CN111523056A - Online taxi appointment order generation and distribution method and device - Google Patents

Abstract

The invention discloses a method for generating and distributing network taxi appointment orders, which comprises the following steps: acquiring the uploaded content and starting point position information of a terminal; similarity matching is carried out on the uploaded content and the storage library content; reading the geographical position information of the highest similarity storage content, and setting the geographical position information as the attribute of the uploaded content; generating an order based on the starting point position information and the attribute of the uploaded content; and screening out the target vehicle according to the order. By adopting the online taxi appointment order generation and distribution method provided by the invention, similarity matching is carried out according to the uploaded content of the terminal and the content of the storage library, the geographic position information is read, the order is automatically generated, and meanwhile, the target vehicle is screened and the order is dispatched, so that the complicated steps of subjectively judging the geographic position of the uploaded content and starting taxi-taking software to call the vehicle are omitted, and the trip experience and trip efficiency of a user are greatly improved.

Description

A method and device for generating and distributing online car-hailing orders

technical field

The present invention relates to the technical field of network communication, and in particular, to a method and device for generating and distributing an online car-hailing order.

Background technique

In recent years, with the continuous development of science and technology, people's material and cultural life has been continuously improved, and the public's requirements for spiritual and cultural life have gradually increased. Especially with the vigorous development of Internet mobile technology, more and more video blog products have been applied on mobile Internet devices, such as Douyin, Weishi and other series of APPs, because of their rich content and unique expression, they are widely used. The promotion and publicity, as well as the convenient visualization, have deeply attracted the attention of the public. However, when the public resonates with the content of video blogs through a series of apps such as Douyin and Weishi, the convenience requirement of "one-click to the destination" cannot be achieved. It is necessary to subjectively judge the geographical location of the content according to the content of the video blog, and then query the specific location and travel information through the map platform, and choose to take a taxi or drive or take public transportation equipment according to the travel information. When choosing to take a taxi, you need to select the vehicle type after starting the taxi platform, and then enter the corresponding starting and ending information and a series of tedious steps; when choosing to drive by car, you need to start the navigation platform, and then enter the corresponding starting and ending information. , and then select the lengthy steps such as the navigation route according to the traffic conditions; when taking public transportation equipment, you also need to check the location of the public transportation equipment according to the specific location, and then go to the address of the public transportation equipment. The above methods are extremely cumbersome and reduce the travel experience and travel efficiency of users.

SUMMARY OF THE INVENTION

The technical problem to be solved by the present invention is to provide a method and device for generating and distributing online car-hailing orders, so as to solve the problem that in the prior art, when taking a taxi or driving to the location of the content displayed in the video blog, it needs to subjectively judge the content displayed in the video blog. A series of tedious processes such as selecting the taxi platform or starting the navigation system, selecting the vehicle type, and inputting the starting and ending information have reduced the problems of user travel experience and travel efficiency.

In view of this, the present invention provides a method for generating and assigning online car-hailing orders, the method for generating and assigning orders includes:

Obtain the uploaded content and starting point location information of the terminal;

Perform similarity matching between the uploaded content and the repository content to obtain the highest similarity stored content;

Read the geographic location information of the highest similarity stored content, and set the geographic location information as an attribute of the uploaded content;

generating an order based on the origin location information and the attributes of the uploaded content;

The target vehicle is filtered out according to the order.

Further, the uploaded content includes at least one or more of video files, pictures, titles or tags.

Specifically, the steps of performing similarity matching between the uploaded content and the repository content are:

When the uploaded content includes a video file, the video file is subjected to frame extraction processing into a comparison picture;

Similarity matching is performed between the comparison pictures and repository contents.

Specifically, the steps of filtering out the target vehicle according to the order are:

Filter out candidate vehicles according to the order, and calculate the priority score of the candidate vehicles;

The candidate vehicle with the highest priority score is selected as the target vehicle, and the order is dispatched to the target vehicle.

Specifically, the step of screening out candidate vehicles according to the order includes:

Acquiring operating vehicles within a divided area with the starting point position information as the center and a preset distance as the radius; and setting the operating vehicles as candidate vehicles.

Specifically, the step of calculating the priority score of the candidate vehicle includes:

respectively calculating the distance between the candidate vehicle and the starting point position information;

Calculate the first priority score of the candidate vehicle according to the distance respectively;

calculating a second priority score for the candidate vehicle based on the order;

calculating a priority score according to the first priority score and the second priority score;

According to the priority score, it is divided into a first priority, a second priority and so on from high to low.

Specifically, the steps of selecting the candidate vehicle with the highest priority score as the target vehicle are:

The candidate vehicle with the first priority is selected as the target vehicle.

Further, after selecting the candidate vehicle of the first priority as the target vehicle, the order generation matching method includes:

judging whether the candidate vehicle of the first priority is invalid;

If not, select the candidate vehicle of the second priority as the target vehicle.

Further, after the order is dispatched to the target vehicle, the order generation and distribution method further includes:

Feedback the attribute, order and target vehicle information of the uploaded content to the terminal.

Correspondingly, the present invention also discloses a car-hailing order generation and distribution device, the order generation and distribution device comprising:

an acquisition unit, used to acquire the uploaded content and starting point location information of the terminal;

a matching unit, configured to perform similarity matching between the uploaded content and the repository content;

Generation unit for generating orders;

The screening unit is used to filter out the target vehicle.

Implementing the embodiment of the present invention has the following beneficial effects:

The invention discloses a method and device for generating and distributing an online car-hailing order. According to the similarity matching between the uploaded content of the terminal and the content of the repository, and reading the geographical location information, the order is automatically generated, and the target vehicle is screened and the order is dispatched at the same time. It eliminates the tedious steps of subjectively judging the geographic location of the uploaded content and starting the taxi software to call the vehicle, which greatly improves the user's travel experience and travel efficiency.

Description of drawings

In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or in the prior art, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description The drawings are only some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

1 is a schematic flowchart of a method for generating and distributing an online car-hailing order provided by an embodiment of the present invention;

2 is a schematic flowchart of a method for calculating the priority score of the candidate vehicle provided by an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of a device for generating and distributing a car-hailing order according to an embodiment of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiment is only one embodiment of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

It should be noted that "embodiments" referred to herein refer to specific features, structures or characteristics that may be included in at least one implementation of the present invention. In the description of the present invention, the terms "first" and "second" are only used for the purpose of description, and cannot be understood as indicating or implying relative importance or implying the quantity of the indicated technical features. The features of "first" and "second" may expressly or implicitly include one or more of such features. In addition, the terms "first" and "second" are used to distinguish similar objects, and are not used to describe a specific order or sequence. It is to be understood that such usage data can be interchanged under appropriate circumstances so that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "being", and any form of variation thereof, are intended to cover non-exclusive inclusion, for example, including a series of steps and elements, not necessarily limited to which steps and elements are explicitly listed, but can Include other steps and elements not expressly listed or for the methods and apparatus herein.

Example

Please refer to FIG. 1 , which is a schematic flowchart of a method for generating and assigning online car-hailing orders provided by an embodiment of the present invention. This specification provides steps as shown in the flowchart, but routine or non-creative work may include: More or fewer steps. In the actual generation and allocation process, it can be performed according to the flow steps shown in the accompanying drawings. The order generation and distribution method includes:

S110 obtains the uploaded content and starting point location information of the terminal;

It should be noted that, in the embodiment of this specification, the uploaded content is the content of a video blog, and the uploaded content at least includes one or more of video files, pictures, titles or tags. Users can upload or shoot video files or pictures of the video blog, or fill in the title or tag of the video blog.

S120, performing similarity matching between the uploaded content and the repository content to obtain the highest similarity stored content;

In the embodiment of this specification, the step of performing similarity matching between the uploaded content and the repository content is when the uploaded content includes a video file, performing frame extraction processing on the video file into a comparison picture; comparing the comparison picture with Repository content for similarity matching. The repository content includes street view images and content libraries stored by the mobile device. The content library includes a content address library, a content title library and a content file library.

S130 reads the geographic location information of the highest similarity stored content, and sets the geographic location information as an attribute of the uploaded content;

S140 generates an order based on the origin location information and the attribute of the uploaded content;

In the embodiment of this specification, the order includes: location information of a pick-up point, location information of a drop-off point, total fare and discount information.

S150 filters out the target vehicle according to the order.

In the embodiment of this specification, the step of screening out the target vehicle according to the order includes screening out candidate vehicles according to the order, calculating the priority score of the candidate vehicle, selecting the candidate vehicle with the highest priority score as the target vehicle, and sending The target vehicle dispatches the order. Wherein, the step of screening out the candidate vehicles according to the order includes acquiring the operating vehicles within a divided area with the starting point position information as the center and a preset distance as the radius; and setting the operating vehicles as candidate vehicles. The preset distance may be specifically 3 kilometers.

In the embodiment of this specification, after calculating the priority score of the candidate vehicle, the order generation and distribution method further includes dividing the priority score into a first priority, a second priority, and so on in order from high to low. .

In the embodiment of this specification, the above-mentioned method for generating and assigning an online car-hailing order further includes selecting a candidate vehicle with the highest priority score as a target vehicle, and dispatching the order to the target vehicle.

In the embodiment of this specification, the step of selecting the candidate vehicle with the highest priority score as the target vehicle is to select the candidate vehicle with the first priority as the target vehicle. After selecting the candidate vehicle of the first priority as the target vehicle, the order generation and matching method further includes:

judging whether the candidate vehicle of the first priority is invalid;

If not, select the candidate vehicle of the second priority as the target vehicle,

If so, select the candidate vehicle of the first priority as the target vehicle.

In the embodiments of the present specification, the failure of the candidate vehicle means that the candidate vehicle is preempted.

In the embodiment of this specification, the above-mentioned method for generating and distributing an online car-hailing order further includes feeding back to the terminal the attribute, order and target vehicle information of the uploaded content.

Specifically, as shown in FIG. 2 , it is a schematic flowchart of a method for calculating the priority score of the candidate vehicle.

The step of calculating the priority score of the candidate vehicle includes:

S210 respectively calculate the distance between the candidate vehicle and the starting point position information;

S220 respectively calculating the first priority score of the candidate vehicle according to the distance;

In the embodiment of this specification, the corresponding relationship between the first priority score of the candidate vehicle and the distance is shown in Table 1.

Table 1

Distance between candidate vehicle and starting point first priority score more than 3 kilometers 0 2-3 km 5 1-2 km 10 within 1 km 20

S230 calculates the second priority score of the candidate vehicle according to the order;

In the embodiment of this specification, calculating the second priority score of the candidate vehicle according to the order is specifically based on the total fare and discount information in the order, and in combination with the user's sensitivity to discounts, the user is sensitive to discounts. The degree of sensitivity of the user can be the frequency of using discount coupons and points when the user uses the taxi software on a daily basis, and the second priority score of the candidate vehicle is calculated. The corresponding table of the first priority score is shown in Table 2.

Table 2

Total fare and discount information User sensitivity to discounts Second priority score Low Low 10 Low middle 3 Low high 0 middle Low 20 middle middle 25 middle high 30 high Low 30 high middle 60 high high 90

S240 calculates a priority score according to the first priority score and the second priority score.

In the embodiment of this specification, the calculating the priority score according to the first priority score and the second priority score is specifically: calculating the sum of the first priority score and the second priority score as the priority score.

Please refer to FIG. 3 , which is a schematic structural diagram of an online car-hailing order generating and distributing device provided by an embodiment of the present invention. This specification provides the units as described in the structural schematic diagram, but based on sung or non-creative work More or fewer units may be included. In actual composition, it can be composed according to the structural schematic diagram described in the accompanying drawings. The order generation and distribution device includes:

an obtaining unit 310, configured to obtain the uploaded content and starting point location information of the terminal;

a matching unit 320, configured to perform similarity matching between the uploaded content and the repository content;

a generating unit 330, configured to generate an order;

The screening unit 340 is used for screening out the target vehicle.

In the embodiment of this specification, the above-mentioned order generation and distribution device further includes:

a priority score calculation unit, configured to calculate the priority score of the candidate vehicle;

a distribution unit for dispatching the order to the target vehicle.

Implementing the embodiment of the present invention has the following beneficial effects:

Using the order generation and distribution method provided by this embodiment, the similarity matching is performed between the uploaded content of the terminal and the content of the repository, and the geographic location information is read to automatically generate the order, and at the same time, the target vehicle is screened and the order is dispatched, eliminating the need to subjectively judge the uploaded content. The geographical location and the tedious steps of starting the taxi software to call the vehicle have greatly improved the user's travel experience and travel efficiency.

It should be noted that the above-mentioned order of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments, and the above-mentioned specific embodiments of the present specification are described, and other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that in the embodiments and achieve desirable results. Additionally, the processes depicted in the figures do not necessarily require the particular order, or sequential order, shown to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the apparatus embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for related parts.

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above embodiments can be accomplished by hardware, or can be accomplished by instructing relevant hardware by a program, and the program can be stored in a computer-readable medium.

The above are the preferred embodiments of the present invention. It should be pointed out that for those skilled in the art, without departing from the principles of the present invention, several improvements and modifications can be made, and these improvements and modifications may also be regarded as It is the protection scope of the present invention.

Claims (10)

1. A network taxi appointment order generation and distribution method is characterized by comprising the following steps:

acquiring the uploaded content and starting point position information of a terminal;

performing similarity matching on the uploaded content and the content in the storage library to obtain the stored content with the highest similarity;

reading the geographical position information of the highest similarity storage content, and setting the geographical position information as the attribute of the uploaded content;

generating an order based on the starting point position information and the attribute of the uploaded content;

and screening out the target vehicle according to the order.

2. The method as claimed in claim 1, wherein the uploaded content includes at least one or more of video files, pictures, titles or labels.

3. The method as claimed in claim 2, wherein the step of matching similarity between the uploaded content and the content in the repository comprises:

when the uploaded content comprises a video file, performing frame extraction processing on the video file to obtain a contrast picture;

and performing similarity matching on the comparison picture and the content of the storage library.

4. The method as claimed in claim 1, wherein the step of screening out the target vehicle according to the order comprises:

screening out candidate vehicles according to the orders, and calculating priority scores of the candidate vehicles;

and selecting the candidate vehicle with the highest priority score as a target vehicle, and dispatching the order to the target vehicle.

5. The method as claimed in claim 4, wherein the step of screening out candidate vehicles according to the order comprises:

acquiring an operating vehicle in a divided region with a preset distance as a radius by taking the starting point position information as a center;

setting the operating vehicle as a candidate vehicle.

6. The method of claim 4, wherein the step of calculating the priority score of the candidate vehicle comprises:

calculating distances between the candidate vehicles and the starting point position information respectively;

respectively calculating first priority scores of the candidate vehicles according to the distances;

calculating a second priority score of the candidate vehicle according to the order;

calculating a priority score according to the first priority score and the second priority score;

the priority scores are divided into a first priority, a second priority … and the like from high to low.

7. The method for generating and allocating the online taxi appointment orders according to claim 6, wherein the step of selecting the candidate vehicle with the highest priority score as the target vehicle comprises the following steps:

and selecting the candidate vehicle with the first priority as the target vehicle.

8. The network taxi appointment order generation and distribution method according to claim 7, wherein after the candidate vehicle with the first priority is selected as the target vehicle, the order generation and matching method comprises the following steps:

judging whether the candidate vehicle with the first priority is invalid or not;

and if not, selecting the candidate vehicle with the second priority as the target vehicle.

9. The network appointment order generation and distribution method according to claim 1, wherein after the order is dispatched to the target vehicle, the order generation and distribution method further comprises:

and feeding back the attributes, the orders and the target vehicle information of the uploaded contents to the terminal.

10. An order generation and distribution device for online booking trains, characterized in that the order generation and distribution device comprises:

the acquisition unit is used for acquiring the uploading content and the starting point position information of the terminal;

the matching unit is used for matching the similarity of the uploaded content and the content of the storage library;

a generating unit for generating an order;

and the screening unit is used for screening out the target vehicle.

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