CN108765933B - Method, device, equipment and storage medium for recommending boarding points - Google Patents
Method, device, equipment and storage medium for recommending boarding points Download PDFInfo
- Publication number
- CN108765933B CN108765933B CN201810792316.7A CN201810792316A CN108765933B CN 108765933 B CN108765933 B CN 108765933B CN 201810792316 A CN201810792316 A CN 201810792316A CN 108765933 B CN108765933 B CN 108765933B
- Authority
- CN
- China
- Prior art keywords
- point
- boarding
- points
- determining
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000004590 computer program Methods 0.000 claims description 7
- 238000010586 diagram Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0639—Item locations
-
- G06Q50/40—
Abstract
The application provides a method, a device, equipment and a storage medium for recommending a boarding point, wherein the method comprises the following steps: determining a plurality of initially selected boarding points within a preset range taking the target position as the center; determining a target getting-on point based on the road condition information of the road section where each initially selected getting-on point is located; and sending the target boarding point to a user. According to the method and the device, the target getting-on point is determined by considering the road condition information of the road section where the primary getting-on point is located on the basis of considering the target position, so that the time required for a driver to reach the target getting-on point can be reduced, the time for the passenger to wait for the vehicle is reduced, the traveling efficiency of the passenger can be improved, and the experience of both drivers and passengers is improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a storage medium for recommending a boarding point.
Background
At present, most trip applications adopt a function of recommending a boarding point, which can recommend the boarding point for a user, and then a passenger can send a taxi taking order according to the recommended boarding point so that a driver can meet the passenger according to the boarding point.
However, the existing solutions for recommending the boarding points generally recommend the boarding points for the passengers only according to the positions of the passengers, and the consideration factors are single, so that the driver needs to spend more time to reach the recommended boarding points, and the passengers need to spend more time waiting for the driver to pick up the vehicle, thereby reducing the traveling efficiency of the passengers and affecting the experience of the driver and the passengers.
Disclosure of Invention
In view of the above, the present application provides a method, an apparatus, a device and a storage medium for recommending a pick-up point, so as to solve the problems in the existing solutions for recommending a pick-up point.
Specifically, the method is realized through the following technical scheme:
according to a first aspect of the present application, a method of recommending a boarding point is provided, comprising:
determining a plurality of initially selected boarding points within a preset range taking the target position as the center;
determining a target getting-on point based on the road condition information of the road section where each initially selected getting-on point is located;
and sending the target boarding point to a user.
In an embodiment, the method further comprises:
determining the number of taxi taking orders corresponding to each initially selected taxi taking point in the time period of the current moment;
and determining the road condition information of the road section where each initially selected boarding point is located according to the number of the taxi taking orders.
In an embodiment, the determining the number of taxi taking orders corresponding to each of the initially selected taxi-taking points in the time period to which the current time belongs includes:
determining the quantity of historical taxi taking orders corresponding to each initially selected taxi taking point in a historical time period corresponding to the time period to which the current time belongs;
and estimating the number of the taxi taking orders corresponding to each primary taxi taking point in the time period of the current moment according to the historical taxi taking order number.
In an embodiment, the determining the number of taxi taking orders corresponding to each of the initially selected taxi-taking points in the time period to which the current time belongs includes:
and determining the number of the real-time taxi taking orders corresponding to each initially selected taxi-taking point in a preset time period before by taking the current moment as a starting point.
In an embodiment, the real-time taxi taking order quantity comprises a taxi taking order quantity which is not traveled.
In an embodiment, the determining the road condition information of the road section where each of the initially selected pick-up points is located according to the number of the taxi taking orders includes:
if the number of taxi taking orders corresponding to the initial selection taxi taking point is smaller than or equal to the order number threshold value, determining the road condition information of the road section where the initial selection taxi taking point is located as preset road condition information;
the determining the target boarding point based on the road condition information of the road section where each initially selected boarding point is located comprises the following steps:
and determining the primary selection vehicle-entering point of which the road condition information of the road section is the preset road condition information as a target vehicle-entering point in the plurality of primary selection vehicle-entering points.
In an embodiment, the method further comprises:
acquiring historical vehicle-entering points within a preset range with the target position as the center;
matching each currently determined alternative boarding point with the historical boarding points, wherein the alternative boarding points are primary selection boarding points or target boarding points;
and determining alternative boarding points matched with the historical boarding points.
In one embodiment, the historical boarding points include boarding points with a boarding heat value higher than or equal to a preset heat threshold value in a historical time period corresponding to a time period to which the current time belongs.
In an embodiment, the method further comprises:
generating a prompt message containing time that the target pick-up point can save for passengers.
According to a second aspect of the present application, there is provided an apparatus for recommending a boarding point, comprising:
the initial selection boarding point determining module is used for determining a plurality of initial selection boarding points within a preset range taking the target position as the center;
the target getting-on point determining module is used for determining a target getting-on point based on the road condition information of the road section where each initially selected getting-on point is located;
and the target getting-on point sending module is used for sending the target getting-on point to a user.
According to a third aspect of the present application, there is provided an apparatus for recommending a pick-up point, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements any of the above-mentioned methods when executing the program.
According to a fourth aspect of the present application, a computer-readable storage medium is presented, the storage medium storing a computer program for executing any one of the above-mentioned methods for recommending a boarding point.
According to the technical scheme, the target getting-on points are determined by determining the plurality of the primary selection getting-on points in the preset range with the target position as the center, the target getting-on points are determined based on the road condition information of the road section where the primary selection getting-on points are located, and then the target getting-on points are sent to the user.
Drawings
FIG. 1 is a flow chart illustrating a method for recommending pick-up points in accordance with a first exemplary embodiment of the present application;
FIG. 2 is a flow chart of a method of recommending pick-up points in accordance with a second exemplary embodiment of the present application;
FIG. 3 is a flowchart illustrating how to determine the number of taxi taking orders corresponding to each of the first-selected boarding points in the time period of the current time according to an exemplary embodiment of the present application;
FIG. 4 is a flow chart illustrating a method of recommending pick-up points in accordance with a third exemplary embodiment of the present application;
FIG. 5 is a flow chart of a method of recommending pick-up points in accordance with a fourth exemplary embodiment of the present application;
FIG. 6 is a flow chart of a method of recommending pick-up points in accordance with a fifth exemplary embodiment of the present application;
FIG. 7 is a block diagram illustrating an apparatus for recommending pick-up points in accordance with an exemplary embodiment of the present application;
FIG. 8 is a block diagram illustrating an apparatus for recommending pick-up points in accordance with yet another exemplary embodiment of the present application;
FIG. 9 is a block diagram illustrating an apparatus for recommending pick-up points in accordance with another exemplary embodiment of the present application;
fig. 10 is a block diagram illustrating an apparatus for recommending a pick-up point according to an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
FIG. 1 is a flow chart illustrating a method for recommending pick-up points in accordance with a first exemplary embodiment of the present application; the embodiment can be used for a service end of a taxi taking platform (for example, a server cluster formed by one server and a plurality of servers) and can also be used for terminal equipment (for example, a mobile phone, a tablet computer, a personal computer and the like).
As shown in fig. 1, the method comprises steps S101-S103:
in step S101: and determining a plurality of initially selected boarding points within a preset range taking the target position as the center.
In one embodiment, the target position may be a position of a passenger, such as a position of the taxi-taking user itself, or a position of another passenger set by the taxi-taking user.
For example, if the target position is the position of the taxi-taking user, when it is detected that the taxi-taking user opens the passenger client, the passenger client may be located to obtain the target position. If the target position is the position of other passengers set by the taxi-taking user, the other passengers can be directly positioned according to the position set by the taxi-taking user, and the position coordinates of the other passengers are obtained.
In one embodiment, after the target position is determined, a plurality of initial pick-up points within a preset range centered on the target position may be determined.
For example, if the target location is determined to be in an area surrounded by a fixed object (e.g., a railing, an enclosure, a plant, a building, etc.), such as a mall, a cell, a school, a factory, a park, etc., an exit in the area within the predetermined range may be determined as a primary pick-up point.
If the target position is determined to be in an area such as a street, a road, or the like, a parking available position in which the area is within the preset range may be determined as the initial selection boarding point.
It should be noted that the selection of the initial pick-up point may also be performed by a developer according to an actual environment, which is not limited in this embodiment.
In step S102: and determining a target getting-on point based on the road condition information of the road section where each initially selected getting-on point is located.
In an embodiment, after determining the plurality of initial selection vehicle-entering points, the road section where each initial selection vehicle-entering point is located may be determined, and then road condition information of the road section where each initial selection vehicle-entering point is located may be determined, and then the target vehicle-entering point may be determined from the plurality of initial selection vehicle-entering points according to the road condition information of the road section where each initial selection vehicle-entering point is located.
In an embodiment, one or more target boarding points may be determined from the plurality of primary pick-up boarding points according to road condition information of a road section where each primary pick-up boarding point is located.
In an embodiment, the traffic information of the road segment where each initially selected pick-up point is located may be obtained from a server for detecting the traffic information of the road segment, or the traffic information of the road segment where each initially selected pick-up point is located may be determined according to the number of taxi taking orders.
In an embodiment, the manner of determining the road condition information of the road section where each initially selected pick-up point is located according to the number of the order for taking a car may be referred to the following embodiment shown in fig. 2, which will not be described in detail herein.
In an embodiment, the traffic information may include congested traffic information and uncongested traffic information, where the uncongested traffic information may be further subdivided into smooth traffic information, slow traffic information, and the like. It should be noted that the dividing manner of the traffic information may be set by a developer according to actual service needs, which is not limited in this embodiment.
In an embodiment, after determining the traffic information of the road segment where each of the primary selection pick-up points is located, a primary selection pick-up point meeting the requirement (for example, a primary selection pick-up point where the traffic information of the road segment is non-congestion traffic information) may be screened from the plurality of primary selection pick-up points as the target pick-up point.
It should be noted that the traffic information of the road segment where each of the initially selected departure points is located may be the traffic information of each of the initially selected departure points at the current time, or may be the traffic information of each of the initially selected departure points in a previous preset time period with the current time as a starting point, or may be the traffic information of a future time period or time (for example, a scheduled pickup time) predicted according to real-time or historical taxi taking data, which is not limited in this embodiment.
In step S103: and sending the target boarding point to a user.
In one embodiment, after the target boarding point is determined, the target boarding point can be sent to the passenger client, so that the passenger can select a final boarding point from one or more provided target boarding points according to the requirement of the passenger.
In one embodiment, the target pick-up point may be displayed in the passenger client in the form of a map mark or text, and distinguished from the initially selected pick-up point.
As can be seen from the above description, in this embodiment, a plurality of primary pick-up points within a preset range centered on a target position are determined, a target pick-up point is determined based on road condition information of a road section where each primary pick-up point is located, and the target pick-up point is sent to a user.
FIG. 2 is a flow chart of a method of recommending pick-up points in accordance with a second exemplary embodiment of the present application; the embodiment can be used for a service end of a taxi taking platform (for example, a server cluster formed by one server and a plurality of servers) and can also be used for terminal equipment (for example, a mobile phone, a tablet computer, a personal computer and the like).
As shown in fig. 2, the method comprises steps S201-S205:
in step S201, a plurality of initially selected boarding points within a preset range centered on the target position are determined.
In step S202, the number of taxi taking orders corresponding to each of the primary selected boarding points in the time period of the current time is determined.
In one embodiment, after a plurality of initially selected boarding points are determined, the current time can be determined, and the time period to which the current time belongs can be determined.
In an embodiment, the time period to which the current time belongs may be a preset time period including the current time. For example, if the time period to which the current time belongs is fixed in length (e.g., N minutes), the time period may be a time period that is N minutes before the current time as a starting point, or a time period that is N/2 minutes before and N/2 minutes after the current time as a midpoint, or a time period that includes the current time and has a length of N minutes (the current time is not the midpoint of the time period).
It should be noted that the time period to which the current time belongs may be divided by a developer according to actual service needs, which is not limited in this embodiment.
In an embodiment, after the time period to which the current time belongs is determined, the number of taxi taking orders corresponding to each primary selected taxi-entering point in the time period can be determined.
In one embodiment, the number of taxi taking orders corresponding to each primary taxi taking point can be determined according to the following two ways:
the first mode is as follows: and determining the number of the taxi taking orders corresponding to each primary selected taxi taking point according to the number of the real-time taxi taking orders.
In an embodiment, the number of real-time taxi taking orders corresponding to each of the initially selected taxi-in points in a preset time period before the current time is taken as a starting point can be determined.
In an embodiment, the preset time period before the current time is used as a starting point may be set by a developer according to actual business needs, for example, the preset time period is set to be 5 minutes or 10 minutes before the current time is used as a starting point, which is not limited in this embodiment.
In an embodiment, the real-time taxi taking order number may include a taxi taking order number not on a trip.
It can be understood that the taxi taking orders actually influencing the road conditions of the road section to which the primary taxi taking point belongs are taxi taking orders which are not traveled, because the vehicles associated with the taxi taking orders which are traveled leave the road section to which the primary taxi taking point belongs, and the vehicles associated with the taxi taking orders which are not traveled need to wait for passengers to get on at the primary taxi taking point. Therefore, the real-time taxi taking order number corresponding to each primary taxi taking point can be determined by counting the taxi taking order numbers which are not taken out.
The second mode is as follows: and estimating the number of the taxi taking orders corresponding to each initially selected taxi taking point according to the historical taxi taking order number.
In an embodiment, the method for estimating the number of taxi taking orders corresponding to each initially selected taxi taking point according to the historical taxi taking order number can be further referred to the following embodiment shown in fig. 3, which will not be described in detail herein.
In step S203, determining road condition information of the road section where each of the initial pick-up points is located according to the number of the taxi taking orders.
In an embodiment, an order quantity threshold value may be preset, and then after the number of the order for taking a car corresponding to the initially selected upper vehicle point is determined, the number of the order for taking a car is compared with the order quantity threshold value, and according to a comparison result, the road condition information of the road section where the initially selected upper vehicle point is located is determined.
For example, if the preset threshold value of the number of orders is 20, if it is determined that the number of orders for taking a car corresponding to the initially selected departure point is 8, the comparison result (8<20) can be obtained, and the road condition information of the road section where the initially selected departure point is located can be determined as the preset road condition information (e.g., smooth or slow traffic information).
In step S204, a target pick-up point is determined based on the traffic information of the road segment where each of the initial pick-up points is located.
In an embodiment, after determining the traffic information of the road segment where each of the initial selection pick-up points is located, the initial selection pick-up point where the traffic information of the road segment located in the plurality of initial selection pick-up points is the preset traffic information may be determined as the target pick-up point.
Following the example in step S203, if it is determined that the road condition information of the road segment where the initially selected boarding point is located is the preset road condition information (e.g., smooth or slow traffic road condition information), the initially selected boarding point may be determined as the target boarding point.
In step S205, the target boarding point is sent to the user.
For the explanation and description of steps S201 and S204-S205, reference may be made to the above embodiments, which are not repeated herein.
As can be seen from the above description, in this embodiment, the number of the order of taking a vehicle corresponding to each of the primary selected departure points in the time period to which the current time belongs is determined, and the traffic information of the road section where each of the primary selected departure points is located is determined according to the number of the order of taking a vehicle, so that the traffic information of the road section where the primary selected departure point is located can be determined according to the number of the order of taking a vehicle, the accuracy of determining the traffic information of the road section where the primary selected departure point is located can be improved, and the accuracy of subsequently determining the target departure point based on the traffic information can be improved.
FIG. 3 is a flowchart illustrating how to determine the number of taxi taking orders corresponding to each of the first-selected boarding points in the time period of the current time according to an exemplary embodiment of the present application; the present embodiment is exemplified by how to determine the number of taxi taking orders corresponding to each primary taxi-entering point in the time period to which the current time belongs, based on the above embodiments. As shown in fig. 3, the determining, in step S201, the number of taxi taking orders corresponding to each of the primary taxi taking points in the time period to which the current time belongs may include the following steps S301 to S302:
in step S301, a historical taxi taking order number corresponding to each of the primary taxi-taking points in a historical time period corresponding to the time period to which the current time belongs is determined.
In one embodiment, after determining the time period to which the current time belongs, a historical time period corresponding to the time period to which the current time belongs may be determined. For example, if it is determined that the current time belongs to 6 pm on day 18 of 7 months in 2018: 00-7: 00, determining that the historical time period corresponding to the time period of the current time is 6 in the afternoon in the preset number of days before 7, 18 and 7 months in 2018: 00-7: 00.
In an embodiment, after the historical time period corresponding to the time period to which the current time belongs is determined, the server storing the historical taxi taking orders can determine the historical taxi taking order quantity corresponding to each of the primary selected taxi taking points in the historical time period.
In step S302, the number of taxi taking orders corresponding to each of the primary selected taxi taking points in the time period to which the current time belongs is estimated according to the historical number of taxi taking orders.
In an embodiment, after determining the historical number of taxi taking orders corresponding to each primary-selected taxi taking point in the historical time period corresponding to the time period to which the current time belongs, the number of taxi taking orders corresponding to each primary-selected taxi taking point in the time period to which the current time belongs can be estimated according to the historical number of taxi taking orders corresponding to each primary-selected taxi taking point.
For example, the historical number of taxi taking orders corresponding to each primary-selected taxi taking point may be multiplied by the order quantity increase average (the value may be obtained by analyzing trip big data), so as to obtain the number of taxi taking orders corresponding to each primary-selected taxi taking point in the time period of the current time.
As can be seen from the above description, in this embodiment, by determining the historical number of taxi taking orders corresponding to each of the primary taxi taking points in the historical time period corresponding to the time period to which the current time belongs, and estimating the number of taxi taking orders corresponding to each of the primary taxi taking points in the time period to which the current time belongs according to the historical number of taxi taking orders, the number of taxi taking orders corresponding to each of the primary taxi taking points in the time period to which the current time belongs can be estimated according to the historical number of taxi taking orders, so as to provide a basis for subsequently determining road condition information of a road section to which each of the primary taxi taking points belongs based on the number of taxi taking orders.
On the basis of the above embodiment, after the candidate boarding points (i.e., the primary or target boarding points) are determined, the determined candidate boarding points may be further screened by using historical boarding points within a preset range centered on the target position to screen candidate boarding points matching the historical boarding points from the determined candidate boarding points, so that the finally screened candidate boarding points may meet the requirement of the taxi-taking user on boarding convenience.
The following describes how to use the historical waypoints to further screen the initial and target waypoints by using the embodiments shown in fig. 4 and 5, respectively.
FIG. 4 is a flow chart illustrating a method of recommending pick-up points in accordance with a third exemplary embodiment of the present application; the embodiment can be used for a service end of a taxi taking platform (for example, a server cluster formed by one server and a plurality of servers) and can also be used for terminal equipment (for example, a mobile phone, a tablet computer, a personal computer and the like).
As shown in fig. 4, the method includes steps S401-S406:
in step S401, a plurality of initially selected boarding points within a preset range centered on the target position are determined.
In step S402, a historical boarding point within a preset range centered on the target position is acquired.
In one embodiment, after determining a plurality of initially selected boarding points within a preset range centered on the target position, historical boarding points within the preset range centered on the target position may be determined.
In an embodiment, the historical boarding point may be a historical boarding point in a historical boarding order of a current boarding user, or may also be a historical boarding point in a historical boarding order of another boarding user, which is not limited in this embodiment.
In an embodiment, the historical boarding points may include boarding points having a boarding heat value higher than or equal to a preset heat threshold value in a historical time period corresponding to a time period to which the current time belongs.
For example, if it is determined that the current time belongs to the time period of 6: 00-7: 00 pm, the departure point of 6: 00-7: 00 pm and the departure heat value of which is higher than or equal to the preset heat threshold value can be obtained from the historical taxi taking order data.
It should be noted that the preset heat threshold may be set by a developer according to actual business needs, which is not limited in this embodiment.
In step S403, each of the initially selected vehicle points currently determined is matched with the historical vehicle points.
In an embodiment, after obtaining the historical boarding points within the preset range with the target position as the center, each of the initially selected boarding points determined currently may be matched with the historical boarding points.
For example, the currently determined initial selection vehicle points may be matched with the identification information (such as the station names) or the position coordinates of the historical vehicle points, and if the identification information of the initial selection vehicle points is the same as the identification information of the historical vehicle points or the position coordinates of the initial selection vehicle points are close to the position coordinates of the historical vehicle points, the initial selection vehicle points may be determined to be matched with the historical vehicle points.
In step S404, a primary pick point matching the historical pick point is determined.
In an embodiment, after each of the currently determined primary selected boarding points is matched with the historical boarding points, the primary selected boarding points matched with the historical boarding points may be screened from the primary selected boarding points to be used as the finally determined primary selected boarding points, and then the subsequent steps are executed based on the finally determined primary selected boarding points.
In step S405, a target boarding point is determined based on the traffic information of the road segment where each of the initial selection boarding points is located.
In step S406, the target boarding point is sent to the user.
For the explanation and explanation of steps S401 and S405-S406, reference may be made to the above embodiments, which are not described herein again.
As can be seen from the above description, in this embodiment, by acquiring historical boarding points within a preset range centered on the target position, and matching each of the currently determined primary boarding points with the historical boarding points, and then determining the primary boarding points matched with the historical boarding points, it is possible to further screen each of the currently determined primary boarding points according to the historical boarding points, and ensure that the screened primary boarding points meet the boarding requirements of the taxi-calling user, and further ensure that the subsequently determined target boarding points also meet the boarding requirements of the taxi-calling user.
FIG. 5 is a flow chart of a method of recommending pick-up points in accordance with a fourth exemplary embodiment of the present application; the embodiment can be used for a service end of a taxi taking platform (for example, a server cluster formed by one server and a plurality of servers) and can also be used for terminal equipment (for example, a mobile phone, a tablet computer, a personal computer and the like).
As shown in fig. 5, the method includes steps S501-S506:
in step S501, a plurality of initially selected boarding points within a preset range centered on a target position are determined;
in step S502, a target boarding point is determined based on the traffic information of the road segment where each of the initially selected boarding points is located.
In step S503, a historical boarding point within a preset range centered on the target position is acquired.
In step S504, each currently determined target boarding point is matched with the historical boarding point.
In an embodiment, after obtaining the historical boarding points within the preset range with the target position as the center, matching each currently determined target boarding point with the historical boarding points.
For example, the currently determined target boarding points may be matched with the identification information (e.g., station names) or the position coordinates of the historical boarding points, and if the identification information of the target boarding points is the same as the identification information of the historical boarding points or the position coordinates of the target boarding points are close to the position coordinates of the historical boarding points, the target boarding points may be determined to be matched with the historical boarding points.
In step S505, a target boarding point that matches the historical boarding point is determined.
In an embodiment, after each currently determined target boarding point is matched with the historical boarding points, a target boarding point matched with the historical boarding point can be screened from each target boarding point to be used as a finally determined target boarding point, and then subsequent steps are executed based on the finally determined target boarding point.
In step S506, the target boarding point is sent to the user.
For the explanation and description of steps S501 to S503 and S506, reference may be made to the foregoing embodiments, which are not repeated herein.
As can be seen from the above description, in this embodiment, by obtaining historical boarding points within a preset range centered on the target position, and matching each currently determined target boarding point with the historical boarding points, and further determining target boarding points matched with the historical boarding points, it is possible to further screen each currently determined target boarding point according to the historical boarding points, and ensure that the screened target boarding points meet the boarding requirements of the taxi-taking user.
FIG. 6 is a flow chart of a method of recommending pick-up points in accordance with a fifth exemplary embodiment of the present application; the embodiment can be used for a service end of a taxi taking platform (for example, a server cluster formed by one server and a plurality of servers) and can also be used for terminal equipment (for example, a mobile phone, a tablet computer, a personal computer and the like).
As shown in fig. 6, the method includes steps S601-S604:
in step S601, a plurality of initially selected boarding points within a preset range centered on the target position are determined.
In step S602, a target pick-up point is determined based on the traffic information of the road segment where each of the initial pick-up points is located.
In step S603, the target boarding point is sent to the user.
For the explanation and description of steps S601-S603, reference may be made to the above embodiments, which are not repeated herein.
In step S604, a prompt message is generated that includes the time that the target pick-up point can save for the passenger.
In an embodiment, when the target pick-up point is sent to the user, or when it is detected that the user sends a taxi taking order, prompt information containing time that the target pick-up point can save for passengers can be generated.
For example, the content of the prompt message may be: "you are congested near xx, and provide a boarding point with smooth current road condition for you, and the boarding point can save xx minutes time for you", so as to prompt the user to select the boarding point, so that the travel time can be saved.
The calculation method for saving time at the boarding point can be as follows:
the time t1 when the driver's target position reaches the target pick-up point and the time t2 when the driver's target position reaches the initial pick-up point are calculated, respectively, and then the difference between t2 and t1 may be calculated, and the difference may be determined as the time that can be saved for the passenger.
As can be seen from the above description, in this embodiment, by generating the prompt information including the time that the target boarding point can save for the passenger, the user can be prompted to select the boarding point to save the travel time, the travel efficiency of the user is improved, and the travel demand of the passenger is satisfied.
FIG. 7 is a block diagram illustrating an apparatus for recommending pick-up points in accordance with an exemplary embodiment of the present application; as shown in fig. 7, the apparatus includes: an initial pick-up point determining module 110, a target pick-up point determining module 120, and a target pick-up point transmitting module 130, wherein:
a preliminary pick-up point determining module 110, configured to determine a plurality of preliminary pick-up points within a preset range centered on the target position;
a target boarding point determining module 120, configured to determine a target boarding point based on road condition information of a road segment where each of the initially selected boarding points is located;
and a target pick-up point sending module 130, configured to send the target pick-up point to a user.
As can be seen from the above description, in this embodiment, a plurality of primary pick-up points within a preset range centered on a target position are determined, a target pick-up point is determined based on road condition information of a road section where each primary pick-up point is located, and the target pick-up point is sent to a user.
FIG. 8 is a block diagram illustrating an apparatus for recommending pick-up points in accordance with yet another exemplary embodiment of the present application; the primary pick-up point determining module 210, the target pick-up point determining module 240 and the target pick-up point sending module 250 have the same functions as the primary pick-up point determining module 110, the target pick-up point determining module 120 and the target pick-up point sending module 130 in the embodiment shown in fig. 7, and are not described herein again.
As shown in fig. 8, the apparatus may further include: a traffic information determination module 230;
the traffic information determining module 230 may include:
the order quantity determining unit 231 is configured to determine the quantity of the taxi taking orders corresponding to each of the primary selection boarding points in the time period to which the current time belongs;
and a traffic information determining unit 232, configured to determine traffic information of a road segment where each of the initial selection pick-up points is located according to the number of the taxi taking orders.
In an embodiment, the order quantity determining unit 231 may further be configured to:
determining the quantity of historical taxi taking orders corresponding to each initially selected taxi taking point in a historical time period corresponding to the time period to which the current time belongs;
and estimating the number of the taxi taking orders corresponding to each primary taxi taking point in the time period of the current moment according to the historical taxi taking order number.
In an embodiment, the order quantity determining unit 231 may further be configured to:
and determining the number of the real-time taxi taking orders corresponding to each initially selected taxi-taking point in a preset time period before by taking the current moment as a starting point.
In an embodiment, the real-time taxi taking order quantity comprises a taxi taking order quantity which is not traveled.
In an embodiment, the traffic information determining unit 232 may further be configured to:
when the number of taxi taking orders corresponding to the initial selection taxi taking point is smaller than or equal to an order number threshold value, determining the road condition information of the road section where the initial selection taxi taking point is located as preset road condition information;
the target getting-on point determining module is further configured to determine, as the target getting-on point, the primarily selected getting-on point, in the plurality of primarily selected getting-on points, where the road condition information of the road section is the preset road condition information.
In an embodiment, the apparatus may further include: an alternative pick-up point determination module 220;
the alternative pick-up point determination module 220 may include:
a historical boarding point acquisition unit 221 configured to acquire a historical boarding point within a preset range centered on the target position;
a historical boarding point matching unit 222, configured to match each of the initially selected boarding points that are currently determined with the historical boarding points;
and an alternative boarding point determining unit 223 for determining a primary boarding point matched with the historical boarding point.
In one embodiment, the historical boarding points may include boarding points with a boarding heat value higher than or equal to a preset heat threshold value in a historical time period corresponding to a time period to which the current time belongs.
In an embodiment, the apparatus may further include:
and the prompt message generation module 260 is used for generating prompt messages containing the time that the target boarding points can save for passengers.
FIG. 9 is a block diagram illustrating an apparatus for recommending pick-up points in accordance with another exemplary embodiment of the present application; the function of the initial selection pick-up point determining module 310, the road condition information determining module 320, the target pick-up point determining module 330, the target pick-up point sending module 350, and the prompt information generating module is the same as that of the initial selection pick-up point determining module 210, the road condition information determining module 230, the target pick-up point determining module 240, the target pick-up point sending module 250, and the prompt information generating module 260 in the embodiment shown in fig. 8, which is not described herein again.
As shown in fig. 9, the apparatus may further include an alternative pick-up point determination module 340;
the alternative pick-up point determination module 340 may include:
a historical boarding point acquisition unit 341 configured to acquire a historical boarding point within a preset range centered on the target position;
a historical boarding point matching unit 342, configured to match currently determined target boarding points with the historical boarding points;
an alternative boarding point determining unit 343 configured to determine a target boarding point that matches the historical boarding point.
It should be noted that, all the above-mentioned optional technical solutions may be combined arbitrarily to form the optional embodiments of the present disclosure, and are not described in detail herein.
The embodiment of the device for recommending the boarding point can be applied to network equipment. The device embodiments may be implemented by software, or by hardware, or by a combination of hardware and software. Taking a software implementation as an example, as a device in a logical sense, the device is formed by reading, by a processor of a device in which the device is located, corresponding computer program instructions in a nonvolatile memory into an internal memory for running, where the computer program is used to execute the method for recommending a boarding point provided by the embodiment shown in fig. 1 to 6. From a hardware level, as shown in fig. 10, which is a hardware structure diagram of the device for recommending a pick-up point according to the present invention, besides the processor, the network interface, the memory and the nonvolatile memory shown in fig. 10, the device may also include other hardware, such as a forwarding chip responsible for processing a packet, and the like; the device may also be a distributed device in terms of hardware structure, and may include multiple interface cards to facilitate expansion of message processing at the hardware level. On the other hand, the present application also provides a computer-readable storage medium, which stores a computer program for executing the method for recommending a boarding point provided in the embodiments shown in fig. 1 to 6.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (10)
1. A method for recommending pick-up points, comprising:
determining a plurality of initially selected boarding points within a preset range taking the target position as the center;
determining the number of taxi taking orders corresponding to each initially selected taxi taking point in the time period of the current moment; the taxi taking order number comprises a taxi taking order number which is not taken out;
determining road condition information of the road section where each initially selected boarding point is located according to the number of the taxi taking orders; the traffic information comprises crowded traffic information and non-crowded traffic information;
determining a target getting-on point based on the road condition information of the road section where each initially selected getting-on point is located;
and sending the target boarding point to a user.
2. The method according to claim 1, wherein the determining the number of the taxi taking orders corresponding to each of the initially selected taxi-in points in the time period of the current time comprises:
determining the quantity of historical taxi taking orders corresponding to each initially selected taxi taking point in a historical time period corresponding to the time period to which the current time belongs;
and estimating the number of the taxi taking orders corresponding to each primary taxi taking point in the time period of the current moment according to the historical taxi taking order number.
3. The method according to claim 1, wherein the determining the number of the taxi taking orders corresponding to each of the initially selected taxi-in points in the time period of the current time comprises:
and determining the number of the real-time taxi taking orders corresponding to each initially selected taxi-taking point in a preset time period before by taking the current moment as a starting point.
4. The method according to claim 1, wherein the determining the road condition information of the road section where each of the initial pick-up points is located according to the number of the order for placing the vehicle comprises:
if the number of taxi taking orders corresponding to the initial selection taxi taking point is smaller than or equal to the order number threshold value, determining the road condition information of the road section where the initial selection taxi taking point is located as preset road condition information;
the determining the target boarding point based on the road condition information of the road section where each initially selected boarding point is located comprises the following steps:
and determining the primary selection vehicle-entering point of which the road condition information of the road section is the preset road condition information as a target vehicle-entering point in the plurality of primary selection vehicle-entering points.
5. The method of claim 1, further comprising:
acquiring historical vehicle-entering points within a preset range with the target position as the center;
matching each currently determined alternative boarding point with the historical boarding points, wherein the alternative boarding points are primary selection boarding points or target boarding points;
and determining alternative boarding points matched with the historical boarding points.
6. The method according to claim 5, wherein the historical boarding points comprise boarding points with a boarding heat value higher than or equal to a preset heat threshold value in a historical time period corresponding to a time period to which the current time belongs.
7. The method according to any one of claims 1-6, further comprising:
generating a prompt message containing time that the target pick-up point can save for passengers.
8. An apparatus for recommending pick-up points, comprising:
the initial selection boarding point determining module is used for determining a plurality of initial selection boarding points within a preset range taking the target position as the center;
the road condition information determining module comprises: the order quantity determining unit and the road condition information determining unit;
the order quantity determining unit is used for determining the number of taxi taking orders corresponding to each primary selected taxi-taking point in the time period of the current moment; the taxi taking order number comprises a taxi taking order number which is not taken out;
the road condition information determining unit is used for determining the road condition information of the road section where each initial vehicle-entering point is located according to the number of the taxi taking orders; the traffic information comprises crowded traffic information and non-crowded traffic information;
the target getting-on point determining module is used for determining a target getting-on point based on the road condition information of the road section where each initially selected getting-on point is located;
and the target getting-on point sending module is used for sending the target getting-on point to a user.
9. An apparatus for recommending a pick-up point, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the method of recommending a pick-up point of any of claims 1-7.
10. A computer-readable storage medium, characterized in that the storage medium stores a computer program for executing the method of recommending a pick-up point according to any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810792316.7A CN108765933B (en) | 2018-07-18 | 2018-07-18 | Method, device, equipment and storage medium for recommending boarding points |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810792316.7A CN108765933B (en) | 2018-07-18 | 2018-07-18 | Method, device, equipment and storage medium for recommending boarding points |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108765933A CN108765933A (en) | 2018-11-06 |
| CN108765933B true CN108765933B (en) | 2021-06-04 |
Family
ID=63970179
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810792316.7A Active CN108765933B (en) | 2018-07-18 | 2018-07-18 | Method, device, equipment and storage medium for recommending boarding points |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108765933B (en) |
Families Citing this family (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111179577B (en) * | 2018-11-09 | 2022-02-18 | 北京嘀嘀无限科技发展有限公司 | Method and system for determining boarding place |
| CN111179579A (en) * | 2018-11-09 | 2020-05-19 | 北京嘀嘀无限科技发展有限公司 | User reminding method and system |
| CN111242331B (en) * | 2018-11-29 | 2023-11-21 | 北京嘀嘀无限科技发展有限公司 | Information processing method and device |
| CN111291953B (en) * | 2018-12-07 | 2022-09-06 | 北京嘀嘀无限科技发展有限公司 | Method, device and equipment for determining boarding point and computer readable storage medium |
| CN110009131B (en) * | 2019-02-28 | 2020-12-25 | 河海大学 | Network appointment vehicle dispatching method considering multi-factor influence |
| CN109903561B (en) * | 2019-03-14 | 2021-05-07 | 智慧足迹数据科技有限公司 | Method and device for calculating pedestrian flow between road sections and electronic equipment |
| JP7125369B2 (en) * | 2019-03-29 | 2022-08-24 | 本田技研工業株式会社 | Parking lot management device, parking lot management method, and program |
| CN110677449A (en) * | 2019-04-25 | 2020-01-10 | 北京嘀嘀无限科技发展有限公司 | Boarding point recommendation method and device |
| WO2020243963A1 (en) * | 2019-06-06 | 2020-12-10 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for determining recommended information of service request |
| CN111859172B (en) * | 2019-09-24 | 2023-11-21 | 北京嘀嘀无限科技发展有限公司 | Information pushing method, device, electronic equipment and computer readable storage medium |
| CN111831931B (en) * | 2019-09-24 | 2023-11-17 | 北京嘀嘀无限科技发展有限公司 | Method and device for ordering boarding points and information |
| CN111860904A (en) * | 2019-09-24 | 2020-10-30 | 北京嘀嘀无限科技发展有限公司 | Method and device for sequencing getting-on points |
| CN111859173A (en) * | 2019-10-23 | 2020-10-30 | 北京嘀嘀无限科技发展有限公司 | Boarding point recommendation method and system |
| CN111192110B (en) * | 2019-12-23 | 2022-05-17 | 南京领行科技股份有限公司 | Method and device for determining getting-on central point |
| CN111210297B (en) * | 2019-12-23 | 2022-05-17 | 南京领行科技股份有限公司 | Method and device for dividing boarding points |
| CN111898042B (en) * | 2020-03-10 | 2024-04-02 | 北京畅行信息技术有限公司 | Riding point recommendation method, riding point recommendation device, riding point recommendation equipment and storage medium |
| CN112184371A (en) * | 2020-09-23 | 2021-01-05 | 广州宸祺出行科技有限公司 | Method, system and storage medium for calculating and guiding recommended boarding points of passengers |
| CN115798253A (en) * | 2021-01-04 | 2023-03-14 | 北京嘀嘀无限科技发展有限公司 | Method, apparatus, device, medium for determining a restricted parking position |
| CN112734235A (en) * | 2021-01-11 | 2021-04-30 | 辽宁工程技术大学 | Personalized riding point recommendation method and system based on comprehensive evaluation |
| CN115936817B (en) * | 2022-12-30 | 2024-02-20 | 北京白驹易行科技有限公司 | Passenger order starting point aggregation method and device and computer equipment |
| CN117194391A (en) * | 2023-11-08 | 2023-12-08 | 腾讯科技（深圳）有限公司 | Data processing method, device, equipment and computer readable storage medium |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20120006682U (en) * | 2011-03-20 | 2012-09-28 | 박용태 | Taxi Online Get On System |
| CN104599088A (en) * | 2015-02-13 | 2015-05-06 | 北京嘀嘀无限科技发展有限公司 | Dispatching method and dispatching system based on orders |
| CN114037589A (en) * | 2016-06-13 | 2022-02-11 | 北京嘀嘀无限科技发展有限公司 | Boarding point recommendation processing method and system |
| CN107665476A (en) * | 2016-07-28 | 2018-02-06 | 北京京东尚科信息技术有限公司 | A kind of method and apparatus that Entrucking Point is provided for passenger |
| CN107403560B (en) * | 2017-08-17 | 2019-11-19 | 北京经纬恒润科技有限公司 | A kind of method and device for recommending Entrucking Point |
-
2018
- 2018-07-18 CN CN201810792316.7A patent/CN108765933B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN108765933A (en) | 2018-11-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108765933B (en) | Method, device, equipment and storage medium for recommending boarding points | |
| US11940284B1 (en) | Casual driver ride sharing | |
| US20180225796A1 (en) | Resource Allocation in a Network System | |
| CN107491825B (en) | Taxi booking processing method and system | |
| US9554244B2 (en) | Distribution of location and movement information of meeting participants | |
| US20170169366A1 (en) | Systems and Methods for Adjusting Ride-Sharing Schedules and Routes | |
| US20150161752A1 (en) | Intelligent queuing for user selection in providing on-demand services | |
| CN110832561B (en) | System and method for determining and recommending boarding location for vehicles | |
| CN109841054B (en) | Method, device, equipment and storage medium for recommending boarding points | |
| CA2884372C (en) | Public transportation navigator | |
| US20130013381A1 (en) | Dispatch system for allowing a user to call a hire vehicle | |
| US20170265040A1 (en) | Verification of pickup times in real-time ride-sharing feeds | |
| WO2015018309A1 (en) | Location-based taxi information communication service system, terminals and method | |
| CN103218769A (en) | Taxi order allocation method | |
| CN108921762B (en) | Vehicle hybrid scheduling method, device and equipment | |
| CN110753078B (en) | Prompting method and device, electronic equipment and storage medium | |
| JP2016200984A (en) | Shared vehicle management apparatus | |
| CN113240926B (en) | Navigation control system for integrated area without planning parking space | |
| US20190122554A1 (en) | Smart parking management and navigation system | |
| JP2019219845A (en) | Vehicle management system and vehicle management method | |
| CN108763374B (en) | Driving path display method, device and equipment | |
| CN111242711A (en) | Information prompting method and device, electronic equipment and storage medium | |
| CN110706065A (en) | Order processing method and device, information display method and device and electronic equipment | |
| CN115497324B (en) | Method, apparatus, device and computer readable medium for controlling vehicle pickup | |
| CN117874372A (en) | Public transport voice broadcasting method, device, equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |