1092results about "Ticket-issuing apparatus" patented technology

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 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 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 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.

The invention relates to the technical field of intelligent traffic systems, in particular to a highway network global traffic flow prediction method, device and equipment, and the method comprises the steps: constructing an initial feature sequence based on the multi-source data of an ETC portal system; inputting the data into a multi-head attention model driven by a query mechanism, and outputting a spatial dependency relationship between ETC door frame nodes; inputting the spatial dependency relationship into an extraction fusion model fusing a causal convolutional network and a selective state space network, extracting short-term time sequence features through the causal convolutional network, modeling long-term time sequence features through the selective state space network, and fusing the long-term time sequence features into fused time sequence features; and a global traffic flow prediction result is generated based on the fusion time sequence features, so that the problems of high traffic flow prediction cost, data coverage missing and the like in related technologies are solved.

The invention discloses a smart parking lot based on image recognition and a parking method thereof. The smart parking lot comprises an entrance gate module, an exit gate module, an image acquisition module, a control module, an automatic vehicle moving module, a communication module and a storage module. The image acquisition module is arranged in the parking lot and is used for performing image acquisition on each parking space; the control module is used for detecting whether an idle parking space exists in the parking lot according to the parking record and the image acquired by the image acquisition module and judging whether the to-be-parked vehicle has a private parking space in the parking lot according to the license plate number acquired by the entrance gate module; according to the idle parking space detection result and the private parking space judgment result, different instructions are sent according to a parking strategy; the system is also used for generating parking charging information according to the entrance time and the departure time and generating vehicle owner identity verification information according to the license plate number. Intelligent integrated parking and car taking are achieved, and the defects of an existing traditional parking lot are overcome.

The invention relates to the technical field of charge management, in particular to a charge management system based on an integrated smart barrier machine, which comprises a sensor module, a video acquisition module, a data processing module, a charge management module, a maintenance scheduling module, an edge computing node, a cloud service platform and a block chain evidence storage unit, the basic fault acquisition module monitors a handrail driving fault; the system monitors the railing state and the driving fault in real time through multiple sensors, and accurately recognizes abnormity in combination with an improved algorithm; the video module obtains a high-quality video stream for traceability and feature extraction; the charging management module recognizes fee evasion through a space-time association algorithm and calculates fee supplementation; the maintenance scheduling module generates an optimal maintenance path; edge computing and the cloud platform cooperatively process data, and the block chain guarantees data security. According to the invention, the anomaly detection accuracy and the fee evasion analysis efficiency are improved, the maintenance cost is reduced, and an efficient and intelligent charging management scheme is provided.

The invention discloses a barrier gate control method and system, a storage medium and a program product, and relates to the field of intelligent traffic Internet of Things application services, and the method comprises the steps: setting a gate opening speed parameter of a barrier gate as a maximum speed value when it is detected that the number of vehicle queues exceeds a preset number threshold; performing image acquisition on the to-be-identified vehicle entering the identification area to obtain a vehicle image; identifying a license plate number in the vehicle image to obtain a license plate identification result; when the license plate number identification fails or the license plate identification result is a null value, extracting a vehicle body color and a vehicle brand identifier in the vehicle image to obtain vehicle appearance data; according to the vehicle appearance data, determining similar traffic data of the to-be-identified vehicle in a historical traffic database; and when it is determined that the current time belongs to the similar passing time based on the similar passing data, a barrier gate opening signal is triggered, so that a barrier gate executes an opening action according to the maximum speed value. According to the invention, the vehicle passing efficiency can be improved.

To provide a parking space allowing a user of a parking lot to park at the lowest charge within a predetermined range.SOLUTION: A parking fee settlement system includes a parking information reception unit that receives parking information indicating that a vehicle is stopped in a predetermined parking space from a portable terminal, a fee information reception unit that receives fee information of another parking space within a predetermined range from the parking space from the portable terminal, a fee comparison unit that compares the fee information of the parking space with the fee information of the other parking space, and a fee settlement unit that settles a parking fee based on the fee information of the other parking space when the fee information of the other parking space is cheaper than the fee information of the parking space.SELECTED DRAWING: Figure 1

The invention discloses a road berth charging and control system for realizing multi-level fault tolerance and a method thereof, and belongs to the technical field of intelligent traffic systems and Internet of Things. The system adopts an edge computing and distributed sensing collaborative architecture, and is composed of an edge controller (ECU) and a sensing and control unit (SCU) deployed in a berth. High availability of the system is ensured through fault-tolerant design of three core dimensions: firstly, perception layer fault tolerance dynamically adjusts data fusion weights of geomagnetism, millimeter wave radar and visual AI according to real-time environment data such as rainfall and electromagnetic interference by integrating an environment perception sub-module; secondly, network layer fault tolerance utilizes an immutable transaction log and a Saga distributed transaction compensation mechanism to realize local charging and digital RMB double offline payment when cloud connection is interrupted, and data consistency is ensured after network recovery; and finally, a hardware layer establishes a neighborhood cooperation protocol based on a signature agent command through fault tolerance, and a healthy node is allowed to act as an agent fault node through safety verification to execute an unlocking instruction. According to the invention, the problems of environmental interference, network interruption, single-point hardware failure and the like in unattended parking management are effectively solved, and the robustness and financial security of the system are remarkably improved.

According to the commercial vehicle ETC transaction invoicing method and device provided by the embodiment of the invention, a bidirectional identity authentication mechanism is innovatively designed, and safety protection of data transmission is realized through hardware binding and session encryption. And a two-dimensional code generation system is constructed, and a reliable data transmission mechanism is established in combination with a check value and a block index. And integrity verification is introduced, and the accuracy of the invoicing process is ensured through ciphertext analysis and data verification. According to the method, the defects of the traditional technology in the aspects of data security, communication reliability, invoicing processing and the like are effectively overcome, and technical guarantee is provided for invoicing of commercial operating vehicles.

The invention discloses an intelligent management method for a parking lot, and the method comprises the following steps: S1, vehicle recognition: collecting the image information of a vehicle when the vehicle enters an entrance of the parking lot, and recognizing the identity information of the vehicle through a license plate recognition system; s2, vacancy detection: acquiring the occupation state of each parking space in the parking lot in real time, and uploading the vacancy parking space information to the central management system; s3, path recommendation: the central management system calculates an optimal parking path according to the vehicle entrance position, the real-time parking space information and the traffic flow direction of the parking lot, and pushes guide information to a navigation display screen at the entrance or a user mobile phone terminal; and S4, charging and payment: before the vehicle leaves, the parking fee is automatically calculated according to the entrance time and the exit time, the problems of inaccurate identification, inflexible guidance, inconvenient payment, opaque management and the like in the prior art are solved, and the user experience and the parking resource utilization efficiency are remarkably improved.

The invention provides a non-inductive payment method and system, electronic equipment and a storage medium, and belongs to the technical field of public transportation. The method comprises the following steps: performing signature verification on gate signature information received from a target gate to obtain signature verification result information; in response to the condition that the signature verification result information meets a preset verification passing condition, determining a terminal marked timestamp, and performing abstract operation processing on a preset time window and the terminal marked timestamp according to the first key symbol to obtain time abstract data; sending the time summary data and the terminal identification information to a target gate to enable the target gate to generate a gate marking timestamp, and performing data consistency verification based on the time summary data, the terminal identification information and the gate marking timestamp to obtain consistency verification result information; and in response to the consistency verification result information meeting a preset consistency verification passing condition, performing non-inductive payment according to charging information received from the target gate. According to the invention, the security of the non-inductive payment process can be improved.

The invention discloses a first-level road non-ETC vehicle toll collection method and system based on multi-source data fusion, and the method comprises the steps: scanning a vehicle in a radar sensing recognition region in real time through a radar, so as to obtain radar scanning information; generating a vehicle tracking record based on the radar scanning information, wherein the vehicle tracking record comprises the target vehicle and first vehicle information corresponding to the target vehicle; in response to the target vehicle entering the visual identification area, an image acquisition instruction is sent to image identification equipment by using a radar, and the image identification equipment comprises license plate identification equipment and vehicle body identification equipment; acquiring second vehicle information acquired by the image recognition equipment; fusing the first vehicle information and the second vehicle information to obtain vehicle fusion information; and determining identification information of the target vehicle based on the vehicle fusion information, and determining a charging amount of the target vehicle according to the identification information. According to the invention, through fusion processing of the multi-source data, the accuracy of vehicle identification is effectively improved, and the conditions of misidentification and missed identification are reduced.

A server apparatus includes one or more processors and a storage medium storing a program. The program includes one or more instructions. The one or more instructions cause the one or more processors to execute: instructing an automatically drivable provider vehicle of a provider who provides a user with a charger installed in a parking space designated for use by the provider to move to a predetermined waiting area; transmitting a provider return notification to the user; instructing the provider vehicle to move from the waiting area to the parking space in accordance with a detection of an exit of the user vehicle from the parking space; transmitting a return notification to the provider in response to a return of the provider vehicle to the parking space; and increasing or decreasing a fee to be paid by the user or a profit to be provided to the provider.

The invention provides a normalized lane charging system and charging method for a highway toll station, and relates to the technical field of intelligent traffic. According to the method, a system lane front-end function module is arranged at the front end of a lane of a toll station and used for directly interacting with vehicles in the lane, collecting vehicle information and executing a control instruction; the edge node processing module is arranged at an edge node of a toll station level, and is used for processing transaction data and picture information from the lane front-end function module based on a virtualization technology, and carrying out collaborative management on multiple pieces of lane service data under the condition that the edge node processing module is matched with the cloud service management module; and the cloud service management module is deployed at a cloud end and is used for carrying out unified management on the charging services of the plurality of toll stations. The system can decouple business processing and equipment control by adopting a cloud-side-end system architecture, and improves the lane passing efficiency.

The invention relates to the technical field of road traffic monitoring and operation and maintenance, in particular to a toll station cloud duty monitoring method and system. The method comprises the following steps: collecting multi-modal data at a toll station, carrying out time sequence alignment, feature extraction and semantic mapping at an edge end to generate event semantic fingerprints, compressing and storing the event semantic fingerprints, and completing anomaly measurement and priority judgment at the same time; the event priority is calculated based on a multi-dimensional scoring mechanism in combination with the anomaly degree, the influence range and the frequency, preliminary anomaly grading is carried out through semantic similarity matching, and an intelligent transmission strategy is formulated; after receiving the high-priority events, the cloud integrates an event set, disassembles semantic fingerprints to construct a cross-modal causal incidence matrix, identifies a causal chain and extracts a high-causal-strength event combination to generate a synthetic event vector for anomaly verification; and feeding back a cloud causal analysis result to an edge end, adaptively adjusting a screening weight threshold by the edge, and checking an iterative optimization strategy through cloud edge consistency. According to the invention, abnormal real-time response and resource optimization are realized.

The invention relates to the technical field of highway intelligent traffic management, in particular to a charging abnormity monitoring and recognition system for a highway. Comprising a data acquisition module used for acquiring vehicle track flow data and road network topology basic data; the first processing module is used for calculating topology inconsistent energy and generating a purification subgraph according to the topology inconsistent energy; the second processing module is used for calculating the antagonism characteristic drift rate and resolving the posterior probability that the target vehicle is a real fee evasion person; the game decision-making module is used for determining the total expected utility in combination with the preset interception income and the social congestion conversion cost, and solving the optimal interception execution probability which maximizes the total expected utility; and the strategy execution module is used for responding to the optimal interception execution probability. According to the method, the interference of environmental noise and equipment faults on a recognition system is remarkably reduced, the purity and credibility of input data are improved, and a solid foundation is laid for subsequent accurate recognition.

The invention discloses an intelligent parking system and a vehicle parking management method, and relates to the technical field of intelligent traffic and Internet of Things, and the method comprises the steps: S1, collecting vehicle position signals and vehicle image features, and carrying out the data fusion, and obtaining the real-time coordinates of a vehicle with direction information; s2, constructing a continuous track chain based on the real-time coordinates of the vehicle, and recognizing abnormal behaviors of the vehicle based on a preset track feature threshold value; and S3, generating and executing a corresponding barrier gate control instruction according to the abnormal behavior of the vehicle. According to the method, geomagnetism and video sensing data are fused in a dynamic self-adaptive mode, a vehicle continuous track chain is constructed, abnormal behaviors such as vehicle retention and turning around can be accurately recognized, real-time linkage with barrier gate control is achieved, and therefore the vehicle smashing prevention safety, the accuracy of illegal behavior recognition and the real-time performance of system response are effectively improved.

The invention provides a parking lot space management and control method and system, and relates to the technical field of intelligent transportation, and the method comprises the steps: inputting calibrated parking space state mapping data, a final parking space guiding path scheme and updated special parking space state data into a space-time prediction algorithm, and carrying out the multi-source data fusion and parking space demand trend analysis, a parking space demand prediction map is obtained; based on the map, carrying out dynamic division and parking space resource allocation on a parking lot area to obtain a dynamic area allocation strategy; and based on a dynamic area distribution strategy, carrying out data synchronization on continuously updated parking space state data and a payment processing process, automatically completing payment verification when the vehicle leaves the parking lot, releasing path planning resources after the verification is passed, and updating the parking space state database. According to the invention, through closed-loop management of multi-technology fusion, accurate sensing of parking space states, safe path guidance, dynamic optimization of resources and efficient billing of departure are realized.

The invention discloses an expressway toll and traffic flow prediction method based on a deep neural network, and the method comprises the following steps: collecting comprehensive traffic data, carrying out the data standardization processing, and generating structured time series data; classifying the time sequence data to obtain nodal time sequence data; extracting operation characteristics according to a set time window to obtain model input data; a deep neural network is constructed and calculation is carried out, and a prediction result is output; based on the prediction result, generating the income prediction of the traffic flow and the road fee in the future target time period, and outputting the initial quantile information corresponding to the prediction value at the same time; training the deep neural network to obtain a prediction model; a prediction model is adopted, sequential Mondrian configuration prediction is used, and a prediction interval is output; and writing the observation data and the prediction result into the calibration record of the corresponding group, and outputting the calibrated prediction result of the next prediction period. According to the invention, highway toll and traffic flow prediction is realized.

The invention belongs to the technical field of network security, and particularly relates to a highway toll threat event prediction and traceability system based on deep learning, which comprises a highway networked toll system. The network safety work management platform is used for forming a planned management strategy by combing the existing safety management work flow of the highway networked toll collection system; the network security operation and maintenance service risk management system is used for constructing an expressway network toll collection system operation and maintenance service security risk management system; and the abnormal event analysis system is used for constructing a visual safe brain for abnormal event analysis and prediction and has an event tracing function. According to the invention, an efficient and visual management platform is created to deal with emergency situations and task changes, construct a security risk management system, ensure data security and integrity and construct a security brain for anomaly analysis, so that a manager can monitor the network security state in real time and make a response quickly.

The invention relates to the technical field of Internet, and discloses a public transportation ticket business interconnection and intercommunication system and method for rail transit inter-city areas, and the system comprises a unified ticket business rule module which is used for determining a unified charging rule adaptive to each operation main body; the clearing and clearing module is used for acquiring ticket business transaction data from the train dispatching system and the gate transaction system of each operation main body, and clearing and clearing the ticket business transaction data according to a preset clearing rule to obtain a clearing and clearing result; the payment adaptation module is used for establishing a unified real-name account of the user and establishing a binding relationship between the unified real-name account and different pass vouchers; the cross-subject transfer cooperation module is used for acquiring a station entry and exit request of a user; and calling the binding relationship in the payment adaptation module according to the station entry and exit request, and verifying the validity of the pass voucher in the station entry and exit request of the user according to the binding relationship. The travel experience of the user can be improved.

The invention discloses a truck footprint map visualization method and system based on ETC passing data, and belongs to the technical field of visualization. The method comprises the following steps of: constructing a space coordinate passing record set by acquiring an original passing record, a toll station number table, a cost statistical table, a passing frequency table and a payment conservation record table of a truck ETC (Electronic Toll Collection), and calculating a continuity weight; generating a complete track data set; constructing a lightening node and a coverage area; constructing a lightening result set of the site layer and the region layer; performing layered color assignment on the state value of each lightening node in the lightening result set according to a continuous weight; constructing a time comparison panel; constructing a multi-dimensional information presentation result set; calculating a comprehensive achievement score, and mapping the comprehensive achievement score to the lighting result set; constructing an achievement progress set; the method achieves the precise restoration and dynamic display of the track of the truck, and has the advantages of being high in real-time performance, rich in visualization effect and comprehensive in evaluation dimension.

The invention relates to the technical field of parking lot management, and discloses a parking lot vehicle entrance and departure processing method and system in an off-network scene, and the method comprises the steps: inputting a spatial-temporal feature capsule of a departure vehicle for preliminary matching, combining vehicle features for secondary verification, outputting a matching result, and dynamically updating a feature evolution tree according to the matching result. Recording in a storage chain and performing time verification; according to the invention, through the innovative design of dynamic weight adjustment, quantitative compression, spatial-temporal feature capsule construction, hardware encryption signature and the like in a network disconnection scene, the core advantages of greatly compressing the storage space, remarkably improving the vehicle type recognition accuracy, enhancing the environmental adaptability, increasing the data security, guaranteeing the network disconnection reliability and the like are realized; the key problems of high storage occupation, weak vehicle model feature adaptation, sensitive environmental interference, easy data tampering, low matching efficiency, function breakdown and the like of a traditional parking lot management system during network disconnection are directly solved.

The invention discloses an ETC prepaid card transaction data security processing system, and belongs to the technical field of ETC. User classification is carried out according to security protection information to obtain a plurality of user classifications, and security situation simulation is carried out according to the user classifications to obtain security situation analysis results of the user classifications; identifying transaction data of the user in real time, and encrypting the transaction data through a preset data encryption mode; performing identity verification on the user according to a preset identity verification mode; generating an ETC transaction portrait according to the historical ETC transaction data of the user, and dynamically updating the ETC transaction portrait according to the ETC transaction data; and establishing a transaction abnormity identification model, identifying ETC transaction data in real time, carrying out risk analysis on the ETC transaction data according to the ETC transaction portrait through the transaction abnormity identification model, obtaining a corresponding transaction risk identification result, and carrying out corresponding processing according to the transaction risk identification result.

To perform settlement corresponding to a payment method desired by a user.SOLUTION: In a checkout system including an information processing device, a first checkout device connected to the information processing device and installed in a parking lot, and a second checkout device connected to the information processing device and installed in the parking lot, the information processing device includes a calculation unit configured to calculate a fee generated by a service in the parking lot, the first checkout device includes a first checkout unit configured to checkout the fee by a first payment method, and a reception unit configured to receive a checkout request by one of the first payment method and a second payment method different from the first payment method, and the second checkout device includes a second checkout unit configured to checkout the fee by the second payment method when the checkout request received by the reception unit is the second payment method.SELECTED DRAWING: Figure 7

This system provides a simplified payment processing system for providing in-vehicle charging services on toll roads. [Solution] The on-road power supply system includes: a request receiving unit that receives power supply requests from vehicles traveling upstream of the on-road power supply section via a first roadside communication facility installed upstream of the on-road power supply section; a power transmission command unit that, upon receiving the power supply request, transmits a power transmission command to a power transmission unit corresponding to the on-road power supply section; and a power reception unit that receives a power reception amount notification from the vehicle indicating the amount of power received in the on-road power supply section.

The invention relates to the technical field of intelligent transportation, in particular to an expressway unattended compound charging data distribution and sharing method. In order to solve the core problem of high matching error rate of vehicle identity, position and payment data caused by sensing data isolation and lack of an effective association mechanism between multiple vehicles and multiple self-service terminals in a duplex charging scene in the prior art, the invention integrates a millimeter-wave radar and a high-definition camera through a vehicle-road collaborative sensing layer. A Kalman filtering algorithm is adopted in the multi-modal data analysis layer to fuse vehicle tracks and identity features, a vehicle dynamic label is generated, accurate correlation verification of vehicle data and terminal data is triggered based on a preset space threshold value, and the problem of data mismatching is fundamentally solved. According to the method, intelligent scheduling and a fault self-healing mechanism are combined, the accuracy and the real-time performance of data distribution and the reliability of the system are remarkably improved, and a key technical support is provided for realizing efficient and reliable unattended multiple charging.