40 results about "Vehicle counting" patented technology

This disclosure relates generally to identification of charging station location based on data driven optimization. Despite the rapid growth seen in adoption of EVs, several challenges have remained, with the major concern of choosing the location of the charging infrastructure is crucial. The state-of-art techniques to identify the location of charging infrastructure / station is based on pure optimization techniques using static number of charging stations, which may not effectively output the global optimal solution for the city as it is not performed at real-time. The disclosed technique is a flow-based solution approach that is based on daily traffic count data. The disclosed technique analyses traffic condition from vehicle count data, geography of the city or area of interest, road networks, charging station operation constraints to identify a set of candidate locations required to cover entire city or area of the interest based on a score-based ranking of each candidate location.

The invention discloses a configurable dynamic vehicle-mounted dimming method and system for tunnel lamp illumination, and the method comprises the following steps: dividing a target tunnel into a plurality of dimming sections, further dividing a dimming loop in each dimming section, and carrying out the deployment of an illumination unit and an incoming vehicle detector based on a division result; a dimming counting interval of a logic level is constructed, a dynamic mapping relation is established between the dimming counting interval and a dimming loop of a physical level, and the dimming counting interval is a minimum logic unit used for vehicle tracking and counting; an independent vehicle counter is configured for each dimming counting interval, and a counting updating rule is set; configuring a security policy for counting function activation and dimming execution; and responding to the triggering of the coming vehicle detector, updating the vehicle count in the dimming counting interval in real time, and adjusting the brightness of the dimming loop based on the security policy. Compared with the prior art, the configurable dynamic vehicle-mounted dimming method and the configurable dynamic vehicle-mounted dimming system have remarkable progress in the aspects of energy conservation and safety.

The present invention relates to the technical field of parking space planning, and discloses a scene monitoring and control system used in a multimodal park. The system comprises the following key steps: generating a park set by acquiring the number of partitions of the park, realizing comprehensive monitoring and management of parking spaces in the park, using a parking space detection sensor to monitor the occupancy status, position and number of parking spaces in real time, setting a parking capacity threshold, ensuring that there are enough parking spaces for vehicles in the park in any time period, setting a monitoring time period T through a time recording unit and a vehicle counter unit, accurately acquiring the inflow and outflow in each time period, and then calculating the net flow to evaluate the parking demand of the park, and executing a vehicle parking strategy according to the inflow and the parking capacity threshold, including a low inflow strategy, a high inflow strategy, a normal parking strategy and an allocated park strategy, to adapt to the parking demand of vehicles in different time periods and under different flow conditions.

The present application relates to the technical field of vehicle battery replacement, in particular to a battery replacement station battery replacement queuing vehicle counting method, device, equipment and storage medium, the present application discloses a kind of battery replacement station battery replacement queuing vehicle counting method, the battery replacement station battery replacement queuing vehicle counting method includes: detecting new energy battery replacement vehicle in the preset queuing area of battery replacement station that meets queuing condition;The vehicle attribute and historical battery replacement data of each new energy battery replacement vehicle are obtained;Through the trained battery replacement prediction model, whether each new energy battery replacement vehicle exists battery replacement demand is predicted according to the vehicle attribute and the historical battery replacement data;The number of target new energy battery replacement vehicle that exists battery replacement demand is determined, by obtaining the vehicle attribute and historical battery replacement data of new energy battery replacement vehicle in the preset queuing area of battery replacement station that meets queuing condition, input to the trained battery replacement prediction model, to predict whether new energy battery replacement vehicle exists battery replacement demand, improve the precision of the vehicle battery replacement queuing number calculation of battery replacement station.

The invention provides a traffic management system and method. A traffic management system is disclosed. The system may include a transceiver configured to receive an input from a sensor kit located near a first location; and a processor configured to obtain the input from the transceiver. The processor may also be configured to determine a vehicle count and / or a vehicle queue length in a queue of vehicles near the first location based on the input. The processor may also determine that a predefined condition may be satisfied based on the vehicle count and / or the vehicle queue length. The processor may, in response to determining that the predefined condition is satisfied, determine a presence of a vehicle behind an associated point in the queue of vehicles based on the input, and, in response to determining that the vehicle is present, transmit an instruction to the vehicle to move to a second location.

The present invention belongs to the technical field of vehicle recognition and tracking, and discloses a portable vehicle video target recognition and tracking method and system. The portable vehicle video target recognition and tracking method includes: setting hyperparameters; performing foreground extraction; performing morphological processing; and performing vehicle counting. The present invention proposes a solution for video target recognition and tracking based on the ARM platform. In terms of the moving target tracking algorithm, it focuses on researching the contour-based tracking algorithm, and on this basis, proposes improvements according to the actual traffic flow statistics scenario. For the problems of vehicle connection occlusion and vehicle perspective change, solutions such as setting hyperparameters according to the pixel size of the vehicle and using target filtering technology to improve accuracy are proposed. The present invention finds the recognition algorithm and tracking algorithm with the highest matching degree with the ARM platform through analysis and comparison, and finally realizes the recognition, tracking, and counting of video moving targets on the ARM platform.

The present invention relates to the field of radar technology, and in particular to a data fusion method and a device thereof. The method comprises the following steps: S1, using a lane calibration automatic division method to complete lane division and obtain a lane division result; S2, according to the lane division result, using a split target fusion method to fuse collected vehicle target data to obtain fused vehicle target information, complete the statistics of vehicle flow and vehicle speed, and effectively solve the problem of large truck target splitting and improve the accuracy of vehicle counting.

This utility model relates to the field of municipal supplies, specifically a portable road vehicle counter, including a laser emission counter, a clock module, a microprocessor, a memory, and a power supply module. The laser emission counter includes a transmitter and a receiver respectively located on both sides of the road segment to be measured. The transmitter emits a laser beam, and the receiver receives the laser beam and generates an electrical signal. The clock module, laser emission counter, and memory are all communicatively connected to the microprocessor. When the microprocessor receives a counting signal triggered by a vehicle blocking the laser beam, it simultaneously acquires the current time information provided by the clock module, binds the counting result corresponding to the counting signal with the time information, and stores it in the memory. This solution can count the number of vehicles passing through within a certain time period, thereby determining the frequency and temporal pattern of traffic congestion on a certain road segment, allowing for adjustments to construction organization and facilitating road engineering modifications.

The invention discloses a sensor-based monitoring system, and the system comprises a first weight sensor which detects the weight data of a vehicle when the vehicle leaves from a leaving intersection of a cargo loading place and passes through the first weight sensor, and generates first vehicle counting data; the data processing module accumulates the received weight data of the vehicles to obtain current accumulated weight data of the vehicles, accumulates the first vehicle counting data, calculates the total number of the loaded vehicles, divides the current accumulated weight data of the vehicles by the total number of the loaded vehicles to obtain the average cargo capacity of the vehicles, and sends the average cargo capacity of the vehicles to the data processing module; dividing the remaining weight data of the to-be-loaded cargoes by the average cargo capacity of the vehicles, and calculating to obtain the number of the vehicles needing to be allocated; and the deploying module is used for sorting the vehicles in the to-be-loaded state from small to large according to the driving distances between the vehicles and the cargo loading places, and sending deploying instructions to the vehicles. The port cargo loading efficiency can be improved.

The present invention relates to the technical field of traffic signal control, and in particular to a signal intersection control system and method based on colored Petri nets. The present invention determines the position of a vehicle counter according to the definition of an intersection; tokens of different colors are used to represent different vehicle types; a modular model of an intersection path and a modular model of intersection path signal control are constructed according to the definition of an intersection; a Petri net model of an intersection is constructed by combining the modular models of the paths to establish a control model for a signal intersection. The model constructed by the present invention can well distinguish different types of vehicles, simulate various processes of vehicles passing through an intersection, and construct a complete intersection model by combining modular models. It has strong universality and is suitable for different types of intersections; the constructed model can flexibly connect to a signal control optimization model that meets the requirements, thereby improving traffic efficiency while ensuring vehicle safety.

The invention provides a coal logistics park traffic flow statistical system and method based on YOLOv8 and OpenCV, and the method comprises the following steps: S101, deploying high-definition monitoring equipment at a key intersection in a coal logistics park, and configuring equipment parameters; s102, variables are initialized, a model is loaded, and a data loader is configured; s103, acquiring camera video data in real time through the rtsp video stream; s104, traversing the data frame, and carrying out object detection and tracking; s105, processing a detection result to realize vehicle counting; and S106, deploying the model to a management end to display a result. According to the method, targeted training is carried out on the YOLOv8 model for the special environment of the coal logistics park, the OpenCV and the vehicle tracking algorithm are combined, efficient and accurate recognition, tracking and statistics of the vehicles are achieved, the detection problem caused by shielding, light change and other factors is solved, and a basis is provided for park traffic management. In addition, the system is flexible and expandable, a user can configure the system according to needs, the system can be conveniently expanded to other logistics parks or traffic scenes, and large-range vehicle monitoring is achieved.

The invention relates to the technical field of traffic signal control, in particular to a signal intersection model based on a colored Petri network and a control method. The model determines the position of a vehicle counter according to the definition of an intersection; tokens with different colors are adopted to represent different vehicle types; constructing a modular model of an intersection path and a modular model of intersection path signal control according to the definition of the intersection; and constructing a Petri network model of the intersection through the modular model of the combined path so as to establish a control model of the signalized intersection. According to the model constructed by the invention, different types of vehicles can be well distinguished, each process that the vehicles pass through the intersection is simulated, and a complete intersection model is constructed by combining modular models, so that the model has extremely high universality and is suitable for different intersection types; and the constructed model can be flexibly and externally connected with a signal control optimization model meeting requirements, so that the passing efficiency is improved on the premise of ensuring the vehicle safety.

1. Name of the product in this design: Magnet Mounting Bracket (THDS Equipment). 2. Purpose of this design: To provide a mounting platform for the magnetic signal sensor of an infrared shaft temperature detection system (THDS device). Magnet steel signal sensors are an important component of railway infrared axle temperature detection systems (THDS equipment), providing the system with start / stop signals and axle / vehicle counting signals. The magnet mounting bracket allows the magnet signal sensor to be installed on the rail, meeting the relevant dimensional requirements. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D model 2. 5. The enlarged view of part A is a partial enlarged view of part A in 3D diagram 2.

A parking facility that includes two or more parking areas / levels / sublots that are subject to different parking rules and / or cost structures employs cameras to monitor exit events for each separate parking area / level / sublot that is subject to different parking rules and / or cost structures. Vehicle parking is monitored for each different parking area by reading a vehicle characteristic with a camera, such as a license plate reading (LPR) camera where plates of vehicles exiting each sublot can be read. As the vehicle is determined to be exiting a first sublot, it is removed from the tally for that first sublot and simultaneously added to the tally for the second sublot. Additional sublots are monitored and tallied in a similar manner.

The present disclosure provides an image-based vehicle recognition method, device, system, equipment and storage medium. The method comprises: inputting the acquired vehicle image into a trained vehicle recognition network to output a vehicle position distribution map, a vehicle counting density map and a multi-scale candidate region attention map; determining a vehicle positioning result and a vehicle counting result according to the vehicle position distribution map and the vehicle counting density map; determining a dense area with dense vehicle distribution in the vehicle image according to the multi-scale candidate region attention map; inputting the local image of the dense area into the vehicle recognition network after resolution magnification to output an accurate vehicle position distribution map and a vehicle counting density map of the corresponding area, and then determine the accurate vehicle positioning and counting result of the corresponding area, replace the vehicle positioning and counting result of the corresponding area in the vehicle image, and obtain the accurate vehicle positioning and counting result of the vehicle image. The present disclosure realizes accurate recognition of the number and position of vehicles in the image.

The utility model discloses a numerical control turning auxiliary tool for machining a nitrogen cylinder lower cover workpiece, relates to the technical field of numerical control turning auxiliary tools, and aims to solve the problem that a three-jaw chuck on a numerical control lathe cannot clamp a nitrogen cylinder lower cover. The clamping end of the transition piece is round and used for being clamped with a three-jaw chuck, the end, away from the three-jaw chuck, of the transition piece is coaxially connected with a connecting rod, the connecting rod is coaxially sleeved with a workpiece body, and the end, away from the transition piece, of the connecting rod is connected with a pressing plate.

A vehicle comprising at least one transmitting antenna unit which is configured to transmit a radio signal impulse in a defined transmission frequency range. At least one receiving antenna unit is configured to receive radio signals in the defined transmission frequency range. A computing unit is configured to monitor the signal strength curve of the radio signal received by the receiving antenna unit. The computing unit has a vehicle counting module, which is designed to detect the vehicles passing the vehicle on the basis of the signal strength curve and to add them together to a count value.

An edge information handling system (IHS) manager includes a storage for storing a labeled data associated with a use counter; and a vehicle counter; and a processor. The processor is programmed to: update an inference module using the labeled data, determine, after the updating, whether the use counter of the labeled data has exceeded a current use threshold, and in response to the use counter of the labeled data exceeding the current use threshold, initiating replacing of the labeled data with new labeled data from a central IHS. The current use threshold is based on the vehicle counter.

The invention discloses a traffic thermal environment three-dimensional image rapid prediction and image display device and method. The traffic thermal environment three-dimensional image rapid prediction and image display device comprises a 360-degree rotating camera, a temperature sensor, a wind speed sensor, an image acquisition module, a data processing module and a display. The 360-degree rotary camera is responsible for shooting real-time vehicle condition pictures on a road; the image acquisition module is responsible for carrying out vehicle counting on real-time vehicle condition pictures; the temperature sensor is responsible for collecting real-time air temperature around the road; the wind speed sensor is responsible for collecting real-time wind speed around the road; the data processing module is responsible for processing the acquired data, generating a real-time high-resolution traffic thermal environment dynamic image of the road and judging the average temperature; and the display is responsible for displaying real-time high-resolution traffic thermal environment dynamic images or simultaneously prompting'high-temperature early warning '. The method solves the problem that the traditional technology is limited by the number of monitoring equipment and the use cost, and can be suitable for predicting and displaying any road traffic thermal environment three-dimensional image.

The purpose of the present invention is to provide a waiting time (estimated standby time) for a vehicle waiting in a waiting vehicle queue occurring in a specific lane on a road.　This calculation system comprises: a detection unit that, on the basis of information about a first area set in front of a specific point, detects the leading vehicle in a queue of waiting vehicles heading to the specific point; a first calculation unit that calculates the travel time required for the leading vehicle to pass the specific point, on the basis of the movement of the leading vehicle; a vehicle counting unit that detects vehicles that have entered a second area serving as a waiting place for following vehicles that follow the leading vehicle, and thereby counts the number of following vehicles that follow the leading vehicle; and a second calculation unit that calculates an estimated waiting time for a vehicle when the vehicle newly joins the queue of waiting vehicles, on the basis of said travel time and the number of following vehicles.

The present disclosure is a vehicle counting system that performs: acquiring a signal measured by an optical fiber vibration measurement device to which an optical cable having a crossing section laid to cross a road or a railway is connected; calculating a vibration waveform of the crossing section using the acquired signal; and counting the number of vehicles that passed through the crossing section on the basis of the calculated number of vibration waveforms.

The invention discloses a vehicle state detection system and a detection method. The system comprises an axle counting sensor group and a vehicle counting sensor group, wherein the axle counting sensor group is arranged in a detection area and is used for counting the number of train axles; the first direction train coming and going detection sensor group and the second direction train coming and going detection sensor group are respectively arranged in front of and behind the detection area and are used for judging whether a train comes or goes. According to the invention, the functions of arrival, departure, parking, backing, axle counting and vehicle counting judgment of the train are comprehensive, and the judgment of the state of the train is accurate, so that the conditions of missing detection, repeated detection and the like are effectively avoided during detection.

The application relates to the technical field of artificial intelligence, and provides a vehicle counting method and device, electronic equipment and a storage medium, the method comprises the following steps: acquiring an original image collected, and performing first preprocessing on the original image to obtain a first image, wherein the original image contains a plurality of vehicles; performing a first morphological operation on the first image to obtain a plurality of contours in the original image; determining a target contour based on the plurality of contours, and performing distance transformation on the target contour to obtain a distance transformation image; performing second preprocessing on the distance transformation image to obtain a second image; performing a second morphological operation on the second image to calculate the number of vehicles in the original image. The application separates the adhered vehicles for multiple times through the morphological operation on the preprocessed image, and the accuracy of vehicle counting is improved.

The invention relates to a vehicle (10) comprising at least one transmitting antenna unit (22, 32, 42, 52) which is designed to transmit radio signal pulses (SI) in a defined transmission frequency range; at least one receiving antenna unit (24, 34, 44, 54), which is designed to receive a radio signal (S) in the defined transmission frequency range; and a computing unit (62), which is provided for evaluating a signal strength curve (SV) of the radio signal (S) received by the receiving antenna unit (24, 34, 44, 54), the computing unit (62) having a vehicle counting module (64), which is designed to identify vehicles (100, 102) passing by the vehicle (10) on the basis of the signal strength curve (SV) and to add them to form a count value.

The invention belongs to the technical field of intelligent traffic control, and discloses a phase sequence-duration coordinated fine-grained artificial intelligence traffic signal control method and device. The method comprises the following steps: firstly, obtaining vehicle position and speed data of each entrance lane of a signalized intersection, dividing cells with gradual change lengths, collecting vehicle count and average speed in the cells, constructing a two-channel 3D traffic state tensor, and realizing fine-grained sensing; secondly, a Transform encoder is adopted to process a state tensor output global representation, a state value and a dominant function are subjected to parallel calculation based on a D3QN architecture, Q value overestimation is avoided through a double-Q network, and artificial intelligence decision optimization is completed; thirdly, introducing a priority experience playback mechanism, determining a sample priority and sampling according to a TD error, adjusting loss and optimizing training efficiency in combination with an importance weight, designing a phase sequence-duration coordination action pair, constraining the maximum green light duration and continuous expansion times of a straight-going / left-turning phase sequence, avoiding phase sequence hunger, and realizing fine-grained action control.

The invention relates to the technical field of radar, in particular to a data fusion method and device, and the method comprises the following steps: S1, completing lane division through employing a lane calibration automatic division method, and obtaining a lane division result; and S2, according to the lane division result, fusing the collected vehicle target data by using a split target fusion method to obtain fused vehicle target information, and completing the statistics of the traffic flow and the vehicle speed, thereby effectively solving the problem of large truck target splitting, and improving the vehicle counting accuracy.

The invention relates to a traffic vehicle counting method based on improved YOLOv8, and the method comprises the steps: introducing an LSKA attention mechanism to improve the YOLOv8 according to the image difference characteristics of passing vehicles; the counting method comprises the following steps: shooting passing vehicles at an urban road intersection, and preprocessing the shot videos to obtain a data set D1; an improved YOLOv8 neural network is constructed; inputting a training set in the data set D1 into the improved YOLOv8 network for training; verifying the trained improved YOLOv8 network by using a test set in the data set D1; and the trained model is optimized through a ByteTrack algorithm. According to the traffic vehicle counting method based on the improved YOLOv8, on the basis of an SPPF structure of a YOLOv8 network, an LSKA attention mechanism is introduced, feature extraction and fusion capabilities are increased, and the precision of recognition of passing vehicles is improved; and through a real road scene, the method is not influenced by environmental factors and complex weather and terrains, and the passing vehicles at the road intersection are dynamically tracked in real time.

The utility model provides an automatic metering device for a mine car, which belongs to the technical field of car counting, and aims to solve the problems that a camera at the top is easy to damage and the transportation is difficult in some extreme weathers due to the fact that a support upright post of the existing mine car counter is usually arranged higher. The first supporting rod is fixedly connected to the upper surface of the mounting seat; the second supporting rod is arranged in the first supporting rod; the camera is fixedly connected to the upper surface of the third supporting rod; the falling storage assembly is arranged in the first supporting rod and behind the second supporting rod; and the quick dismounting and mounting assembly is arranged below the camera. The second supporting rod and the third supporting rod can be rapidly retracted into the first supporting rod, the occupied size is small after storage, transportation is convenient, the camera and the third supporting rod are convenient to connect and detach, and the camera is convenient to overhaul.

The present invention discloses a device and method for rapid prediction and display of three-dimensional images of traffic thermal environment, comprising a 360° rotating camera, a temperature sensor, a wind speed sensor, an image acquisition module, a data processing module and a display. The 360° rotating camera is responsible for capturing real-time vehicle status images on the road; the image acquisition module is responsible for counting vehicles in the real-time vehicle status images; the temperature sensor is responsible for collecting the real-time air temperature around the road; the wind speed sensor is responsible for collecting the real-time wind speed around the road; the data processing module is responsible for processing the acquired data, generating a real-time high-resolution dynamic image of the traffic thermal environment of the road, and determining the average temperature; the display is responsible for displaying the real-time high-resolution dynamic image of the traffic thermal environment, or simultaneously prompting a "high temperature warning". The present invention solves the problem that traditional technologies are limited by the number of monitoring equipment and the cost of use, and can be applied to the prediction and display of three-dimensional images of any road traffic thermal environment.

The present application discloses a method, device, equipment and storage medium for intelligent identification and control of the slow charging scheduled charging function of an electric vehicle, which relates to the field of electric vehicle charging technology, including: obtaining predetermined feature information, vehicle time information and vehicle-mounted charging time; identifying the vehicle charging intention based on the predetermined feature information, the vehicle time information and the vehicle-mounted charging time to determine the vehicle count value; and controlling the vehicle to intelligently trigger the target charging process based on the vehicle count value. The present application intelligently identifies the user's charging intention and determines the vehicle count value, automatically triggering the target charging process, reducing the user's manual operations during the charging process, and automatically adjusting the charging strategy by learning the user's charging habits to adapt to the user's actual needs, thereby improving the intelligence and convenience of charging, and reducing the risk of after-sales complaints caused by misunderstandings. At the same time, it improves the flexibility of the charging strategy and user experience, making the charging process more personalized and convenient.