153 results about "Ticket price" patented technology

The invention discloses a dynamic public transport scheduling optimization system based on artificial intelligence, and the system comprises a mobile application program which is used for collecting the feedback of passengers, and displaying the real-time bus information, predicted arrival time, route suggestions and ticket price information to the passengers; the background management module is used for monitoring the state of the optimization system, adjusting a scheduling strategy and managing for feedback, and regularly maintaining and updating the optimization system; the data collection module is used for collecting vehicle GPS data, traffic flow monitoring data, weather conditions, special event information and historical and real-time data fed back in real time on social media; and the multi-modal traffic data fusion processing module is used for fusing the historical and real-time data collected by the data collection module and preprocessing the historical and real-time data. The invention also discloses a dynamic public transport scheduling optimization method based on artificial intelligence. According to the invention, the operation efficiency and the passenger satisfaction degree of public transportation are improved.

The invention provides a business travel itinerary recommendation and cost optimization method and system based on big data, and relates to the technical field of big data, and the method comprises the steps: obtaining the real-time traffic information and hotel information of a destination city; a machine learning model is utilized to analyze user travel characteristics, traffic information is intelligently screened, and a traffic scheme conforming to enterprise travel standards is generated. And determining an accommodation time interval according to the traffic scheme and the business activity time, and screening candidate hotels. And performing time sequence analysis on the air ticket price and the house fee, predicting a price fluctuation trend, determining the optimal reservation time, and generating a business travel itinerary initial scheme. And finally, pushing a travel confirmation request to a related contact person, dynamically optimizing the initial scheme according to feedback information, and outputting a final travel travel scheme with the lowest total cost. According to the invention, big data analysis, machine learning and time sequence analysis technologies are combined to intelligently recommend the business travel scheme which accords with enterprise business travel standards and has the lowest cost, so that the business travel efficiency is improved, and the business travel cost is reduced.

The invention discloses a hybrid payment method and device based on air-railway linkage and electronic equipment, and relates to the technical field of aviation information or other related technical fields, and the method comprises the steps: analyzing a ticket buying request, and obtaining ticket buying demand information and user account information; determining a flight identifier and a railway identifier based on the ticket buying demand information, and obtaining a mileage payment rule of a target flight, a ticket price of the target flight and a ticket price of a target railway based on the flight identifier; the mileage integral of the target account is obtained based on the user account information, the mixed payment proportion and price are calculated based on the above information and preset constraint conditions, and a mixed payment strategy is generated; and payment operation is executed based on the hybrid payment strategy, and ticket issuing information is generated under the condition that payment succeeds. According to the invention, the technical problem of low efficiency caused by the fact that a user needs to manually acquire the mileage points, know the mileage point payment rule, manually calculate the payment proportion and purchase the ticket during the purchase of the interline ticket in the prior art is solved.

The invention discloses an international air ticket price verification method and device, a storage medium and electronic equipment, the method is applied to the technical field of aviation, and the method comprises the steps: sending a target request to a first subsystem and a second subsystem under the condition that it is detected that a target user initiates the target request; processing the target request through the first subsystem to obtain a first processing result, and returning the first processing result to the target user; processing the target request through the second subsystem to obtain a second processing result; and verifying the second processing result according to the first processing result to obtain a verification result. Through application of the method and the device, the problem that the verification result is inaccurate due to the fact that the function supported by each application program cannot cover the existing function of the airline in the process of verifying the freight rate calculation result of the airline open system through the application program of the agent in the related technology is solved.

The invention discloses a rail transit virtual transfer method and device, electronic equipment and a storage medium, and the method comprises the steps: judging whether a current arrival station of a passenger is a virtual transfer station, and if not, determining the type of a current travel as a non-virtual transfer travel; if yes, whether the current journey meets the virtual transfer condition or not is judged according to the journey record of the last journey of the passenger and the virtual transfer parameters of the current entering station; if yes, determining that the type of the current travel is a virtual transfer travel; if not, determining the type of the current journey of the passenger as a non-virtual transfer journey, and calculating the ticket price of the current journey according to the type, so that the journey of the passenger in the adjacent stations which cannot be communicated in the stations is determined as the virtual transfer journey, the virtual transfer journey is used as a connection to calculate the connection ticket price, the riding ticket price is more reasonable and preferential, and the transfer cost of the passenger is saved; and for the passenger who purchases the interline ticket price, the passenger can enter another station to transfer after leaving the station by holding the interline ticket without buying the ticket again, so that the transfer is more convenient.

A method is provided that enables aircraft to contribute to global cooling by flying at select locations, altitudes, and times. An aircraft will deviate from its planned departure time and flight path to “harvest” prime sections of the atmosphere. Consequently, just as passengers have the option to lower their ticket prices by choosing inconvenient departure times and longer indirect flights, adoption of the method by the airline industry will enable passengers to trade these same options for a lower “environmental price”. The method enables the airline industry to switch from a contributor to global warming, to a contributor to global cooling. In this respect, the method enables the airline industry to be a global cooling technology comparable to carbon capture and sequestration. Unlike the immense capital investment required by other global cooling technologies, the method requires no capital investment because it exploits the existing multitrillion-dollar global air transportation infrastructure.

The invention provides a flexible bus route planning method based on user travel behavior prediction. The invention discloses a flexible bus route planning method based on user travel behavior prediction. The method comprises the following steps: S1, collecting and integrating multi-source travel data; s2, user behavior analysis and demand prediction; s3, dynamic service area division; s4, generating and optimizing a flexible line; s5, performing real-time dynamic scheduling and adjustment; s6, ticket price dynamic generation and feedback; and S7, service effect evaluation and iterative optimization. The flexible bus route planning method based on user travel behavior prediction provided by the invention has the advantages of being capable of obtaining balance between global optimum and calculation efficiency, reducing the vehicle empty driving rate, improving the route operation cost recovery rate, quickly responding to newly added demands and shortening the average waiting time of passengers.

The invention discloses an urban rail transit emergency passenger flow distribution method based on dynamic subsidy optimization, and the method comprises the steps: firstly obtaining the sudden interruption event data of a subway station; secondly, calculating the waiting time of each traffic mode, and comprehensively considering the influence of the transport capacity constraint, the passenger tolerance threshold, the ticket price down-regulation policy and the flow dynamic change on the waiting time; thirdly, a multilayer logarithmic linear decision model is adopted to calculate selection probabilities of passengers for different traffic modes, and a ticket price down-regulation scheme is optimized according to a supply-demand relationship; then, through iterative calculation of generalized Nash equilibrium, passenger distribution is dynamically adjusted, so that the supply-demand relationship of each traffic mode tends to be optimally balanced; and finally, a traffic scheduling strategy is adjusted in real time based on an optimization result, passengers are guided to reasonably select a traffic mode, and the overall evacuation efficiency is improved. According to the method, the optimal passenger shunting and ticket price strategy can be formulated according to the real-time passenger flow distribution characteristics, the passenger endurance and the traffic supply capability under the emergency condition of the subway station.

A system and method for conducting transparent digital raffles using a fixed-value ticket aggregation model. The system employs a mathematical balance principle ensuring the total value of sold tickets equals the declared market value of the raffled product. Key components include: a value balance mechanism maintaining the equation (Ticket Price×Total Tickets=Product Value); a probability adjustment system enabling different ticket pricing configurations while preserving value equivalence; an over-sale prevention mechanism; an automatic refund system for incomplete raffles; and a verifiable random selection process that triggers only after all tickets are sold. The system incorporates security measures including encrypted data storage, transaction verification, and cryptographic proof of randomness for draws, creating a legally-compliant alternative to traditional raffle systems.

The invention discloses an air ticket price prediction method based on TCN-Transform. The method comprises the following steps: collecting and preprocessing air ticket prices and flight related data; constructing a feature project according to the air ticket price sequence data set; the feature importance is judged according to the OOB error rate of the random forest algorithm, and features are selected according to the importance; the time convolution network is combined with a Transform model, deep interaction and fusion are carried out on features extracted by the TCN and the Transform through a cross attention mechanism, and a TCN-Transform combined prediction model is constructed; and training the combined prediction model, and outputting an air ticket price prediction result. According to the method, the problems that the long-time sequence gradient disappears and a complex nonlinear mode cannot be captured are solved, and the problem that the prediction precision and the prediction effect are not ideal due to the fact that a single Transform model is adopted for prediction is solved.

1. Name of the Design Product: Computer with a Graphical User Interface for Seat Division. 2. Use of the Design Product: This product is used for a computer. 3. Design Key Points of the Design Product: Lies in the content of the graphical user interface. 4. Picture or Photograph that Best Illustrates the Design Key Points: Front View. 5. The claimed design includes color. 6. For conventional designs, the rear view, left view, right view, top view and bottom view are omitted. 7. Use of the Graphical User Interface: For dividing seat prices, setting reserved seats, setting marked seats, and displaying and interacting in large-scale events.

The invention provides a ticket price system setting method based on multi-objective optimization and dynamic adjustment, and relates to the technical field of asset income management, and the method comprises the steps: collecting order data of all seats starting from one place to another place in a travel interval, and building a cost function; increasing price point density in the key area, filling additional price points by using an interpolation method to obtain a potential execution price set, and calculating transportation income under a price combination by using an income calculation model by using traversal calculation and a fast elite multi-objective genetic algorithm to obtain an optimal price combination; and verifying the setting result, establishing a dynamic adjustment mechanism, and adjusting the ticket price system setting method based on the real-time sales data, the market feedback continuous optimization price point and the verification result so as to ensure the final optimization effect of the ticket price system setting method. According to the method, a group of optimal prices are selected from alternative ticket prices as execution prices through research on a demand price curve.

We provide the system. [Solution] Means of collecting data from past events, A means of preprocessing the collected data and converting it into features, A means of creating a machine learning model using preprocessed data and verifying the analysis results, A method for predicting ticket prices based on new event information, A means to output predicted pricing and adjust it as needed, A means to finalize the pricing and save it in the system, A system that includes this.

The invention discloses a rail transit ticket price optimization method and system based on big data, and relates to the technical field of intelligent optimization, and the method comprises the following steps: carrying out the first matching according to operation data and a distance radiation condition, carrying out the second matching according to the operation data and a date radiation condition, and calculating overlapping passenger flow resources and inverse difference passenger flow resources; and performing first optimization, calculating the total profit after the first optimization, and performing second optimization on the ticket price of the station after the first optimization according to the profit expectation. According to the invention, the ticket price is optimized, the passenger flow is distributed more reasonably, the congestion in peak hours is reduced, the utilization rate of trains is improved, the ticket price is optimized, the ticket price income is improved, the satisfaction degree of passengers is improved, the ticket price is flexibly adjusted according to different dates, time and passenger flow changes, the market change and the passenger demand are better adapted, and the market competitiveness is improved. The ticket price optimization method based on the big data significantly improves the operation efficiency and economic benefits of rail transit in practical application, and can provide higher-quality services for passengers at the same time.

The present invention is directed to improved secure ticketing methods, APIs, and platforms that address duplicative fraudulent tickets and concurrently afford dynamic features that can offer restrictions and benefits to the secure tickets. In certain embodiments of the present invention, the secure ticketing methods, APIs and platforms are scalable, consistent, and efficient. Moreover, the secure ticketing methods, APIs, and platforms dynamically offer assignable immersive experiences upon ticket scanning, creating digital memorabilia and other real-world experiences. In certain embodiments the secure ticketing methods, APIs, and platforms afford a solution for addressing price inflation created by ticket purchasing bots.

The application provides a business travel trip management method, system, device and storage medium of customizing ticket price, the method comprises the following steps: reading account level configuration switch state and customizing high price management parameter, the parameter comprises time interval configuration, percentile value P, coefficient and management mode configuration; receiving flight information selected by a user, extracting the takeoff time and judging the hit target time interval; obtaining all flight price data in the time interval and sorting, extracting the price at the corresponding quantile point as the reference price according to the percentile value P; multiplying the reference price by the coefficient to obtain the customizing highest price; judging whether the flight price exceeds the highest price, if not, allowing direct booking, if exceeding, triggering the over-standard processing procedure, providing an over-standard reason selection interface and displaying over-standard reason information. The application realizes flexible and fine high price ticket management in the business travel scene, and takes into account the enterprise management demand and the convenience of employee travel.

To charge a correct fare when an IC card ticket is an off-peak commutation ticket.SOLUTION: A station service device includes: a processing unit that reads a record on an IC card ticket; a determination unit that determines whether the IC card ticket is an off-peak commutation ticket to which a commuter fare is applied when used in an off-peak time zone on a weekday based on the record read by the processing unit; and an input unit by which listening content from a user of the IC card ticket can be input. The determination unit determines whether a processing day of another station entrance processing is a Saturday or holiday when the IC card ticket is the off-peak commutation ticket, and when the processing day is not a Saturday or holiday, determines whether an entry time in another station is a peak time zone in the other station based on the listening content input from the input unit. The determination unit determines that a normal fare is applied when the entry time is the peak time zone, and determines that the commuter fare is applied when the entry time is not the peak time zone.SELECTED DRAWING: Figure 2

The present invention relates to a travel management system (100), comprising a unified fare comparison module, a memory, a multi-modal transportation integration module, an user interface, an input receiving module and a route optimization module. The unified fare comparison module receiving one or more information including a number of transportation modes and a fare of the transportation in a region. The memory to hold one or more information. The multi-modal transportation integration module configured to combines data from the number of transport modes, allowing users to compare and select the suitable transportation for the journey. The user interface to receive one or more inputs and compared result to the user. The input receiving module to receive one or more inputs from the user based on the displayed one or more information. The route optimization module analyzes pre-specified journey points to present cost-efficient options for a preselected route.

The invention belongs to the technical field of intelligent text travel, and provides a digital intelligent text travel fusion ecological system construction method, which comprises the following steps of comprehensively carding various text travel resources in a region; behavior data of tourists and feedback information of the social platform are collected, and historical data are integrated; a cloud computing platform is used for large-scale data storage and management; carrying out tourist behavior analysis and trend prediction by applying a machine learning algorithm, analyzing tourist comments and feedbacks through a natural language processing technology, and extracting emotion and theme information; on the basis of tourist behavior analysis and prediction results, personalized recommendation is provided, and ticket prices are dynamically adjusted according to real-time data; constructing a virtual scenic spot and an intelligent guide service; according to the invention, the verbal travel industry fused with an ecological system is combined with a digital intelligence technology, so that the increasingly diversified requirements of modern tourists are met, personalized touring experience and a flexible price adjustment mechanism are provided, and the competitiveness of scenic spots is effectively improved.

Disclosed is a tagless payment management apparatus in which boarding and alighting are detected in a tagless manner by a user terminal carried by a passenger and a tagless device of a station, and travel route information is determined by extracting the location information of the passenger according to the movement of a transportation means by receiving base station information of a mobile carrier from the user terminal, thereby enabling accurate intermodal fare settlement based on an actual travel route of a passenger when settling the payment fare per operating agency of public transportation means capable of transfer.

The present subject matter relates to a system (100) and a method (400) for demand-based optimization of airline ticket pricing. The disclosed system (100) includes is a user interface (101) that facilitates the input of flight information, subsequently processed by an integrated memory (203) and processor (201). The machine learning-driven price optimization module (204) involves fetching price range and contextual information, extracting features, and further utilizing a classification model (205) for identifying demand cluster probabilities, and calculating a demand score. The system (100) further refines this demand score to account for market fluctuations. Notably, it employs advanced techniques like density-based clustering for demand segmentation and ML explainability through the Airline Experience Quotient (AEQ). This ensures transparency and enhances the user experience. Additionally, the system's capability extends to efficient model deployment, leveraging MLOps, and presenting the optimal ticket price to users for informed decision-making.

The invention relates to an intelligent electronic waybill generation and management system and method based on diversified ticketing, the system comprises a waybill system unit, a data acquisition unit, an inspection system unit, a payment system unit and the like, the data acquisition unit is connected with a management system to obtain electronic waybill basic data; the information generated by the driver screen, the passenger terminal and the like updates the waybill in real time; the management system maintains basic data such as lines, ticket prices and the like and associates and creates an electronic waybill; the inspection system checks the road bill information; the payment system ensures that the cash payment is consistent with the waybill record; through information input of transportation units, vehicles, drivers and the like, train number scheduling management and diversified payment of passengers, and in combination with inspection and payment, generation, management and archiving of electronic waybills are realized. Manpower, material resources and time cost are saved, statistical accuracy is improved, and digital upgrading of the passenger transport industry is promoted.

The application provides an airline route operation mode selection analysis method based on fuel price change, comprising: determining total profit of an airline operating a single route; based on profit maximization condition, analyzing influence of aircraft fuel price change on flight ticket price, fuel consumption, flight frequency, passenger load factor and flight seat number in the single route; based on profit maximization condition, analyzing differences between hub-and-spoke route network and point-to-point route network in fuel consumption, flight frequency and flight seat number; and determining influence of aircraft fuel price change on total profit of the airline operating HS route network or FC route network; the application is based on establishing a mathematical function expression about fuel price, can more intuitively carry out influence of fuel price change on airline service quality, aircraft design characteristics and route network structure, and provides a basis for airline decision-making.

To ensure that information used in the commuter pass fare processing can be carried over when switching to the commuter pass issuance processing.SOLUTION: A wicket processing machine according to an embodiment includes: an input information acquisition unit for acquiring input information; an input information determination unit for determining whether the input information has been read from a two-dimensional code; a fare retrieval control unit for retrieving a route from a departure station to a destination station and a commuter pass fare for the route based on the input information when it is determined that the input information has not been read from the two-dimensional code, and generating route information; a display control unit that displays the route information, detects pressing of a selection button corresponding to the route included in the displayed route information, displays pass issuance information containing the route and input information corresponding to the selection button, and detects pressing of a confirmation button included in the pass issuance information; and a pass issuance control unit that writes pass information to an IC card of a passenger in response to detection of pressing of the confirmation button.SELECTED DRAWING: Figure 2

The invention discloses a rail transit passenger cross-line dynamic ticket price determination method and device, and the method comprises the steps: obtaining desensitized real-time operation data, sent by a data source layer, of a rail transit system; analyzing the real-time operation data to obtain predicted passenger flow volume data of the rail transit system in a preset time period; and the predicted passenger flow volume data are encrypted and transmitted to a central service layer, so that the central service layer adjusts the ticket price of the rail transit system in the preset time period according to the predicted passenger flow volume data. According to the invention, the cross-line dynamic ticket prices of the rail transit passengers can be adjusted through the central service layer and the federated node layer in a combined manner, so that the credibility and safety of the finally adjusted ticket prices in the preset time period can be ensured.

The invention discloses a flight dynamic pricing method and system based on deep learning, and the method comprises the steps: carrying out the data preprocessing of the obtained flight information data of a single route, so as to obtain dynamic associated data; association feature extraction is carried out on the dynamic association data to obtain pricing association features, and the pricing association features comprise price features, time features, flight features, cost features and seasonal indexes; the pricing correlation features and current sales data are input into a pre-established and trained Transformer model, income prediction # imgabs0 # of a corresponding flight in a preset time period is completed, a price sensitivity index S is obtained, and the current sales data comprise the actual sales volume, the actual ticket price and the sales time point; and dynamic pricing of the corresponding flight is completed based on the income prediction # imgabs1 # price sensitivity index S of the flight and a preset pricing strategy. According to the method and the system, the flight price is dynamically adjusted according to the predicted income and the price sensitivity index, and the maximum income is realized.

The invention relates to aviation services, and provides an air ticket dynamic adjustment method, system and equipment, and the method comprises the steps: creating and issuing an electronic ticket and an electronic ticket strategy, and checking the created electronic ticket; inquiring to obtain passenger seat reservation record information, and inquiring a corresponding air ticket price standard according to the passenger seat reservation record information; matching the audited electronic coupons according to the passenger seat reservation record information and the corresponding air ticket price standard, and selecting the electronic coupons corresponding to the orders to calculate the direct reduction face price; order issuing and ticket issuing are carried out according to the direct reduction face price, and account checking is carried out according to the electronic coupon order information and the electronic coupon strategy. According to the method, a more flexible basis can be provided for air ticket price formulation of an airline company through various and accurate electronic coupons, marketing strategies of the airline company are enriched, the cost of agents and users is reduced, and ticket booking experience and satisfaction are improved.

This invention discloses a method, system, and electronic device for constructing an air ticket sales volume prediction model, relating to the field of aviation information technology. The method includes: acquiring historical sales information for each flight during a historical sales period; using the historical ticket price, the sales stage identifier, and the historical reference ticket price as input data, and the historical ticket sales volume as a label; using the cumulative parameter of ticket demand over time, the price elasticity coefficient, and the average ticket demand as model parameters to train an initial air ticket sales volume prediction model; and iteratively optimizing the model parameters using a basic particle swarm optimization algorithm until the number of iterations is not less than a preset number, thereby generating a target air ticket sales volume prediction model. This invention can improve work efficiency and reduce labor costs.

The invention provides a ticket issuing method and system for an air ticket order, electronic equipment and a program product, and the method comprises the steps: recording user information and an air ticket price when a postponed ticket issuing request is received, and locking a predetermined air ticket seat in response to the postponed ticket issuing request; in response to a ticket issuing request, comparing the price difference between the air ticket price when the ticket issuing request is requested and the air ticket price when the ticket issuing request is postponed; if the price difference is less than or equal to a price threshold, executing a ticket issuing process; and in response to the price difference being greater than a price threshold, executing a ticket issuing process after compensating the price difference. In the booking process, ticket issuing is delayed, the ticket issuing process is not executed temporarily after an order is submitted, and when a user wants to issue a ticket, application operation is supported for immediate ticket issuing, so that the defect that after immediate ticket issuing, the user can only change a sign and cancel the order before going out, and extra cost is generated is greatly reduced, and the user can conveniently and quickly issue the ticket due to the uncertain travel. And the operation step of changing the temporary travel increases the user experience.

A system and method in which a user application on a mobile device facilitates hands-free fare validation and gateless entry / exit at a transit facility like a transit station or a transit vehicle. The user application communicates with a Bluetooth gateway to authenticate the device and provides device-specific information for device identification and location determination. The user application also sends a secure token to the gateway to validate an electronic ticket stored in the device. A positioning unit uses the device-specific information to generate a timestamped location data for the device. A camera monitors the device user's movement and generates another timestamped location data for the device. A controller driver compares two timestamped location data to determine that the user of the device is approaching a gateless entry point and allows the user to avail a transit service through the gateless entry point when the electronic ticket is valid and active.