CN112949879B - Travel reservation processing method and device - Google Patents
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Abstract
An embodiment of the present specification provides a travel reservation processing method and device, where the travel reservation processing method includes: determining the line time according to the travel information of the user; judging whether the travel time is in a travel peak time period of a corresponding time cycle; if so, sending a travel appointment reminder in a corresponding time period to the user at a reminding time point corresponding to the access flow inflection point in the travel peak period; and when the reservation access link contained in the travel reservation reminder is triggered, carrying out travel reservation processing based on the reservation information of the user.
Description
Technical Field
The present document relates to the technical field of data processing, and in particular, to a travel reservation processing method and apparatus.
Background
Along with the maturity of the network car booking service, more and more users can generally select a more convenient network car booking trip mode, the birth of the network car booking changes the traditional car booking mode, the characteristics of the mobile internet are utilized, the passenger car booking experience is optimized to the maximum extent, the communication cost of a driver and passengers is saved, the empty driving rate is reduced, the resources and time of the driver and the passenger are saved to the maximum extent, but the situations of supply less than demand can appear in a plurality of car booking scenes, such as morning and evening peaks, an enterprise gets off duty, extreme weather and the like, at the moment, the user can encounter the situations of difficult car booking and car non-booking, which is caused by the unbalanced distribution of the user demand and the running capacity.
Disclosure of Invention
One or more embodiments of the present specification A travel reservation processing method is provided. The travel reservation processing method comprises the following steps: and determining the line time according to the travel information of the user. Judging whether the travel time is in a travel peak time period of a corresponding time cycle; and if so, sending the travel appointment reminding in the corresponding time period to the user at the reminding time point corresponding to the access flow inflection point in the travel peak period. And when the reservation access link contained in the travel reservation reminder is triggered, carrying out travel reservation processing based on the reservation information of the user.
One or more embodiments of the present specification provide a travel reservation processing apparatus including: a determining module configured to determine a line time according to the trip information of the user. A judging module configured to judge whether the travel time is in a travel peak period of a corresponding time cycle; and if so, operating a reminding module, wherein the reminding module is configured to send a travel appointment reminder of a corresponding time period to the user at a reminding time point corresponding to the access flow inflection point in the travel peak period. And the processing module is configured to perform travel reservation processing based on the reservation information of the user under the condition that a reservation access link contained in the travel reservation reminder is triggered.
One or more embodiments of the present specification provide a travel reservation processing device including: a processor; and a memory configured to store computer executable instructions that, when executed, cause the processor to: and determining the line time according to the travel information of the user. Judging whether the travel time is in a travel peak time period of a corresponding time cycle; and if so, sending the travel appointment reminding in the corresponding time period to the user at the reminding time point corresponding to the access flow inflection point in the travel peak period. And when the reservation access link contained in the travel reservation reminder is triggered, carrying out travel reservation processing based on the reservation information of the user.
One or more embodiments of the present specification provide a storage medium storing computer-executable instructions that, when executed, implement the following: and determining the line time according to the travel information of the user. Judging whether the travel time is in a travel peak time period of a corresponding time cycle; and if so, sending the travel appointment reminding in the corresponding time period to the user at the reminding time point corresponding to the access flow inflection point in the travel peak period. And when the reservation access link contained in the travel reservation reminder is triggered, carrying out travel reservation processing based on the reservation information of the user.
Drawings
In order to more clearly illustrate one or more embodiments or technical solutions in the prior art in the present specification, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive exercise;
fig. 1 is a processing flow diagram of a travel reservation processing method according to one or more embodiments of the present disclosure;
FIG. 2 is a schematic flow growth curve provided in one or more embodiments herein;
fig. 3 is a processing flow diagram of a travel appointment processing method applied to a commute travel scene according to one or more embodiments of the present disclosure;
fig. 4 is a processing flow diagram of a travel reservation processing method applied to a temporary travel scene according to one or more embodiments of the present specification;
fig. 5 is a schematic diagram of a travel reservation processing apparatus according to one or more embodiments of the present disclosure;
fig. 6 is a schematic structural diagram of a travel reservation processing device according to one or more embodiments of the present specification.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in one or more embodiments of the present disclosure, the technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in one or more embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step, shall fall within the scope of protection of this document.
An embodiment of a travel reservation processing method provided by the present specification:
referring to fig. 1, which shows a processing flow chart of a travel reservation processing method provided by the present embodiment, referring to fig. 2, which shows a traffic growth curve diagram provided by the present embodiment, referring to fig. 3, which shows a processing flow chart of a travel reservation processing method applied to a commute travel scene provided by the present embodiment, referring to fig. 4, which shows a processing flow chart of a travel reservation processing method applied to a temporary travel scene provided by the present embodiment.
Referring to fig. 1, the travel reservation processing method provided in this embodiment specifically includes step S102 to step S108.
And step S102, determining the line time according to the travel information of the user.
In practical application, the online taxi booking and the taxi have transportation capacity, the transportation capacity of the taxi is smaller than the trip demand of a user in a trip peak time zone, the user can enter a long-time waiting order dispatching state by taking the taxi through a taxi taking platform under the limited transportation capacity of the vehicle, the trip time is not controllable, and the trip of the user is delayed. The travel appointment processing method provided by the embodiment provides a taxi taking appointment reminding service aiming at a travel plan at a specific time, reminds a user of reserving a vehicle at a time that the vehicle can be reserved in a short time to reserve the vehicle, concretely, firstly, the travel time of the user is determined, if the travel time of the user is in a peak time, the user sends an appointment reminding to the user at a time point before entering the peak time, and reminds the user of reserving the vehicle at the time point, so that the user can smoothly go out at the peak time, the user is prevented from being difficult to reserve the vehicle when entering the peak time, the travel experience of the user is improved, and the appointment processing is matched to provide more convenient travel appointment service for the user in advance.
The travel information includes a travel time, a travel start position and/or a travel end position submitted by a user. For example, the travel information submitted by the user is from p1 to p2 at9 months, 1 days and 8 points. The travel time includes: and determining the travel time of the corresponding time period according to the travel information, or predicting the specific travel time according to the travel information. For example, the travel information submitted by the user includes 9 months, 1 days, 8 points from the p1 place to the p2 place, and the travel time of the user is determined to be 9 months, 1 days, 8 points from the 9 months, 2 days, 8 points from the 9 months, 3 days, 8 points from the 9 months, 4 days, 8 points from the 9 months, and 5 days, 8 points from the 9 months; if the travel time is 9 months, 1 day and 8 points, the time period from 0 point to 24 points of the 9 months and 1 day is the corresponding time period of the travel time; for another example, the travel information submitted by the user includes 14 points of 9 months and 1 days for takeoff from an x airport, the current position is p1, and the predicted travel time of the user is 12 points of 9 months and 1 days.
It should be noted that, because the travel information of the user belongs to the privacy of the user to a certain extent, and it is necessary to obtain the authorization of the user to acquire the travel information of the user to ensure the privacy security of the user, in an optional implementation manner provided in this embodiment, before determining the travel time according to the travel information of the user, an authorization instruction of the user for the travel reservation service is first acquired, and then the travel information entered by the user is acquired based on the authorization instruction.
In specific implementation, in order to reduce the number of times that a user submits travel information and improve the convenience of using travel reservation service by the user, the travel types of the user are divided into a periodic travel type and a non-periodic travel type, wherein the periodic travel type refers to that the travel of the user has certain repeatability within a specific time period, for example, the user goes from p1 to p2 at 8 am every week; the non-periodic travel type has randomness, such as a user is on a business trip or a temporary travel, and for the travel type, the user is required to input corresponding travel information each time; in order to further improve the convenience of using the travel reservation service by the user, the travel time of the user can be predicted according to the specific travel information of the non-periodic travel type submitted by the user; for the periodic travel type, the travel time of the corresponding time period may be determined according to the travel information submitted by the user, and in an optional implementation manner provided in this embodiment, the travel time is determined specifically by the following method:
if the trip type of the user determined according to the trip information is a periodic trip type, calibrating a target trip time determined in a corresponding time period based on the trip time contained in the trip information as the trip time;
and if the travel type of the user determined according to the travel information is an aperiodic travel type, taking the target travel time predicted based on the travel information as the travel time.
For example, the travel type of the travel information submitted by the user is a commuting travel type, and the user needs to go from p1 to p2 at 8 points and go from p2 to p1 at 18 points, and then 8 points and 18 points of each day are determined as the travel time of the user according to the time submitted by the user for the first time and the starting position.
For another example, the travel type of the travel information submitted by the user is a vehicle receiving travel type, the vehicle leaves from an x airport at 14 points in 9 months and 1 day, the current position is a p1 place, and the travel time of the user is predicted at 12 points in 9 months and 1 day according to the distance from the p1 place to the x airport and the predicted travel flow.
In specific implementation, when a user does not have a travel demand, a reminder is sent to the user, which is easy to disturb the user, so as to further improve the use experience of the user and avoid user loss caused by frequent message reminding disturbance, in an optional implementation manner provided by this embodiment, after the travel time of the user is determined, whether the travel date of the travel time is a reminding period preset by the user is judged; if yes, executing step S104, and judging whether the travel time is in a travel peak time period of a corresponding time cycle; if not, no processing is carried out; or judging whether the travel date of the travel time is a reminding mask date or not; if yes, no processing is carried out; if not, executing step S104, and determining whether the travel time is in a travel peak time period of the corresponding time cycle.
Specifically, the user can select a reminding period when inputting the travel information, and after determining the travel time according to the travel information, whether the travel date of the travel time is the reminding period selected by the user is judged; if the user does not select the reminding period, after the travel time is determined according to the travel information, whether the travel date of the travel time is a reminding mask date (for example, holidays) or not is judged.
In addition, if the user needs to commute on holidays, after the travel time is determined, firstly judging whether the travel date of the travel time is a reminding mask date, if not, executing a step S104, judging whether the travel time is in a travel peak time period of a corresponding time period, if so, judging whether the travel date is a reminding date preset by the user, and if so, executing a step S104, and judging whether the travel time is in a travel peak time period of the corresponding time period; if not, no processing is carried out; or after the travel time is determined, firstly, judging whether the travel date of the travel time is a reminding date preset by the user, if not, not processing the travel time, if so, judging whether the travel date of the travel time is a reminding mask date, if so, not processing the travel time, and if so, executing the step S104 to judge whether the travel time is in a travel peak time period of a corresponding time period.
For example, if the user selects monday through friday as the reminding period, after the travel time is determined, whether the travel date of the travel time is any working day of monday through friday is determined, if yes, whether the travel date is a date corresponding to a holiday is further determined, if yes, no processing is performed, and if not, whether the travel time is in a travel peak period of the same day as the travel date is determined.
In specific implementation, after the travel time is determined, in order to further determine whether the user needs to make a vehicle reservation when traveling at the travel time, the travel access flow of the travel date is predicted, a travel peak time period is determined according to the travel access flow, and if the travel time is in the travel peak time period, a reservation prompt is sent to the user, so that the user is prevented from being unable to drive the vehicle for a long time in the travel peak time period; in order to guarantee timeliness of predicted travel access flow and predict travel access flow in real time according to actual order flow, actual access flow and historical access flow, in a specific implementation process, in order to improve convenience of judging whether travel time is in a travel peak time period, a flow increasing curve is constructed according to predicted travel access flow, and area calibration is carried out on the travel peak time period on the flow increasing curve to obtain a travel peak area; it should be noted that the traffic growth curve and the region calibration at the trip peak time are adjusted in real time according to the real-time prediction of the trip access traffic; and the travel access flow comprises the number of users accessing the order dispatching platform.
In the process of performing region calibration on a travel peak period, firstly, travel access traffic of a corresponding time period of the travel time is predicted, a traffic growth curve is constructed based on the travel access traffic, then, the travel peak period of the traffic growth curve is determined, and region calibration is performed based on the traffic growth curve and the travel peak period to obtain the travel peak region, specifically, in an optional implementation manner provided by this embodiment, the following manner is specifically adopted to perform region calibration on the travel peak period in the traffic growth curve:
predicting the travel access flow of the time interval according to the historical travel access flow of the corresponding historical period of the corresponding time period of the travel time;
constructing a traffic growth curve based on the trip visit traffic and the weather data of the trip time;
if the travel access flow is higher than the travel capacity data, determining a travel time period corresponding to the travel access flow higher than the travel capacity data as the travel peak time period;
and carrying out region calibration according to the flow growth curve and the travel peak time period to obtain a travel peak region.
Specifically, weather is also a factor influencing actual travel traffic, for example, a travel peak period may come in advance in rainy days, and therefore, a traffic growth curve needs to be constructed according to weather data.
As shown in fig. 2, the travel time of the user is 9 months, 3 days and 8 points, wednesday, the travel access flow of 9 months and 3 days is predicted according to the historical travel access flow of historical wednesday and the historical actual order flow, the user rains in 9 months and 3 days according to the predicted weather data, and a flow increase curve is constructed according to the travel access flow and the weather data; and determining that 7 to 10 points and 17 to 21 points in 3 days of 9 months are travel peak periods according to the travel access flow and the actual travel capacity data, and performing region calibration on flow increase curves corresponding to 7 to 10 points and 17 to 21 points to obtain a first peak period and a second peak period.
And step S104, judging whether the travel time is in the travel peak time period of the corresponding time cycle.
Trip peak period, the time interval that the number of users including visiting the dispatch platform is higher than trip freight capacity data, is also the interval that the dispatch volume of the dispatch platform can't be satisfied to trip freight capacity, and some users in this time interval can be in the attitude of getting on the bus of lining up, match according to trip freight capacity, and actual trip time is uncontrollable.
In specific implementation, the process of determining whether the travel time is in the travel peak time period of the corresponding time period, that is, determining whether the traffic point corresponding to the travel time on the traffic increase curve of the corresponding time period is in the travel peak area; after judgment, if the travel time is in the travel peak time period of the corresponding time cycle, executing step S106, and sending a travel appointment reminder of the corresponding time cycle to the user at a reminding time point corresponding to the access flow inflection point of the travel peak time period; if the travel time is not in the travel peak time period of the corresponding time cycle, further judging whether a travel appointment reminder needs to be sent to the user according to the actual order flow, in an optional implementation manner provided by the embodiment, if the judgment result of judging whether the travel time is in the travel peak time period of the corresponding time cycle is negative, firstly constructing an actual flow curve according to the obtained actual order flow, and then judging whether a flow point of the travel time to be treated at a preset distance away from the travel time is in the travel peak area; and if the travel appointment reminding is received, sending the travel appointment reminding to the user at the time of waiting for travel, and if the travel appointment reminding is not received, not processing.
If the travel time is in the travel peak time period of the corresponding time cycle, in order to remind the user to reserve vehicles in advance, it is avoided that the actual travel time is uncontrollable due to long-time queuing in the travel peak time period, a travel reservation reminder of the corresponding time cycle is sent to the user at a reminding time point corresponding to an access flow inflection point in the travel peak time period, where the access flow inflection point includes a flow point corresponding to a rapid rise of a travel access flow rate, that is, a flow point at which a nonlinear regression appears in a growth trend on a flow growth curve, meaning that after the reminding time point corresponding to the flow point, the vehicle is subjected to a large number of orders, and the travel capacity is rapidly reduced, in an optional implementation manner provided by the embodiment, the access flow inflection point is specifically calculated through the following steps:
determining a curve function expression of the flow increasing curve, and calculating a second derivative expression of the curve function expression to a travel time point;
calculating a corresponding first travel time point when the second derivative expression is equal to 0;
and judging whether the second derivatives corresponding to the previous trip time point and the next trip time point of the first trip time point are both greater than 0 or both less than 0, if not, the flow point corresponding to the first trip time point is the access flow inflection point.
Specifically, in the process of calculating the access flow inflection point, firstly, a curve function expression of a flow increase curve is determined, then a second derivative expression of the function curve expression to a travel time point is calculated, the second derivative expression is made equal to 0, the travel time point meeting the condition is solved, the travel time point where the second derivative does not exist is determined, for each obtained travel time point where the second derivative expression is made equal to 0 and the travel time point where the second derivative does not exist, the positive and negative of the second derivative corresponding to two sides (the previous travel time point and the next travel time point) are checked, when the positive and negative signs of the two sides are opposite, the flow point corresponding to the travel time point is the inflection point, and when the positive and negative signs of the two sides are the same, the flow point corresponding to the travel time point is not the inflection point.
In specific implementation, in order to simplify the use flow of the user and improve the convenience of the user in making the vehicle reservation, in an optional implementation manner provided in this embodiment, the travel reservation reminder for the corresponding time period is generated in the following manner:
judging whether the user's travel type is a periodic travel type;
if so, generating an appointment page according to the travel starting position and the travel ending position contained in the travel information;
and generating the appointment access link based on the appointment page, and generating the travel appointment reminder containing the appointment access link.
And if not, generating a travel appointment reminder containing an appointment access link of the basic appointment page.
Specifically, after judgment, if the travel information of the user is a periodic travel type, generating a reservation page according to a travel starting position and a travel ending position contained in the travel information, then generating a reservation access link according to the reservation page, and sending a travel reservation prompt containing the reservation access link to the user; the user can enter the reservation page by triggering the reservation access link, and selects and submits the actual travel time on the reservation page; if the travel information of the user is of the non-periodic travel type, a travel appointment reminder containing an appointment access link corresponding to the basic appointment page is sent to the user, the user enters the basic appointment page by triggering the appointment access link, and the user fills a travel starting position, a travel ending position and a selected target travel time in the basic appointment page and submits the travel starting position, the travel ending position and the selected target travel time.
And step S106, sending travel appointment reminders in corresponding time periods to the users at reminding time points corresponding to the access flow inflection points in the travel peak time periods.
In a specific implementation, in order to enable the user to timely perceive the travel appointment reminder, in an optional implementation manner provided in this embodiment, in the process of sending the travel appointment reminder of the corresponding time period to the user, the travel appointment reminder including the appointment access link is sent to the user in a form of instant messaging message or in-app message push.
For example, after judgment, 8 o 'clock in 9 th 3 th day is in the first peak period of 9 th 3 th day, and the travel type is the commuting travel type, an appointment page with a starting point p1 and an end point p2 is generated, an appointment access link is generated based on the appointment page, and when an access traffic inflection point before 8 o' clock is detected to come, a travel appointment reminder including the appointment access link is sent to the user in a short message manner at a reminding time point corresponding to the access traffic inflection point.
And step S108, carrying out travel reservation processing based on the reservation information of the user under the condition that a reservation access link contained in the travel reservation reminding is triggered.
The reservation information comprises a travel starting position, a travel ending position and/or a target travel time which are filled in by a reservation page displayed after the user triggers the reservation access link.
In specific implementation, in the process of travel reservation processing based on the reservation information of the user, a target travel vehicle is matched for the user according to the target travel time, the travel starting position and/or the travel ending position submitted by the user through a reservation page.
In addition, in order to further improve the convenience of using the travel reservation service by the user, if the travel type of the user is a periodic travel type, performing reservation processing at a reminding time point corresponding to a travel flow inflection point of the travel peak period according to an authorization instruction of the user and the travel information under the condition that the travel time is in the travel peak period; and sending a reservation success prompt to the user when the user makes a reservation to the target travel vehicle.
Taking an application of the travel reservation processing method provided in this embodiment to a commute travel scene as an example, the travel reservation processing method provided in this embodiment is further described below, referring to fig. 3, and the travel reservation processing method applied to the commute travel scene specifically includes steps S302 to S316.
Step S302, determining the line time according to the travel information of the user.
Step S304, forecasting the travel access flow of the corresponding time period of the travel time, and constructing a flow increasing curve based on the travel access flow.
And S306, determining the trip peak time period of the flow growth curve, and performing area calibration based on the flow growth curve and the trip peak time period to obtain a trip peak area.
Step S308, judging whether the traffic point corresponding to the travel time on the traffic increasing curve is in a travel peak area or not;
if yes, go to step S310 to step S316;
if not, no processing is carried out.
In step S310, a reservation page is generated according to the trip start position and the trip end position included in the trip information.
Step S312, generating a reservation access link based on the reservation page, and generating a travel reservation reminder including the reservation access link.
And step S314, at the reminding time point corresponding to the access flow inflection point, sending the travel appointment reminding to the user in an instant messaging message or in-application message pushing mode.
The access flow inflection point is a flow point at which the travel access flow growth trend shows linear regression and the growth rate rapidly rises.
And step S316, matching the target travel vehicle for the user according to the target travel time selected and submitted by the user through triggering the reservation access link.
Taking an application of the travel reservation processing method provided in this embodiment in a temporary travel scenario as an example, the travel reservation processing method provided in this embodiment is further described below, referring to fig. 4, the travel reservation processing method applied in the temporary travel scenario specifically includes steps S402 to S414.
In step S402, the travel time is predicted from the travel information of the user.
And judging that the trip type of the user is an aperiodic trip type.
Step S404, forecasting the travel access flow of the corresponding time period of the travel time, and constructing a flow increasing curve based on the travel access flow.
Step S406, determining a trip peak time period of the flow increasing curve, and performing area calibration based on the flow increasing curve and the trip peak time period to obtain a trip peak area.
Step S408, judging whether the traffic point corresponding to the travel time on the traffic increasing curve is in a travel peak area;
if yes, go to step S410 to step S414;
if not, no processing is carried out.
And step S410, sending a travel appointment reminder containing an appointment access link to the user in an instant messaging message mode at a reminding time point corresponding to the access flow inflection point.
The access flow inflection point is a flow point at which the travel access flow growth trend shows linear regression and the growth rate rapidly rises.
Step S412, acquiring a travel starting position, a travel ending position and a target travel time submitted by the user through the trigger reservation access link.
And step S414, matching the target travel vehicle for the user according to the travel starting position, the travel ending position and the target travel time.
In summary, in the travel appointment processing method provided in this embodiment, firstly, a travel time is determined according to the travel information of the user, then, whether the travel time is in a travel peak time period of a corresponding time cycle predicted in real time is judged, if yes, a travel appointment reminder of the corresponding time cycle is sent to the user when a reminding time point corresponding to an access flow inflection point of the travel peak time period is reached, and finally, a target travel vehicle is matched for the user according to the appointment information submitted by the user through an appointment access link included in the travel appointment reminder, so that the user is reminded of the appointment vehicle before the travel peak time period comes, and the user is prevented from not getting on the vehicle for a long time in the travel peak time period, and thus the travel is delayed.
An embodiment of a travel reservation processing apparatus provided in this specification is as follows:
in the above embodiment, a travel reservation processing method is provided, and correspondingly, a travel reservation processing device is also provided, which is described below with reference to the accompanying drawings.
Referring to fig. 5, a schematic diagram of a travel reservation processing apparatus according to the present embodiment is shown.
Since the device embodiments correspond to the method embodiments, the description is relatively simple, and the relevant portions may refer to the corresponding description of the method embodiments provided above. The device embodiments described below are merely illustrative.
The present embodiment provides a travel reservation processing apparatus, including:
a determining module 502 configured to determine a line time according to the travel information of the user;
a determining module 504 configured to determine whether the travel time is in a travel peak period of a corresponding time cycle;
if yes, operating a reminding module 506, where the reminding module 506 is configured to send a travel appointment reminder in a corresponding time period to the user at a reminding time point corresponding to the access traffic inflection point in the travel peak period;
a processing module 508 configured to perform travel appointment processing based on the appointment information of the user in case that the appointment access link included in the travel appointment reminder is triggered.
Optionally, the travel reservation processing apparatus further includes:
a first traffic prediction module configured to predict trip access traffic of a corresponding time period of the trip time and construct a traffic growth curve based on the trip access traffic;
the first region calibration module is configured to determine a trip peak time of the traffic growth curve, and perform region calibration based on the traffic growth curve and the trip peak time to obtain a trip peak region.
Optionally, the travel reservation processing apparatus further includes:
a second traffic prediction module configured to predict travel access traffic of the time interval according to historical travel access traffic of a corresponding historical period of a corresponding time period of the travel time;
a curve construction module configured to construct a traffic growth curve based on the trip visit traffic and the weather data of the trip time;
a time period determining module configured to determine a travel time period corresponding to a travel access flow higher than travel capacity data as the travel peak time period if the travel access flow is higher than the travel capacity data;
and the second region calibration module is configured to perform region calibration according to the flow growth curve and the trip peak time period to obtain a trip peak region.
Optionally, the determining module 504 includes:
and the traffic point judging submodule is configured to judge whether the traffic point corresponding to the travel time on the traffic increasing curve of the corresponding time period is in the travel peak area.
Optionally, the travel reservation processing apparatus further includes:
the period judging module is configured to judge whether the trip date of the trip time is a reminding period preset by the user; if yes, executing the step of judging whether the travel time is in a travel peak time period of a corresponding time cycle;
the shielding date judging module is configured to judge whether the trip date of the trip time is a reminding shielding date; if not, executing the step of judging whether the travel time is in the travel peak time period of the corresponding time cycle.
Optionally, the access flow inflection point is calculated by operating the following sub-modules:
the expression determination submodule is configured to determine a curve function expression of the flow rate increase curve and calculate a second derivative expression of the curve function expression to a travel time point;
the solving submodule is configured to calculate a corresponding first travel time point when the second derivative expression is equal to 0;
an inflection point determining submodule configured to determine whether second derivatives corresponding to a previous trip time point and a next trip time point of the first trip time point are both greater than 0 or both less than 0, and if not, a traffic point corresponding to the first trip time point is the access traffic inflection point.
Optionally, the travel appointment reminder in the corresponding time period is generated by operating the following sub-modules:
the type judgment sub-module is configured to judge whether the trip type of the user is a periodic trip type; if so, generating an appointment page according to the travel starting position and the travel ending position contained in the travel information;
a reminder generation sub-module configured to generate the appointment access link based on the appointment page and generate the travel appointment reminder including the appointment access link;
accordingly, the reminding module 506 includes:
and the message sending sub-module is configured to send the travel appointment reminder containing the appointment access link to the user in the form of instant messaging or in-application message pushing.
Optionally, the determining module 502 is specifically configured to, if the user's trip type determined according to the trip information is a periodic trip type, calibrate a target trip time determined in a corresponding time period based on a trip time included in the trip information as the trip time; and if the travel type of the user determined according to the travel information is an aperiodic travel type, taking the target travel time predicted based on the travel information as the travel time.
Optionally, if the operation result after the operation of the determining module 504 is negative, the following modules are operated:
an actual curve construction module configured to construct an actual flow curve according to the obtained actual order flow;
the actual judgment module is configured to judge whether a traffic point of a time to be traveled, which is a preset distance away from the travel time, is in the travel peak area; and if so, sending the travel appointment reminder to the user at the time of waiting for travel.
Optionally, the processing module 508 includes:
and the vehicle matching sub-module is configured to match a target travel vehicle for the user according to the target travel time, the travel starting position and/or the travel ending position submitted by the user through the reservation page.
Optionally, the travel reservation processing apparatus further includes:
the system comprises an authorization instruction acquisition module, a travel reservation service acquisition module and a travel reservation service acquisition module, wherein the authorization instruction acquisition module is configured to acquire an authorization instruction of a user for travel reservation service;
and the travel information acquisition module is configured to acquire the travel information input by the user based on the authorization instruction.
An embodiment of a travel reservation processing device provided in this specification is as follows:
corresponding to the above-described travel reservation processing method, based on the same technical concept, one or more embodiments of the present specification further provide a travel reservation processing device, where the travel reservation processing device is configured to execute the above-described travel reservation processing method, and fig. 6 is a schematic structural diagram of a travel reservation processing device provided in one or more embodiments of the present specification.
The present embodiment provides a travel reservation processing device, including:
as shown in fig. 6, the travel reservation processing device may have a relatively large difference due to different configurations or performances, and may include one or more processors 601 and a memory 602, where one or more stored applications or data may be stored in the memory 602. Wherein the memory 602 may be transient or persistent storage. The application program stored in the memory 602 may comprise one or more modules (not shown), each of which may comprise a series of computer executable instructions in the travel reservation processing device. Still further, the processor 601 may be arranged in communication with the memory 602, executing a series of computer executable instructions in the memory 602 on the travel reservation processing device. The travel appointment processing apparatus may also comprise one or more power supplies 603, one or more wired or wireless network interfaces 604, one or more input/output interfaces 605, one or more keyboards 606, etc.
In a particular embodiment, the travel reservation processing apparatus comprises a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may comprise one or more modules, and each module may comprise a series of computer-executable instructions for the travel reservation processing apparatus, and the one or more programs configured to be executed by the one or more processors comprise computer-executable instructions for:
determining the line time according to the travel information of the user;
judging whether the travel time is in a travel peak time period of a corresponding time cycle;
if so, sending a travel appointment reminder in a corresponding time period to the user at a reminding time point corresponding to the access flow inflection point in the travel peak period;
and when the reservation access link contained in the travel reservation reminder is triggered, carrying out travel reservation processing based on the reservation information of the user.
Optionally, the computer executable instructions, when executed, further comprise:
predicting the travel access flow of the travel time in the corresponding time period, and constructing a flow increasing curve based on the travel access flow;
and determining the trip peak time of the flow increasing curve, and performing region calibration based on the flow increasing curve and the trip peak time to obtain a trip peak region.
Optionally, the computer executable instructions, when executed, further include:
predicting the travel access flow of the time interval according to the historical travel access flow of the corresponding historical period of the corresponding time period of the travel time;
constructing a traffic growth curve based on the trip visit traffic and the weather data of the trip time;
if the travel access flow is higher than the travel capacity data, determining a travel time period corresponding to the travel access flow higher than the travel capacity data as the travel peak time period;
and carrying out region calibration according to the flow increasing curve and the trip peak time period to obtain a trip peak region.
Optionally, the determining the line time according to the travel information of the user includes:
if the trip type of the user determined according to the trip information is a periodic trip type, calibrating a target trip time determined in a corresponding time period based on the trip time contained in the trip information as the trip time;
and if the user's travel type determined according to the travel information is an aperiodic travel type, taking the target travel time predicted based on the travel information as the travel time.
An embodiment of a storage medium provided in this specification is as follows:
on the basis of the same technical concept, one or more embodiments of the present specification further provide a storage medium corresponding to the travel reservation processing method described above.
The storage medium provided in this embodiment is used to store computer-executable instructions, and when executed, the computer-executable instructions implement the following processes:
determining the line time according to the travel information of the user;
judging whether the travel time is in a travel peak time period of a corresponding time cycle;
if so, sending a travel appointment reminder in a corresponding time period to the user at a reminding time point corresponding to the access flow inflection point in the travel peak period;
and when the reservation access link contained in the travel reservation reminder is triggered, carrying out travel reservation processing based on the reservation information of the user.
Optionally, the computer executable instructions, when executed, further comprise:
predicting the travel access flow of the travel time in the corresponding time period, and constructing a flow increasing curve based on the travel access flow;
and determining the trip peak time of the flow increasing curve, and performing region calibration based on the flow increasing curve and the trip peak time to obtain a trip peak region.
Optionally, the computer executable instructions, when executed, further include:
predicting the travel access flow of the time interval according to the historical travel access flow of the corresponding historical period of the corresponding time period of the travel time;
constructing a traffic growth curve based on the trip visit traffic and the weather data of the trip time;
if the travel access flow is higher than the travel capacity data, determining a travel time period corresponding to the travel access flow higher than the travel capacity data as the travel peak time period;
and carrying out region calibration according to the flow increasing curve and the trip peak time period to obtain a trip peak region.
Optionally, the determining the line time according to the travel information of the user includes:
if the trip type of the user determined according to the trip information is a periodic trip type, calibrating a target trip time determined in a corresponding time period based on the trip time contained in the trip information as the trip time;
and if the travel type of the user determined according to the travel information is an aperiodic travel type, taking the target travel time predicted based on the travel information as the travel time.
It should be noted that the embodiment of the storage medium in this specification and the embodiment of the travel reservation processing method in this specification are based on the same inventive concept, and therefore, for specific implementation of this embodiment, reference may be made to implementation of the foregoing corresponding method, and repeated details are not described here.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
In the 30 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually manufacturing an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as ABEL (Advanced Boolean Expression Language), AHDL (alternate Hardware Description Language), traffic, CUPL (core universal Programming Language), HDCal, jhddl (Java Hardware Description Language), lava, lola, HDL, PALASM, rhyd (Hardware Description Language), and vhigh-Language (Hardware Description Language), which is currently used in most popular applications. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the units may be implemented in the same software and/or hardware or in multiple software and/or hardware when implementing the embodiments of the present description.
One skilled in the art will recognize that one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
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 a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
One or more embodiments of the present description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of this document and is not intended to limit this document. Various modifications and changes may occur to those skilled in the art from this document. Any modifications, equivalents, improvements, etc. which come within the spirit and principle of the disclosure are intended to be included within the scope of the claims of this document.
Claims (13)
1. A travel appointment processing method comprises the following steps:
determining the line time according to the travel information of the user;
predicting the travel access flow of the travel time in the corresponding time period, and constructing a flow increasing curve based on the travel access flow;
determining a trip peak time period of the flow increasing curve, and performing region calibration based on the flow increasing curve and the trip peak time period to obtain a trip peak region;
judging whether the travel time is in a travel peak time period of a corresponding time cycle or not based on the traffic growth curve marked with the travel peak area;
if so, sending a travel appointment reminder in a corresponding time period to the user at a reminding time point corresponding to the access flow inflection point in the travel peak period;
and when the reservation access link contained in the travel reservation reminder is triggered, carrying out travel reservation processing based on the reservation information of the user.
2. The travel reservation processing method according to claim 1, before the step of determining whether the travel time is in a peak travel time period of the corresponding time cycle, further comprising:
predicting the travel access flow of the time period according to the historical travel access flow of the corresponding historical period of the corresponding time period of the travel time;
constructing a traffic growth curve based on the trip visit traffic and the weather data of the trip time;
if the travel access flow is higher than the travel capacity data, determining a travel time period corresponding to the travel access flow higher than the travel capacity data as the travel peak time period;
and carrying out region calibration according to the flow increasing curve and the trip peak time period to obtain a trip peak region.
3. The travel reservation processing method according to claim 2, the determining whether the travel time is in a peak travel time period of the corresponding time cycle, comprising:
and judging whether the traffic point corresponding to the travel time on the traffic increase curve of the corresponding time period is in the travel peak area.
4. The travel reservation processing method according to claim 1, further comprising, after the step of determining a travel time according to the travel information of the user and before the step of determining whether the travel time is at a peak travel time of a corresponding time period, the step of:
judging whether the travel date of the travel time is a reminding period preset by the user or not;
if yes, executing the step of judging whether the travel time is in a travel peak time period of a corresponding time cycle;
or,
judging whether the travel date of the travel time is a reminding shielding date or not;
if not, executing the step of judging whether the travel time is in the travel peak time period of the corresponding time cycle.
5. The travel appointment processing method according to claim 2, wherein the access traffic inflection point is calculated as follows:
determining a curve function expression of the flow increasing curve, and calculating a second derivative expression of the curve function expression to a travel time point;
calculating a corresponding first travel time point when the second derivative expression is equal to 0;
judging whether the second derivatives corresponding to the previous trip time point and the next trip time point of the first trip time point are both greater than 0 or both less than 0; if not, the flow point corresponding to the first travel time point is the access flow inflection point.
6. The travel appointment processing method according to claim 1, wherein the travel appointment reminder for the corresponding time period is generated as follows:
judging whether the trip type of the user is a periodic trip type;
if so, generating an appointment page according to the travel starting position and the travel ending position contained in the travel information;
generating the appointment access link based on the appointment page, and generating the travel appointment reminder containing the appointment access link;
correspondingly, the sending of the travel appointment reminder for the corresponding time period to the user includes:
and sending the travel appointment reminder containing the appointment access link to the user in an instant messaging message or in-application message pushing mode.
7. The travel reservation processing method according to claim 1, wherein the determining the travel time according to the travel information of the user comprises:
if the trip type of the user determined according to the trip information is a periodic trip type, calibrating a target trip time determined in a corresponding time period based on the trip time contained in the trip information as the trip time;
and if the user's travel type determined according to the travel information is an aperiodic travel type, taking the target travel time predicted based on the travel information as the travel time.
8. The travel reservation processing method according to claim 2, if the execution result after the step of determining whether the travel time is at the travel peak time of the corresponding time cycle is negative, performing the following operation:
constructing an actual flow curve according to the obtained actual order flow;
judging whether a traffic point of the time to be traveled, which is a preset distance away from the travel time, is in the travel peak area or not;
and if so, sending the travel appointment reminder to the user at the time of waiting for travel.
9. The travel reservation processing method according to claim 1, the travel reservation processing based on the reservation information of the user, comprising:
and matching a target travel vehicle for the user according to the target travel time, the travel starting position and/or the travel ending position submitted by the user through the reservation page.
10. The travel reservation processing method according to claim 1, before the step of determining the travel time according to the travel information of the user is executed, further comprising:
obtaining an authorization instruction of the user for travel reservation service;
and acquiring the journey information input by the user based on the authorization instruction.
11. A travel reservation processing device comprising:
the determining module is configured to determine the line time according to the travel information of the user;
a first traffic prediction module configured to predict travel access traffic of a corresponding time period of the travel time and construct a traffic growth curve based on the travel access traffic;
a first region calibration module configured to determine a trip peak time of the traffic growth curve and perform region calibration based on the traffic growth curve and the trip peak time to obtain a trip peak region;
a judging module configured to judge whether the travel time is in a travel peak period of a corresponding time cycle based on the traffic growth curve labeled with the travel peak area;
if so, operating a reminding module, wherein the reminding module is configured to send a travel appointment reminder of a corresponding time period to the user at a reminding time point corresponding to an access flow inflection point in the travel peak period;
and the processing module is configured to perform travel reservation processing based on the reservation information of the user when the reservation access link contained in the travel reservation reminder is triggered.
12. A travel reservation processing device comprising:
a processor; and the number of the first and second groups,
a memory configured to store computer-executable instructions that, when executed, cause the processor to:
determining the line time according to the travel information of the user;
predicting the travel access flow of the travel time in the corresponding time period, and constructing a flow increasing curve based on the travel access flow;
determining a trip peak time period of the flow increasing curve, and performing region calibration based on the flow increasing curve and the trip peak time period to obtain a trip peak region;
judging whether the travel time is in a travel peak time period of a corresponding time cycle or not based on the traffic growth curve marked with the travel peak area;
if so, sending a travel appointment reminder in a corresponding time period to the user at a reminding time point corresponding to the access flow inflection point in the travel peak period;
and when the reservation access link contained in the travel reservation reminder is triggered, carrying out travel reservation processing based on the reservation information of the user.
13. A storage medium storing computer-executable instructions that when executed implement the following:
determining the line time according to the travel information of the user;
predicting the travel access flow of the travel time in the corresponding time period, and constructing a flow increasing curve based on the travel access flow;
determining a trip peak time period of the flow increasing curve, and performing region calibration based on the flow increasing curve and the trip peak time period to obtain a trip peak region;
judging whether the travel time is in a travel peak time period of a corresponding time cycle or not based on the traffic growth curve marked with the travel peak area;
if so, sending a travel appointment reminder in a corresponding time period to the user at a reminding time point corresponding to the access flow inflection point in the travel peak period;
and when the reservation access link contained in the travel reservation reminder is triggered, carrying out travel reservation processing based on the reservation information of the user.
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