System for management a trip plan

Abstract

The present invention relates to an AI-based travel plan management system. Specifically, this invention relates to an AI-based travel plan management system that utilizes generative AI, specifically OPEN AI, and Hadoop big data techniques to receive specific information from travelers and design and provide an overall travel plan. Furthermore, the present invention relates to an AI-based travel plan management system that enables more efficient travel by providing alternative solutions when schedule changes or spare time occur during the execution of a designed travel plan.

Description

Technology Field

[0001] The present invention relates to an AI-based travel plan management system.

[0002] Specifically, this invention relates to an AI-based travel plan management system that utilizes generative AI, specifically OPEN AI, and Hadoop big data techniques to receive specific information from travelers and design and provide an overall travel plan.

[0003] Furthermore, the present invention relates to an AI-based travel plan management system that enables more efficient travel by providing alternative solutions when schedule changes or spare time occur during the execution of a designed travel plan. Background Technology

[0005] In modern society, many people enjoy traveling despite their busy daily lives. In particular, with the advent of the post-COVID era, the desire for travel is increasing, making cultural activities such as family trips, backpacking, and attending festivals increasingly important.

[0006] In this way, the tourism business through travel is becoming a very important trend.

[0007] However, as cultural life has become more important, a significant amount of time and effort is required to find travel destinations and plan itineraries that fit the duration and budget.

[0008] Furthermore, while it is often necessary to adjust travel itineraries before or after a trip due to personal or external reasons, inconvenience arises because the schedule does not automatically change when moving to a new destination suitable for the situation. Therefore, there is a need for a new invention to resolve this inconvenience.

[0010] Regarding technology for designing travel plans, Registered Patent Publication No. 10-2410871 describes an AI-based travel companion matching system and method using prior travel planning information.

[0011] The above technology relates to an AI-based travel companion matching system and method using prior travel planning information. More specifically, it is a matching system for matching travel companions to use a travel product together, comprising a matching server that matches travel companions based on AI. The matching server includes: an information setting module that receives basic information from a customer terminal and receives and sets a selection of information to be shared with other customers among the basic information; a plan collection module that collects the customer's prior travel planning information; an information sharing module that selects a plurality of customers whose prior travel planning information collected by the plan collection module matches each other as matching customers, and transmits the information to be shared with other matching customers to the customer terminals of each customer belonging to the matching customers, thereby sharing the information to be shared with each other among the matching customers; a feedback receiving module that receives companion preference feedback regarding the matching customers from a customer terminal that has confirmed the shared information to be shared; and a matching module that matches travel companions among the matching customers based on AI using the basic information and the companion preference feedback.

[0013] In addition, Korean Patent Publication No. 10-2025-0001363 describes a program for automatically generating travel plans through a personal profiling AI algorithm.

[0014] The above technology relates to an automatic travel plan generation system utilizing personal profiling AI, which forms a dataset combining the user's personal characteristics (age, available budget, preferences, etc.) and external characteristics (weather, season, etc.), and efficiently matches this with data obtained through crawling and full surveys at the travel destination to automatically establish an optimal route and plan suitable for the schedule.

[0016] In addition, Registered Patent Publication No. 10-2538071 describes an artificial intelligence-based customized travel itinerary recommendation system and method.

[0017] The above technology provides a user-recommended customized travel itinerary recommendation service to a user terminal via a network in a web-based or mobile-based manner, and includes an operating server capable of automatically generating a travel itinerary through an artificial intelligence recommendation algorithm and big data collected from customer information, based on spatial information regarding travel destinations and programs and content regarding dynamic events or performances. Prior art literature

[0019] Registered Patent Publication No. 10-2410871 (Published June 20, 2022) Published Patent Publication No. 10-2025-0001363 (January 16, 2025) Registered Patent Publication No. 10-2538071 (Published May 30, 2023) The problem to be solved

[0020] The objective of the present invention is to provide an AI-based travel plan management system that designs and provides an overall travel plan by receiving specific information from a traveler through the use of generative AI, OPEN AI, and Hadoop big data techniques.

[0022] Another objective of the present invention is to provide an AI-based travel plan management system that enables more efficient travel by providing alternative plans when schedule changes or spare time occur during the execution of the travel plan designed and provided as described above. means of solving the problem

[0024] An AI-based travel plan management system according to the present invention, devised to achieve the aforementioned purpose, is characterized by comprising: a server that designs travel plan information based on travel destination information, period information, and budget information entered by a user, provides it to a user terminal, stores and manages the provided travel plan information as big data, and provides a predetermined analysis result.

[0026] At this time, the server is characterized by including a travel plan design unit that receives the travel destination information, period information, and budget information, designs travel plan information, and provides the designed travel plan information to the user.

[0028] In addition, the travel planning design unit receives additional travel style information from the user, wherein the travel style information includes information on whether the primary purpose of the trip is for rest or healing; information on whether it is for active adventure; information on whether it is for exploring culture or history; information on whether it is for shopping; information on whether it is for viewing nature or scenery; and information on whether it is for gourmet dining by visiting restaurants.

[0030] In addition, the server further comprises a travel information storage and management unit that stores travel plan information designed through the travel plan design unit as big data.

[0032] In addition, the server further includes a linkage unit linked to a separate server that manages flight reservations; wherein the linkage unit is characterized by performing a notification to the user based on the travel plan information of the travel planning design unit when the user has already booked the use of an airline for travel, or when an airfare cheaper than the booked airfare is detected through the linkage unit.

[0034] In addition, the server further comprises an alternative plan recommendation list providing unit that provides travel destination information excluded from the travel plan information as alternative stable information within a certain range of travel destinations based on the travel plan information of the travel plan design unit.

[0036] In addition, the server further includes a filtering checklist providing unit that receives filtering information to be reflected in the travel plan information designed by the travel plan design unit, wherein the filtering information is characterized as keyword information that the user avoids.

[0038] In addition, the server is characterized by further including a user-specific schedule information interface that provides travel plan information of the travel planning design department in a card format according to a time list.

[0040] In addition, the server further includes a mapping interface that maps and provides map information of a travel destination according to the travel plan information of the travel plan design department;

[0041] The above mapping interface is characterized by forming pins on map information upon clicking, and providing path information and distance information between the pins when two or more pins are set.

[0043] In addition, the above-mentioned travel planning design department is characterized by providing an AI-based conversational interface. Effects of the invention

[0045] According to the AI-based travel plan management system of the present invention, by utilizing OPEN AI, which is a generative AI, and Hadoop big data techniques, it is possible to receive specific information from a traveler and design and provide an overall travel plan; thus, it has the advantage of enabling the design of an efficient travel plan when planning a trip to an unfamiliar place where information is unavailable.

[0046] In addition, according to the present invention, by converting the travel information of other travelers into big data, it is possible to determine the destination and the efficient route within the destination, and furthermore, even if a change occurs during the trip, it has the advantage of being able to carry out an efficient trip using the provided alternative plan.

[0048] For example, as one embodiment, information by destination collected over a certain period can be provided, enabling other travelers to carry out a more effective trip by referring to the generated travel plan, and in particular, to enable the use of a satisfactory airline based on reviews (through natural language processing) from users who have completed their trip, thereby allowing even users who are not travel experts to receive highly reliable travel plans. Brief explanation of the drawing

[0050] Figure 1 schematically illustrates an AI-based travel plan management system according to the present invention. Figure 2 is a block diagram of the server of an AI-based travel plan management system according to the present invention. FIGS. 3 to 5 illustrate examples of use of an AI-based travel plan management system according to the present invention. Figure 6 shows an example of a user-specific schedule information interface of an AI-based travel plan management system according to the present invention. FIG. 7 shows an example of a mapping interface of an AI-based travel plan management system according to the present invention. Specific details for implementing the invention

[0051] Terms and words used in this specification and claims should not be interpreted as being limited to their ordinary or dictionary meanings, but should be interpreted in a meaning and concept consistent with the technical spirit of the invention, based on the principle that the inventor can appropriately define the concept of the terms to best describe his invention.

[0053] Therefore, the embodiments described in this specification and the configurations illustrated in the drawings are merely the most preferred embodiments of the present invention and do not represent all of the technical ideas of the present invention; thus, it should be understood that various equivalents and modifications that can replace them may exist at the time of filing this application.

[0055] Before proceeding with the following description with reference to the drawings, it should be noted that matters not necessary to reveal the gist of the invention, namely known configurations that a person skilled in the art with ordinary knowledge can obviously add, have not been illustrated or described in detail.

[0057] The present invention relates to an AI-based travel plan management system.

[0058] Specifically, this invention relates to an AI-based travel plan management system that utilizes generative AI, specifically OPEN AI, and Hadoop big data techniques to receive specific information from travelers and design and provide an overall travel plan.

[0059] Furthermore, the present invention relates to an AI-based travel plan management system that enables more efficient travel by providing alternative solutions when schedule changes or spare time occur during the execution of a designed travel plan.

[0061] The AI-based travel plan management system according to the present invention will be explained with reference to the attached drawings.

[0062] FIG. 1 schematically illustrates an AI-based travel plan management system according to the present invention, and FIG. 2 is a block diagram of a server of an AI-based travel plan management system according to the present invention.

[0064] The server in the present invention may be configured as a physical device, or it may be configured in the form of software or hardware and installed on a terminal. Alternatively, it may be applied as a virtual device.

[0065] That is, the above server can be applied by any means that a person skilled in the art could foresee at the time of filing the application of the present invention.

[0066] Such a server enables users to access and use it through terminals (e.g., meaning connection terminals such as smart terminals, laptops, desktops, PDAs, etc.), and allows for APP or WEB-based access.

[0067] Through this connection, users receive travel plan information from the server, and the designed and provided travel plan information is stored and managed as big data.

[0069] Such a server includes a travel plan design unit that receives predetermined information from a user, designs travel plan information, and provides the designed travel plan information to the user, as shown in Figure 2 of the attached drawing.

[0070] At this time, the user may be required to directly input destination information, duration information, and budget information into the received specified information fields, and the entered information is extracted and reflected.

[0071] To design travel plan information through the above-mentioned travel plan design unit, the system further includes a database that stores and manages linked information, wherein the database may include a travel destination database based on travel destination information; a transportation database based on transportation information, transportation fare information, and transportation usage information for each travel destination; a restaurant database based on restaurant information for each travel destination; and a shopping database based on shopping information.

[0072] However, databases are not necessarily limited to this and can be designed based on various types of information.

[0074] In addition, when designing a travel plan through the travel plan design unit of the above server, the user may be allowed to select travel style information, and to this end, the travel plan design unit may output a predetermined interface to the user's terminal.

[0075] In this context, a predetermined interface may be a list for selection, and style information refers to the style of travel, such as whether the primary purpose of the trip is for rest or healing, for active adventure, for exploring culture or history, for shopping, for viewing nature or scenery, or for gourmet dining such as visiting restaurants.

[0077] In designing and providing such travel plan information, the server may be provided in an AI-based interactive manner.

[0078] In other words, it is possible to collect information entered by the user interactively and to ask for clarification interactively if any information is missing. Additionally, travel style information could also be requested interactively or provided as a list for checking.

[0080] The aforementioned interactive functional provision involves modifying plans through real-time conversation using generative AI prompts. For example, conversational data (tokens) are collected via NiFi and stored in HDFS, and data preprocessing and natural language processing are performed in HDFS through NiFi integration.

[0082] The above-mentioned server outputs a value called travel plan information based on the user input value described above, and the travel plan provided in this way is comprehensively stored as travel information in the travel information storage and management unit and processed as big data.

[0083] And the above travel information storage and management unit can be analyzed by AI as shown in FIGS. 3 to 5 and provided as information.

[0084] FIGS. 3 to 5 illustrate examples of use of an AI-based travel plan management system according to the present invention.

[0086] For example, as shown in Figure 3 of the attached drawings, the travel information storage and management unit provides trendy tourist destinations for a specific country. This is an interface that provides tourist destinations frequently visited by travelers through statistical processing, and, for example, if the user specifies Japan for the analysis result visualization, it displays Japan.

[0088] As another example, as shown in Fig. 4 of the attached drawings, the travel information storage and management unit can provide airline reviews to be used for travel. This is provided based on reviews written by other travelers after they have traveled according to the travel plan information, and is an interface that can be provided, for example, when a user intends to select or has selected an airline.

[0089] For example, by providing reviews of travel to specific destinations by airline, users can easily identify the advantages and disadvantages of each airline.

[0091] Meanwhile, although not shown in the drawing, the above server may further include an airline linkage unit; and the airline linkage unit may be linked to an airline or flight reservation (possibly also applicable to ships and trains) server.

[0092] This airline linkage unit performs the function of notifying the user when a cheaper airfare than the one already booked by the user for travel is detected through linkage. However, since this should not affect the travel schedule, it may be desirable to provide it within a range of ±1 day based on the same date, such as through the remaining cheaper airfare.

[0094] As another example, as shown in Fig. 5 of the attached drawings, the travel information storage and management unit may provide information on travel plans within a certain period. This is provided based on other travelers receiving travel plan information through the server's travel plan design unit within a certain period, and is an interface that can be provided, for example, when a user sets a range of a certain period.

[0096] The above server further includes an alternative proposal recommendation list providing unit as shown in Fig. 2 of the attached drawing.

[0097] The aforementioned alternative recommendation list provision section is to provide alternative information to the user terminal via a recommendation list interface, within a certain range, regarding travel destinations planned as travel plan information, which may have been excluded due to the traveler's travel style, etc.

[0098] For example, in a trip to Osaka, Japan on January 21, 2025, if the travel destination is determined by a travel style focused on restaurants, other travel destinations that other travelers frequently visited when traveling to Osaka are provided as alternatives.

[0099] Through this, if the user has free time or a change in schedule, they can easily change their travel plans by viewing a list of recommended alternatives on the travel plan information.

[0100] For example, even if a popular restaurant is too crowded and the waiting time exceeds the travel schedule, or if it is closed and unavailable, you can still carry out the trip efficiently.

[0102] In addition, the above server further includes a filtering checklist providing unit.

[0103] The aforementioned filtering checklist provider filters out elements that the user avoids when designing travel plan information. This involves modifying and redesigning the travel plan information by removing keywords set by the filtering checklist, based on travel plan information saved by other travelers that is similar to the travel plan information designed for the user.

[0104] For example, when travel plan information is designed by setting a travel style such as rest / healing, and when bugs, stairs, etc. are entered by the user as a filtering checklist, the server modifies the design through the travel plan design unit to exclude places with many bugs and places with many stairs.

[0106] In addition, the above server may further include a user-specific schedule information interface.

[0107] The above-mentioned user-specific schedule information interface is an interface that provides the user's travel plan information in a card format according to a time list. In this context, a time list refers to a time list that includes hours, minutes, and seconds, as well as days, months, and years. While it is usually not necessary to consider months and years in a travel time list, this is included within the scope of the rights of the present invention as long-term travel may be planned.

[0108] Refer to Figure 6 of the attached drawings for this.

[0109] Figure 6 shows an example of a user-specific schedule information interface of an AI-based travel plan management system according to the present invention.

[0111] That is, as shown in Fig. 6 of the attached drawings, the travel plan information for January 21, 2025 among the user's travel plan information is displayed in a card format.

[0112] In other words, it contains a history of traveling a distance of 5 km by taxi from 9:00 AM to 9:30 AM, and arriving at and visiting a designated travel destination from 9:30 AM to 11:30 AM.

[0113] At this time, the above-mentioned user-specific schedule information interface can perform the function of sounding an alarm on the user terminal a certain amount of time before the scheduled time (e.g., 10 minutes before) based on the Real-Time Clock (RTC) for each set time list.

[0114] In addition, the above-mentioned user-specific schedule information interface may include separate checkboxes (not shown in the drawing) for each defined time list. This is intended to allow the server to recognize that the travel has been completed by checking the box when the user has completed the task for each time list.

[0115] At this time, based on the above check, the server can determine that the time list was executed earlier than the set time. To elaborate, in the time list of c), the meal is 1.5 hours long, until 14:00, but if the time when the checkbox was checked is 12:40 AM based on the RTC, then 1 hour and 20 minutes remain compared to the time list of c).

[0116] In this case, the aforementioned user-specific schedule information interface enables the provision and reflection of alternative information in a card format, based on the server's alternative recommendation list provider. That is, alternative information within a set range is provided to the user, and by adding a time list based on the user's selection, the travel plan information in card form for a specific date is modified.

[0118] An example of the interface described above based on Figure 6 is [Table 1].

[0119]

[0122] In addition, when the above-mentioned user-specific schedule information interface performs the function of sounding an alarm on the user terminal a certain amount of time before the scheduled time (e.g., 10 minutes before),

[0123] It functions to display a message window along with an alarm, and the message window may further include a check-in interface that allows the user to express their disappointment.

[0124] Since a travel destination may not appeal to the user, or they may like it and want to visit again but it may be impossible due to travel plan information, the purpose is to design the travel plan information so that when the check-in interface is checked, the user can revisit the destination when they return.

[0125] Alternatively, while executing a time list added via the recommended alternative list, users may feel regret due to a lack of time. Even in such cases, the purpose is to design travel plan information that allows the user to revisit the destination when they return.

[0127] In addition, the above server further includes a mapping interface.

[0128] The above mapping interface is provided as shown in Fig. 7 of the attached drawings and provides map information about a travel destination.

[0129] FIG. 7 shows an example of a mapping interface of an AI-based travel plan management system according to the present invention.

[0130] That is, the above mapping interface processes map information regarding a travel destination and provides it as a map, and functions to generate a pin when clicked on the map information, functions to set a path between the pins on the mapping information when two or more pins are generated, and functions to generate distance information on the mapping information when two or more pins are generated. At this time, the calculation of distance information is performed by multiplying the distance on the map based on the reduced scale of the map, and since this is known in various prior art, a detailed explanation will be omitted.

[0132] According to the AI-based travel plan management system of the present invention configured as described above, by utilizing OPEN AI, which is a generative AI, and Hadoop big data techniques, it is possible to receive specific information from a traveler and design and provide an overall travel plan; thus, it has the advantage of enabling the design of an efficient travel plan when planning a trip to an unfamiliar place where information is unavailable.

[0133] In addition, according to the present invention, by converting the travel information of other travelers into big data, it is possible to determine the destination and the efficient route within the destination, and furthermore, even if a change occurs during the trip, it has the advantage of being able to carry out an efficient trip using the provided alternative plan.

[0135] For example, as one embodiment, information by destination collected over a certain period can be provided, enabling other travelers to carry out a more effective trip by referring to the generated travel plan, and in particular, to enable the use of a satisfactory airline based on reviews (through natural language processing) from users who have completed their trip, thereby allowing even users who are not travel experts to receive highly reliable travel plans.

[0137] The description above using the drawings describes only the main aspects of the present invention, and it is obvious that the present invention is not limited to the configuration of the drawings, as various designs are possible within the technical scope.

Claims

Claim 1 A travel plan management system comprising: a server that designs travel plan information based on travel destination information, period information, and budget information entered by a user, provides it to a user terminal, stores and manages the provided travel plan information as big data, and provides a predetermined analysis result based on AI; wherein the server comprises: a travel plan design unit that receives the travel destination information, period information, and budget information to design travel plan information and provides the designed travel plan information to a user; a filtering checklist providing unit that receives filtering information to be reflected in the travel plan information designed by the travel plan design unit; an integration unit linked to a separate server that manages boarding reservations; an alternative plan recommendation list providing unit that provides travel destination information excluded from the travel plan information as alternative information within a certain range of travel destinations based on the travel plan information of the travel plan design unit; and a user-specific schedule information interface that provides the travel plan information of the travel plan design unit in a card format according to a time list.The above-mentioned travel planning design unit provides an AI-based conversational interface to enable real-time conversation and plan modification through generative AI prompts, and the above-mentioned filtering information refers to keyword information that the user avoids. The above-mentioned travel planning design unit is designed to exclude filtering information entered as being avoided by the user from the travel style information selected by the user through the above-mentioned travel planning design unit. The above-mentioned integration unit performs a notification to the user based on the travel plan information of the above-mentioned travel planning design unit if the user has already booked an airline for travel, or if a lower airfare than the booked airfare is detected through the integration unit. However, to avoid affecting the travel schedule, the detection is performed within a range of ±1 day based on the same date as the booked airfare. The above-mentioned user-specific schedule information interface performs a function to sound an alarm on the user terminal a certain time before the scheduled time based on a Real-Time Clock (RTC) for each defined time list. When sounding the alarm, it includes a completion checkbox for confirming the completion of execution for each defined time list, so that when the completion checkbox is checked, the server determines that the execution of the trip has been completed. A travel plan management system characterized by providing alternative information through the alternative recommendation list provider if there is remaining time based on the RTC at the time the completion checkbox is checked, allowing the user to select it, and further including a regret checkbox to express the user's regret, so that when the regret checkbox is checked, the travel destination is included in the travel plan information when the user revisits the destination. Claim 2 delete Claim 3 A travel plan management system according to claim 1, wherein the travel plan design unit further receives travel style information from a user, wherein the travel style information includes information on whether the main purpose of the trip is for rest or healing; information on whether it is for an active adventure; information on whether it is for exploring culture or history; information on whether it is for shopping; information on whether it is for viewing nature or scenery; and information on whether it is for gourmet dining by visiting restaurants. Claim 4 A travel plan management system according to claim 3, wherein the server further comprises a travel information storage and management unit that stores travel plan information designed through the travel plan design unit as big data. Claim 5 delete Claim 6 delete Claim 7 delete Claim 8 delete Claim 9 A travel plan management system according to claim 1, wherein the server further comprises a mapping interface that maps and provides map information of a travel destination according to travel plan information of the travel plan design unit, wherein the mapping interface forms a pin on the map information upon clicking, and when two or more pins are set, provides path information and distance information between the pins. Claim 10 delete

Images