330 results about "Trip planning" patented technology

An AI-powered personalized travel recommendation system for tourists, consisting of: a user interface configured to receive user input regarding travel preferences, interests, budget constraints, and desired length of stay; a data processing unit comprising one or more machine learning algorithms configured to analyze user data, including but not limited to past travel behavior, demographic information, and real-time location data, to generate personalized travel recommendations; a recommendation engine that is operationally connected to the data processing unit and configured to synthesize and aggregate various data sources, including social media activity, online reviews, weather forecasts and local events, to compile a list of tailored destinations, activities, accommodations and dining options; an adaptive feedback loop that changes recommendations based on user interactions and feedback, with the feedback being used to improve the machine learning algorithms over time; a travel itinerary generator that uses the results of the recommendation engine to create an optimized itinerary, making it easier to discover popular tourist attractions, hidden gems, and off-the-beaten-path experiences; and a sharing module that allows users to share their personalized itineraries and ratings with other users of the system, thus promoting a community-oriented approach to travel planning.

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.

To provide assistance in creating a travel plan.SOLUTION: A control system disclosed herein comprises an input unit for receiving information from a user, a processing unit configured to perform specific processing using a sentence generation model for generating a sentence according to input information, and an output unit configured to control an electronic device to output a result of the specific processing. The processing unit inputs travel-related request information from the user to the sentence generation model to perform processing for generating a travel plan to be recommended to the user as the specific processing.SELECTED DRAWING: Figure 2B

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

An innovative system is introduced to elevate the tourist experience, offering a single, comprehensive platform for pre-trip planning, on-site photo capturing, and during or post-trip sharing. Users can customize their itinerary through an intuitive interface, prompting the server to supply extensive information on the selected attractions, including detailed descriptions, photography guidance, and social content creation tips. Pre-trip, tourists are equipped with thorough knowledge about their tourist attractions, enhancing preparation and anticipation. During the journey, users receive on-the-spot photography guidance to maximize experience capture. During or post-trip, the system eases the process of sharing the journey across platforms. This holistic approach amplifies understanding of chosen attractions, improves documentation of experiences, and facilitates effortless sharing, profoundly augmenting the tourism experience.

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

Techniques are disclosed for providing at least one proposed alternative plan of travel of a vehicle are disclosed based upon data of at least one geographic region about at least one of global navigation satellite system (GNSS) spoofing and GNSS jamming. If a current path of travel of the vehicle intersects at least one geographic region of at least one of GNSS spoofing and GNSS jamming, then determining the at least one proposed alternative plan of travel of the vehicle. At least one of the at least one proposed alternative plan of travel includes a path of travel that does not intersect at least one geographic region of the at least one geographic region of at least one of GNSS spoofing and GNSS jamming. The determined at least one proposed alternative plan of travel is sent to the vehicle.

To provide a system.SOLUTION: A system includes: means for providing a personalized travel plan on the basis of a user's taste for travel, budget, and schedule by utilizing an AI; means for proposing, for example, a recommended hotel and traffic means and for enabling reservation as it is in collaboration with travel-related services; and means for generating personalized sightseeing guidebooks and itineraries by utilizing a regenerative AI and for allowing the culture and history of a travel destination, distinctive features of regions, and the like to be understood deeply.SELECTED DRAWING: Figure 1

The invention relates to the technical field of intelligent travel planning, in particular to a multi-modal data-driven multi-destination travel planning system, which comprises a data integration and analysis module, a time sequence conversion module, a time window calculation module, a strategy development module, a route optimization module and a real-time adjustment module. According to the method, by integrating GPS tracking, social media and online travel platform data, the capture precision of traveler preferences and travel related places is remarkably improved, the dynamic connectivity analysis between travel paths and places is optimized, time sequence data is processed by applying Laplace transformation, the complexity is simplified, the conversion precision and the response speed are improved, and the method is suitable for popularization and application. Time windows are dynamically adjusted to match travel requirements, residence time distribution is optimized, travel efficiency is improved, travel plans are continuously updated, routes are dynamically adjusted, emergencies are handled, and flexibility and practicability of travel arrangement are improved, so that user satisfaction and travel experience quality are greatly improved.

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.

An interactive system for use in connection with recreational vehicle usage includes a server system, including an off-road trail database containing trail data, trail condition information, and points-of-interest information, as well as a trip mapping system accessible by any of a plurality of riders, allowing a rider to create a route based on the data in the off-road trip database. The server system further includes a trail maintenance interface accessible by users affiliated with an authorized group to edit the trail data, trail condition information, and points-of-interest information associated with the authorized group. The server system includes a location data management system configured to receive location data, allowing a rider to publish location information to one or more other riders, and a user feedback interface configured to receive trip data from riders for publication, including information describing an actual route and user data associated with that route.

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.

To provide a system that uses generative AI to propose an optimum travel plan to a traveler, provides translation, a reservation of a restaurant or the like, and map information and the like, provides a service for travelers in consideration of domestic inbound demand, and performs expansion of a specific settlement service economic sphere and effective use to revitalization of local communities as a specific settlement service user target including wining over a person who does not use.SOLUTION: In a data processing system including a data processing device and a smart device, a specific processing section uses generative AI to generate, when a traveler inputs information such as a purpose of travel, a budget, and a stay period into application, an optimum travel plan including a visiting order of tourist resorts, a reservation of a restaurant, selection of transportation means and the like, on the basis of these pieces of information, and preferentially recommend a store or facility in which a specific settlement service is available in the generated travel plan. Also, the specific processing section collects evaluations and comments from travelers and uses them as learning data for the generative AI to improve the accuracy of proposing the travel plan.SELECTED DRAWING: Figure 2

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.

To address the problem of presenting a plan in a plurality of patterns in response to a user's input regarding his mood or what he wants to do, a place that he wants to go, and with whom he wants to go, proposing lodging facilities and movement means and the goods to buy as souvenirs, so as to facilitate creating a travel plan.SOLUTION: Provided is a system including the means for: inputting the thing one wants to do, his mood, a place that he wants to go, and with whom he wants to go; presenting a plan in a plurality of patterns; and proposing lodging facilities and movement means and the goods to buy as souvenirs.SELECTED DRAWING: Figure 1

To address the issue of travelers overlooking photo spots during travel.SOLUTION: A travel planning support system comprises: means for allowing a user to create a travel plan for a desired area; means for providing route guidance based on the created travel plan; and means for informing the user of spots of potential interest during route guidance.SELECTED DRAWING: Figure 1

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.