21 results about "Traffic intersection" patented technology

The application discloses a traffic intersection traffic light control method, including collecting real-time data, presetting pedestrian quantity range, presetting vehicle flow length range, calculating special vehicle intersection, special vehicle active regulation communication light, traffic accident dredging. The application obtains the latitude and longitude coordinate information of the special vehicle position and the latitude and longitude coordinate information of the intersection center position captured by the corresponding Beidou positioning equipment of the vehicle detector through the signal control machine, calculates the special vehicle driving path intersection, controls the traffic signal lamp of the special vehicle driving direction intersection to be green by the signal control machine, timely opens the green channel for the special vehicle, provides more efficient and safe driving route for the special vehicle, improves the emergency response speed and rescue efficiency; according to the vehicle flow and the pedestrian flow, the traffic intersection traffic light is regulated, the change of the traffic flow can be responded in real time, and the road traffic capacity and the traffic management level are improved.

The application provides a traffic participant trajectory prediction method, comprising: preprocessing a historical trajectory sequence to obtain a space-time category graph; encoding a time sequence of a to-be-predicted pedestrian to obtain a pedestrian time sequence hidden state; learning an interaction influence of different category intelligent agents on the pedestrian from the space-time category graph; learning interaction weight information of different intelligent agents in a surrounding area of the to-be-predicted pedestrian; splicing the above three feature vectors into a hidden vector of a specific dimension; encoding the hidden vector, splicing the obtained encoding vector with Gaussian noise, and decoding the obtained splicing vector into a Gaussian distribution parameter vector of a future trajectory as an output of trajectory prediction. The application not only considers the time and space interaction features of traffic intersection intelligent agents, but also fully utilizes the state category information of the traffic intersection intelligent agents, so that the prediction accuracy on an experimental data set is greatly improved, and good stability is shown.

The application belongs to the technical field of intelligent traffic, and specifically discloses an intelligent traffic management and control method, system and program product, which extracts image ROI and detects moving targets through collecting monitoring image sequences of each traffic direction at an intersection, so as to determine the moving target information in the corresponding interval, then establishes the moving track of each moving target to calculate the congestion index of the corresponding traffic direction, and finally determines the green light passing time of each traffic direction according to the comprehensive congestion index of each traffic direction, so as to realize fine and dynamic adjustment of the signal light time of the traffic intersection. The application allocates the signal light time of the intersection based on the congestion index, can more accurately determine the congestion of each traffic direction at the traffic intersection, makes the signal light timing capable of responding to the change of the traffic demand of each direction in real time, significantly improves the overall passing efficiency of the intersection, and is highly adaptable, can comprehensively evaluate the congestion of the vehicle flow and the pedestrian flow, and is suitable for mixed traffic scenes.

The present application belongs to the field of traffic technology, and particularly relates to a method and system for analyzing average traffic flow at an intersection and a storage medium. First, a traffic flow monitoring platform is constructed, and traffic flow monitoring devices are arranged at each intersection according to a preset device arrangement method. Then, the traffic flow monitoring devices are connected to vehicle terminals at each intersection, real-time data and recent data of the vehicle terminals at each intersection, as well as real-time flow data and recent flow data are obtained, and transmitted to the traffic flow monitoring platform. The obtained data is input into a traffic average flow model in the traffic flow monitoring platform for training and verification, and a trained traffic average flow model is output. Finally, the trained traffic average flow model is used to generate average flow data of the current period at the intersection. The present application can solve the problems of high cost and difficult maintenance in the analysis of average traffic flow at an intersection in the existing traffic management process.

The application provides an intelligent traffic control method based on mobile object position prediction, which comprises the following steps: adopting a YOLOv8 target detection framework and a DeepSORT cross-frame tracking algorithm to extract a structured trajectory dataset of mobile objects mainly including pedestrians and vehicles in a video; performing space-time coding on historical trajectories to construct a space-time sequence input available for a model; capturing motion trend features through a time attention branch and quantifying the spatial interaction relationship between mobile objects through a spatial attention branch; constructing a multi-factor interaction force function model; fusing the space-time attention features and social force constraints to initialize an LSTM decoder; injecting Gaussian noise in the decoding process to sample and generate multiple candidate trajectories; converting the predicted trajectories into a traffic heat map at a road intersection, and automatically generating a congestion warning and a signal light control instruction when the traffic exceeds a threshold value. The application has high prediction accuracy and strong robustness, and can be effectively applied to intelligent control and congestion warning at a traffic intersection.

The present application relates to the technical field of intelligent transportation, in particular to a wireless self-organizing network dual-network redundancy communication device for traffic intersection. The device comprises a data aggregation processing terminal, containing a wired network communication module, a wireless self-organizing network communication module, a link quality evaluation and optimization unit, and a link detection and switching unit. Multiple intersection devices automatically form a wireless local area network through the wireless self-organizing network communication module. Transmission delay time, packet loss rate and hop count between the device and adjacent intersection devices are measured at a preset period or when the network topology changes, and the optimal second communication link is selected through a weighted comprehensive evaluation model. When the wired network is interrupted, the device automatically switches to the wireless link and transmits to the background server through the optimal path and multi-hop of adjacent intersections. The present application realizes wired and wireless dual-network redundancy backup, guarantees the real-time and reliability of data transmission through the weighted optimization algorithm, and is suitable for high-reliability scenarios such as traffic signal control.

1. Name of the product in this design: Graphical User Interface for Traffic Intersection Management in Electronic Equipment. 2. Intended use of this design: for use in electronic devices. 3. The key design features of this product are its graphical user interface content. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: The graphical user interface is used for traffic intersection management. 6. Human-computer interaction method of graphical user interface: The main view is the main page for traffic situation visualization, real-time monitoring of equipment status, and traffic flow management at the intersection. Refer to the main view interface change status reference diagram. By clicking the "View" button in the "Asset List" in the main view, you can enter the interface change status diagram 1, which displays the distribution and status of traffic flow (speed, traffic volume, etc. are indicated by different colors), traffic lights, signal controllers, and other equipment at the intersection. Refer to the interface change status reference diagram 1. By clicking the "Intersection Information" drop-down information in the interface change status diagram 1, you can enter the interface change status diagram 2, which displays a page where you can select a time period to view traffic data such as average vehicle speed and traffic volume. Refer to the interface change status reference diagram 2.

This invention discloses a method and system for recording and playing back digital twins of traffic intersections using multi-source state aggregation. The backend establishes two long connections for each intersection: one for light status and one for traffic flow. These connections are merged into a unified record by second and distributed to each client via a message queue. The recording module reuses this record, compressing and storing it as a gzip file in NDJSON format according to a four-level directory structure: "intersection / date / hour / 5 minutes". During playback, the corresponding segments are decompressed, and the timestamps of light status and traffic flow are precisely aligned by second. The timestamps are returned progressively by segment number, enabling simultaneous downloading and playback, as well as index positioning. The channelization map is rendered using Canvas, mapping light status to light color animations and traffic flow to vehicle positions. Data integrity is visually queried using a heatmap matrix. This invention solves the problems of frontend direct connection performance, playback timestamp misalignment, and imperceptible loading progress. It also features low storage costs and supports long-term, accurate playback.

A method and apparatus for level of service assessment at signalized intersections is disclosed. In an exemplary embodiment, a method for estimating an average delay per vehicle at a signalized intersection with a traffic signal, including sampling vehicle arrival rates at the signalized intersection, sampling vehicle departure rates at the signalized intersection, analyzing generated shock waves at the traffic signal, wherein the traffic signal shock wave is a change in vehicle density due to changes in the traffic signal, and estimating the average delay per vehicle based on the vehicle arrival rates, the vehicle departure rates, and the traffic shock waves at the signalized intersection.

This application discloses a traffic intersection passage method, device, electronic device, and storage medium. The method includes: acquiring the trajectory planning information of a vehicle and determining the target vehicle corresponding to the vehicle at the current traffic intersection based on the trajectory planning information; acquiring the set of lane connection lines corresponding to the target vehicle based on the trajectory planning information of the vehicle and local high-precision map data; constructing a virtual lane corresponding to the vehicle based on the trajectory planning information of the vehicle, and constructing a set of virtual lanes corresponding to the target vehicle based on the set of lane connection lines; determining the conflict passage area corresponding to the vehicle at the current traffic intersection based on the virtual lanes corresponding to the vehicle and the set of virtual lanes corresponding to the target vehicle; determining the time when the vehicle and the target vehicle arrive at the conflict passage area, and determining the passage strategy of the vehicle at the current traffic intersection accordingly. The traffic intersection passage method of this application has higher accuracy with low computing power requirements, ensuring the safety of vehicles passing through traffic intersections.

The application discloses a MESH self-organizing network-based image quality enhancement method and system, and relates to the technical field of self-organizing network image processing. The MESH self-organizing network-based image quality enhancement method comprises the following steps: node data acquisition delay error evaluation; signal collision delay error evaluation; and link breakage delay error evaluation. Whether to perform detection node optimization is determined according to the data acquisition delay error result, whether to perform route signal transmission power fraction optimization is determined according to signal collision data for signal delay error evaluation, and whether to perform link gain optimization is determined according to link breakage data for link delay error evaluation, so that the accuracy of real-time passenger flow image analysis at a smart city traffic intersection is improved, and the problem that the accuracy of real-time passenger flow image analysis at a smart city traffic intersection is not high due to the delay of MESH self-organizing network route switching caused by node image data in the multi-hop transmission process in the prior art is solved.

The utility model relates to the technical field of mining equipment, especially relates to a mine intelligent red -green light control system based on radar sensor, and the mine intrinsic safety type display screen is installed at the underground traffic intersection of the bend and is red -green light, the ground near the mine intrinsic safety type display screen on the road is drawn with the stop line, and the mine intrinsic safety type radar sensor, the mine intrinsic safety type camera and the mine intrinsic safety type alarm are sequentially arranged on the side of the stop line. The utility model has the beneficial effects that: the utility model can solve the traffic problem of various intersections such as the mine intersection, U-shaped intersection bend and crossroad.

This disclosure provides a traffic control method and related equipment. The method includes: acquiring global traffic information associated with a target traffic intersection or a target public transportation vehicle; acquiring target public transportation vehicle information at the target traffic intersection, wherein the global traffic information indicates information from multiple traffic intersections associated with the target traffic intersection; determining priority passage information for the target public transportation vehicle at the target traffic intersection based on the global traffic information and the target public transportation vehicle information; and transmitting the priority passage information to a traffic signal controller at the target traffic intersection, wherein the priority passage information instructs the traffic signal controller to control the target traffic signal equipment at the target traffic intersection according to the priority passage information. This disclosure can be applied to the transportation field and can balance overall traffic efficiency and the priority passage of public transportation.

This invention discloses an autonomous driving decision-making method and system based on deep reinforcement learning at port mixed traffic intersections, relating to the field of autonomous driving technology. It includes: acquiring real-time state information of autonomous driving transportation equipment in a port mixed traffic intersection environment; heterogeneously fusing the real-time state information into a state vector for the autonomous driving transportation equipment; constructing a reinforcement learning decision-making model based on deep reinforcement learning (DDPG); building a port traffic environment simulation platform; training the DDPG-based reinforcement learning decision-making model; and embedding the trained DDPG-based reinforcement learning decision-making model into the onboard computing unit of the autonomous driving transportation equipment to control the operation of the autonomous driving transportation equipment. This invention can improve the traffic efficiency, stability, and safety of autonomous driving transportation equipment at port intersections, promote the unmanned transportation process in port mixed traffic scenarios, and reduce terminal renovation and operating costs.

This invention relates to a traffic signal control method based on spatiotemporal attention and safety constraints, comprising: acquiring real-time traffic state data of traffic intersections and constructing state vectors; constructing a spatiotemporal graph convolutional network to predict traffic flow and obtain future traffic flow prediction values; utilizing a spatiotemporal attention gating mechanism with conservative cold start, dynamically weighting the future traffic flow prediction values ​​with confidence to generate enhanced state representations; outputting optimal signal phase actions; performing legality verification and logical correction on the optimal signal phase actions, and outputting safe execution signal phase actions; constructing a composite reward function to calculate multi-objective composite reward values, and using these composite reward values ​​to update the weight parameters of a dual-input deep Q-network to achieve real-time closed-loop adaptive control of the road network signal. This invention improves the physical executability, training stability, forward-looking response capability, and control adaptability under complex traffic scenarios of traffic signal control strategies.

This invention discloses a crash barrier, belonging to the field of traffic facility technology. The crash barrier includes a base for counterweight, with a column fixed or inserted onto the base. At least one cylindrical body for crash protection and energy absorption is fixedly or rotatably mounted on the column. The base can be a one-piece molded structure or a hollow shell structure filled with counterweight material. The cylindrical body has an elastic structure or energy-absorbing structure inside. Warning and data collection modules and signs can be installed on the column. This invention features a modular design for easy installation, maintenance, and component replacement; multiple base structures adapt to different scenarios; stable counterweight resists displacement; a multi-stage energy-absorbing structure significantly improves the crash protection effect; and integrated sound and light warning and information collection functions result in a high degree of intelligence, making it suitable for traffic intersections, guardrail ends, and other locations.

A method for generating an electronic road map with classification information for a traffic junction. The method includes: receiving position information of a spatial region of an electronic road map that includes a traffic junction; receiving position data from a plurality of vehicles driving through the traffic junctions; classifying the traffic junction using a classifier module based on the position information of the spatial region that includes the traffic junction and based on the position data from the vehicles driving through the traffic junction. The classifying includes identifying the traffic junction as a roundabout if at least a predefined number of position histories in the plurality of position histories exhibit a predefined curve profile. The method further includes adding classification information for the traffic junction to the electronic road map and generating the electronic road map with classification information.