CN113129055A - Riding fee calculation method, system, terminal device and storage medium - Google Patents
Riding fee calculation method, system, terminal device and storage medium Download PDFInfo
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Abstract
The application provides a riding expense calculation method, a system, terminal equipment and a storage medium, wherein the method comprises the following steps: acquiring a parameter value of a price adjusting parameter in a trip journey to be carried out, and carrying out price adjusting detection on the parameter value of the price adjusting parameter; if any price adjusting parameter meets the price adjusting condition, adjusting the travel cost of the travel journey to be carried out according to the price adjusting parameter to obtain price adjusting cost, and calculating the price overflowing ratio between the price adjusting cost and the travel cost; and if the overflow price ratio is less than or equal to the ratio threshold value, setting the price adjusting cost as the riding cost of the trip to be carried out. If any price-adjusting parameter meets the corresponding price-adjusting condition, the trip cost of the trip is treated through adjustment, the price of the trip to be treated meeting the price-adjusting condition can be automatically adjusted, the probability of the trip to be called is increased by adopting a mode of adjusting the trip cost, and the price-overflowing proportion between the price-adjusting cost and the trip cost is calculated, so that the size judgment between the price-overflowing proportion and the proportion threshold value is ensured.
Description
Technical Field
The application belongs to the technical field of intelligent transportation, and particularly relates to a riding expense calculation method, a riding expense calculation system, terminal equipment and a storage medium.
Background
With the advent of the mobile internet era, the way of going out by calling a network to make a car appointment through a mobile device is becoming more and more common. The net appointment car is used as a supplement of the traditional taxi service, and attracts passengers with the characteristics of cleanness, convenience, flexibility and the like. The calculation of the riding cost is taken as an important step in the user traveling process, and the user traveling experience is directly influenced, so that the problem of calculating the riding cost is more and more emphasized by people.
The existing riding expense calculation is directly carried out on the basis of the travel mileage of the travel trip to be treated, when the travel mileage of the travel trip to be treated is less and the riding expense is lower, the order receiving probability of the network car reservation driver on the travel trip to be treated is lower, so that the order taking time of the travel trip to be treated is longer, and the traveling experience of a user is reduced.
Disclosure of Invention
The embodiment of the application provides a riding expense calculation method, a riding expense calculation system, terminal equipment and a storage medium, and aims to solve the problem that in the existing riding expense calculation process, the riding expense is directly calculated based on the trip mileage of a trip to be carried out, so that the order taking probability is low.
In a first aspect, an embodiment of the present application provides a riding cost calculation method, where the method includes:
acquiring parameter values of price adjusting parameters in a trip to be performed, and performing price adjusting detection on the parameter values of the price adjusting parameters, wherein the price adjusting detection is used for detecting whether the parameter values of the price adjusting parameters meet price adjusting conditions or not, the price adjusting parameters comprise one or more parameter combinations of order density corresponding to a trip end point in the trip to be performed, a trip distance of the trip to be performed and departure time of the trip to be performed, and the order density is used for representing the order quantity of a terminal area corresponding to the trip end point in a first preset time period;
if the parameter value of any price adjusting parameter meets the price adjusting condition, adjusting the travel cost of the travel journey to be traveled according to the price adjusting parameter to obtain price adjusting cost, and calculating the price overflowing ratio between the price adjusting cost and the travel cost;
and if the overflow price ratio is less than or equal to a ratio threshold value, setting the price adjusting cost as the riding cost of the trip to be carried out.
Compared with the prior art, the embodiment of the application has the advantages that: the trip travel price adjusting method has the advantages that price adjustment detection is carried out on parameter values of price adjustment parameters, whether price adjustment needs to be carried out on a trip travel or not can be effectively judged, if any price adjustment parameter meets a corresponding price adjustment condition, trip expenses of the trip travel to be carried out are adjusted according to the price adjustment parameter, and therefore price adjustment can be automatically carried out on the trip travel to be carried out which meets the price adjustment condition.
Further, the obtaining of the parameter value of the price adjustment parameter in the trip to be performed includes:
generating the terminal area according to the travel terminal, and calculating the difference between the starting time and the preset interval time to obtain the detection time;
and acquiring the quantity of travel orders of a travel end point in the end point region within the first preset time period to obtain the order density, wherein the starting time node and the ending time node of the first preset time period are the detection time and the departure time respectively.
Further, the adjusting the travel cost of the travel trip to be performed according to the price adjustment parameter further includes, after obtaining the price adjustment cost:
acquiring a riding record of the user corresponding to the trip journey to be taken, wherein the riding record comprises the trip journey of the user, riding times, and riding amount and preferential amount corresponding to the trip journey;
inputting the riding record into a pre-trained sensitivity estimation model for sensitivity analysis to obtain a price sensitivity corresponding to the user, wherein the price sensitivity is used for representing the incidence relation between the preferential amount and the riding times;
and if the price sensitivity is greater than a sensitivity threshold, carrying out sum discount aiming at the price adjusting cost, and sending discount information to the user.
Further, the adjusting price detection of the parameter value of the adjusting price parameter includes:
judging whether the order density is greater than a first density threshold value;
if the order density is larger than the first density threshold value, judging that the order density meets the price adjusting condition;
judging whether the trip mileage is less than a mileage threshold value;
if the trip mileage is smaller than the mileage threshold value, judging that the trip mileage meets the price adjustment condition;
judging whether the starting time is within a second preset time period or not;
and if the departure time is within the second preset time period, judging that the departure time meets the price adjustment condition.
Further, the adjusting the trip cost of the trip journey to be waited according to the price adjusting parameter to obtain price adjusting cost includes:
if the parameter value of the price adjusting parameter meets the price adjusting condition, inquiring a price adjusting coefficient corresponding to the parameter value of the price adjusting parameter, and calculating price adjusting cost according to the price adjusting coefficient and the travel cost;
the calculation formula for calculating the price adjustment cost according to the price adjustment coefficient and the travel cost is as follows:
S＝(N+1)*P
wherein, S is the price adjustment cost, N is the sum of the searched price adjustment coefficients corresponding to the parameter values of different price adjustment parameters, and P is the travel cost.
Further, the price adjustment parameters further include a density of the to-be-accepted orders, the obtaining of the parameter value of the price adjustment parameter in the to-be-taken travel and price adjustment detection of the parameter value of the price adjustment parameter include:
generating a starting point area according to the travel starting point in the travel route, and acquiring the number of the vehicles to be singled in the starting point area to obtain the density of the singles to be singled;
judging whether the density of the to-be-connected bill is smaller than a second density threshold value;
and if the density of the order to be received is smaller than the second density threshold value, judging that the density of the order to be received meets the price adjusting condition.
Further, after calculating the premium ratio between the price adjustment cost and the travel cost, the method further includes:
and if the price overflowing ratio is larger than the ratio threshold, calculating the riding cost according to the ratio threshold and the travel cost.
In a second aspect, an embodiment of the present application provides a fare calculation system, including:
the price adjusting detection module is used for obtaining parameter values of price adjusting parameters in a trip journey to be traveled and carrying out price adjusting detection on the parameter values of the price adjusting parameters, wherein the price adjusting detection is used for detecting whether the parameter values of the price adjusting parameters meet price adjusting conditions or not, the price adjusting parameters comprise one or more parameter combinations in the journey end point in the trip journey to be traveled, the trip mileage of the trip journey to be traveled and the starting time of the trip journey to be traveled, and the order density is used for representing the order quantity of a terminal area corresponding to the trip end point in a first preset time period;
the expense price adjusting module is used for adjusting the travel expense of the travel journey to be traveled according to the price adjusting parameter to obtain price adjusting expense and calculating the price overflowing ratio between the price adjusting expense and the travel expense if the parameter value of any price adjusting parameter meets the price adjusting condition; and if the overflow price ratio is less than or equal to a ratio threshold value, setting the price adjusting cost as the riding cost of the trip to be carried out.
In a third aspect, an embodiment of the present application provides a terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the method described above.
In a fourth aspect, the present application provides a storage medium storing a computer program, and when the computer program is executed by a processor, the computer program implements the method as described above.
In a fifth aspect, the present application provides a computer program product, which when run on a terminal device, causes the terminal device to execute the ride cost calculation method according to any one of the first aspect.
It is understood that the beneficial effects of the second aspect to the fifth aspect can be referred to the related description of the first aspect, and are not described herein again.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the embodiments or the description of the prior art will be briefly described below.
Fig. 1 is a flowchart of a fare calculation method according to a first embodiment of the present application;
FIG. 2 is a flow chart of a fare calculation method according to a second embodiment of the present application;
fig. 3 is a schematic structural diagram of a fare calculation system according to a third embodiment of the present application;
fig. 4 is a schematic structural diagram of a terminal device according to a fourth embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
Example one
Referring to fig. 1, a flow chart of a fare calculation method according to a first embodiment of the present application is shown, which includes the steps of:
step S10, obtaining the parameter value of price adjustment parameter in the journey to be carried out, and carrying out price adjustment detection on the parameter value of the price adjustment parameter;
the price adjusting detection is used for detecting whether a parameter value of a price adjusting parameter meets a price adjusting condition, the price adjusting parameter comprises one or a combination of multiple parameters of order density corresponding to a travel end point in a travel trip to be carried out, a travel mileage of the travel trip to be carried out and a departure time of the travel trip to be carried out, and the order density is used for representing the order quantity of an end point area corresponding to the travel end point in a first preset time period;
in the step, price adjustment detection is carried out on the parameter values of the price adjustment parameters, whether price adjustment is needed for the journey to be traveled can be effectively judged, and if the parameter values of all the price adjustment parameters do not meet the price adjustment conditions, it is judged that price adjustment is not needed for the journey to be traveled.
Step S20, if the parameter value of any price adjusting parameter meets the price adjusting condition, adjusting the travel cost of the travel trip to be carried out according to the price adjusting parameter to obtain price adjusting cost, and calculating the price overflowing ratio between the price adjusting cost and the travel cost;
in the step, if a parameter value of any price adjustment parameter meets a price adjustment condition, it is determined that price adjustment needs to be performed on the trip by trip.
When the trip mileage meets the price adjustment condition, the trip mileage is judged to be short, so that the trip cost of the trip to be waited is low, therefore, the trip cost is increased to attract a net car booking driver to pick up the order of the trip to be waited, and the probability of picking up the order of the trip to be waited is further improved.
When the departure time meets the price adjustment condition, the departure time is judged to be within the taxi taking peak time period, so that the taxi taking driver is attracted to the taxi taking route to be taken by the taxi taking network in a mode of increasing the trip cost, and the probability of taking the taxi taking route is improved.
Specifically, in this step, the adjusting the trip cost of the trip to be performed according to the price adjustment parameter to obtain a price adjustment cost includes:
if the parameter value of the price adjusting parameter meets the price adjusting condition, inquiring a price adjusting coefficient corresponding to the parameter value of the price adjusting parameter, and calculating price adjusting cost according to the price adjusting coefficient and the travel cost;
the method comprises the steps of acquiring a price adjustment parameter table, wherein under the same price adjustment parameter, the price adjustment coefficients corresponding to different parameter values are different, if the parameter value of the price adjustment parameter meets a price adjustment condition, inquiring the price adjustment coefficient table corresponding to the price adjustment parameter, wherein the price adjustment coefficient table corresponding to the different price adjustment parameters is different, matching the parameter value of the price adjustment parameter with the price adjustment coefficient table to obtain the price adjustment coefficient corresponding to the parameter value of the price adjustment parameter, and the price adjustment coefficient table stores the corresponding relation between the price adjustment parameter and the corresponding price adjustment coefficient when the different parameter values exist.
Optionally, in this step, the calculation formula for calculating the price adjustment cost according to the price adjustment coefficient and the travel cost is as follows:
S＝(N+1)*P
wherein S is price adjustment cost, N is the sum of the searched price adjustment coefficients corresponding to the parameter values of different price adjustment parameters, and P is travel cost;
for example, when both the order density corresponding to the travel route to be traveled and the parameter value of the travel distance meet the price adjustment condition, the price adjustment coefficients corresponding to the parameter value of the order density and the parameter value of the travel distance are respectively obtained to obtain a first coefficient and a second coefficient, and the sum of the first coefficient and the second coefficient is calculated to obtain N.
In the step, the price-overflowing ratio is obtained by calculating the quotient between the price-adjusting cost and the travel cost, and the price-overflowing ratio between the price-adjusting cost and the travel cost is calculated, so that the judgment of the subsequent price-overflowing ratio and the ratio threshold value is effectively guaranteed, and the accuracy of the riding cost setting is improved.
Step S30, if the overflow price ratio is smaller than or equal to a ratio threshold value, setting the price adjusting cost as the riding cost of the travel to be carried out;
the proportion threshold value can be set according to requirements, the proportion threshold value is used for detecting whether the price adjusting proportion of the trip expenses to be waited for traveling exceeds a preset proportion, if the price overflowing proportion is smaller than or equal to the proportion threshold value, the price adjusting proportion of the trip expenses to be waited for traveling is judged not to exceed the preset proportion, and the probability that the trip expenses to be waited for are accepted is effectively improved by setting the price adjusting proportion as the riding expense of the trip expenses to be waited for traveling.
Optionally, in this step, after calculating the premium ratio between the price adjustment cost and the travel cost, the method further includes:
if the price overflowing ratio is larger than the ratio threshold, calculating the riding cost according to the ratio threshold and the travel cost;
if the price overflow ratio is greater than the ratio threshold, judging that the price adjusting ratio of the travel cost of the travel to be traveled exceeds a preset ratio, and calculating the travel cost according to the ratio threshold and the travel cost, so that the phenomenon that the price of the travel cost of the travel to be traveled is too high is effectively prevented, and the riding experience of a user corresponding to the travel to be traveled is further guaranteed;
for example, when the travel cost of the travel trip is 100 yuan, the price adjustment cost obtained after price adjustment is 150 yuan, and the proportional threshold is 130%, since the price overflow proportion (150%) is greater than the proportional threshold, the product of the travel cost and the proportional threshold is calculated to obtain 120 yuan, and the riding cost corresponding to the travel trip to be processed is determined to be 120 yuan.
For example, when the travel cost of the travel trip is 100 yuan, the price adjustment cost obtained after price adjustment is 120 yuan, and the proportion threshold is 130%, the premium proportion (120%) is smaller than the proportion threshold, and therefore the riding cost corresponding to the travel trip is 120 yuan.
Further, in this embodiment, after the adjusting the trip cost of the trip to be performed according to the price adjustment parameter to obtain the price adjustment cost, the method further includes:
acquiring a riding record of the user corresponding to the trip journey to be taken, wherein the riding record comprises the trip journey of the user, riding times, riding amount corresponding to the trip journey and preferential amount;
inputting the riding record into a pre-trained sensitivity estimation model for sensitivity analysis to obtain the price sensitivity corresponding to the user;
the price sensitivity is used for representing the incidence relation between preferential amount and riding times, the pre-trained sensitivity estimation model is used for evaluating the price sensitivity of a user corresponding to a trip to be waited for to the preferential amount according to a riding record, and when the price sensitivity corresponding to the user is higher, the higher the demand of the user for preferential riding is judged;
if the price sensitivity is larger than a sensitivity threshold, carrying out sum discount aiming at the price adjusting cost, and sending discount information to the user;
the sensitivity threshold can be set according to requirements, and is used for judging whether the demand of the user for giving preference to the trip route is greater than the preset demand or not, if the price sensitivity is greater than the sensitivity threshold, the demand of the user for giving preference to the trip route is greater than the preset demand, and therefore the price adjustment cost is used for giving preference to money to improve the probability of ordering the trip route by the user.
In the embodiment, price adjustment detection is carried out on the parameter values of the price adjustment parameters, whether price adjustment needs to be carried out on the trip journey or not can be effectively judged, if any price adjustment parameter meets the corresponding price adjustment condition, the trip cost of the trip journey to be treated is increased according to the price adjustment parameter, so that price adjustment can be automatically carried out on the trip journey to be treated meeting the price adjustment condition, the trip cost is increased, the probability that the trip journey to be treated is accepted is effectively increased, and the judgment on the size between the price overflow proportion and the proportion threshold value is effectively guaranteed by calculating the price overflow proportion between the price adjustment cost and the trip cost.
Example two
Please refer to fig. 2, which is a flowchart of a fare calculation method according to a second embodiment of the present application, where the second embodiment is used to refine step S10, and includes:
step S11, generating a terminal area according to the travel terminal, and calculating the difference between the starting time and the preset interval time to obtain the detection time;
wherein, use this stroke terminal point as the origin, preset the distance and draw preset the figure as the radius, obtain this terminal point region, this preset the distance and preset the figure and all can set up according to the demand, for example, this preset the distance can set up to 1 kilometer, 2 kilometers or 3 kilometers etc. should preset the distance and can set up to circular, triangle-shaped or direction etc..
In this step, the preset interval time may be set according to a requirement, for example, the preset interval time may be set to 10 minutes, 20 minutes, 30 minutes, or the like, and for example, when the departure time is 8 minutes to 10 minutes, and the preset interval time is 10 minutes, the calculated detection time is 8 points.
Step S12, obtaining the quantity of travel orders at the travel end point in the end point region within the first preset time period to obtain the order density, and obtaining the travel mileage and the departure time in the travel to be traveled to obtain the parameter value of the price adjustment parameter;
the start time node and the end time node of the first preset time period are the detection time and the departure time, respectively, for example, when the calculated detection time is 8 points and the departure time is 8 points and 10 minutes, the first preset time period is 8 points to 8 points and 10 minutes.
In the step, based on the terminal area and the first preset time period, the number of travel orders in the terminal area of the travel in the first preset time period can be accurately obtained, order density corresponding to the travel to be taken is obtained, and the travel distance and the departure time in the travel to be taken are respectively obtained, so that the parameter value of the price adjusting parameter is obtained.
Optionally, in this step, as for step S10, the performing price adjustment detection on the parameter value of the price adjustment parameter includes:
judging whether the order density is greater than a first density threshold value, wherein the first density threshold value can be set according to requirements, the first density threshold value is used for judging whether an end point area corresponding to the order density is a hot spot area, and if the end point area is the hot spot area, the number of travel orders in the end point area at the travel end point is greater than a quantity threshold value within a first preset time period;
if the order density is greater than the first density threshold value, judging that the order density meets the price adjusting condition, wherein if the order density is greater than the first density threshold value, judging that a terminal area corresponding to the order density is a hot spot area, and because the terminal area corresponding to the order density is the hot spot area, the order taking probability of a net appointment driver for the trip to be treated is improved by adopting a mode of increasing trip cost for the trip to be treated, namely, the order density meets the price adjusting condition and the price of the trip to be treated is adjusted;
judging whether the trip mileage is smaller than a mileage threshold, wherein the mileage threshold can be set according to requirements and is used for judging whether a to-be-trip corresponding to the trip mileage is a short-distance trip;
if the trip mileage is smaller than the mileage threshold value, judging that the trip mileage meets the price adjusting condition, wherein if the trip mileage is smaller than the mileage threshold value, judging that the trip to be processed corresponding to the trip mileage is a short-distance trip, and because the trip cost of the trip to be processed corresponding to the short-distance trip is lower, the trip cost is required to be increased by adopting a trip cost increasing mode for the trip to be processed, so that the order taking probability of a net car booking driver to the trip to be processed is improved, namely, the trip mileage meets the price adjusting condition and the price of the trip to be processed is required to be adjusted;
judging whether the departure time is within a second preset time period, wherein the second preset time period can be set according to requirements, and the second preset time period is used for judging whether a trip to be carried out corresponding to the departure time is carried out in a peak time period;
if the departure time is in the second preset time period, the departure time is judged to meet the price adjusting condition, wherein if the departure time is in the second preset time period, the trip to be treated corresponding to the departure time is judged to be a trip in a peak time period, so that the trip cost is required to be increased by adopting a mode of increasing the trip cost for the trip to be treated, the order taking probability of the trip to be treated by the net car reservation driver is improved, namely, the departure time meets the price adjusting condition, and the price of the trip to be treated is required to be adjusted.
Optionally, in this step, the price adjustment parameter further includes a density of the to-be-accepted orders, the obtaining a parameter value of the price adjustment parameter in the to-be-taken travel route, and performing price adjustment detection on the parameter value of the price adjustment parameter includes:
generating a starting point region according to the travel starting point in the travel route, and acquiring the number of the vehicles to be singled in the starting point region to obtain the density of the singled to be singled, wherein the generation of the starting point region is the same as the generation of the ending point region, which is not described herein again, and the detailed description is please refer to the description in step S11;
judging whether the density of the order to be picked is smaller than a second density threshold value, wherein the second density threshold value can be set according to requirements and is used for judging whether the number of the vehicles to be picked in the starting point area is smaller than a number threshold value;
if the density of the to-be-received order is smaller than the second density threshold value, the density of the to-be-received order is judged to meet the price adjusting condition, wherein if the density of the to-be-received order is smaller than the second density threshold value, the number of the to-be-received orders in the starting point area is judged to be small, therefore, the outgoing fee is increased by the to-be-sent journey, the order receiving probability of the net appointment vehicle driver on the outgoing journey is improved, namely, the density of the to-be-received order meets the price adjusting condition, and the price of the to-be-sent journey is adjusted.
In the embodiment, the detection time is obtained by generating the destination area according to the travel destination and calculating the difference between the departure time and the preset interval time, so that the accuracy of calculating the order density is effectively improved, whether the destination area corresponding to the order density is a hot spot area can be accurately judged by judging whether the order density is greater than a first density threshold value or not, whether the order density meets the price adjusting condition or not is judged based on whether the destination area is the hot spot area or not, so that the accuracy of adjusting the travel destination to be traveled is improved, whether the travel to be traveled corresponding to the travel distance is a short-distance travel can be accurately judged by judging whether the travel distance is less than a threshold travel distance or not, so that whether the travel distance meets the price adjusting condition or not is judged, the accuracy of adjusting the travel destination to be traveled is improved, and whether the departure time is within a second preset time period or not is judged, whether the trip to be taken corresponding to the departure time is taken in the peak time period or not can be accurately judged so as to judge whether the departure time meets the price adjusting condition or not, and the accuracy of price adjustment of the trip to be taken is further improved.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a fare calculation system 100 according to a third embodiment of the present application, which corresponds to the fare calculation method described in the foregoing embodiment, and only shows the relevant parts of the embodiment of the present application for convenience of description.
Referring to fig. 3, the system includes: price adjustment detection module 10 and expense price adjustment module 11, wherein:
the price adjusting detection module 10 is configured to obtain a parameter value of a price adjusting parameter in a travel route to be traveled, and perform price adjusting detection on the parameter value of the price adjusting parameter, where the price adjusting detection is used to detect whether the parameter value of the price adjusting parameter meets a price adjusting condition, the price adjusting parameter includes an order density corresponding to a travel end point in the travel route to be traveled, and one or more parameter combinations in a travel distance of the travel route to be traveled and a departure time of the travel route to be traveled, and the order density is used to represent an order quantity of an end point area corresponding to the travel end point in a first preset time period.
Wherein, the price adjustment detection module 10 is further configured to: generating a terminal area according to the travel terminal, and calculating the sum of the starting time and the preset interval time to obtain the detection time;
and acquiring the quantity of travel orders of a travel end point in the end point region within the first preset time period to obtain the order density, wherein the starting time node and the ending time node of the first preset time period are the detection time and the departure time respectively.
Optionally, the price adjustment detection module 10 is further configured to: judging whether the order density is greater than a first density threshold value;
if the order density is larger than the first density threshold value, judging that the order density meets the price adjusting condition;
judging whether the trip mileage is less than a mileage threshold value;
if the trip mileage is smaller than the mileage threshold value, judging that the trip mileage meets the price adjustment condition;
judging whether the starting time is within a second preset time period or not;
and if the departure time is within the second preset time period, judging that the departure time meets the price adjustment condition.
Further, the price adjustment parameters further include a density of the to-be-accepted orders, the parameter values of the price adjustment parameters in the to-be-traveled trip are obtained, and the price adjustment detection module 10 is further configured to: generating a starting point area according to the travel starting point in the travel route, and acquiring the number of the vehicles to be singled in the starting point area to obtain the density of the singles to be singled;
judging whether the density of the to-be-connected bill is smaller than a second density threshold value;
and if the density of the order to be received is smaller than the second density threshold value, judging that the density of the order to be received meets the price adjusting condition.
The expense price adjusting module 11 is configured to adjust the travel expense of the travel trip to be performed according to the price adjusting parameter to obtain price adjusting expense if a parameter value of any one of the price adjusting parameters meets the price adjusting condition, and calculate a price overflowing ratio between the price adjusting expense and the travel expense; if the overflow price ratio is smaller than or equal to the ratio threshold value, setting the price adjusting cost as the riding cost of the trip to be waited, wherein the trip cost of the trip to be waited can be increased according to the price adjusting parameters so as to achieve the effect of adjusting the trip cost of the trip to be waited.
Wherein, the fee adjusting module 11 is further configured to: if the price adjusting parameter meets the price adjusting condition, inquiring a price adjusting coefficient corresponding to a parameter value of the price adjusting parameter, and calculating price adjusting cost according to the price adjusting coefficient and the travel cost;
the calculation formula for calculating the price adjustment cost according to the price adjustment coefficient and the travel cost is as follows:
S＝(N+1)*P
wherein, S is the price adjustment cost, N is the sum of the searched price adjustment coefficients corresponding to the parameter values of different price adjustment parameters, and P is the travel cost.
Further, the fee adjustment module 11 is further configured to: and if the price overflowing ratio is larger than the ratio threshold, calculating the riding cost according to the ratio threshold and the travel cost.
Optionally, the ride cost calculation system 100 further includes:
the taking discount module 12 is configured to obtain a taking record of the user corresponding to the trip route to be taken, where the taking record includes the trip route, the taking times of the user, and a taking amount and a discount amount corresponding to the trip route;
inputting the riding record into a pre-trained sensitivity estimation model for sensitivity analysis to obtain a price sensitivity corresponding to the user, wherein the price sensitivity is used for representing the incidence relation between the preferential amount and the riding times;
and if the price sensitivity is greater than a sensitivity threshold, carrying out sum discount aiming at the price adjusting cost, and sending discount information to the user.
In the embodiment, price adjustment detection is carried out on the parameter values of the price adjustment parameters, whether price adjustment needs to be carried out on the trip journey or not can be effectively judged, if any price adjustment parameter meets the corresponding price adjustment condition, the trip cost of the trip journey to be treated is increased according to the price adjustment parameter, so that price adjustment can be automatically carried out on the trip journey to be treated meeting the price adjustment condition, the trip cost is increased, the probability that the trip journey to be treated is accepted is effectively increased, and the judgment on the size between the price overflow proportion and the proportion threshold value is effectively guaranteed by calculating the price overflow proportion between the price adjustment cost and the trip cost.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/modules, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and reference may be made to the part of the embodiment of the method specifically, and details are not described here.
Fig. 4 is a schematic structural diagram of a terminal device 2 according to a fourth embodiment of the present application. As shown in fig. 4, the terminal device 2 of this embodiment includes: at least one processor 20 (only one processor is shown in fig. 4), a memory 21, and a computer program 22 stored in the memory 21 and executable on the at least one processor 20, the steps of any of the various method embodiments described above being implemented when the computer program 22 is executed by the processor 20.
The terminal device 2 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 20, a memory 21. Those skilled in the art will appreciate that fig. 4 is merely an example of the terminal device 2, and does not constitute a limitation of the terminal device 2, and may include more or less components than those shown, or combine some components, or different components, such as an input-output device, a network access device, and the like.
The Processor 20 may be a Central Processing Unit (CPU), and the Processor 20 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 21 may in some embodiments be an internal storage unit of the terminal device 2, such as a hard disk or a memory of the terminal device 2. The memory 21 may also be an external storage device of the terminal device 2 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 2. Further, the memory 21 may also include both an internal storage unit and an external storage device of the terminal device 2. The memory 21 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 21 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
An embodiment of the present application further provides a network device, where the network device includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, the processor implementing the steps of any of the various method embodiments described above when executing the computer program.
The embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in the above-mentioned method embodiments.
The embodiments of the present application provide a computer program product, which when running on a mobile terminal, enables the mobile terminal to implement the steps in the above method embodiments when executed.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/network device and method may be implemented in other ways. For example, the above-described apparatus/network device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
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 units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A ride cost calculation method, the method comprising:
acquiring parameter values of price adjusting parameters in a trip to be performed, and performing price adjusting detection on the parameter values of the price adjusting parameters, wherein the price adjusting detection is used for detecting whether the parameter values of the price adjusting parameters meet price adjusting conditions or not, the price adjusting parameters comprise one or more parameter combinations of order density corresponding to a trip end point in the trip to be performed, a trip distance of the trip to be performed and departure time of the trip to be performed, and the order density is used for representing the order quantity of a terminal area corresponding to the trip end point in a first preset time period;
if the parameter value of any price adjusting parameter meets the price adjusting condition, adjusting the travel cost of the travel journey to be traveled according to the price adjusting parameter to obtain price adjusting cost, and calculating the price overflowing ratio between the price adjusting cost and the travel cost;
and if the overflow price ratio is less than or equal to a ratio threshold value, setting the price adjusting cost as the riding cost of the trip to be carried out.
2. A riding cost calculating method according to claim 1, wherein the obtaining of the parameter value of the price-adjusting parameter in the trip to be performed includes:
generating the terminal area according to the travel terminal, and calculating the difference between the starting time and the preset interval time to obtain the detection time;
and acquiring the quantity of travel orders of a travel end point in the end point region within the first preset time period to obtain the order density, wherein the starting time node and the ending time node of the first preset time period are the detection time and the departure time respectively.
3. A riding cost calculating method according to claim 1, wherein the adjusting the travel cost of the travel trip to be taken according to the price adjusting parameter further comprises, after obtaining the price adjusting cost:
acquiring a riding record of the user corresponding to the trip journey to be taken, wherein the riding record comprises the trip journey of the user, riding times, and riding amount and preferential amount corresponding to the trip journey;
inputting the riding record into a pre-trained sensitivity estimation model for sensitivity analysis to obtain a price sensitivity corresponding to the user, wherein the price sensitivity is used for representing the incidence relation between the preferential amount and the riding times;
and if the price sensitivity is greater than a sensitivity threshold, carrying out sum discount aiming at the price adjusting cost, and sending discount information to the user.
4. A ride cost calculation method according to claim 1, wherein the performing price adjustment detection on the parameter value of the price adjustment parameter comprises:
judging whether the order density is greater than a first density threshold value;
if the order density is larger than the first density threshold value, judging that the order density meets the price adjusting condition;
judging whether the trip mileage is less than a mileage threshold value;
if the trip mileage is smaller than the mileage threshold value, judging that the trip mileage meets the price adjustment condition;
judging whether the starting time is within a second preset time period or not;
and if the departure time is within the second preset time period, judging that the departure time meets the price adjustment condition.
5. A riding cost calculating method according to claim 1, wherein the adjusting the travel cost of the travel trip to be taken according to the price adjusting parameter to obtain the price adjusting cost comprises:
if the parameter value of the price adjusting parameter meets the price adjusting condition, inquiring a price adjusting coefficient corresponding to the parameter value of the price adjusting parameter, and calculating price adjusting cost according to the price adjusting coefficient and the travel cost;
the calculation formula for calculating the price adjustment cost according to the price adjustment coefficient and the travel cost is as follows:
S＝(N+1)*P
wherein, S is the price adjustment cost, N is the sum of the searched price adjustment coefficients corresponding to the parameter values of different price adjustment parameters, and P is the travel cost.
6. A riding cost calculating method according to claim 1, wherein the price adjusting parameters further include density of to-be-accepted orders, the obtaining of parameter values of price adjusting parameters in a to-be-traveled trip and price adjusting detection of the parameter values of price adjusting parameters include:
generating a starting point area according to the travel starting point in the travel route, and acquiring the number of the vehicles to be singled in the starting point area to obtain the density of the singles to be singled;
judging whether the density of the to-be-connected bill is smaller than a second density threshold value;
and if the density of the order to be received is smaller than the second density threshold value, judging that the density of the order to be received meets the price adjusting condition.
7. A riding cost calculating method according to claim 1, wherein after calculating the premium ratio between the price adjustment cost and the travel cost, the method further comprises:
and if the price overflowing ratio is larger than the ratio threshold, calculating the riding cost according to the ratio threshold and the travel cost.
8. A fare calculation system, comprising:
the price adjusting detection module is used for obtaining parameter values of price adjusting parameters in a trip journey to be traveled and carrying out price adjusting detection on the parameter values of the price adjusting parameters, wherein the price adjusting detection is used for detecting whether the parameter values of the price adjusting parameters meet price adjusting conditions or not, the price adjusting parameters comprise one or more parameter combinations in the journey end point in the trip journey to be traveled, the trip mileage of the trip journey to be traveled and the starting time of the trip journey to be traveled, and the order density is used for representing the order quantity of a terminal area corresponding to the trip end point in a first preset time period;
the expense price adjusting module is used for adjusting the travel expense of the travel journey to be traveled according to the price adjusting parameter to obtain price adjusting expense and calculating the price overflowing ratio between the price adjusting expense and the travel expense if the parameter value of any price adjusting parameter meets the price adjusting condition; and if the overflow price ratio is less than or equal to a ratio threshold value, setting the price adjusting cost as the riding cost of the trip to be carried out.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 7 when executing the computer program.
10. A storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the method according to any one of claims 1 to 7.
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