation. Based on the information, the predicted position and the predicted time when the scheduled operation of the current definite dispatch of the relevant driver is completed is derived.

In this way, the first reservation at the first future point of the corresponding article is performed, and the second reservation may occur continuously in consideration of the location and timing of the end of operation according to the first reservation.

10 schematically shows embodiments of an internal configuration in which article information is collected in an article terminal according to an embodiment of the present invention.

Figure 10 (A) is a destination and destination derived based on the destination and destination arrival time manually entered in the service application operating in relation to the service server 1000 by the driver in the driver's terminal or matching information in the service application. This corresponds to an embodiment in which time is transmitted to the service server 1000.

FIG. 10(B) corresponds to an embodiment in which a separate transmission module automatically extracts a destination and destination arrival time from a navigation application or an app taxi application executed in the driver's terminal and transmits it to the service server 1000.

FIG. 10C corresponds to an embodiment in which a service application automatically extracts a destination and destination arrival time from a navigation application or an App Taxi application executed in the driver's terminal and transmits it to the service server 1000.

11 schematically shows a display screen in a passenger terminal according to collection of driver information from the driver's terminal according to an embodiment of the present invention.

11A shows an example of an interface related to collecting article information in an article terminal.

Since the automatic scheduling function is turned on, the destination information and the estimated destination arrival time of the article from the current service application or another application are automatically transmitted to the service server 1000.

On the other hand, as shown in (A) of FIG. 11, in a preferred embodiment of the present invention, the article may input a desired destination.

In this case, the driver matching unit 1410 derives, as a preliminary driver, drivers whose desired destination matches the passenger's destination, and notifies this to the passenger terminal.

11B shows an example of an interface related to collecting article information in an article terminal.

Since the automatic scheduling function is turned off, the destination information and the estimated destination arrival time of the driver from the current service application or another application are not automatically transmitted to the service server 1000.

On the other hand, in (B) of FIG. 11, when the driver inputs his/her arrival location and arrival time or only inputs arrival, the driver's application may automatically calculate the arrival time using the current location information.

As shown in (B) of FIG. 11, in the driver's terminal, the driver may input a specific area for a desired destination or input as'no relationship'. In this case, the driver matching unit 1410 does not determine whether the driver's desired destination matches the passenger's destination when deriving as a preliminary driver.

On the other hand, (C) of FIG. 11 shows that after inputting the departure point, destination, and departure time conditions from the passenger terminal, the service server 1000 derives a matching preliminary driver and transmits it to the passenger terminal. It shows an example of an interface for a passenger to check information.

As shown in FIG. 11, in step S11 of the service server 1000, identification information or name of the preliminary driver, information on the vehicle, the estimated arrival time of the driver derived in step S22 of FIG. 6, and evaluation of the preliminary driver The preliminary driver information including the information is transmitted to the passenger terminal, and the passenger at the passenger terminal can check the information of the preliminary drivers and select a desired preliminary driver among them.

12 exemplarily shows an internal configuration of a computing device according to an embodiment of the present invention. The server according to FIG. 2 may include one or more modules of the computing device illustrated in FIG. 12.

As shown in Fig. 12, the computing device 11000 includes at least one processor 11100, a memory 11200, a peripheral interface 11300, and an input/output subsystem ( I/Osubsystem) 11400, a power circuit 11500, and a communication circuit 11600 may be included at least. In this case, the computing device 11000 may correspond to the user terminal A connected to the tactile interface device or the aforementioned computing device B.

The memory 11200 may include, for example, high-speed random access memory, magnetic disk, SRAM, DRAM, ROM, flash memory, or nonvolatile memory. have. The memory 11200 may include a software module, an instruction set, or other various data necessary for the operation of the computing device 11000.

In this case, accessing the memory 11200 from another component such as the processor 11100 or the peripheral device interface 11300 may be controlled by the processor 11100. The processor 11100 may be configured as a single unit or a plurality of units, and may include a processor in the form of a GPU and a TPU in order to improve operation processing speed.

The peripheral device interface 11300 may couple input and/or output peripheral devices of the computing device 11000 to the processor 11100 and the memory 11200. The processor 11100 may perform various functions for the computing device 11000 and process data by executing a software module or instruction set stored in the memory 11200.

The input/output subsystem 11400 may couple various input/output peripherals to the peripherals interface 11300. For example, the input/output subsystem 11400 may include a monitor, a keyboard, a mouse, a printer, or a controller for coupling a peripheral device such as a touch screen or a sensor to the peripheral device interface 11300 as needed. According to another aspect, the input/output peripheral devices may be coupled to the peripheral device interface 11300 without going through the input/output subsystem 11400.

The power circuit 11500 may supply power to all or part of the components of the terminal. For example, the power circuit 11500 may include a power management system, one or more power sources such as batteries or alternating current (AC), a charging system, a power failure detection circuit, a power converter or inverter, a power status indicator or power. It may contain any other components for creation, management, and distribution.

The communication circuit 11600 may enable communication with another computing device using at least one external port.

Alternatively, as described above, the communication circuit 11600 may enable communication with other computing devices by transmitting and receiving an RF signal, also known as an electromagnetic signal, including an RF circuit, if necessary.

The embodiment of FIG. 12 is only an example of the computing device 11000, and the computing device 11000 omits some of the components shown in FIG. 12, further includes additional components not shown in FIG. 12, or 2 It can have a configuration or arrangement that combines two or more components. For example, a computing device for a communication terminal in a mobile environment may further include a touch screen or a sensor, in addition to the components shown in FIG. 12, and various communication methods (WiFi, 3G, LTE) in the communication circuit 1160 , Bluetooth, NFC, Zigbee, etc.) may include a circuit for RF communication. Components that may be included in the computing device 11000 may be implemented as hardware, software, or a combination of hardware and software including one or more signal processing or application-specific integrated circuits.

Methods according to an embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computing devices and recorded in a computer-readable medium. In particular, the program according to the present embodiment may be configured as a PC-based program or an application dedicated to a mobile terminal. An application to which the present invention is applied may be installed in a user terminal through a file provided by a file distribution system. For example, the file distribution system may include a file transmission unit (not shown) that transmits the file according to the request of the user terminal.

The apparatus described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the devices and components described in the embodiments are, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA). , A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions, such as one or more general purpose computers or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of software. For the convenience of understanding, although it is sometimes described that one processing device is used, one of ordinary skill in the art, the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to operate as desired or processed independently or collectively. You can command the device. Software and/or data may be interpreted by a processing device or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodyed in a transmitted signal wave. The software may be distributed over networked computing devices and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

As described above, although the embodiments have been described by the limited embodiments and drawings, various modifications and variations are possible from the above description by those of ordinary skill in the art. For example, the described techniques are performed in a different order from the described method, and/or components such as a system, structure, device, circuit, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and claims and equivalents fall within the scope of the claims to be described later.

Claims (12)

A method of mutual matching between a driver and a passenger in a mobility service performed in a service server associated with an application executed in a driver's terminal and an application executed in a passenger terminal,
An article information collection step of collecting article information including driving information of the driver from the driver's terminal;
An hourly article information deriving step of deriving predicted location information of a future article from the article information;
A passenger schedule receiving step of receiving passenger schedule information including departure time information, departure location information, and arrival location information from the passenger terminal; And
Including; an article matching step of performing matching between the passenger and the driver based on the passenger schedule information and the predicted position information of the future driver; and
The step of deriving hourly article information,
Derive future predicted position information of a plurality of articles in a plurality of viewpoints or in a plurality of time intervals based on the destination of the article derived or extracted from the plurality of article information and the expected arrival time of the destination,
The article matching step,
(a) deriving a preliminary driver that is a driver that meets the conditions derived from the departure time information of the passenger and the condition derived from the departure location information of the passenger from the predicted location information of the future driver corresponding to the departure time information of the passenger;
(b) transmitting information on the preliminary driver to a passenger terminal;
(c) receiving information on a selected driver, which is a driver selected from among the reserve drivers, from the passenger terminal;
(d) transmitting reservation information to the driver's terminal of the selected driver; including,
The article information collection step,
The destination and the estimated time of arrival at the destination when the reserved operation, which is derived based on the reserved operation information of the selected driver booked through the article matching step, is additionally collected as the driver information. A method of mutual matching between drivers and passengers in a mobility service that allows a second reservation to occur in consideration of the destination and the expected arrival time of the destination according to the first reservation while the first reservation is performed.
The method according to claim 1,
The driver information includes a destination of the driver and an estimated time of arrival at the destination, or the destination and current location of the driver. A method of mutual matching between a driver and a passenger in a mobility service.
delete delete The method according to claim 1,
The step (a),
A first step of deriving a candidate preliminary article that is an article meeting a preset condition based on the predicted position information of the future article;
A second step of deriving the predicted arrival time of the departure point of the passenger of the candidate reserve driver based on information including the location information of the destination of the candidate reserve driver, the expected arrival time of the destination, and the departure location information of the passenger;
Including a third step of determining whether the predicted arrival time corresponds to the departure time information of the passenger, and determining whether the candidate preliminary driver is a preliminary driver if it is met, the mutual relationship between the driver and the passenger in the mobility service Matching method.
The method of claim 5,
The preset condition in the first step,
A method for mutual matching between a driver and a passenger in a mobility service, including whether or not the destination of the driver is within a preset range from the departure position of the passenger in a future time section according to the departure time information.
The method of claim 5,
In the second step, a method for mutual matching between a driver and a passenger in a mobility service in which the predicted arrival time of the departure point of the passenger of the candidate reserve driver is derived by considering the destination of the candidate reserve driver and traffic information around the passenger's departure point .
The method according to claim 1,
Steps (a) and (b) are automatically repeatedly performed before step (c) is performed, so that the information of a plurality of preliminary drivers is transmitted to the passenger terminal after receiving the passenger schedule information from the passenger terminal. , How to mutually match drivers and passengers in mobility services.
The method according to claim 1,
In the case where a preliminary article cannot be derived in step (a),
Determining whether the current time is within a preset range from the passenger's desired departure time;
Receiving from the passenger terminal whether to select a definite dispatch;
Transmitting definite dispatch information to a driver terminal meeting a preset criterion;
Receiving a response to the definite assignment from the driver's terminal; And
Transmitting the result information of the confirmed dispatch result to the passenger terminal; and performing a mismatch notification step comprising, the mutual matching method of the driver and the passenger in the mobility service.
The method according to claim 1,
The article information collection step may include a destination and destination arrival time manually inputted by the driver in a service application operating in connection with a service server in the driver's terminal, or a destination and destination arrival time derived based on matching information in a service application; Or, a method of mutual matching between a driver and a passenger in a mobility service that collects the destination and destination arrival time automatically extracted from a navigation application or an app taxi application performed in the driver's terminal.
A driver and passenger mutual matching system including an application executed in a driver's terminal and a service server associated with an application executed in a passenger terminal,
An article information collection unit for collecting article information including current driving information of the driver from the driver's terminal;
An hourly article information derivation unit for deriving predicted position information of a future article from the article information;
A passenger schedule receiving unit for receiving passenger schedule information including departure time information, departure location information, and arrival location information from the passenger terminal; And
Including; an article matching unit that performs matching between the passenger and the driver based on the passenger schedule information and the predicted position information of the future driver; and
The hourly article information extraction unit,
Derive future predicted position information of a plurality of articles in a plurality of viewpoints or in a plurality of time intervals based on the destination of the article derived or extracted from the plurality of article information and the expected arrival time of the destination,
The article matching unit,
(a) deriving a preliminary driver that is a driver that meets the conditions derived from the departure time information of the passenger and the condition derived from the departure location information of the passenger from the predicted location information of the future driver corresponding to the departure time information of the passenger;
(b) transmitting information on the preliminary driver to a passenger terminal;
(c) receiving information on a selected driver, which is a driver selected from among the reserve drivers, from the passenger terminal;
(d) transmitting reservation information to the driver's terminal of the selected driver; and
The article information collection unit,
The destination and the estimated time of arrival at the destination when the reserved operation, which is derived based on the reserved operation information of the selected driver booked through the article matching unit, are additionally collected as article information, and the first future point of the selected article is 1 A mutual matching system between drivers and passengers that allows a second reservation to occur in consideration of the destination and the expected arrival time of the destination according to the first reservation at the same time as the primary reservation is performed.
A computer-readable recording medium in which a program for performing a method of mutual matching between a driver and a passenger in a mobility service according to any one of claims 1, 2, and 5 to 10 is recorded.

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