CN114662722A - Travel management method, system, device and medium - Google Patents
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- CN114662722A CN114662722A CN202011545670.3A CN202011545670A CN114662722A CN 114662722 A CN114662722 A CN 114662722A CN 202011545670 A CN202011545670 A CN 202011545670A CN 114662722 A CN114662722 A CN 114662722A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
- G06Q10/025—Coordination of plural reservations, e.g. plural trip segments, transportation combined with accommodation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
Abstract
The present disclosure relates to a trip management method, system, device and medium. The trip management method comprises the following steps: receiving multimedia information input by a user; determining a trip task based on the multimedia information; splitting the travel task into associated subtasks; the subtasks comprise a traffic subtask and a scenic spot reservation subtask, and also comprise at least one of a diet reservation subtask and an accommodation reservation subtask; and calling the corresponding application program based on each subtask to complete at least one operation of booking tickets, booking cars, booking food and reserving accommodation. According to the technical scheme provided by the embodiment of the disclosure, the travel task can be determined and split into the subtasks based on the multimedia information by automatically receiving the multimedia information input by the user, and the corresponding application program is called to realize at least one operation of booking tickets, booking cars, booking food and reserving accommodation, so that the processes of autonomous inquiry, manual booking tickets, booking cars, booking food and reserving accommodation of the user are reduced, the user operation is reduced, and the travel management convenience is improved.
Description
Technical Field
The present disclosure relates to the field of intelligent transportation technologies, and in particular, to a travel management method, system, device, and medium.
Background
With the development of electronic technology and the improvement of living standard, intelligent electronic equipment gradually goes deep into the aspects of daily work and life of people, and provides convenience for daily living and clothes and eating and housing of people. With the continuous development of the tourism industry, the tourism mode is developed towards the direction depending on the information technology, and the design method of the tourism route is also continuously optimized.
The existing travel route design method is generally based on the actual conditions of travel resources, traffic facilities, infrastructure facilities, travel reception facilities and the like, and combines network word frequency data to recommend a travel route according to the hot degree of scenic spots and the predicted travel time period.
However, such a travel route design method requires a user to select a fixed route recommended by the system, and after the route is selected, the user usually inputs information manually, performs autonomous screening, and completes operations of ticket purchasing or car booking based on information such as travel time and locations of related scenic spots, so that the user operation is cumbersome and takes much time.
Disclosure of Invention
To solve the above technical problems or to at least partially solve the above technical problems, the present disclosure provides a trip management method, system, device, and medium.
The present disclosure provides a trip management method, including: .
Receiving multimedia information input by a user;
determining a travel task based on the multimedia information;
splitting the travel task into associated subtasks; the subtasks comprise a traffic subtask and an attraction reservation subtask, and also comprise at least one of a diet reservation subtask and an accommodation reservation subtask;
and calling the corresponding application program based on each subtask to complete at least one operation of booking tickets, booking cars, booking food and reserving accommodation.
In some embodiments, the multimedia information includes at least one of voice information, text information, and video information.
In some embodiments, the determining a travel task based on the multimedia information includes:
and performing semantic recognition on the multimedia information, and determining the travel tasks including travel starting time, travel ending time, travel number, starting location, ending location, path scenic spots and traffic modes.
In some embodiments, the mode of transportation includes at least one of walking, leasing, public transportation, subway, bus, train, airplane, and cruise ship.
In some embodiments, when the travel task is split into associated subtasks, the task is split based on the temporal relevance of each subtask.
In some embodiments, the task splitting based on the temporal relevance of each of the subtasks includes:
predicting the time consumption of each segment of distance based on travel big data aiming at the traffic subtask;
aiming at the scenery spot reservation subtasks, predicting the time consumed by visiting the target scenery spot based on the suitable visiting time of the scenery spot and the predicted passenger flow;
aiming at the diet reservation subtask, predicting the meal consumption time of target diet based on the passenger flow of the target diet place and the estimated meal time period;
and determining the planning time interval of each subtask in the associated subtasks based on the time consumption of each route, the visit time consumption of the target scenic spot, the dining time consumption of the target restaurant and the continuity of each subtask.
In some embodiments, the traffic subtasks are implemented using at least one of price first, duration first, and foot-away first.
In some embodiments, the method further comprises:
acquiring historical travel information of a user;
the splitting of the travel task into associated subtasks includes:
and determining each subtask based on the travel task and the historical travel information.
In some embodiments, the method further comprises:
generating order information;
and displaying the order information by the user.
The present disclosure also provides a trip management system, which includes:
the information receiving module is used for receiving the multimedia information input by the user;
the task determination module is used for determining a travel task based on the multimedia information;
the task splitting module is used for splitting the travel task into related subtasks; the subtasks comprise a traffic subtask and an attraction reservation subtask, and also comprise at least one of a diet reservation subtask and an accommodation reservation subtask;
and the task execution module is used for calling the corresponding application program based on each subtask to finish at least one operation of booking tickets, booking cars, booking food and reserving accommodation.
The present disclosure also provides an electronic device, including:
one or more processors;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement any of the methods described above.
The present disclosure also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements any of the methods described above.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:
the trip management method provided by the embodiment of the disclosure comprises the following steps: receiving multimedia information input by a user; determining a trip task based on the multimedia information; splitting the travel task into associated subtasks; the subtasks comprise a traffic subtask and a scenic spot reservation subtask, and also comprise at least one of a diet reservation subtask and an accommodation reservation subtask; based on each subtask, calling the corresponding application program to complete at least one operation of booking tickets, booking cars, booking meals and reserving lodging, so that the travel task can be automatically determined based on the multimedia information input by the user, the travel task is split into the subtasks, and the application program corresponding to the subtasks is called to realize at least one operation of booking tickets, booking cars, booking meals and reserving lodging, thereby reducing the processes of independently planning the travel task by the user, inquiring relevant information such as travel routes and transportation and lodging, manually booking tickets, booking cars, booking meals and reserving lodging, reducing user operation, improving travel management intelligence and improving travel management convenience.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present disclosure, the drawings used in the embodiments or technical solutions in the prior art description will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
Fig. 1 is a schematic flow chart of a trip management method according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of another trip management method according to the embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a travel management system according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, aspects of the present disclosure will be further described below. It should be noted that the embodiments and features of the embodiments of the present disclosure may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced in other ways than those described herein; it is to be understood that the embodiments disclosed in the specification are only a few embodiments of the present disclosure, and not all embodiments.
The travel management method provided by the embodiment of the disclosure can be applied to path planning, reservation of tickets and food and the like before a user travels (such as travel), so that autonomous operation of the user is reduced, intelligence of travel management of the user is improved, and time of the user is saved. The trip management method may be executed by a trip management system, and the trip management system may be integrated in an intelligent terminal of a user, or may be configured by combining the intelligent terminal of the user and a remote server.
Hereinafter, the travel management system is integrated in the intelligent terminal of the user for example, the intelligent terminal may be a mobile terminal or a fixed terminal such as a mobile phone, a tablet, a computer, and the like, and the embodiment of the disclosure is not limited.
The following describes an example of a travel management method and a travel management system provided in an embodiment of the present disclosure with reference to fig. 1 to 3.
Exemplarily, fig. 1 is a schematic flow chart of a trip management method provided in an embodiment of the present disclosure. Referring to fig. 1, the method may include the following steps.
And S110, receiving multimedia information input by a user.
The information receiving module in the travel management system may receive multimedia information related to travel input by a user, for example, input of related instructions such as travel time, departure location, tourist attractions, and the like.
In some embodiments, the multimedia information includes at least one of voice information, text information, and video information.
The user can send out the audio of the travel related information based on the voice interaction interface of the mobile terminal; correspondingly, the mobile terminal receives the audio and carries out subsequent processing. Or, the user can input the words of the travel related information in the mobile terminal based on the word interactive interface of the mobile terminal; correspondingly, the mobile terminal receives the characters and carries out subsequent processing. Or, the user can input a video in the mobile terminal based on the video interaction interface of the mobile terminal; correspondingly, the mobile terminal receives the video and carries out subsequent processing.
On this basis, the user can also interact with the mobile terminal based on two modes or three modes in audio, text and video, and the embodiment of the disclosure is not limited.
And S120, determining a travel task based on the multimedia information.
The multimedia information is identified, so that the corresponding travel task can be determined, which can also be called as the travel intention of the user. The travel task may include a time node (i.e., time) and a location node (i.e., place) at which the user travels.
Illustratively, the multimedia information input by the user includes the following: from 30/10/2020, starting from city C1, tourist attractions include attraction D1, attraction D2 and attraction D3 of city C2, and attraction D4, attraction D5 and attraction D6 of city C3; the traffic mode is that the urban traffic adopts a taxi or subway mode, and the intercity traffic adopts a train or airplane mode. And planning a travel path passing through each scenic spot based on the time and the geographic position of each scenic spot, namely determining a travel task.
Illustratively, the travel task may be: 10/30/2020, from city C1 to city C3, incorporated into store a 1; a1 store scenery spot D4; 31 days, play at attraction D4, live at night A2, store A2, attraction D5; 11, 1 month and 11 days, visiting the scene at scene D5, renting to scene D6 for visiting, riding to city C2, and living in B1; b1 store scenic spot D3; day 2, 11 months, play at attraction D3, live at night in store B2, store B2, attraction D1; day 3/11, visit D1, rent by post passenger to visit D2, and return to city C1 after the visit.
The mobile terminal can also repeat the travel task to the user through voice broadcast or display the travel task to the user through a display interface so as to confirm the travel task by the user, thereby being convenient for planning and obtaining a travel path meeting the user requirement.
And S130, splitting the travel task into related subtasks.
The subtasks comprise a traffic subtask and an attraction reservation subtask, and further comprise at least one of a diet reservation subtask and an accommodation reservation subtask.
In the step, the travel tasks are split and classified into related subtasks according to traffic, scenic spots, diet, accommodation and the like, and each subtask can be related according to time continuity.
Exemplarily, in connection with the above, the above travel task may be split into the following subtasks: city C1 local traffic, city C1 to city C3, city C3 local traffic to a1, a1 reservation, a1 to sight D4 traffic, sight D4 ticket reservation, sight D4 to a2 traffic, a2 ticket reservation, a2 to sight D5 traffic, sight D5 ticket reservation, sight D5 to sight D6 traffic, sight D6 ticket reservation, sight D6 back-to-first local traffic, city C3 to city C3 urban local traffic, city C3 local traffic to B3 local traffic, B3 reservation, B3 to sight D3 traffic, sight D3 ticket reservation, sight D3 to B3 traffic, B3 spot reservation, B3 to B3 traffic, B3 ticket reservation, city C3 to B3 local traffic, D3 ticket reservation, D3 to D3 ticket reservation, 3 to 3 ticket reservation, 3 back-to city sight C3 ticket reservation.
In some embodiments, when the travel management method is applied to local play or other short-distance play, the travel management method may further include only a traffic subtask and an attraction reservation subtask, but not an accommodation reservation subtask or a diet reservation subtask.
And S140, calling the corresponding application program based on each subtask to complete at least one operation of booking tickets, booking cars, booking food and reserving accommodation.
Based on each subtask obtained by splitting in the previous step, a corresponding Application (APP) in the mobile terminal is called to automatically execute corresponding operations so as to complete subtasks such as car booking, ticket booking, meal ordering, accommodation reservation and the like.
Illustratively, in combination with the above, this step may include: calling APP with the urban traffic reservation function, such as dripping, to finish the urban traffic reservation; calling an APP with an intercity traffic reservation function, such as 12306, and completing ticket buying of intercity traffic; calling the APP with the functions of scenic spot booking, hotel booking and dining booking, for example, taking a journey, and completing scenic spot ticket booking, hotel accommodation and dining booking so as to respectively complete the subtasks.
In other embodiments, other APPs with corresponding functions may also be called to complete corresponding operations, which is not limited in the embodiment of the present disclosure. Or, when the same APP has multiple functions as described above, optionally, a smaller number of APPs are called to complete the above operation.
In the travel management method provided by the embodiment of the disclosure, the travel task can be automatically determined based on the multimedia information input by the user, the travel task is divided into the subtasks, and the application program corresponding to the subtasks is called, so that at least one operation of booking tickets, booking cars, ordering food and reserving accommodation is realized, and thus, the processes of autonomously planning the travel task by the user, inquiring relevant information such as a travel route and a traffic accommodation, manually booking tickets, booking cars, ordering food and reserving accommodation can be reduced, the user operation is reduced, the travel management intelligence is improved, and the travel management convenience is improved.
In some embodiments, based on fig. 1, S120 may specifically include:
and performing semantic recognition on the multimedia information, and determining travel tasks including travel starting time, travel ending time, travel number, starting location, ending location, path scenic spots and traffic modes.
The time and the location related to the travel task can be determined by performing semantic recognition on the multimedia information, and the travel task can also comprise location conversion and travel information related to personnel, such as travel time, location, personnel, tourist attractions and the like. The travel time may include a start time and a travel end time (or a travel duration), the travel location may include a start location (i.e., a travel start point) and an end location (i.e., a travel end point), the tourist attractions may include route attractions (attractions that may be designated for the user or automatically selected by the method according to user habits), the persons may include the number of persons and the age of the persons, and the travel mode may include a transportation mode (or a vehicle).
In some embodiments, the mode of transportation includes at least one of walking, leasing, public transportation, subway, bus, train, airplane, and cruise ship.
Wherein, for urban traffic, the selectable traffic modes comprise walking, renting, public transport, subway, bus and pleasure boat; for inter-city traffic, the selectable modes of transportation include buses, trains, airplanes and pleasure boats; for international traffic, alternative modes of transportation include aircraft.
In other embodiments, based on the planned path, the transportation mode may further include other transportation modes known to those skilled in the art, such as a bicycle, a horse riding mode, a hot air balloon, and the like, and the embodiments of the present disclosure are not limited thereto.
In some embodiments, when the travel task is split into associated subtasks, the task is split based on the temporal relevance of each subtask.
When the travel tasks are split, time continuity and time surplus of the user among the continuous subtasks are ensured by combining time relation of each subtask, so that the situation that the subsequent subtasks cannot be executed due to insufficient time is avoided, meanwhile, the situation that the user waits for a long time in the travel process is avoided, and efficient travel of the user is facilitated.
In some embodiments, task splitting is performed based on temporal relevance of the subtasks, including:
predicting the time consumption of each segment of the journey based on the travel big data aiming at the traffic subtask;
aiming at the scenic spot reservation subtask, predicting the time consumed by touring the target scenic spot based on the suitable touring time of the scenic spot and the predicted passenger flow volume;
predicting the meal consumption time of the target meal based on the passenger flow of the target meal location and the predicted meal time period aiming at the meal booking subtask;
and determining the planning time interval of each subtask in the associated subtasks based on the time consumption of each route, the visit time consumption of the target scenic spot, the dining time consumption of the target restaurant and the continuity of each subtask.
Therefore, the time connection among the subtasks can be ensured to be proper, and the subtasks can be completed in sequence in time, so that the user can go out smoothly and effectively.
In some embodiments, the traffic subtasks are implemented using at least one of price first, duration first, and walking little first.
The cooperation among all the subtasks, namely when planning the route, can adopt the priority of cost, time length, priority of walking, etc. to sort out the optimal planning route; particularly, the traffic subtask is greatly related to the traffic condition when traveling, and the user cannot subjectively determine the traffic condition and can only select based on the predicted traffic condition. It should be noted that, in this embodiment, the selection of the user may be automatically selected by the mobile terminal based on the past habits of the user, and the selection process may not require user intervention, thereby reducing user operations.
Or weight calculation can be performed based on the above aspects, such as 70% of price factor, 30% of duration factor and 10% of walking-less factor, so as to obtain the comprehensively optimized planned path.
In other embodiments, other weight distribution methods may also be adopted to perform weight calculation, and the weight may be set based on user requirements and requirements of the travel management method, which is not limited in the embodiments of the present disclosure.
Exemplarily, fig. 2 is a schematic flow chart of another trip management method provided in the embodiment of the present disclosure. On the basis of fig. 1, referring to fig. 2, the method may further include:
and S210, receiving multimedia information input by a user.
And S220, determining a travel task based on the multimedia information.
S201, obtaining historical trip information of the user.
The historical travel information of the user can be used for representing the historical travel habits of the user, such as a preferred transportation mode, a preferred accommodation condition, a preferred diet mode and the like of the user, so that the travel management method can be suitable for personalized planning of different users.
Based on this, S130 may specifically include S230.
And S230, determining each subtask based on the travel task and the historical travel information.
And determining each subtask by combining historical travel information based on the travel tasks. Specifically, the specific implementation of each subtask is determined.
When the method is applied to the travel route planning of the user, if the user only indicates a target city, a target scenic spot is not determined; the mobile terminal can determine the current target scenic spot of the user based on the past travel habit of the user.
For example, the past travel habits of the user may include: the past travel habits of the user may include a preference for experience of immersive play, a preference for visiting literary scenery, a preference for scoring higher scenic spots, a preference for visiting cybergraphical scenery, a preference for exploring new scenic spots, or other travel habits, which are not limited in the embodiments of the present disclosure. At this time, in the foregoing steps, the sights in the travel task may be determined by the user again.
Therefore, the deviation between the scenic spot in the planned path and the scenic spot wanted by the user is small, the degree of engagement is high, and the personalized customization requirements of different users can be met.
And S240, calling the corresponding application program based on each subtask to complete at least one operation of booking tickets, booking cars, booking food and reserving accommodation.
It should be noted that S210, S220, and S240 correspond to S110, S120, and S140 in fig. 1, and reference may be made to the above understanding, which is not repeated herein.
In some embodiments, with continued reference to fig. 2, the method may further comprise:
and S250, generating order information.
After each subtask is completed, corresponding order information can be generated.
And S260, displaying order information by the user.
The order information can be displayed to the user through the display interface, or the order information can be broadcasted to the user through voice.
In this way, after the operations of path planning, reservation and ticket booking of each subtask are completed, the ticket booking and the reservation order can be displayed to the user.
Optionally, a schedule reminder may also be created thereafter to implement the reminder to the user.
The travel management method provided by the embodiment of the disclosure can receive the instruction input of relevant travel such as travel time, location, personnel, tourist attractions and the like, and automatically identify the instruction input; based on the instruction, planning a path by combining the geographic position of the related scenic spot, the reserved people flow, the suitable reward period and the like; and based on path planning, splitting and distributing and executing tasks, and finishing bill ordering and order reminding. Therefore, the autonomous operation process of the user can be reduced, and the autonomous operation process is automatically completed by the mobile terminal, so that the travel management intelligence is improved, and the time of the user is saved. Furthermore, the personalized travel management of different users can be realized by combining the historical travel information of the users.
On the basis of the foregoing embodiment, an embodiment of the present disclosure further provides a trip management system, which may be used to execute the steps of any one of the trip management methods in the foregoing embodiments, so as to achieve the corresponding beneficial effects.
Exemplarily, fig. 3 is a schematic structural diagram of a travel management system provided in an embodiment of the present disclosure. Referring to fig. 3, the system may include:
an information receiving module 310, configured to receive multimedia information input by a user;
a task determination module 320, configured to determine a travel task based on the multimedia information;
the task splitting module 330 is configured to split the travel task into associated subtasks; the subtasks comprise a traffic subtask and a scenic spot reservation subtask, and also comprise at least one of a diet reservation subtask and an accommodation reservation subtask;
and the task execution module 340 is configured to invoke the corresponding application program based on each subtask, and complete at least one operation of booking tickets, booking cars, booking meals, and reserving lodging.
In the travel management system provided by the embodiment of the present disclosure, the information receiving module 310 may receive multimedia information input by a user; the task determination module 320 may determine a travel task based on the multimedia information; the task splitting module 330 may split the travel task into associated subtasks; the subtasks comprise a traffic subtask and a scenic spot reservation subtask, and also comprise at least one of a diet reservation subtask and an accommodation reservation subtask; the task execution module 340 may call a corresponding application program based on each subtask to complete at least one operation of booking tickets, booking cars, booking meals and booking accommodation, so that a travel task may be automatically determined based on multimedia information input by a user, the travel task is split into the subtasks, and the application program corresponding to the subtasks is called to implement at least one operation of booking tickets, booking cars, booking meals and booking accommodation, thereby reducing processes of autonomously planning the travel task by the user, inquiring relevant information such as a travel route and a transportation food and accommodation, manually booking tickets, booking cars, booking meals and booking accommodation, reducing user operations, improving travel management intelligence, and improving travel management convenience.
In some embodiments, the multimedia information includes at least one of voice information, text information, and video information.
Therefore, the multimedia information can be flexibly and variously received through audio, text or video.
In some embodiments, the task determination module 320 is specifically configured to:
and performing semantic recognition on the multimedia information, and determining travel tasks including travel starting time, travel ending time, travel number, starting location, ending location, path scenic spots and traffic modes.
Therefore, the travel intention of the user can be determined by identification based on the multimedia information.
In some embodiments, the mode of transportation includes at least one of walking, leasing, public transportation, subway, bus, train, airplane, and cruise ship.
Therefore, the traffic mode can be flexibly selected based on the path planning.
In some embodiments, when the travel task is split into associated subtasks, the task is split based on the temporal relevance of each subtask.
In this way, the orderly execution of the subtasks can be ensured.
In some embodiments, task splitting is performed based on temporal relevance of the subtasks, including:
predicting the time consumption of each segment of the journey based on the travel big data aiming at the traffic subtask;
aiming at the scenery spot reservation subtasks, predicting the time consumed by visiting the target scenery spot based on the suitable visiting time of the scenery spot and the predicted passenger flow;
predicting the meal consumption time of the target meal based on the passenger flow of the target meal location and the predicted meal time period aiming at the meal booking subtask;
and determining the planning time interval of each subtask in the associated subtasks based on the time consumption of each route, the visit time consumption of the target scenic spot, the dining time consumption of the target restaurant and the continuity of each subtask.
Thus, it can be ensured that the time connection between the subtasks is proper, and the subtasks can be completed sequentially in time.
In some embodiments, the traffic subtasks are implemented using at least one of price first, duration first, and walking less first.
Therefore, the traffic mode can be flexibly selected based on different requirements.
In some embodiments, the system may further comprise:
a history information obtaining module (not shown in the figure) for obtaining history trip information of the user;
the task splitting module 330 is specifically configured to determine each subtask based on the travel task and the historical travel information.
Therefore, the implementation mode of each subtask can be determined by combining the past trip habits of the user, so that the individual trip requirements of different users can be met.
In some embodiments, the system may further comprise:
an order generation module (not shown in the figure) for generating order information;
and an order display module (not shown) for displaying the order information by the user.
Therefore, after the operations such as car appointment, order, ticket booking and hotel reservation are completed, order reminding is achieved, and the customer can finally confirm conveniently.
The travel management system provided by the embodiment of the disclosure can receive the instruction input of travel related to travel time, travel location, travel personnel, tourist attractions and the like, and automatically identify the travel time, the travel location, the travel personnel, the tourist attractions and the like; based on the instruction, planning a path by combining the geographic position of the related scenic spot, the reserved people stream, the suitable touring period and the like; and based on path planning, splitting and distributing and executing tasks, and finishing bill ordering and order reminding. Therefore, the autonomous operation process of the user can be reduced, and the autonomous operation process is automatically completed by the mobile terminal, so that the travel management intelligence is improved, and the time of the user is saved. Furthermore, the personalized travel management of different users can be realized by combining the historical travel information of the users.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. Referring to fig. 4, the electronic device includes: one or more processors 301, one processor 301 being illustrated in FIG. 4; a memory 302 for storing instructions executable by the processor 301; the processor 301 is configured to execute instructions to implement any of the methods described above.
The electronic device may further include: an input device 303 and an output device 304.
The processor 301, the memory 302, the input device 303 and the output device 304 in the electronic apparatus may be connected by a bus or other means, and the connection manner is exemplarily illustrated by the bus connection in fig. 4.
The memory 302 may be a non-transitory computer-readable storage medium, which may be used to store software programs, computer-executable programs, and modules, such as the corresponding program instructions/modules described above in the embodiments of the present disclosure (e.g., the information receiving module 310, the task determining module 320, the task splitting module 330, and the task executing module 340 shown in fig. 3). The processor 301 executes various functional applications of the server and data processing, i.e. the steps of any of the above-described method embodiments, by running software programs, instructions and modules stored in the memory 302.
The memory 302 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the electronic device, and the like.
Further, the memory 302 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device.
In some embodiments, memory 302 optionally includes memory located remotely from processor 301, which may be connected to a terminal device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 303 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic apparatus.
The output means 304 may comprise a display device such as a display screen.
The disclosed embodiments also provide an embedded computer-readable storage medium, which stores a computer program (or instructions) that is executed by a processor to implement any one of the above-mentioned methods.
From the above description of the embodiments, it is obvious for a person skilled in the art that the present disclosure can be implemented by software and necessary general hardware, and certainly can be implemented by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present disclosure may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods of the embodiments of the present disclosure.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The previous description is only for the purpose of describing particular embodiments of the present disclosure, so as to enable those skilled in the art to understand or implement the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A travel management method, comprising:
receiving multimedia information input by a user;
determining a travel task based on the multimedia information;
splitting the travel task into associated subtasks; the subtasks comprise a traffic subtask and a scenic spot reservation subtask, and also comprise at least one of a diet reservation subtask and an accommodation reservation subtask;
and calling the corresponding application program based on each subtask to finish at least one operation of booking tickets, booking cars, booking meals and reserving accommodation.
2. The method of claim 1, wherein the multimedia information comprises at least one of voice information, text information, and video information.
3. The method of claim 1, wherein the determining a travel task based on the multimedia information comprises:
and performing semantic recognition on the multimedia information, and determining the travel tasks including travel starting time, travel ending time, travel number, starting location, ending location, route scenic spots and traffic modes.
4. The method of claim 1, wherein when splitting the travel task into associated subtasks, the task splitting is performed based on temporal relevance of each of the subtasks.
5. The method according to claim 4, wherein the task splitting based on the time relevance of each of the subtasks comprises:
predicting the time consumption of each segment of distance based on travel big data aiming at the traffic subtask;
aiming at the scenery spot reservation subtasks, predicting the time consumed by visiting the target scenery spot based on the suitable visiting time of the scenery spot and the predicted passenger flow;
predicting the meal consumption time of the target meal based on the passenger flow of the target meal location and the predicted meal time period aiming at the meal booking subtask;
and determining the planning time interval of each subtask in the associated subtasks based on the time consumption of each route, the visit time consumption of the target scenic spot, the dining time consumption of the target restaurant and the continuity of each subtask.
6. The method of claim 1, further comprising:
acquiring historical travel information of a user;
the splitting of the travel task into associated subtasks includes:
and determining each subtask based on the travel task and the historical travel information.
7. The method of claim 1, further comprising:
generating order information;
and displaying the order information by the user.
8. A travel management system, characterized by comprising:
the information receiving module is used for receiving the multimedia information input by the user;
the task determination module is used for determining a travel task based on the multimedia information;
the task splitting module is used for splitting the travel task into related subtasks; the subtasks comprise a traffic subtask and a scenic spot reservation subtask, and also comprise at least one of a diet reservation subtask and an accommodation reservation subtask;
and the task execution module is used for calling the corresponding application program based on each subtask to finish at least one operation of booking tickets, booking cars, booking food and reserving accommodation.
9. An electronic device, comprising:
one or more processors;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011545670.3A CN114662722A (en) | 2020-12-23 | 2020-12-23 | Travel management method, system, device and medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011545670.3A CN114662722A (en) | 2020-12-23 | 2020-12-23 | Travel management method, system, device and medium |
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| CN114662722A true CN114662722A (en) | 2022-06-24 |
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| CN202011545670.3A Pending CN114662722A (en) | 2020-12-23 | 2020-12-23 | Travel management method, system, device and medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115471188A (en) * | 2022-09-05 | 2022-12-13 | 漱玉平民大药房连锁股份有限公司 | Identification method and equipment for supply requirements of participant service ticket |
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2020
- 2020-12-23 CN CN202011545670.3A patent/CN114662722A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115471188A (en) * | 2022-09-05 | 2022-12-13 | 漱玉平民大药房连锁股份有限公司 | Identification method and equipment for supply requirements of participant service ticket |
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