18 results about "Automated fare collection" patented technology

The invention discloses an automatic fare collection method and system based on multi-modal identity recognition, and relates to the technical field of rail transit automatic fare collection systems and multi-modal biological recognition fusion, and the method comprises the following steps: 1, enabling a user to approach a recognition area, carrying out the multi-modal data collection, and carrying out the quality detection and preprocessing; 2, feature extraction and credibility preliminary calculation are carried out; 3, environment data are collected and subjected to standardization processing; step 4, adaptively predicting a weight through machine learning, and constructing weight smoothing and time domain constraints; step 5, carrying out D-S evidence step-by-step fusion, and calculating comprehensive credibility; and step 6, comparing the comprehensive credibility with a preset threshold value, if the comprehensive credibility is greater than or equal to the preset threshold value, determining that the identification is successful and the gate is opened for passing, otherwise, determining that the credibility is insufficient, and performing alternative / manual processing. The system comprises a front-end identification terminal, a read-write industrial control all-in-one machine and a cloud management platform.

The invention relates to the technical field of rail transit intelligence, and discloses a rail transit intelligent scheduling management method and system, and the method comprises the steps: collecting the entering and exiting data of passengers, the number of people in a waiting area, the train load factor and the platform congestion degree through an automatic fare collection system, a video monitor and a sensor of each station of rail transit; the collected passenger flow data are preprocessed, a box plot about passenger flow distribution is constructed, and sudden passenger flow fluctuation areas are identified in different time windows; a K-means clustering algorithm is adopted to classify passenger flow modes in peak periods, and the distribution type of passenger flow fluctuation is analyzed; a time sequence prediction model is constructed by adopting a Transform model in combination with weather, holidays and festivals and emergencies, the future short-term and medium-and-long-term passenger flow trend is predicted, and the train departure interval is optimized; and based on the predicted passenger flow distribution, a scheduling optimization objective function is constructed, and a reinforcement learning algorithm is combined. The method has the advantage of improving the passenger flow prediction precision in the peak period.

The invention relates to the technical field of ticket selling and checking, and discloses an automatic ticket selling and checking system for an aerospace science popularization venue. The system comprises a venue time period capacity distribution module, a ticket selling candidate queue establishment module, a gate people flow prediction module and a gate entrance and exit direction scheduling module. Firstly, time period capacity allocation is performed according to a demand-capacity matching rule to obtain a tourist allocation data set; secondly, a ticketing elastic expansion mechanism is introduced to carry out stepped expansion on a tourist distribution data set, then tourist priority scores are calculated, and a ticketing candidate queue is established; fusing the time sequence and the spatial topology to establish a multi-modal space-time LSTM people flow prediction model, and outputting a gate people flow prediction value; and finally, determining the direction of the gate by using an improved whale optimization algorithm, and introducing a gate elastic strategy to dynamically adjust the entrance and exit direction of the gate so as to complete automatic ticket checking. According to the method, tourist data is processed and modeled, the purpose of automatic fare collection is achieved, and the method is objective and accurate.

This invention provides a method, system, computer equipment, and storage medium for predicting passenger flow at rail transit stations. The method extracts directed origin-destination (OD) pairs from the entry and exit records of an automated fare collection system using a fully directed network; determines the travel time for non-transfer and single-transfer journeys; determines the real-time location of passengers based on the OD pairs and travel time; determines the passenger flow at each station within a target time period based on the passengers' real-time locations; acquires and processes weather factors; constructs a CNN-BiLSTM-Attention passenger flow prediction model; and uses the passenger flow at each station within the target time period and weather factors as input variables to predict the passenger flow at each station using the CNN-BiLSTM-Attention passenger flow prediction model. This invention considers the influence of weather factors, time dependence, and spatial characteristics, enhancing the focus on key features and improving the accuracy of station passenger flow prediction.

A computer-implemented method for monitoring persons and associated objects on public transport, the method comprising the steps of: recording personal contact details of a person during boarding of a public transport, wherein the recording of the person's personal contact details is carried out by means of an automated fare collection system (S1); (...)

The application relates to the technical field of rail transit, and provides a multi-level rail transit fusion pricing method, device, equipment and medium, the method comprises the following steps: converting the pricing rules of each ticket system corresponding to multi-level rail transit modes into the same pricing dimension to obtain the pricing parameters of each ticket system; dividing at least one pricing section of each OD path in a rail transit network according to different ticket system types; for each OD path, determining the section ticket price of each pricing section and determining the OD ticket price of the OD path based on the pricing parameters of the ticket system corresponding to each pricing section and the section mileage information of the pricing section; generating a ticket price parameter file based on each OD ticket price; and each level of automatic fare collection system charges passengers according to the ticket price parameter file. The multi-level rail transit fusion pricing method provided by the application realizes barrier-free transfer and one-ticket access of multi-level rail transit, and significantly improves the overall operation efficiency of the rail transit network and the user travel experience.

This invention relates to the technical field of ticketing and inspection, and discloses an automatic ticketing and inspection system for aerospace science popularization venues. The system includes a venue time slot capacity allocation module, a ticket waiting list establishment module, a gate passenger flow prediction module, and a gate entrance / exit direction scheduling module. First, time slot capacity is allocated according to demand-capacity matching rules to obtain a set of visitor allocation data. Second, a ticketing elastic scaling mechanism is introduced to expand the visitor allocation data set in stages, and then visitor priority scores are calculated to establish a ticket waiting list. Next, a multimodal spatiotemporal LSTM passenger flow prediction model is established by fusing time series and spatial topology to output gate passenger flow prediction values. Finally, an improved beluga optimization algorithm is used to determine the gate direction, and a gate elastic strategy is introduced to dynamically adjust the gate entrance / exit direction to complete automatic ticketing. This invention achieves the purpose of automatic ticketing and inspection by processing and modeling visitor data, and the method is objective and accurate.

The application discloses a chip-driven token ticket recycling electromechanical integrated control method, and belongs to the technical field of automatic ticket selling and checking equipment control. The method comprises the following steps: acquiring infrared photoelectric sensor data, pressure microswitch data, Hall sensor data and motor current data collected by a motor current detection circuit and performing time sequence analysis and current ripple feature extraction; generating ticket movement trajectory and mechanical component health state; determining a control mode; adjusting PWM duty cycle in combination with a mapping relationship for torque conversion; generating a motor control signal to drive the motor; and executing a ticket recycling operation. The application adopts the means of fusing multi-source sensing data to generate ticket movement trajectory and mechanical component health state, and dynamically determines the control mode and adjusts the motor output torque based on the same, so that the adaptive ability, control precision and long-term operation reliability of the ticket recycling operation can be improved.

The present invention provides a method and system for identifying the spatiotemporal trajectory of subway passengers based on pedestrian re-identification. The method comprises the following steps: matching card swipe data from an automatic ticket vending and checking system, associating the card swipe data with surveillance video and image position to achieve binding between multiple categories of information; collecting a sample feature library of pedestrians from surveillance videos of each card number passing through entry and exit gates; searching for K travel paths along the entry-exit route; obtaining a valid set of alternative paths; calculating the earliest and latest times a passenger appears at each surveillance point; comparing the complete path set of each alternative path in the previous step to obtain a filtered set of comparison paths and a set of surveillance video nodes; calculating a minimum set selection scheme for surveillance nodes that meets preset requirements; and determining the path containing the surveillance node with the greatest feature similarity as the passenger's actual travel path. The method and system can efficiently achieve accurate passenger flow allocation results.

The invention provides a dynamic graph federal learning method for cross-line network urban rail passenger flow prediction, which comprises the following steps: preprocessing local automatic fare collection data of a client to obtain a local signal graph, and constructing and compressing an urban rail passenger flow dynamic space association graph of the client; local passenger flow mode space features of the urban rail passenger flow dynamic space association diagrams of all the clients are extracted and uploaded to a server for aggregation, so that a global urban rail network passenger flow dynamic space-time diagram is constructed, local model parameters of the clients are trained and optimized, and the local model parameters are uploaded to the server for aggregation; and according to an aggregation result of the local model parameters, the client updates the local model parameters and completes training of a local time sequence prediction model, so that the urban rail line network passenger flow is predicted, through a federated learning framework, AFC data leakage risks are avoided, cross-line global information is fully utilized, the passenger flow prediction accuracy is improved, cross-line communication overhead is greatly reduced, and the urban rail line network passenger flow prediction efficiency is improved. The real-time prediction efficiency is improved, and a reliable basis is provided for global urban rail network operation and train shift scheduling.

The invention provides a state fusion evaluation system and method for automatic fare collection equipment of a rail transit network. The evaluation system comprises a data storage module, an evaluation management module, an authority configuration module, a data acquisition module and a state evaluation module. And the data storage module stores automatic fare collection equipment information and evaluation personnel information. And the evaluation management module creates and allocates evaluation tasks for evaluators based on the automatic fare collection equipment information. And the authority configuration module configures the work authority of the evaluator according to the evaluator information and the allocated evaluation task. The data acquisition module acquires state information and historical operation and maintenance information of the automatic fare collection equipment. The state evaluation module evaluates the state of the automatic fare collection equipment according to the collected state information and historical operation and maintenance information of the automatic fare collection equipment and based on a preset evaluation standard, and generates an evaluation result and / or a subsequent operation and maintenance strategy. According to the invention, a unified equipment evaluation standard can be established, and unified management of the whole network equipment state is realized.

The invention discloses a subway Y-type line working diagram compilation optimization method based on a virtual marshalling technology. The method comprises the following steps: establishing a train working diagram compilation model; taking the historical passenger flow data as the input of a train working diagram compiling model, obtaining an optimal solution through a genetic algorithm, and further obtaining basic parameters required by diagram compiling; generating an original train working diagram; utilizing a pre-trained passenger flow prediction model to predict OD passenger flow and section passenger flow on a line in a future time window according to the pull-in data in the automatic fare collection system; the prediction result serves as input of a train working diagram compiling model, and then basic parameters needed by new diagram compiling are obtained; and dynamically adjusting on the original train working diagram according to the basic parameters required by the new mapping to obtain a new train working diagram. According to the method, the passenger flow direction can be predicted in combination with the real-time pull-in data, the train working diagram is dynamically adjusted under the condition of the lowest cost, and the efficiency of a public transport system and the passenger experience are remarkably improved.

The invention discloses a chip-driven token type ticket card recycling electromechanical integrated control method, and belongs to the technical field of automatic fare collection equipment control. The method comprises the steps that infrared photoelectric sensor data, pressure microswitch data and Hall sensor data which are arranged on a ticket card transmission path and motor current data collected by a motor current detection circuit are obtained, time sequence analysis and current ripple feature extraction are carried out, a ticket card movement track and the health state of a mechanical part are generated, and a control mode is determined; and the PWM duty ratio is adjusted in combination with the mapping relation used for torque conversion, a motor control signal is generated to drive a motor, and ticket card recovery operation is executed. According to the invention, multi-source sensing data are fused to generate the ticket card motion trail and the health state of the mechanical part, and based on the means of dynamically determining the control mode and adjusting the output torque of the motor, the self-adaptive capability, the control precision and the long-term operation reliability of the ticket card recovery operation can be improved.

The utility model discloses a safety isolation protection device of an automatic fare collection system, which relates to the field of safety protection equipment and comprises a gate body, the gate body is provided with a rotating rod, and the rotating rod is provided with a door wing and a first driven gear; the transmission part comprises a second driven gear and can adjust the second driven gear to be located at the initial position or the working position. The output end of the driving part is connected with the driving gear, and when the second driven gear is in the working position, the second driven gear is correspondingly meshed with the first driven gear and the driving gear; or when the second driven gear is at the initial position, the second driven gear is disengaged from the first driven gear and the driving gear; and the rebounding piece is arranged at the lower end of the rotating rod, and when the second driven gear is at the initial position, the rebounding piece can enable the rotating rod to rotate. According to the safety isolation protection device of the automatic fare collection system, the technical problem that the gate cannot be automatically opened when the gate is powered off is solved, and the technical effect of the function of automatically opening the gate when the power is off is achieved.

A reader-writer system of an AFC (automatic fare collection) system for a subway with a length exceeding a platform comprises a station waiting compartment which is connected with the front part and the rear part of an in-station compartment in a bidirectional or unidirectional manner, and the station waiting compartment is connected between the in-station compartment and an out-station compartment; a door or a wall is arranged between the station waiting compartment and the station inner compartment, the station waiting compartment is located on the inner side of the long end boundary of the platform when stopping, the station outer compartment stops on the outer side of the platform, and a reader-writer is arranged between the station entering ticket checker and the station exiting ticket checker. Therefore, the ticket can be divided into at least two riding sections.

The invention provides a rail transit automatic fare collection standardized software system, which is applied to an automatic fare collection system of urban rail transit, and is characterized in that the standardized software system and station terminal equipment are connected with a station computer system, and the standardized software system comprises an application layer, a business layer, a data layer, an interface layer, a communication layer and an equipment layer, the application layer is a user-oriented layer of an AGM, a BOM, an SC and a reader-writer and realizes an overall function, the service layer realizes specific service logic of a software function, the data layer processes and stores service data, the interface layer performs interface calling and parameter and message assembly on an external system and an internal module, the communication layer realizes link management and data receiving and transmitting of bottom layer communication, and the service layer performs service data processing and storage on the external system and the internal module. And the equipment layer encapsulates a driving interface of hardware equipment for an upper layer to control and call. According to the invention, the system architecture is simplified, the software structure is optimized, the application service logic is unified, different software and hardware interfaces are adapted, and the super-large-scale network operation capability is realized.

Based on deep reinforcement learning, the urban rail passenger flow and train coordination organization optimization method is proposed. Firstly, based on the AFC data of urban rail transit, the passenger arrival law and travel chain are analyzed, and the OD matrix of urban rail transit network is generated by using the diffusion model. Secondly, a simulation model reflecting the train operation and passenger flow state is constructed to provide a verification environment for the optimization process. For train operation scheme and passenger flow scheduling, a DQN model is designed and trained and learned by using the simulation model. This method can reasonably match passenger demand and transport resources, effectively shorten passenger waiting time, and reduce train operating costs.