2388results about "Ticket-issuing apparatus" patented technology

The invention provides a toll vehicle type identification method and system based on expressway passing images, and the method comprises the steps: obtaining an image set of passing vehicles, carrying out the multi-scale brightness compensation processing of a vehicle side contour image, generating a side feature enhancement image, carrying out the contour sharpening processing of a vehicle top contour image, and obtaining a vehicle top contour image; and generating a top feature enhanced image. And performing dual-channel feature fusion on the side feature enhanced image and the top feature enhanced image, generating a vehicle multi-dimensional fusion feature map, inputting the vehicle multi-dimensional fusion feature map into a pre-trained vehicle type matching model, and obtaining a vehicle type feature matching result output by the vehicle type matching model. And performing similarity comparison according to a vehicle model feature matching result and a pre-stored vehicle model feature library, determining a charging vehicle model category corresponding to the passing vehicle, and generating a vehicle model identification mark. According to the method, the robustness of vehicle type recognition in a complex illumination environment can be improved, and meanwhile, the accuracy of vehicle type classification and the charging and passing efficiency are improved by fusing dual-view feature enhancement and a multi-dimensional feature matching mechanism.

The invention provides an intelligent parking lot charge management and parking space resource intelligent allocation optimization method, and relates to the technical field of intelligent parking lots, and the method comprises the steps: obtaining the real-time occupation state data of parking spaces in a parking lot, carrying out the time window division and sequence similarity analysis through time sequence data mining, and calculating the real-time parking space pressure value of each region; when the pressure value of the first region exceeds a threshold value, selecting a second region for integration based on a prediction result and a region stability integration degree, and forming a dynamic management region; and calculating a real-time rate by adopting deep reinforcement learning, determining a core influence area according to the parking request, and distributing a target parking space based on neighborhood density characteristics. According to the invention, the utilization rate of parking lot resources is improved, and intelligent parking space allocation and dynamic pricing are realized.

The invention relates to the technical field of edge computing, in particular to an intelligent parking unattended vehicle access management system and method based on edge computing. The method comprises the following steps: a vehicle detection positioning unit obtains multi-modal data based on a multi-modal sensor array module, and realizes real-time positioning of a vehicle and real-time updating of a parking space state through a Kalman filtering algorithm in combination with a QBCN information interference variable; the license plate recognition unit completes license plate feature extraction and recognition on the basis of a multispectral imaging technology and a lightweight CRNN model under the condition of abnormal illumination. The edge calculation decision unit combines a real-time rule engine and a space-time anomaly detection algorithm, optimizes a resource allocation strategy, and realizes low-delay decision and localization control; the payment authentication unit adopts a block chain intelligent contract, dynamic rate calculation, multi-factor identity authentication and abnormal payment fusing protection; and the edge cloud collaboration unit realizes model differential updating, cross-domain task scheduling and energy efficiency optimization through federated learning and space-time data compression technologies.

The invention relates to the technical field of charging parking space guiding control, and particularly discloses a parking space charging reservation and intelligent guiding method, device, equipment and medium, and the method comprises the steps: obtaining vehicle battery state data and a user reservation time window through an Internet of Things terminal; synchronously acquiring charging pile state data, real-time traffic flow data and power grid load information in the parking lot; fusing the obtained multi-source heterogeneous data based on a federated learning framework, constructing a dynamic charging demand prediction model, and predicting charging pile occupancy rate distribution in a preset time period by using a space-time diagram convolutional network; through the combination of the dynamic charging demand prediction model and the space-time diagram convolutional network, the occupancy rate distribution of the charging piles is accurately predicted, the scheduling strategy of the charging piles is adjusted in real time, the problem of unreasonable resource allocation is avoided, and the waiting time of a user is shortened; the application of the quantum genetic algorithm optimizes the matching process of the charging pile through global optimal solution search, thereby ensuring the balance of the power grid load and the rationality of the charging strategy.

The invention belongs to the technical field of intelligent traffic, and provides a highway cloud toll collection system high availability implementation method, and the method comprises the steps: deploying a station-level transaction system on each cloud service node, and avoiding the situation that the station-level transaction system cannot be used due to the crash of a single node; the degradation standby server is accessed to a toll square network and is arranged in the same switch with the toll lane electromechanical equipment, so that the situation that the station-level transaction system cannot be accessed and the electromechanical equipment cannot be controlled due to the toll station level network fault is avoided; through lane task load balancing, loading is carried out by taking a lane as a unit, and efficient utilization of node resources is realized while normal transaction of services is guaranteed; through cloud charging process monitoring, network state monitoring and cloud service node state monitoring, whether a node has a fault is compositely judged, and accurate identification of the fault is achieved; dynamic allocation of the lane bearing task is realized through automatic fault switching, and the function of quickly switching the lane bearing task from a fault node to a normal node is realized.

The invention discloses an elastic resource allocation and barrier gate linkage control system and method for mixed traffic of parking lots, a medium and equipment, and the system comprises a vehicle type recognition module, a dynamic resource allocation module, a cooperative control decision module, an emergency channel management module and a multi-mode communication module. According to the parking lot mixed traffic management system integrating vehicle-road cooperative communication, double-layer game optimization and elastic resource pool division, an independent resource pool and a dynamic quota adjustment mechanism of automatic driving vehicles and manual driving vehicles are constructed, and a charging pile-barrier gate cooperative optimization unit and a multi-stage emergency response protocol are combined; the global optimization of parking lot resource allocation and traffic control is realized, and the problems of prominent resource competition contradiction, separation of barrier gate control and resource allocation, insufficient intelligence of an emergency response mechanism and short delay of multi-mode communication and decision cooperation in a mixed traffic scene are solved.

The invention discloses a new energy automobile charging pile parking space occupation detection and billing linkage control method, and relates to the technical field of urban public resource optimization distribution and new energy automobile charging pile parking space management. Comprising the steps of multi-source sensing and state fusion: sensing real-time occupation states, vehicle types and charging behavior states of all parking spaces in real time by using a parking space detector, an ALPR visual sensor, a Hall sensor and a charging pile state communication protocol, collecting original data, deploying edge nodes at the parking spaces, and fusing the original data in real time, outputting a unified parking space state object after fusion; original data are collected in real time through the parking space detector, the ALPR visual sensor, the Hall sensor and the charging pile state communication protocol, and through multi-dimensional behavior analysis of the parking space state, the abnormal behaviors that a fuel truck occupies a space for a long time, an electric vehicle occupies the space and is not charged, and the electric vehicle is detained after being charged can be accurately recognized; and an accurate basis is provided for subsequent charging processing and precise management.

The invention is suitable for the technical field of toll station management, and provides an expressway toll station remote seat guarding and special situation vehicle handling system, which comprises a front-end sensing layer, a rear-end sensing layer and a control layer, the lane equipment comprises a photoelectric sensor, an infrared height limit alarm, a license plate recognition camera, an ETC antenna, an acousto-optic warning ball and a self-service equipment sensor; the network transmission layer is connected with lane equipment, a sentry box cabinet, a machine room core switch and a monitoring center through an optical fiber network; the remote control layer is composed of a remote seat center, and the remote seat center can carry out video monitoring, visual intercom and remote control; and the abnormity alarm layer is used for carrying out early warning on vehicle detention, vehicle height exceeding, ETC passing faults, toll evasion vehicles and handrail abnormity. The vehicle state can be sensed in real time, data are gathered to a remote seat center through a network transmission layer, an information island is broken, and special conditions can be automatically processed.

The present invention discloses an in-road berth evidence-taking system for unmanned aerial vehicles and a method thereof, belonging to the technical field of parking charging. The system includes a plurality of berths arranged on the roadside; a lamp post is provided near the berth, and a flight evidence-taking device is further provided on the lamp post. The flight evidence-taking device includes an unmanned aerial vehicle and an apron. When a parked vehicle parks in the berth, the unmanned aerial vehicle approaches the parked vehicle and orbits around the parked vehicle as the center; the imaging module takes panoramic evidence-taking photos of the parked vehicle. The unmanned aerial vehicle is connected to a liftable and hidden male pole on the apron through a female pole for power taking, energy supply and data transmission, so as to realize rapid charging, effectively extend the endurance time of the unmanned aerial vehicle, and solve the problem of insufficient endurance. The unmanned aerial vehicle is equipped with an imaging module, which can orbit around and photograph the parked vehicle to obtain panoramic evidence-taking photos, associate the berth, the parked vehicle and the surrounding environment, and improve the accuracy and reliability of evidence-taking.

The invention discloses an expressway toll collection robot system, relates to the technical field of expressway toll collection, and constructs a full-process automatic expressway toll collection robot system through collaborative design of a toll collection control module and a special situation scheduling module. The charging control module integrates various types of hardware, realizes automatic identification of vehicle information, fee calculation and passage control, replaces manual work to complete a standardized charging process, and remarkably reduces manual operation errors and time consumption. The special situation scheduling module is used for quickly positioning the type of a special situation through object association relationship analysis for an abnormal state in a charging process, and scheduling staff to intervene; different from a traditional post response mode, the module predicts the severity level of a special situation based on flow characteristics, equipment states and environment characteristics by training a special situation prediction model and configures the number of workers in advance, so that lane congestion can be effectively avoided, and the overall traffic efficiency is improved.

The invention relates to an expressway toll station management system, which is applied to the technical field of expressway toll station management, and the method comprises a vehicle detection module which is used for detecting vehicle information, and the vehicle information comprises traffic flow information and vehicle identity information; the vehicle guiding module is used for guiding the vehicle to enter a target lane based on the vehicle identity information; the vehicle weighing module is used for weighing vehicles entering and exiting the toll station; the vehicle charging module is used for charging the vehicle according to a preset rule and the vehicle identity information; the lane management and control module is used for controlling opening and closing of a lane based on the traffic flow information; and the manual allocation module is used for allocating workers based on the traffic flow information. The method has the effect of improving the management efficiency of the highway toll station.

Aspects of the disclosed technology relate to a system and methods for optimizing traffic flow along a roadway. The systems receive, from a connected-automated vehicle (CAV), a request for a travel time along a roadway having a managed lane and a general purpose lane. The system determines real-time traffic data, and using a trained machine learning model, predicts future traffic data along the roadway, determines a time saved by using the managed lane, communicates with the CAV, receives an acknowledgement that the vehicle will use the managed lane, and updates the predicted traffic data. Segment agents may be responsible for discrete segments of the roadway and may communicate with a coordination agent to result in a multi-agent reinforced traffic machine learning system. The system provides a mobility service to CAVs by implementing a reinforcement learning process to understand CAV behavior to optimize and maintain the service level along a roadway.

The invention relates to the technical field of ETC special situation processing, in particular to an efficient ETC special situation processing system and a working method thereof, and the system comprises a special situation monitoring module which monitors the ETC lane transaction state in real time and obtains ETC lane special situation information; the special situation scene diagnosis module is used for carrying out special situation scene diagnosis analysis on the ETC lane special situation information to obtain special situation type information; the processing scheme matching module is used for substituting the special situation type information into a pre-constructed special situation processing scheme library for comparison to obtain a special situation processing scheme; the multi-modal guide execution module is used for guiding the user to complete special condition processing operation through visual and auditory dual channels based on the obtained special condition processing scheme, and obtaining a special condition processing result; the processing result verification module is used for verifying the special condition processing result in real time, and recording the special condition processing result in response to the fact that the special condition processing result is not abnormal; the parking time of vehicles at the toll station can be shortened, traffic jam is relieved, and the overall passing efficiency of the expressway is improved.

The invention relates to the technical field of intelligent traffic, in particular to a toll vehicle type detection method and system based on fusion of a laser radar and a gate camera, and the method comprises the steps: scanning a vehicle entering a toll station through the laser radar, and obtaining the three-dimensional point cloud data of the vehicle; performing feature extraction on the three-dimensional point cloud data to obtain vehicle size information; acquiring two-dimensional image data of a vehicle entering a toll station through a bayonet camera, and identifying the type of the vehicle to obtain vehicle type information; comparing and matching the vehicle size information and the vehicle type information, and analyzing the vehicle size information and the vehicle type information through a multi-modal fusion algorithm to obtain complete vehicle information; and based on the vehicle complete information, calculating the receivable fee of the vehicle according to the vehicle type charging rule. According to the invention, the vehicle identification precision in a complex traffic environment is effectively improved, the dual verification of the vehicle type is realized, false detection and missing detection are effectively reduced, and the overall reliability of a toll collection system is enhanced.

The invention provides an electronic toll collection method based on multi-dimensional data, and the method comprises the steps: enabling a roadside sensing unit to collect a vehicle image after an induction coil senses that a vehicle enters an electronic toll collection region, enabling an edge calculation unit to recognize the vehicle image, obtaining the information of a license plate, carrying out the credibility calculation of the information of the license plate, and carrying out the calculation of the credibility. If the credibility of the license plate information is greater than or equal to a preset credibility threshold value, the license plate information is uploaded to a server for online fee deduction, and if the credibility of the license plate information is smaller than the preset credibility threshold value, a roadside sensing unit collects multi-dimensional original data of the vehicle, and an edge calculation unit extracts multi-dimensional features of the vehicle from the multi-dimensional original data of the vehicle; and the server performs online fee deduction in combination with the license plate information and the multi-dimensional characteristics of the vehicle, and the method achieves automatic collection of the toll, improves the passing efficiency of the expressway, reduces the human input, can avoid the situation of wrong fee deduction, and has a wide application prospect.

The invention discloses a subway track automatic ticket checking method and an automatic ticket checking device thereof. The method specifically comprises the following steps: S1, feature acquisition; s2, performing feature fusion; s3, performing anomaly detection; the invention relates to the technical field of subway track automatic ticket checking. According to the subway track automatic ticket checking method and the automatic ticket checking device thereof, through cooperation of palm vein and gait recognition and a non-contact collection mode, the safety of a ticket checking system is improved, the false recognition rate is reduced, meanwhile, the accuracy of abnormal behavior detection is effectively improved, the self-learning ability is provided through a reinforcement learning algorithm, and the accuracy of ticket checking is improved. The ticket checking strategy can be automatically adjusted according to the real-time passenger flow and the operation state, optimal configuration multi-mode identification of resources is achieved, efficiency and safety are balanced, the crowding degree in the peak period can be reduced, and high-satisfaction travel experience is provided for passengers.

The invention discloses an expressway fee evasion inspection method and system. The method comprises the following steps: obtaining vehicle information, driving information and fee information of a vehicle; matching and screening the vehicle information, the driving information and the cost information to obtain unmatched information; and re-matching and analyzing the unmatched information to obtain a vehicle with a problem. According to the method, screening and matching analysis are performed through the vehicle information, the driving information and the cost information, automatic preliminary judgment can be performed through the obtained recorded information, the manual processing cost is reduced, the processing efficiency is improved, and further processing efficiency and results can be obtained.

The invention provides a multi-factor dynamic parking charging method and system, electronic equipment and a storage medium, and belongs to the technical field of parking charging, and the method comprises the steps: determining a dynamic unit price corresponding to each charging period of a target vehicle based on a charging unit price corresponding to a parking lot and a charging coefficient corresponding to each charging period of the target vehicle; the billing cycle is obtained based on division of a parking time period of the target vehicle in the parking lot, and the parking time period comprises a charging time period and / or a parking time period; determining the parking fee of the target vehicle in the parking lot based on the dynamic unit price corresponding to each charging period of the target vehicle and the duration of each charging period; the charging coefficient is determined based on the influence coefficient values of a plurality of influence factors in each charging period, and the influence factors are factors influencing the parking fee of the parking lot. According to the multi-factor dynamic parking charging method and system, the electronic equipment and the storage medium provided by the invention, the use efficiency of the parking lot of the charging station can be improved, and the user experience is enhanced.

The invention relates to the technical field of parking lot management, in particular to a parking lot intelligent management system, which comprises a data acquisition module, a data processing module, a database module, a user interaction module and a management module, the data processing module processes and analyzes the collected data by using a deep learning algorithm, transmits the processed and analyzed data, vehicle basic information and various log data generated in a system operation process to the database module for storage, and provides an interaction interface for a user through the user interaction module. The management module is used for parking lot management personnel to manage parking lot operation; the problems that an existing parking lot management system is low in efficiency, poor in accuracy, high in management cost, incapable of achieving intelligent management and the like are solved.

The invention relates to the technical field of intelligent parking management, and discloses a curb parking dynamic charging and fee evasion prevention and control method based on multi-dimensional data fusion, which comprises the following steps: a data fusion reconstruction step: receiving a video stream, sensing a parking space state and reporting data through mobile inspection, performing fusion processing through space-time alignment and a confidence decision algorithm, and obtaining a data fusion result; outputting a standard parking event sequence; a dynamic charging decision-making step of matching a charging strategy model including time-phased elastic rate parameters according to the time-space attribute of the event sequence, calculating the cost and verifying the parking rights and interests in real time, and generating a parking order; and a fee evasion risk real-time prevention and control step: constructing a vehicle behavior portrait feature vector based on the event sequence and the historical order, obtaining a real-time risk level through a pre-trained risk grading model, and triggering a cascade response disposal action according to the real-time risk level, including exit interception and recovery of a high-risk vehicle. According to the invention, the charging accuracy is improved, and the rate dynamic adjustment and the active and accurate prevention and control of the fee evasion behavior are realized.

The invention discloses an unmanned aerial vehicle video stream evidence obtaining system and method, and belongs to the technical field of parking charging, and the system comprises a parking apron, an unmanned aerial vehicle and a background server. According to the invention, multi-machine relay cruise is adopted, the unmanned aerial vehicle flies at a constant speed along an annular inspection path, and a power system only needs to maintain constant thrust to offset air resistance, so that the instantaneous power peak value is obviously reduced, the energy consumption is effectively optimized, and the service life of a battery is prolonged; and meanwhile, a natural redundant architecture is formed through multi-machine relay. When a certain unmanned aerial vehicle exits a task due to a fault or low electric quantity, the adjacent unmanned aerial vehicle can dynamically expand the inspection range to fill a blind area, and the robustness of the system is remarkably improved. And finally, when a plurality of unmanned aerial vehicles fly along the annular inspection path, setting a phase angle of 90 degrees between part of adjacent unmanned aerial vehicles, realizing multi-angle synchronous shooting of the same parking space through phase difference control, generating a three-dimensional evidence chain, solving the problem that traditional single-view-angle shooting is easy to block, and improving the reliability of evidence obtaining photos.

The invention discloses an urban rail transit automatic fare collection virtual transfer method and system, and the method comprises the steps: judging whether the station is a virtual transfer station or not according to the information obtained from an entrance gate, if yes, judging whether the last departure station and the current entry station are the same operation day or not, if yes, continuing to judge whether the last departure station is an associated virtual transfer station or not, and if not, continuing to judge whether the last departure station is an associated virtual transfer station; if yes, judging whether the distance from last outbound is within a preset transfer duration, and if yes, retaining a newly added transaction field about transfer; judging whether a virtual transfer station is available according to the information acquired from the exit gate, if so, judging whether the exit of this time and the entrance of the last time are the same operation date, if so, continuing to judge whether a continuous transfer condition is met, and if so, charging according to a billing rule and emptying a newly added transaction field about transfer according to a preset rule; and if the continuous transfer condition is not met, normally charging and filling in a newly added transaction field according to a preset rule. According to the invention, the transfer efficiency of the urban rail transit can be improved and enhanced.

The invention discloses a configuration-based charging plaza rapid receiving and management method and system, and belongs to the technical field of traffic. The system comprises a lane intelligent unit, a station-level intelligent unit and a management platform, the lane intelligent unit has the basic information processing capability; the management platform comprises a digital twinborn model of the lane terminal, a lane model, a management directory, a lane basic information configuration control, a lane transaction flow configuration control combination and a configuration visual configuration interface. And through visual operation, the digital twin model of the lane terminal is combined with the lane basic information configuration control and the lane transaction flow configuration control to generate a lane model, the lane model is combined into a square model, the square model is issued to the lane intelligent unit through the station-level intelligent unit in a one-key manner, and a physical lane is reconstructed. According to the invention, rapid adaptation of the toll plaza to different toll modes is realized, the management cycle is shortened to an hour / minute level, and the operation and maintenance cost is significantly reduced.

The invention discloses a vehicle toll evasion judgment method and a storage medium, and the method comprises the steps: recognizing the passing behavior of a target vehicle when the target vehicle runs to a preset region, so as to obtain the vehicle toll evasion confidence of the target vehicle; and sending the vehicle fee evasion confidence of the target vehicle to an arrearage recovery system, so as to judge whether the target vehicle has a fee evasion behavior or not through the arrearage recovery system. According to the embodiment of the invention, a plurality of devices are combined to identify the vehicle fee evasion event and generate the confidence coefficient of fee evasion, so that the arrearage recovery system can judge the reliability of vehicle fee evasion according to the confidence coefficient, and then determine whether the vehicle has a fee evasion behavior or not, thereby improving the recognition capability of a parking lot for the vehicle fee evasion behavior, improving the accuracy of vehicle fee evasion monitoring, and improving the user experience. Parking lot loss is reduced, customer complaints caused by misjudgment are reduced, and user experience is improved.

Various implementations directed to price time priority queue routing for time interval object capacity units are provided. The method may also include generating data packet routes based on the origin location data and the destination location data. The method may further include determining virtual hubs along the data packet routes, where the virtual hubs include a first virtual hub based on the origin location data and a second virtual hub based on the destination location data. The method may additionally include receiving travel cost data for the routes for geolocation time interval object exchange units. In addition, the method may include receiving market depth data for a geolocation exchange for the geolocation exchange units based on the data packet routes. The method may also include selecting an optimized route of the routes for the geolocation exchange units based on an objective function.

The invention provides a lane toll collection system, which relates to the technical field of traffic toll collection and comprises a global sensing layer, an edge intelligent layer, a cloud intelligent layer and a lane execution layer. The global sensing layer collects data based on the lane execution layer through a multi-modal sensing matrix, and uploads the data to the edge intelligent layer after the data is preprocessed by an edge computing node; the edge intelligent layer completes vehicle identification and rate calculation based on a distributed AI engine, and issues a decision instruction to the lane execution layer; wherein the cloud intelligent layer provides global data storage, model training and cross-domain cooperation functions, and communicates with the edge intelligent layer in real time through a 5G / optical fiber network; the multi-modal sensing matrix collects data based on the lane execution layer, the data are preprocessed by the edge computing node and then uploaded to the edge intelligent layer, the edge intelligent layer completes vehicle identification and rate calculation and issues a decision instruction to the lane execution layer, the architecture realizes rapid processing and efficient decision of the data, and the overall efficiency of the toll collection system is improved.

An operation system of a working machine mounted on the working machine, including a first control device to control the working machine, and a first command device to output a command to the first control device wirelessly, the command relating to control of the first control device. The first command device includes a first obtaining part to obtain an expiration date of the working machine from outside, a first time calculating part to obtain time, a third processing part to judge whether the time obtained by the first time calculating part meets the expiration date, and a sixth communication part to output a first command when the time meets the expiration date, the first command restricting control of the first control device, and to output a second command when the time does not meet the expiration date, the second command allowing the first control device to be controlled without restriction.

The invention relates to the technical field of Internet of Things, in particular to a parking space lock Internet of Things system for parking timing charging, which comprises an environment sensing module, a dynamic decision module and a parking lock linkage control module, a multi-dimensional environment feature vector is generated through cross-modal fusion, and the data credibility is verified through space-time relevance; the dynamic decision-making module predicts a basic rate floating interval by using a long-short-term memory network time sequence model based on credible data input, dynamically adjusts the model weight in combination with the accumulated occupation duration of the facility and generates an abnormal level mark; when the abnormal level exceeds a threshold value and the occupied time exceeds an allowable maximum value, the ground lock linkage control module triggers a dual-channel forced lifting ground lock; through multi-source data collaborative verification, dynamic rate optimization and a multi-level risk determination mechanism, accurate adaptation of parking rates, rapid response to abnormal occupation and efficient regulation and control of parking space resources are realized.

The invention provides an expressway lane dynamic optimization management method, system and device and a medium, and belongs to the technical field of intelligent traffic management. The method comprises the following steps: firstly, collecting traffic flow, environment and vehicle credit data through high-speed key node multi-source sensing equipment and a data center, and fusing to generate a time-space fusion data set; inputting the data into a space-time diagram convolution network model, dynamically mapping a road topology into a variable weight directed graph, and generating future lane-level traffic flow, vehicle speed and occupancy rate prediction data through convolution operation; inputting the prediction data into a hierarchical reinforcement learning model, generating a single-vehicle differential management and control instruction in combination with vehicle credit data, and determining an optimal strategy through digital twinborn simulation; then, a modularized lane controller is used for executing a strategy and collecting feedback data; and finally, inputting feedback data into a causal inference engine to analyze the effect, optimizing the reinforcement learning model, and dynamically updating credit data according to vehicle behavior data.