3841results 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.

An apparatus comprising an interface and a processor. The interface may be configured to receive data about an interior of a vehicle. The processor may be configured to process the data, determine a number of occupants in the vehicle in response to an analysis of the data and generate a counter signal comprising the number of the occupants in the vehicle. The counter signal may be generated in a format compatible with a toll interface of a toll tag. The toll tag may be implemented in the vehicle. The toll tag may be configured to generate a readable occupant count in response to the counter signal. The readable occupant count may be configured to be scanned by an automatic roadway system.

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 expressway non-inductive toll collection system and method based on Beidou positioning. The system comprises a cloud charging cloud platform which is used for receiving positioning data of a vehicle, identifying a vehicle path and a driving mileage, and carrying out split settlement of highway toll; the side end computing device is used for lifting the vehicle with the confirmed identity in advance; the mobile terminal is used for providing an appointment passing service and an automatic payment service; the Beidou vehicle-mounted terminal is used for collecting vehicle position information, vehicle speed information and azimuth angle information in real time, automatically marking timestamps and then sending the timestamps; automatically recording and sending the location and the passing time of the passed RSU equipment; the checkpoint camera is used for identifying a license plate and automatically recording and sending vehicle passing time. According to the scheme, vehicle passage online reservation can be realized, vehicle path identification is realized based on Beidou high-precision positioning, vehicle passage fee splitting calculation is realized based on a cloud platform, and the vehicle can quickly pass through a toll station at a free-flow vehicle speed.

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 comprehensive management background operation and maintenance system, and the system comprises an automatic charging management module which is used for providing an automatic payment service; the abnormal behavior detection module is used for detecting an abnormal behavior and triggering an alarm; the energy management module is used for automatically adjusting the state of the illumination and ventilation system; the parking space distribution management module comprises an entrance recommendation unit used for recommending an entrance for the vehicle; the parking space distribution unit is used for acquiring idle parking spaces, vehicle positions, access destination positions and charging pile position information when the visitors are identified and the electric vehicles are driven, and establishing a multi-target optimization model; a target parking space is distributed to the vehicle owner through solving; and the navigation positioning unit is used for providing navigation service for the vehicle owner and updating the optimal driving path in real time by adopting a dynamic path planning algorithm. According to the invention, proper entrances and parking spaces can be rapidly and accurately provided for vehicle owners, the optimal path is provided for driving reference of the vehicle owners, the rationality of parking space distribution of the parking lot is ensured, and the utilization rate of parking space resources and the management energy efficiency are improved.

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.

A parking management system comprises a first image obtaining device configured to recognize a vehicle number at an entry of a parking lot or in the parking lot, a second image obtaining device installed in the parking lot, and a computing device configured to communicate with the first image obtaining device or the second image obtaining device. Here, the computing device identifies the vehicle considering vehicle information detected by using a re-identification (RE-ID) technology and vehicle information obtained by analyzing an image obtained from at least one of the image obtaining devices, and the RE-ID technology determines whether vehicles are the same by using appearance information of a vehicle included in an image obtained by the first image obtaining device and appearance information of a vehicle included in an image obtained by the second image obtaining device.

The invention discloses a roadside parking space management method and related equipment, and the method comprises the steps: continuously carrying out the real-time laser radar sampling of a to-be-detected parking space according to a first sampling period, and obtaining a sampling result; determining a parking space state at a corresponding moment based on a sampling result, and storing the parking space state and / or corresponding license plate information to a cloud; obtaining state transition information of the to-be-detected parking space based on a plurality of parking space states stored in the cloud; and obtaining charging data of the corresponding vehicle based on the state transition information and the license plate information. According to the invention, real-time laser radar sampling is continuously carried out on the to-be-detected parking space to determine the state transition information of the to-be-detected parking space, so that the vehicle entering and exiting condition in the parking space is identified, charging management is carried out on the vehicle, and unmanned management is realized.

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 invention requests to protect an OBU state monitoring method for an expressway ETC system. The method comprises the following steps: obtaining transaction data and portal topological data of the expressway ETC system; cleaning transaction data and constructing a vehicle track set; comparing the vehicle trajectory set with the portal topology data to identify a missing situation; dividing OBU state levels according to the missing number range; constructing a heterogeneous graph based on the transaction condition of the OBU and the ETC door frame and the topological relation between the ETC door frames; according to the method, a GraphSAGE model is used for classifying OBU nodes in a heterogeneous graph so as to monitor the OBU state, the GraphSAGE model is used for sampling and aggregating neighbor node features, a representation vector of each OBU node is generated, and then real-time monitoring of the OBU state is achieved.

Systems and methods are provided for improved fleet management. For example, disclosed embodiments access toll transaction data received from one or more toll agencies, normalize the toll transaction data from each toll agency, access telematic data, normalize the telematic data, and generate a correlated trip dataset comprising the normalized toll transaction data and the normalized telematic data. Based on the correlated trip dataset, systems are configured to calculate a net present toll value, identify toll bill errors, identify pre-violations, and identify vehicle fraud and abuse.

The invention relates to a CPC card information reading and transaction data multiple verification system, which belongs to the technical field of highway toll collection; the system comprises CPC card information reading, operation and maintenance update, database, billing, verification and payment processing modules; the CPC card information reading module collects and verifies information before a vehicle enters a toll station, and unqualified vehicles send the wrongly read information to the operation and maintenance update module after manual verification; the operation and maintenance update module analyzes the number of unqualified key items of the wrongly read information, and determines the system reading problem according to the operation and maintenance evaluation value; the database stores vehicle related information; the billing module accurately calculates the toll, and specially handles vehicles registered in the province; the verification module verifies the legality of the rate and online billing; the payment processing module realizes the payment of vehicle communication fees, CPC return and verification. The invention can improve the accuracy of information reading, ensure the rationality of fee calculation, enhance the reliability of fee verification, and effectively solve the problem of CPC card information reading and the problem of insufficiency of traditional charging methods.

The invention relates to the technical field of automatic control, in particular to an intelligent parking lot access control system and method, and the system comprises a reservation information processing module, a vehicle entrance detection module, a parking space intelligent distribution module, a navigation path calculation module, an indicator light control module and a parking duration calculation module. According to the invention, through automatic identity verification and parking space matching, manual intervention is reduced, the efficiency and accuracy of the reservation process are optimized, the magnetic field inductor is used for identifying vehicle entrance and starting the image acquisition equipment, and vehicle information is identified and recorded, so that the calculation demand and equipment energy consumption of image analysis are reduced, and the vehicle entrance speed and safety are optimized; through parking space distribution and navigation path calculation, in combination with indication lamp control, an optimal navigation route is provided for a driver, a vehicle is guided to accurately arrive at a designated parking space, the time for finding the parking space by the vehicle is shortened, and through a mode of automatically calculating parking fees and controlling an exit barrier gate, payment and departure processes are optimized, and the convenience of the parking process is improved.

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 discloses a non-inductive gate charging distance determination method and device and a storage medium, and relates to the technical field of data processing. According to the method, the sampling distance difference of the mobile terminal is determined based on the sampling distance value of the mobile terminal obtained by sending the ranging signal by the fixed anchor point, then the moving speed of the mobile terminal is determined based on the product of the sampling distance difference and the sending frequency of sending the ranging signal by the fixed anchor point, and the moving speed of the mobile terminal is determined based on the moving speed of the mobile terminal. And determining the charging distance of the gate. Through the method, the ultra wide band non-inductive gate can determine the gate charging distance according to the actual position and the motion state of the user so as to adapt to different moving speeds of the user, and the passing efficiency is improved.

The invention discloses a travel interaction method, device and equipment and a storage medium, and relates to the technical field of intelligent transportation, the method comprises the steps that an area where a target passenger is located is detected through a UWB radio frequency module, and the area where the target passenger is located comprises a preset authentication area, a card reading area or a card writing area; and executing the corresponding interaction operation based on the area where the target passenger is located. The processing efficiency can be improved.

The invention provides a vehicle access method and system for abnormal parking lot network, and is applied to the field of data processing. According to the invention, under the condition of network abnormity, the local off-line terminal and the preset rule are utilized to ensure that the vehicle can still enter and exit the parking lot normally, the situation that the gate cannot be operated due to network problems is avoided by collecting the optical signal data and recording the path movement information in real time, and meanwhile, under the condition of network abnormity, the vehicle can enter and exit the parking lot normally. Parking fees can be calculated on the basis of locally collected optical signal data, fee information is generated through the offline terminal and sent to the user mobile terminal, the offline payment function is achieved, the problem that charging cannot be carried out when the vehicle leaves the parking lot when the network is disconnected is effectively solved, the optical signal data and vehicle path information are locally recorded in real time, and even after the network is recovered, the charging efficiency is greatly improved. The data can still be synchronized with the cloud, so that the data integrity is ensured, and loss or mistakes and omissions caused by network interruption are avoided.

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.

The invention provides a highway cloud toll collection system data transmission method, and relates to the technical field of data transmission. The highway cloud toll collection system data transmission method specifically comprises the following steps: S1, data acquisition; s2, data preprocessing; s3, transmitting visible light communication data; s4, road side unit data receiving and processing; s5, encrypting the data and transmitting the data to an edge computing node; s6, edge computing node data processing; s7, uploading the data to a cloud platform; and S8, carrying out deep analysis on the cloud platform data. The invention provides an expressway cloud toll collection system data transmission method which has the advantages of efficient data transmission, high safety, high reliability, intelligent data processing, high expansibility, cost effectiveness and the like. The overall performance and the user experience of the highway toll collection system can be obviously improved.

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.

Locking devices, systems, and methods for securing personal property to separate structures. Such a locking device includes a lock body, a cable within the lock body and having a first end accessible from an exterior of the lock body, a spool for extending and retracting the cable out of and into the lock body, a lock pin disposed at the first end of the cable, a cable lock incorporated into the lock body and configured to releasably secure the lock pin to the lock body, and an electronic communication and control unit incorporated into the lock body and configured to communicate with a remote device. The electronic communication and control unit controls the cable lock to secure and release the lock pin relative to the lock body to allow the remote device to wirelessly unlock the first end of the cable from the lock body.

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 discloses a maintenance method and device of automatic fare collection equipment, equipment and a medium, and belongs to the technical field of Internet of Things. The method comprises the following steps: acquiring operation data of the automatic fare collection equipment; inputting the operation data into a pre-constructed scoring model, and determining the health level of the automatic fare collection equipment according to an output result of the scoring model; and when the health level meets a preset condition, carrying out fault alarm on the automatic fare collection equipment, and sending a remote restart instruction to the automatic fare collection equipment to control the automatic fare collection equipment to be restarted. According to the technical scheme, the health level of the automatic fare collection equipment can be monitored through the operation data, early warning and maintenance can be carried out on the fault condition in time, the maintenance efficiency of the automatic fare collection equipment can be improved, and normal operation of rail transit is guaranteed.