258 results about "Trip planning" patented technology

As disclosed herein, a computer-implemented method for travel planning is provided. The computer-implemented method may include receiving, via a conversational user interface (UI), a user input associated with a product offered by a booking application. The computer-implemented method may include retrieving, from a database associated with the booking application, at least one attribute of the product. The computer-implemented method may include determining, using a first machine learning (ML) model of a plurality of ML models, a user intent associated with the user input. The computer-implemented method may include generating, based on the at least one attribute and the user intent, a first response to the user input. The computer-implemented method may include providing, via the conversational UI, the first response to the user input. A system and a non-transitory computer-readable storage medium are also disclosed.

The invention discloses an automatic business travel itinerary optimization method, and relates to the technical field of intelligent itinerary planning, and the method comprises the steps: integrating the multi-source heterogeneous data of enterprise policies, personal preferences and real-time traffic through a federated learning framework, and achieving the cross-domain knowledge sharing; the method comprises the following steps: constructing a staged optimization engine by adopting an attention mechanism to dynamically balance cost, time, comfort and sustainability targets: in the first stage, modularly disassembling a travel through sparse constraint linear programming, and quickly generating a Pareto frontier candidate set; in the secondary stage, on the basis of a multi-agent reinforcement learning framework, complex interaction is simulated through a Markov decision process, and strategy iteration is driven through a special reward function for quantifying a comfort index; in order to cope with real-time disturbance, event-driven edge computing nodes are deployed, flight delay and traffic jam emergencies are responded in real time, an incremental topology updating algorithm is triggered, and only affected sub-modules are reconstructed to reduce computing complexity. According to the invention, the bottleneck of dynamic adjustment efficiency and multi-target balance capability is solved.

The invention relates to a travel destination recommendation method and system based on big data and computer equipment, and the method comprises the steps: collecting the original data of travel history, browsing history and social media activities of a user from multiple channels, and constructing a user behavior data warehouse after preprocessing; key features reflecting user travel modes and preferences are extracted from a user behavior data warehouse, user feature vectors are constructed according to the key features, and a candidate destination recommendation list is generated through a mixed recommendation model. And constructing a feature vector according to geographic positions, climate conditions and resource endowment data of the candidate destinations, obtaining an optimal access time period through an ecological influence evaluation model, and matching with a recommendation list to screen out a proper destination. And finally, in combination with multiple preferences of the user, a complete travel plan is generated by using a reinforcement learning algorithm, and the purposes of accurate recommendation, ecological protection and real-time dynamic adjustment are achieved.

The present invention relates to an automated travel planning data processing system and method that leverages advanced artificial intelligence (AI) and machine learning (ML) algorithms to generate personalized travel itineraries in real-time. The system comprises a central server with one or more processors, memory, and a machine learning module, as well as a travel database that stores aggregated data from multiple sources. Users interact with the system through a natural language processing-based user interface, which receives inputs comprising travel dates, destinations, and preferences. An AI-powered itinerary generation engine processes user inputs and aggregated data to create personalized travel plans, utilizing a multithreading module for simultaneous data retrieval and processing. The machine learning module continuously optimizes the itinerary generation process by analyzing user preferences and travel data patterns. The invention also provides a method for automated travel itinerary planning using the data processing system.

A system is provided.SOLUTION: A system including means for a user to input a destination, a departure point, a departure date, a period of stay, a desired transportation means, a condition of an accommodation facility, and a necessity of a rental car, means for collecting information on an optimum transportation means, an accommodation facility, and a rental car based on the condition of the travel from the Internet by using a generated AI, means for analyzing the collected data and generating a cost-effective travel plan, means for displaying the generated travel plan and time sale information of an airline company to a user, and means for communicating with a corresponding transportation means, accommodation facility, and rental car according to the travel plan selected by the user to make a reservation.SELECTED DRAWING: Figure 1

To provide a server apparatus which can provide a travel plan suited to requirements for which a user requires for a travel.SOLUTION: A server apparatus comprises acquisition means and proposal means. The proposal means acquires travel requirements as requirements for a travel from a user requesting a travel plan by a question form. Among plural travel plans prepared in advance, the proposal means selects at least one or more travel plans suited to the acquired travel requirements, and proposes the selected travel plan to the user.SELECTED DRAWING: Figure 1

The invention discloses a transfer travel planning method, which is applied to a service program constructed based on LLM. Comprising the following steps: in response to a direct travel planned for a user, generating at least one guide tag in real time based on target data related to a transit travel demand of the user; the at least one guide label is used for guiding a user to carry out transfer route planning; the guide tag is a composite tag which is composed of a plurality of basic tags and can represent the transit travel demand of the user; outputting and displaying the at least one guide label to the user in an itinerary planning interface; and in response to a selection operation of a user for any target guide tag in the at least one guide tag, further inputting the target guide tag to the LLM, performing reasoning calculation by the LLM based on the target guide tag, planning a transfer travel having the same travel information as the direct travel for the user, and sending the transfer travel to the user. And outputting and displaying the planned transfer travel to a user through a travel planning interface.

To provide a system capable of allowing a traveler to create a personalized travel plan based on their travel period, budget, and other criteria, to easily approve or disapprove events, and to efficiently complete travel, accommodation, and other arrangements and payments.SOLUTION: The system includes: means for creating a one-off travel plan based on the conditions and purpose of the travel; and means for repeatedly approving and disapproving events, and after all events have been approved, making travel and accommodation arrangements and payments with just one tap.SELECTED DRAWING: Figure 1

The invention provides an itinerary planning method and device, and the method comprises the steps: obtaining an initial scenic spot knowledge graph generated by a large language model intelligent system according to a preset knowledge graph construction standard for an itinerary demand inputted by a first user, the initial scenic spot knowledge graph comprises at least one region corresponding to a target city indicated by the travel itinerary demand, at least one scenic spot in each region and scenic spot information; in response to a modification operation executed by a second user for the initial scenic spot knowledge graph, obtaining a modified target scenic spot knowledge graph; and inputting the target scenic spot knowledge graph into a large language model intelligent system to obtain at least one target scenic spot which is determined by the large language model intelligent system in the target scenic spot knowledge graph according to a preset planning condition and meets a travel itinerary demand, and generating an itinerary planning time table.

A system is provided.SOLUTION: A system comprising: means for collecting survey information related to a travel from a user; means for analyzing the survey information and generating an optimal travel plan; means for generating a short movie that provides a visual image based on the travel plan; and means for transmitting the travel plan and the short movie to a user terminal.SELECTED DRAWING: Figure 1

An apparatus, including a monitoring device including a database which stores travel itinerary or a travel schedule information of an individual, a global positioning device; and an RFID tag; an RFID reader; and a computer. The computer generates a first message containing information regarding a date and a time when the RFID tag was detected or read and information regarding an address of the venue or information regarding a position or location of the vehicle. The computer transmits the first message to a user communication device, the monitoring device, or a central processing computer. The personal monitoring device determines that the individual is not following the travel itinerary or travel schedule, or that the individual has deviated from the travel itinerary or travel schedule. The monitoring device generates a second message containing information regarding a location of the individual and transmits the second message to the user communication device.

Embodiments are described for implementing a tour generation feature for completing tasks within a facility of an inventory management system. Coordinates for stations, starting locations of inventory holders, and rest locations of the inventory holders of the facility may be obtained. A set of tasks may be determined for each station based on an inventory item requirement associated with each station. A priority order for a subset of inventory holders may be determined based on priority characteristics associated with each inventory holder. Tours for the subset of inventory holders may be determined based on the set of tasks, the coordinates, and travel attributes for each inventory holder. The tours may be modified by iteratively invoking a large neighborhood search algorithm that uses destroy heuristics. Previously determined tours for other subsets of inventory holders may be updated using the modified tours for the subset of inventory holders.

The present disclosure discloses the automated travel planning system and method. The system includes an input data module (102) to receive real-time user inputs, a data fetching module (104) to collect travel-related data, and a data aggregation module (106) to generate an aggregate database. A preprocessing module (108) processes data, while a filtering module (109) refines travel plans based on predefined criteria. A recommendation module (110) generates a ranked list of plans, and a booking module (112) facilitates reservations. A notification module (114) ensures real-time updates, while a feedback module (116) collects user reviews. Additionally, a subscription module (118) manages subscriptions, a payment module (120) enables secure transactions, and a schedule organizer module (122) assists in managing daily activities. The system (100) ensures efficient, user-centric travel planning.

The system according to the embodiment aims to select and provide an optimal travel plan that meets the diverse needs of users. [Solution] A system according to an embodiment includes a collection unit, an analysis unit, and a provision unit. The collection unit collects user information. The analysis unit analyzes the information collected by the collection unit and selects an appropriate plan. The provision unit provides the plan selected by the analysis unit to the user.

A system is provided.SOLUTION: Means for inputting a travel request through an interface, means for receiving and analyzing the input travel request data, means for searching for a travel plan based on the analyzed request, means for evaluating the searched travel plan and selecting an appropriate plan, means for presenting the selected travel plan to a user terminal, means for performing cooperation with a local guide based on the travel plan selected by a user, means for matching a schedule with the local guide through the cooperation, and means for determining a final travel plan and notifying the user terminal of the final travel plan. Means for notifying a local guide of the finalized trip plan.SELECTED DRAWING: Figure 1

The application relates to the field of trip planning, and provides a personalized trip planning method and system based on a large language model and a recall strategy, which comprises the following steps: analyzing and refining demand information on a demand field; screening and calculating a point-of-interest recall score to obtain initial candidate points of interest; clustering the initial candidate points of interest to obtain a first cluster including a cluster boundary, constructing a virtual point of interest to obtain a virtual point of interest and merging the virtual point of interest into the first cluster to obtain a second cluster, calculating a point-of-interest standard score, and screening to obtain a high-recommendation-degree point of interest according to the point-of-interest standard score; obtaining a point-of-interest cluster, inserting the second cluster to obtain a third cluster, calculating a cluster density, rearranging the third cluster to obtain a fourth cluster, calculating a center turning angle, and obtaining a target cluster; obtaining an initial global optimal solution based on a greedy search target function and the target cluster, optimizing the initial global optimal solution based on a multilayer nested target function, and completing the planning of the trip.

A trip planning and reservation system and method is disclosed that may include a U.I. software application executing on a computing device (e.g., mobile device). The U.I. software application may transmit the user account information to an external server. The external server may validate the user account information and transmit an access token to the mobile device. An AI algorithm may be operable to predict and select the plurality of digital media files based on operational data that includes the user account information and one or more user interest tags. It is contemplated that the digital media files may include geographic coordinate data and informational data about a location within a pre-defined proximity of the desired travel route. A first file may then be selected from the plurality of digital media files for inclusion within the desired travel route displayed by the U.I. software application.

Embodiments monitor one or more inventory items corresponding to a vehicle. Embodiments generate a trip plan including, for the vehicle, a start location, an end location, and one or more stops, and for each of the inventory items, a pickup location and a drop off location corresponding to the one or more stops. Embodiments, for each of the inventory items, detect that the vehicle has entered the pickup location based on the trip plan and in response automatically link a sensor to the inventory item. Embodiments, for each of the inventory items, detect that the vehicle has entered the pickup location based on the trip plan and in response automatically unlink the sensor from the inventory item.

A system is provided.SOLUTION: This system is provided with a means for inputting the desire of travel by a user in an interactive form, a means for proposing an optimum travel destination, moving means and accommodation facilities based on the inputted desire of travel, a means for displaying proposed travel plans and reserving the plan selected by the user and a means for performing a payment procedure in the process of reservation.SELECTED DRAWING: Figure 1

The present application relates to the technical field of intelligent travel planning, specifically a multi-modal data-driven multi-destination travel planning system, which comprises a data integration and analysis module, a time series conversion module, a time window calculation module, a strategy development module, a route optimization module, and a real-time adjustment module. In the present application, by integrating GPS tracking, social media, and online travel platform data, the accuracy of capturing traveler preferences and associated locations during travel is significantly improved. The dynamic connectivity analysis between travel paths and locations is optimized. The application of Laplace transform processing time series data simplifies complexity, improves conversion accuracy and response speed. The dynamic adjustment of time windows matches travel demand, optimizes stay time allocation, improves travel efficiency, continuously updates travel plans and dynamically adjusts routes, responds to emergencies, and improves the flexibility and practicality of travel arrangements, thereby significantly improving user satisfaction and travel experience quality.

We provide the system. [Solution] A means of receiving traveler input conditions, A generation means for generating a travel plan based on received input conditions, A booking method for making various reservations based on the generated travel plan, A means of monitoring and responding to changes in information that occur during travel in real time, A means of collecting feedback from travelers after their trip and incorporating it into future travel planning, Providing information on facilities around physical stores and supporting visits to those facilities, A system that includes this.

A system is provided.SOLUTION: A system comprising: means for receiving information on a travel destination, a period, an activity, and a meal desired by a user; means for generating an optimal visiting place and schedule based on the received information; means for cooperating with a map information providing service to automatically calculate a moving time; means for collectively reserving accommodation facilities, transportation facilities, and activities; means for acquiring weather information and a situation of a tourist spot in real time and proposing a change plan of a travel schedule; and means for coping with a plurality of languages.SELECTED DRAWING: Figure 1

The application discloses a bus passenger trip planning method based on a multiple graph, and steps of the method comprise the following steps: 1. obtaining an original bus network; 2. generating a direct link multiple graph based on the original bus network; 3. constructing a passenger super-path sub-network based on the multiple graph and passenger trip information; 4. recommending an optimal trip path to the passenger according to an optimal strategy distribution principle; and 5. tracking the passenger position in real time and dynamically adjusting the recommended trip path. The application can recommend more abundant trip path schemes from the passenger's perspective, give the passenger more free selection space, dynamically adjust the trip path scheme to a certain extent, adapt to the change of a traffic environment, thereby meeting the path selection under various environments, greatly simplifying the process of searching for a trip path, and improving the path search efficiency.

An object of a system according to an embodiment is to automatically generate a travel plan and provide an optimal travel plan based on a user's hobbies and preferences.SOLUTION: A system includes a generation part, a learning part, and a cooperation part. The generation unit automatically generates a travel plan. The learning unit learns hobbies or preferences of the user on the basis of the plan generated by the generation unit. The cooperation unit cooperates with a specific service on the basis of the information learned by the learning unit.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A system comprising: input means for allowing a user to input a condition related to a travel; storage means for storing the condition received from the input means; generation means for generating a travel plan based on the stored condition; suggestion means for suggesting the generated travel plan to the user; and reservation means for collectively making reservations based on the travel plan selected by the user.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A management device for providing a customized travel plan to a user, the management device comprising: interface means for allowing the user to input a travel plan; QR generation means for generating a QR code corresponding to travel, experience, eating and drinking, and purchase based on the travel plan of the user; transmission means for transmitting the QR code to a terminal of the user; and authentication means for performing authentication when a scanner of each station reads the QR code.SELECTED DRAWING: Figure 1

1. Name of the design product: Circular travel track graphical user interface for electronic devices. 2. Use of the design product: For an electronic device. 3. Design key points of the design product: Lies in the graphical user interface. 4. Picture or photo that best shows the design key points: Front view. 5. The electronic device has a conventional design, and other views are omitted. 6. Use of the graphical user interface: For circular travel tracks, providing travel plans. 7. Human-computer interaction method of the graphical user interface: Swipe up the front view by gesture to enter the interface change state diagram 1, and continue to swipe up the interface change state diagram 1 to enter the interface change state diagram 2. 8. Other situations that need to be explained: The single gray filled area in the interface is the content screen.

This document provides a system, method, and program for generating travel plans. [Solution] A method for generating a travel plan includes one or more processors receiving user input from a user terminal, determining a plurality of destinations based on the user input, determining the order in which to visit the plurality of destinations to determine a travel route including the plurality of destinations, searching for accommodation within a search range associated with the location information of the last of the plurality of destinations, generating a travel route by adding accommodation to the end of the travel route, and transmitting the travel plan including the travel route to the user terminal.

We provide the system. [Solution] A means of receiving user attribute information and image information, and analyzing that data to infer user preferences and travel requests, A means for automatically generating multiple travel plans based on the aforementioned analysis and assigning titles to the generated travel plans, A means for customizing and updating the aforementioned travel plan according to the user's request, A means for generating a preparation list that presents necessary items and actions based on a travel plan, A means of receiving user feedback after their trip and updating a database to use for future travel planning suggestions, A system that includes this.

An object of a system according to an embodiment is to provide a custom-made travel plan based on a user's hobby and life.SOLUTION: A system according to an embodiment includes a data collection unit an analysis unit a travel plan generation unit and a moving image generation unit. The data collection unit collects photograph data of a user from a photograph management application. The analysis unit analyzes the photographic data collected by the data collection unit, and analyzes the life and hobbies of the user. The travel plan generation unit generates a custom-made travel plan based on the data analyzed by the analysis unit. The moving image generation part generates a travel experience moving image utilizing the user's face and scenery on the basis of the travel plan generated by the travel plan generation part.SELECTED DRAWING: Figure 1