118 results about "Road traffic control" patented technology

The invention relates to a multi-mode large model and light-weight small model collaborative road surface ice condensation state prediction method, and belongs to the field of road traffic safety monitoring and prediction. The method aims at solving the problem that real-time early warning and accurate prevention and control are difficult in the prior art. According to the invention, a multi-modal data coding system is constructed, road surface monitoring images, meteorological time sequence data and historical ice condensation text cases are integrated, and feature fusion is realized by adopting visual-physical feature joint coding, meteorological time sequence feature enhancement and text semantic mining; a pseudo label is generated through large model zero sample reasoning, and a lightweight small model is trained through cross-modal knowledge distillation; and finally, on the basis of a dynamic trigger type double-model reasoning framework, calling a cloud large model for fine judgment when the small model is low in confidence coefficient or high in scene complexity, and outputting the icing starting moment and thickness through confidence coefficient weighted fusion. According to the method, the prediction accuracy and real-time performance are improved, the model generalization ability is enhanced, and reliable support is provided for road traffic control in winter.

The invention provides an AGV scheduling method and related equipment integrating path planning and traffic control, the method comprises the steps of obtaining task information, vehicle dynamic factors and topological map data of an AGV vehicle, the vehicle dynamic factors comprising a cargo state, a storage location state, spinning prohibition and point location prohibition; based on the task information, the vehicle dynamic factors and the topological map data, a depth deterministic strategy gradient network is adopted to optimize the weight, and an improved A star algorithm formed by the sum of basic cost and real-time congestion cost is adopted to plan the driving path of the AGV; continuously monitoring the running state of the AGV cluster in the process that the AGV runs based on the planned path; and conflict prediction is carried out based on the operation state of the AGV cluster, and traffic control is carried out on the AGV cluster by using a preset conflict prevention mechanism and a heuristic deadlock removing strategy. According to the method, vehicle dynamic factors are considered, an A star algorithm is optimized, traffic control is configured, and the AGV scheduling efficiency is improved.

The invention discloses a highway inspection unmanned aerial vehicle task planning monitoring system based on a knowledge graph, particularly relates to the technical field of unmanned aerial vehicle intelligent inspection, and is used for solving the problem that an existing system cannot generate a feasible decision scheme when an airspace control rule conflicts with an emergency timeliness requirement. The method comprises the following steps: constructing a knowledge graph integrating geographic no-fly zone space coordinates, an aging constraint time threshold and a traffic flow thermodynamic map layer, triggering a rule conflict state when detecting that an overlapping region exists between an aging constraint target position and a no-fly zone, and further fusing a real-time traffic control instruction and unmanned aerial vehicle maneuvering characteristic parameters to generate an elastic space domain; and after verification of a high-flow area overlapping rate threshold value or approval of a forced passing instruction, creating a temporary channel entity which covers the overlapping area coordinates and is associated with a time threshold value, and finally generating an inspection route which penetrates through a conflict area and meets a passing time limit based on the entity, thereby realizing coordination of dynamic rule conflict resolution and safety emergency inspection.

A computer-implemented method comprising the following steps: obtaining (600) an image timestamp indicating the time of acquisition, by a traffic control radar, of an image showing a vehicle's license plate, the image timestamp having been provided by a clock on the traffic control radar; obtaining (602) time synchronization data, said time synchronization data having been received by the traffic control radar during a predefined time interval including the image timestamp to temporally synchronize the clock of the traffic control radar with a time server; and consistency testing (604) of the image timestamp with the time synchronization data, the consistency test producing a test result indicating whether the image timestamp is valid or invalid. Figure for the abstract: Fig. 4

This invention discloses a global optimization method for differentiated traffic control measures that does not violate travel demand, relating to the field of intelligent traffic management technology, and includes the following steps: Step 1: Construct a global optimization framework for differentiated traffic control measures; Step 2: Define the urban traffic network and demand flow parameters; Step 3: Establish a mixed-integer linear programming model for optimizing road network flow distribution; Step 4: Consider factors such as flow demand, flow balance, and travel impedance, approximate the impedance function and objective function with secant lines, and construct constraints for the mixed-integer linear programming model; Step 5: Solve the model to obtain the optimal flow distribution result; Step 6: Obtain differentiated traffic control measures from the model based on the flow distribution result. This invention's method can construct a mixed-integer linear programming model that balances individual interests and overall efficiency based on the complex and diverse travel demands in large-scale urban road networks, design hierarchical control measures, and achieve synergistic optimization of control and path guidance, thereby improving the overall traffic efficiency of the road network.

The invention relates to the technical field of air traffic control, in particular to a multi-mode fusion real-time intelligent monitoring system for air traffic control command. According to the method, a three-dimensional intelligent analysis system of interface situation analysis-voice instruction recognition and understanding-air traffic control information fusion is constructed, and a safety monitoring closed loop of an air traffic control command whole process is realized on the premise that an existing system architecture is not changed; and real-time deduction and risk early warning of the airspace security situation are realized. The generated early warning information is synchronously pushed to a radar controller, an assistant controller and a main controller in a standardized visual and audio coding form through a newly-added safety information prompting module, a three-in-one cooperative cognitive space is constructed, the problem of information asymmetry among multiple seats and multiple on-duty roles in a traditional mode is effectively solved, and the safety of the system is improved. And important technical guarantee is provided for safe operation of civil and aviation pipes.

The invention relates to the technical field of data processing and logistics management, and discloses a cross-border e-commerce logistics order analysis and management system based on big data, and the system comprises a data obtaining module which is used for calculating and forming real-time state data; the potential energy calculation module is used for quantifying the state data into a regional logistics potential energy value; the risk identification module is used for monitoring the potential energy value change to identify a potential risk area; the risk matching module is used for comparing the current risk feature with a preset historical interrupt event feature fingerprint; and the strategy generation module is used for generating a self-adaptive intervention strategy accordingly. According to the method, the potential energy field model and the fingerprint database are constructed, so that the logistics risk is pre-judged in advance and accurately determined, invalid distribution caused by traffic control can be effectively avoided, the decision-making efficiency is improved, the customer recognition degree is guaranteed by generating an intervention strategy, and the analysis and management level of cross-border e-commerce logistics is systematically improved.

1. The name of the design product: traffic signal. 2. The use of the design product: used for municipal road traffic control, maintaining traffic order and improving traffic efficiency. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

An artificially intelligent air traffic control system is provided. The system can include an artificially intelligent (AI) sensor configured to detect and remotely communicate with one or more flying vehicles and an AI local server communicatively coupled to the AI sensor. The artificially intelligent local server can send control instructions including authorization for the one or more flying vehicles to fly in an airspace and a flight path to fly through the airspace. The system can also include an AI cloud server communicatively coupled to the AI local server. The AI cloud server can receive data from the AI local server and the AI sensor associated with the one or more flying vehicles. The AI local server can send the authorization and the flight path to the one or more flying vehicles via the AI sensor based on the received data stored on the AI cloud server.

An artificially intelligent air traffic control system is provided. The system can include an artificially intelligent (AI) sensor configured to detect and remotely communicate with one or more flying vehicles and an AI local server communicatively coupled to the AI sensor. The artificially intelligent local server can send control instructions including authorization for the one or more flying vehicles to fly in an airspace and a flight path to fly through the airspace. The system can also include an AI cloud server communicatively coupled to the AI local server. The AI cloud server can receive data from the AI local server and the AI sensor associated with the one or more flying vehicles. The AI local server can send the authorization and the flight path to the one or more flying vehicles via the AI sensor based on the received data stored on the AI cloud server.

The invention relates to the field of multi-robot cooperative scheduling, and discloses a multi-robot cooperative scheduling unmanned underground mechanical garage system and method, and the system comprises a hardware subsystem which comprises a transfer robot, a parking space frame, a vertical elevator, and an entrance and exit junction area; the control system is deployed in the central control server, and the control system comprises a multi-layer dynamic data grid generation module which is used for constructing a discretized data grid corresponding to a garage physical space; and the central data calculation module is used for continuously updating the data of each data layer in the multi-layer dynamic data grid according to the real-time state of the garage. In the regional congestion degree and traffic control layer, the congestion index is calculated according to the density, the speed variance and the dispersion in the movement direction of the transfer robot, and the task gravitation modulation coefficient is generated, so that the tendency of the robot to enter the crowded region is reduced, the adaptive dispersion of the traffic flow is promoted, and the continuity of garage operation is maintained.

A system for displaying a taxi clearance including a display is configured to display the position of an aircraft during airport taxiing with a first sensor for detecting the location of the aircraft during airport taxiing. The display indicates the position of hold stops and taxi paths at the airport. An input provides taxi instructions into the system. The input may be manually by the pilot or via a transmission from the air traffic control. The taxi instructions are represented on the display as a taxi path on the taxiways with a first hold stop identified on the route. The display indicates the aircraft's proximity to said hold stop.

The utility model discloses a mobile monitoring camera device, which comprises a quadrilateral conical cylinder and a monitoring camera, the monitoring camera is arranged at the top of the quadrilateral conical cylinder, a photovoltaic panel assembly is arranged on the outer wall of the bottom of the quadrilateral conical cylinder, a base is fixedly arranged on the outer wall of the bottom of the quadrilateral conical cylinder, and a camera is arranged on the base. A storage battery is installed in the base, and the photovoltaic panel assembly is connected with the storage battery through an inverter. The quadrilateral conical cylinder serves as a warning mark carrier and a camera supporting platform, cable laying is omitted, the limitation that traditional monitoring equipment depends on a fixed power source and a foundation is broken through, the device can be rapidly deployed to complex temporary road conditions, and the device is particularly suitable for traffic control, emergency disaster relief and other scenes needing rapid response. Visual deterrent force is formed through cooperation of the quadrilateral conical barrel and the camera, and passing vehicles or pedestrians are effectively reminded to go out safely in combination with the high-definition video recording and infrared night vision functions of the camera.

The utility model relates to traffic control's hydraulic lift column technical field, concretely relates to a traffic control's hydraulic lift column, through traffic control's hydraulic lift column still include the counterweight of lifting assembly, and the square hole is established on the upper surface of counterweight, square hole inner wall four corners all swing and connect with the connecting column side surface, the lifting hydraulic column output is fixedly connected with the connecting plate upper surface center, the lifting hydraulic column end fixedly connected with the top plate, the connecting column bottom fixedly connected with the mounting panel, the mounting panel lower surface fixedly connected with the universal wheel, obtain traffic control's hydraulic lift column when the hydraulic column telescopic, through the connecting plate drive connecting column and bottom mounting panel lift, realize the retraction of universal wheel, avoid the structure of lock piece possibly because outdoor environment leads to lockout malfunction, make the device fast switching between the moving state and the working state, realized the effect of the beneficial effect of obviously improving the response speed of traffic control and the deployment flexibility and the service life of mobile component.

The invention relates to a method for controlling a vehicle (14, 16) in a special situation where an escape route (32) is to be provided for an emergency vehicle (30) in a traffic area (10), in particular an intersection area, with a traffic system (22), wherein the traffic system (22) comprises at least one sensor (26) for monitoring the traffic area (10), a communication device (28) for establishing a communication link (30) with the vehicle (14, 16), and a controller (24) for generating driving instructions for the vehicle (14, 16), wherein the driving instructions can be sent to the vehicle via the communication link (30), wherein the road users (12, 14, 16, 18) and their movements in the traffic area (10) are detected by the traffic system (22), wherein the method comprises the following steps: e) Identifying a special situation in which an escape route (34) for an emergency vehicle (32) is to be provided, f) Creating a prediction of the driving behavior of road users (12, 18) taking into account a behavior prediction provided to the controller (22), in particular stored in the controller (22), for the road users (12, 18) present in the traffic area, g) Creating a driving instruction for the vehicle (14, 16) to provide the escape route (34) taking into account the created prediction of the driving behavior of the road users (12, 18) and sending the driving instruction to the vehicle (14, 16). The invention further relates to a traffic system (22) which can carry out such a method.

A road traffic control method and system. The method comprises: acquiring real-time traffic change information on a road and the real-time position of a vehicle, and acquiring a navigation route selected by a vehicle-mounted terminal; on the basis of the traveling of the vehicle and change information of traffic conditions, planning multiple updated navigation routes from the current position of the vehicle to a destination, and analyzing durations of the multiple updated navigation routes and the currently selected navigation route; and recommending, to the vehicle-mounted terminal in a timely manner, an updated navigation route having the shortest duration. Navigation routes can be changed along with changes of current traffic conditions, so that vehicles can avoid congested road sections and reach destinations as quickly as possible; by planning new navigation routes, vehicles can also be diverted to different road sections, thereby achieving dynamic allocation for congested road sections and uncongested road sections, improving the effective utilization rates of urban roads, and enabling urban traffic systems to be in a benign operation state.

This invention discloses a UAV airport control area delineation system and intelligent switch cabinet based on BeiDou positioning. The invention relates to the field of UAV air traffic control technology and includes: a central control platform, a distributed intelligent switch cabinet cluster, and a distributed spatiotemporal command fusion system. The central control platform dynamically generates a geofencing rule set containing polygon vertex coordinates and control status identifiers based on BeiDou positioning data. This UAV airport control area delineation system and intelligent switch cabinet based on BeiDou positioning realize the conversion of geofencing rules into physical control commands: localized rule parsing by the edge decision module eliminates compilation delays at the central end; a spatiotemporal dual verification mechanism ensures the timeliness and authenticity of commands; and a dual-channel transmission network maintains reliable command reachability in complex electromagnetic environments. It solves the control lag problem caused by network latency, clock out-of-sync, and state asynchrony, enabling the precise implementation of critical control actions such as sudden no-fly orders.

A system to assess the current, or future workload of a pilot and automatically providing annunciation when needed to the pilot, as well as to resources that support the pilot. The system may automatically, and without pilot involvement, assess the workload for the pilot based on incoming events and abnormal scenarios. The predicted incoming events may be related to operation data, such as navigation information, weather, traffic avoidance, and so on. The system may also detect abnormal scenarios, such as engine warnings, fuel or other aircraft issues. The system may determine whether the predicted incoming events or the abnormal scenario satisfies one or more pre-defined criteria. Based on the event satisfying one or more criteria, the system may output an annunciation to either the pilot, resources that support the pilot, such as an additional pilot and air traffic control (ATC).

The invention provides a real-time verification system for operators of aircraft, vehicles, and other modes of transportation for safety and security before commencing travel. The system comprises a processing device installed in the preferred mode of transportation, and includes a processor, memory, and an AI model. The processor integrates modules for receiving biometric data (fingerprint, facial, or retinal scans), verifying identities against a cloud database of operator data and the Terrorist Screening Database (TSDB), and communicating results to Air Traffic Control (ATC). The AI model performs advanced analytics, monitoring verification data against comprehensive databases, and predicting potential issues by analyzing historical trends. It generates detailed reports and alerts for ATC and other authorities, contributing to both immediate safety and long-term improvements. This system ensures that only authorized operators can control the vehicle while fostering ongoing safety enhancements through predictive analytics and trend identification.

The application provides a controller CBTA evaluation system and method based on a multi-dimensional competency model. A first air traffic control task is input by an input module. The first air traffic control task includes multiple task stages and multiple sets of task parameters. Each task stage corresponds to a set of task parameters. A loading module loads a multi-dimensional competency model. The multi-dimensional competency model includes multiple competency models. A data acquisition module is configured to obtain multiple sets of historical assessment data corresponding to multiple air traffic controllers according to the multiple task stages and the multiple sets of task parameters. An evaluation module determines multiple evaluation results according to the multiple task stages, the multiple sets of task parameters, the multi-dimensional competency model, and the multiple sets of historical assessment data. An output module selects a target evaluation result according to the multiple evaluation results and outputs a target air traffic controller corresponding to the target evaluation result. The corresponding controller can be dynamically matched based on the task itself, so that the controller CBTA evaluation is more intelligent.

The utility model relates to the technical field of tunnel maintenance, in particular to a highway tunnel waterproof and drainage system maintenance facility which comprises a plurality of transverse channels transversely formed in the side wall of a tunnel and arranged at intervals in the longitudinal depth direction of the tunnel; the vertical shaft section is arranged underground the transverse channel, the upper opening end of the vertical shaft section is a maintenance entrance, the entrance is flush with the ground of the transverse channel, and a movable cover plate covers the entrance; the adit section is connected to the lower end of the vertical shaft section, extends to the central drainage ditch and communicates the vertical shaft section with the central drainage ditch, and the longitudinal drainage pipes and the drainage side ditches are respectively communicated on extension paths; compared with the prior art, the tunnel drainage facility inspection device has the advantages that the inspection channel is arranged on the basis of the transverse channel, inspection space is provided for the ascending channel and the descending channel at the same time, an inlet of the inspection channel is formed in the transverse channel, traffic control is not needed in the inspection process, and the convenience and safety of tunnel drainage facility detection are improved.

This invention discloses a traffic control method and system for an inspection robot and an electric shuttle bus. The method includes: S1. collecting laser ranging data of the wheel axle cross-section of the electric shuttle bus; S2. performing large-step sliding median filtering; S3. filtering valid data segments containing axle data; S4. extracting valid data segments and performing small-step sliding median filtering on them; S5. calculating the mode of the amplitude in the valid data segments and replacing abnormal amplitudes exceeding a preset threshold with the mode; S6. identifying abrupt change points in the wheel axle profile in the valid data segments; S7. filtering abrupt change points; S8. calculating the position and forward speed of the electric shuttle bus; S9. transmitting the position and forward speed of the electric shuttle bus to the robot scheduling system; S10. making traffic control decisions based on the real-time position and speed prediction results of the electric shuttle bus and the real-time task path of the robot. This invention has advantages such as improved operational efficiency and safety.

The invention discloses a road traffic command set which comprises a transparent shell, the left side and the right side of the transparent shell are open, the left side and the right side of the transparent shell are connected with side plates through bolts, a bottom plate is connected to the position, close to the bottom, between the two side plates through bolts, and the top of the transparent shell is connected with a top plate through bolts. A supporting cylinder is arranged in the transparent shell, the bottom of the supporting cylinder is connected with the bottom plate in a penetrating mode, and an electric cylinder is connected to the bottom of an inner cavity of the supporting cylinder through bolts. Through mutual cooperation of the electric cylinder, a lifting plate, a rotating motor and other components, the height and direction of the standing table can be conveniently adjusted; therefore, the traffic police can carry out convenient reversing command, the command efficiency of the traffic police is improved, and meanwhile, effective ventilation can be carried out, so that the traffic police can feel comfortable in hot weather, and the use efficiency and the working efficiency of the traffic police are improved.

The application provides an intelligent manufacturing resource plan management system, comprising a data acquisition module for acquiring multi-type resource data of an intelligent manufacturing whole process.The application has reasonable design, realizes global collaborative control of multiple AGV devices through a resource scheduling module, plans a path in combination with an intelligent optimization algorithm, cooperates with a traffic control unit to sort the passing of single channels and forbidden head-on driving areas, effectively avoids AGV collision and congestion problems, and greatly reduces path redundancy.Meanwhile, resources are dynamically allocated based on logistics task priorities, the accuracy and reliability of multi-AGV data communication are guaranteed in combination with a TCP protocol, logistics task information is interacted in real time with an MES system through a WebService interface, the timeliness and accuracy of material distribution are ensured, the labor cost of enterprise internal material turnover is significantly reduced, and the overall operation efficiency of the workshop logistics link is improved.

The present application relates to a kind of multi-modal large model and light small model collaborative road surface ice state prediction method, belong to road traffic safety monitoring and prediction field.The method aims to solve the real-time early warning and accurate prevention and control difficult problem caused by prior art.The present application constructs multi-modal data coding system, integrates road surface monitoring image, meteorological time series data and historical ice text case, realizes feature fusion using visual-physical feature joint coding, meteorological time series feature enhancement and text semantic mining;And use large model zero sample inference to generate pseudo label, train light small model through cross-modal knowledge distillation;Finally based on dynamic trigger type double model inference framework, call cloud big model accurate judgment when small model low confidence or high scene complexity, output ice starting time and thickness by confidence weighted fusion.The present application improves prediction accuracy and real-time, enhances model generalization ability, provides reliable support for winter road traffic control.

The utility model discloses an operation road signboard, and particularly relates to the technical field of material transfer, the operation road signboard is provided with a base, a rotary supporting seat and a signboard body, the base is installed on a road and located on one side of a traffic lane, the rotary supporting seat is installed on the base, and the signboard body is installed at the top end of the rotary supporting seat. The rotary supporting seat is arranged on the base, one side face of the signboard forms a sign face, the rotary supporting seat can drive the signboard to rotate relative to the base, so that the sign face can be switched between a first state facing a traffic lane and a second state coinciding with the traffic lane in the first direction, and the arranged rotary supporting seat can be used for driving the signboard to rotate. The sign surface can be switched between the first state facing the traffic lane and the second state coinciding with the traffic lane in the first direction, the sign surface does not need to be arranged in the vehicle coming direction all the time, and the function of normally controlling the road when traffic control needs to be conducted on the road is achieved. And the purpose of ensuring the normal operation of the road without traffic control on the road can be achieved.

A robotic traffic flagger device with autonomous operation, comprising: at least one motorized mobile platform; at least one sensor that collects environment data; and a navigation module that controls the at least one motorized mobile platform to autonomously navigate the robotic traffic flagger device based on the environment data. The robotic traffic flagger device may further autonomously navigate the robotic traffic flagger device based on a workflow within a traffic control zone. The robotic traffic flagger device may further include an environment monitoring module that generates instructions for the automated flagger assistance device to control vehicle traffic within a traffic control zone based on the environment data; and at least one signaling device to control the vehicle traffic within the traffic control zone.

To provide a moving body control device, a moving body control method, and a moving body control system capable of appropriately sharing each control task of a plurality of moving bodies among a plurality of controllers.SOLUTION: The vehicle control device 100 includes a workload calculation section 105 that calculates a workload of each control operation of the plurality of flying objects 30-1 to 30-m for each flight phase included in the flight plan 102 of the plurality of flying objects 30-1 to 30-m, a control operation assignment section 106 that assigns each control operation of the plurality of flying objects 30-1 to 30-m to the plurality of controllers 10-1 to 10-n based on the workload for each flight phase and the person-in-charge information 104 of the plurality of controllers 10-1 to 10-n, and an assignment information outputting section 107 that outputs the control operation assigned to each of the controllers 10-1 to 10-n to the terminal 20-1 to 20-n possessed by each of the controllers 10-1 to 10-n.SELECTED DRAWING: Figure 2

The application discloses a traffic flow monitoring method and system for a traffic control point, and relates to the technical field of intelligent traffic, and the method comprises the following steps: configuring a monitoring device at the traffic control point, wherein the monitoring device comprises an image acquisition device and a radar device; collecting video images of the traffic control point through the image acquisition device, and collecting radar data of the traffic control point through the radar device; performing feature extraction based on the video images and the radar data, performing multi-dimensional traffic flow change analysis according to a fusion traffic flow related feature set obtained, and dynamically adjusting signal light timing according to a predicted traffic flow change trend to generate a dynamic traffic scheduling scheme. The application solves the technical problems that the existing traffic flow monitoring data source is single, the dynamic response capability is insufficient, and the traffic passing efficiency and safety are low, and achieves the technical effects that the multi-dimensional traffic flow monitoring and signal light timing adjustment are realized through the fusion of image and radar data, and the traffic passing efficiency and safety are improved.

This item is a vest worn by traffic controllers at road construction sites and other locations. This item is designed to store a dedicated portable traffic signal light in a compartment on the inside of the front panel, and a mobile battery in a compartment on the outside of the back panel. The item has openings on both sides, and by unbuckling the adjustment belts on both sides, it can be unfolded into a single piece of fabric, making it easy to store the dedicated portable traffic signal light in the internal compartment of the front panel. Because this item is made of mesh fabric, the highly directional LED light passes through the mesh fabric while being moderately diffused, allowing the light of the LED portable traffic signal light to be clearly visible from the outside without the need for a transparent section on the front. Traffic controllers wearing this product can switch the display of the portable traffic signal light between red, off, and blue by toggling a hand switch with a single circuit and two contacts with a center point located in the power cord (not shown) connecting the portable traffic signal light and the mobile battery, thereby guiding people and vehicles to stop or proceed.