171 results about "Road traffic safety" patented technology

The invention discloses an anti-skid performance evaluation method for an anti-skid texture structure on an ice body surface, and the method comprises the following steps: S1, obtaining ice body surface micro texture data and environment condition data, the ice body surface micro texture data comprises surface roughness, texture distribution density and texture depth, and the environment condition data comprises the surface roughness, the texture distribution density and the texture depth; the environment condition data comprises environment temperature, humidity, wind speed and vehicle passing frequency. The invention relates to the technical field of traffic safety. By acquiring ice body surface micro-texture and environmental condition data, constructing a double-model collaborative prediction mechanism and combining real-time data comparison and error correction, the limitation that in the prior art, it is difficult to dynamically capture the influence of micro-texture change on the anti-skid performance is solved, and the ice body surface micro-texture dynamic change is monitored in real time; in combination with environmental factors and vehicle traffic data, the real-time performance and accuracy of anti-skid performance evaluation are improved through dual-model collaborative prediction and error correction.

The application discloses a kind of single vehicle control methods based on scene style migration and SAC network cooperation, including steps: S1, using SUMO tool to build simulation platform;S2, construct single vehicle longitudinal control model, SAC network is used to obtain traffic state from simulation platform, then take action control vehicle behavior, after action execution, agent receives the reward value updated agent parameter that simulation platform feedback;S3, define policy network, output the numerical value of acceleration;Define value function network, output layer represents the estimation of state value;S4, through the vehicle control experimental platform built in call SUMO to simulate different weather conditions, and build measurement model;S5, on the basis of single vehicle longitudinal control model build migration learning framework;S6, using migration learning will train convergent single vehicle longitudinal control model to be transplanted to different weather conditions and train.The application can effectively inhibit traffic stop and go wave, ensure traffic safety, reduce fuel consumption.

This application discloses a vehicle regulation method and related equipment, belonging to the field of traffic safety technology. The method includes: acquiring first road information of a non-bus lane and second road information of a bus lane within a target road segment; predicting a first driving speed of a non-bus in the non-bus lane based on the first road information; predicting a second driving speed of a non-bus in the bus lane based on the second road information; generating a regulation strategy based on the first and second driving speeds and sending a regulation command to a target vehicle, wherein the target vehicle is any non-bus within the target road segment. This method considers the impact of different road conditions on vehicle driving, making the generated regulation strategy more reasonable and improving road utilization.

This utility model provides a traffic safety guidance device for highway maintenance construction, including an indicating mechanism and a support mechanism, which are detachably installed together. The indicating mechanism includes an indicator sign, and two support frames are symmetrically arranged on the bottom back of the indicator sign along its central axis. Each support frame has an n-shaped end, and a fastening key is installed on the n-shaped structure. A support rod mounting hole is provided at the center of the bottom of the indicator sign. In use, by providing a support rod mounting hole at the bottom of the indicator sign, the indicator sign can be connected to the support mechanism through the support hole, allowing it to be installed on the road surface. After disassembling the support mechanism, the indicator sign can be secured to a fence using the support frame and fastened with the fastening key. Alternatively, the indicator sign can be fixed to a flat surface by using screws in conjunction with the support hole. This adaptable method improves the ease of installation according to the construction environment.

This traffic safety support system includes: a warning device equipped with an alarm and mounted on a light vehicle; and a traffic safety support device. The traffic safety support system is configured as follows. The traffic safety support device can access big data including traffic volume information associated with a position on a map. The warning device is capable of directly or indirectly communicating with the traffic safety support device, and issues a warning from the alarm, according to the position information of the light vehicle on which said warning device is mounted, said position information being transmitted to the traffic safety support device, and to the risk level obtained from the big data. Thus, using a warning device that can be mounted on a light vehicle such as a bicycle makes it possible not only to notify the driver of said light vehicle of the risk that an accident that may occur nearby, but also to reduce the risk of an accident involving said light vehicle.

The present application relates to the technical field of dynamic assessment of traffic safety risk, in particular to a method for dynamic assessment and intelligent management and control of expressway traffic safety risk. The present application utilizes the parallel computing characteristics of LightGBM, combines edge computing nodes, and realizes millisecond-level risk inference. The present application takes the three-level risk label as the basis for label generation, simultaneously utilizes SHAP to discover the blind area not covered by the rules, and reversely optimizes the rule library. Thus, the present application realizes real-time risk quantification, hierarchical early warning and dynamic intervention on the vehicle behavior in the complex traffic flow of the expressway.

This invention provides a dynamic anti-glare highway lighting guardrail system, method, electronic device, and medium, relating to the field of highway traffic safety facilities technology. The system includes a guardrail body, a target detection module, lighting units, a main control unit, and a power supply module. The target detection module is mounted on the guardrail body, facing the direction of oncoming road targets, and collects the target's position and movement parameters in real time. The lighting units are arranged at intervals along the guardrail and can be independently adjusted, with the light emission direction adapted to the traffic direction and at a preset tilt angle relative to the road surface, focusing on the road surface. The main control unit connects each module and dynamically adjusts the working state of the corresponding lighting units based on the collected target information, forming an anti-glare adaptation area that moves synchronously with the target. The power supply module provides stable power. This application can achieve precise and dynamic anti-glare, balancing lighting effect and energy saving requirements, is easy to install and maintain, adaptable to various road scenarios, and improves nighttime driving safety.

The utility model relates to road traffic safety facilities technical field, concretely for the interchange overpass ring line ramp split bifurcation anti-overturning structure, including the base fixed on the ground, the base top front side is hinged to install a vertical board through the hinge shaft, the base top is fixedly installed with one for the inclined bracing plate of vertical board support, the vertical board front side is equipped with a support plate, the vertical board front side outer wall corner all are fixedly installed with one damper, the utility model discloses the base is fixed with the ground, utilizes the hinge shaft to realize the hinged installation of vertical board, and cooperates the support of inclined bracing plate, forms the stable basic structure. The damper, buffer spring and foam aluminum buffer pad, high elastic rubber buffer pad of vertical board front side constitute multistage buffer system, can effectively absorb and disperse the energy that vehicle impact produces, reduces the harm of impact force to vehicle and passenger. The top protection board can prevent the vehicle from climbing, further improves the security.

The application discloses a highway pavement temperature inversion method and system fusing meteorological and traffic information, and the method comprises the following steps: acquiring meteorological information and traffic information of a target highway section, performing time synchronization, space matching and preprocessing on multi-source data, and constructing an inversion input dataset; performing feature extraction on meteorological information, road category information and traffic time series information based on a multi-input branch neural network, comprehensively processing in a fusion layer, and establishing a pavement temperature inversion model; introducing a physical loss function with embedded energy balance constraints in the model training process to enhance the physical consistency of the inversion result; and using the trained model to perform inversion calculation on the pavement temperature of the target section at the corresponding time. The method can comprehensively consider the differences between meteorological conditions and road operating environments, improve the accuracy and stability of pavement temperature inversion, and is suitable for highway pavement temperature monitoring and traffic safety guarantee.

The utility model relates to the technical field of anti -collision column structure, concretely is a kind of anti -collision column structure for road traffic safety, it has the characteristics of improving practicability, including fixed base and anti -collision bottom column, fixed base is provided with multiple mounting holes, the upper portion of anti -collision bottom column is provided with inner chamber, the upper portion of inner chamber is penetrated the upper portion end surface of anti -collision bottom column, inner thread is equipped on the inner wall of inner chamber, and threaded connection has connecting pipe, the upper portion of connecting pipe is fixed and is equipped with heightening anti -collision column, the upper portion of heightening anti -collision column is provided with another inner chamber, the upper portion of another inner chamber is penetrated the upper portion end surface of heightening anti -collision column, another inner thread is equipped on the inner wall of this inner chamber, for connecting other connecting pipe, install multiple heightening anti -collision columns on anti -collision bottom column.

The application discloses a CAV speed guiding system based on deep reinforcement learning, which comprises the following steps: a vehicle-mounted system detects vehicle driving data and vehicle state information data; a roadside monitoring system detects driving environment, vehicle information data on different roads and pedestrian information data, matches the pedestrian and vehicle information data with a lane-level road link to obtain a data packet; a vehicle-road cooperation cloud computing center processes and stores the received data, and sends the processed data to a mobile edge computing center; the mobile edge computing center comprehensively evaluates road accident risks, constructs a Markov decision process and a speed guiding model of a multi-target additional reward function, calculates an optimal guiding speed of a CAV by using the multi-target additional reward function, and sends the optimal guiding speed of the CAV to the vehicle-mounted system. The communication delay problem is solved; a multi-target environment reward mechanism is comprehensively integrated, and the guiding speed of the CAV is improved in terms of traffic safety, stability and passing efficiency.

This application discloses a method, apparatus, storage medium, device, and vehicle for recognizing traffic light colors, relating to the field of traffic technology. It addresses the problem of traffic safety issues arising from the inability to identify false detections when using machine learning-based traffic light recognition algorithms. The method includes: acquiring color recognition result pairs of target traffic lights based on traffic light images, where the target traffic lights include turn signals and straight-ahead lights; determining the intersection type of a target intersection by judging whether each color recognition result pair in a first time period is the same color; and, if a preset color recognition result pair exists among the color recognition result pairs acquired after determining the intersection type, identifying the preset color recognition result pair as a false detection result, where the preset color recognition result pair includes color pairs other than those corresponding to the intersection type.

The application discloses a kind of no signal pedestrian crossing human-vehicle game behavior perception utility function quantitative evaluation method, belong to traffic safety and management field;Including analysis and determination of the game subject at no signal pedestrian crossing and setting the perception utility of game subject;Adopt Monte Carlo simulation and human ear perception similarity respectively quantify the perception utility of each game subject;Determine the acceptable perception level of each game subject;The perception utility function of each game subject is established using logistic regression model;The application can quantitatively analyze the problem that pedestrian crossing and motor vehicle yielding behavior at no signal pedestrian crossing mutually confront, mutually game each other, establish the basis for constructing Jacobian matrix and replicator dynamic equation in human-vehicle game model.

1. Name of the product in this design: Intelligent Traffic Safety Warning Device. 2. Purpose of this design: This design is used for real-time monitoring and warning of pedestrians, non-motorized vehicles and motorized vehicles. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application relates to the technical field of traffic safety, in particular to a vibration deceleration marking setting method based on marking laying length. The visual recognition process of a driver to the deceleration marking is confirmed, and laying parameters are obtained; the psychological perception coefficient of the driver passing through each deceleration marking is obtained; the acceleration of the driver passing through each deceleration marking is obtained according to the psychological perception coefficient of the driver passing through each deceleration marking; the speed of the driver passing through each marking is obtained according to the acceleration of the driver passing through each deceleration marking and the laying parameters; the kinematic equation is established according to the speed of the driver passing through each deceleration marking, and the kinematic equation is solved in combination with the Weber law to obtain the setting interval of the deceleration marking; and the deceleration marking is laid according to the setting interval of the deceleration marking. The laying interval of the deceleration marking is determined by introducing a psychological formula considering the comfort of the driver passing through the vibration deceleration marking, and the application has strong applicability.

This invention relates to an intelligent signal control method and system for asymmetric intersections, belonging to the field of intelligent traffic control technology. The method dynamically adjusts traffic light timings by collecting real-time traffic flow data from main roads and side roads, utilizing data processing and analysis techniques. Specifically, if there are no vehicles waiting on side roads before the main road's green light ends, the main road's green light time is automatically extended to improve intersection efficiency. The system includes a data detection unit, a data processing unit, a signal control unit, and a data storage unit, capable of real-time monitoring of traffic flow and vehicle queuing, and adjusting signal timings based on real-time data. This invention effectively reduces vehicle waiting time, increases traffic flow, reduces congestion, and improves traffic safety and efficiency.

The present application belongs to the technical field of low-altitude unmanned aerial vehicle management and control and traffic safety, and particularly relates to a method and system for determining the frequency of unmanned aerial vehicle inspection of a tunnel group on a mountainous highway. The method comprises the following steps: obtaining multi-dimensional driving data for a target tunnel group road section through real vehicle driving experiments; processing the multi-dimensional driving data through a factor analysis method to extract at least one common factor, and calculating driving risk quantitative values for different spatial positions in the target tunnel group road section based on the variance contribution rates of the common factors; analyzing the driving risk quantitative values using a clustering algorithm to divide the target tunnel group road section into multiple risk road sections with different risk levels; for each risk level, introducing the concept of risk exposure, and based on the driving risk quantitative values corresponding to the risk level, a preset weighted average reference risk value, and a reference inspection period, determining inspection parameters for unmanned aerial vehicle inspection of the risk road section corresponding to the level.

This utility model discloses a municipal road construction warning device, relating to the field of municipal engineering safety construction technology. It includes a mounting post, a warning light, and a connecting frame. The top of the mounting post is fixedly connected to the bottom of the warning light, and the two inner sides of the mounting post are fixedly connected to the two sides of the connecting frame. A mounting plate is movably connected to the front and back of the connecting frame, and a movable groove is formed on the front of the mounting plate. This utility model, by setting up the mounting plate and the movable groove, allows the content of the warning sign to be flexibly changed according to construction needs, improving the practicality and adaptability of the device. It effectively ensures traffic safety in the construction area and solves the problem that while the warning device is easy for users to disassemble and assemble, it lacks a structure for users to easily replace different warning signs, making it impossible to change different warning signs according to different usage scenarios, thus reducing the practicality of the warning device.

The utility model discloses a honeycomb parking wedge relates to parking wedge field, including the wedge body and the base that sets up at the bottom of wedge body, the shape of wedge body is honeycomb, and the right side shape of wedge body is arc, and the left side fixed mounting of wedge body has the locating plate, the left side upper end fixed mounting of base has the vertical board, and the inside of vertical board is provided with reverse pressure mechanism. This honeycomb parking wedge, the wedge body of parking wedge adopts honeycomb internal structure, this structure not only effectively alleviates the overall weight, more through the stress dispersion of porous support system, makes parking wedge more stable even when bearing, significantly improves its compressive strength and durability, this design enhances the friction with ground simultaneously, makes the griping force more firm, prevents sliding on the ramp or wet and slippery pavement, and parking wedge overall selects bright yellow, is conspicuous in vision, improves the identification degree, also meets the requirement of warning color in most regional traffic safety regulations.

This application discloses a method and system for evaluating the night visibility of traffic safety facilities, relating to the field of image processing technology. The method includes: acquiring an image of a traffic safety facility to be evaluated; if the image is a traffic sign image, determining the retroreflection coefficient of each color region of the traffic sign; evaluating the night visibility of the traffic sign based on the retroreflection coefficient and the uniformity of gray values ​​in the specific distribution area of ​​the traffic sign; if the image is a traffic marking image, determining the retroreflection brightness coefficient of the traffic marking and the uniformity of gray values ​​in the specific image region where the traffic marking is located; and evaluating the night visibility of the traffic marking based on the retroreflection brightness coefficient and the uniformity of gray values ​​in the specific distribution area of ​​the traffic marking. The night visibility detection method for traffic safety facilities in this application has high detection accuracy and strong reliability.

This invention relates to the field of road traffic safety technology, specifically to a collaborative decision-making method and system for autonomous driving of new energy vehicles in a human-machine hybrid driving environment, comprising the following steps: acquiring the interaction feature vector of a target HDV vehicle that has potential interaction conflicts with the vehicle; the interaction feature vector includes motion features, safety threshold features, and behavioral tendency features; constructing a deep learning-based recognition model, performing temporal analysis and spatial relationship modeling on the interaction feature vector to obtain recognition results including behavioral style, driving intention, and confidence level; converting the recognition results into risk level and intention probability; dynamically adjusting the decision strategy of the AV vehicle according to the risk level and intention probability; converting the adjusted decision strategy into executable control commands and sending them to the vehicle's actuators; effectively reducing human-machine interaction misjudgments to achieve a balance between safety and efficiency.

This invention discloses a road safety analysis method and system for eliminating heterogeneity in traffic accident samples, relating to the field of road safety technology. Specifically, firstly, accidents are clustered according to their occurrence characteristics, forming groups with different attribute characteristics. Then, based on the safety influencing factors of the accidents, traffic safety models are performed on different groups. A safety analysis model is applied to obtain the influencing factors of traffic road safety in the affected area, and a safety evaluation of the area is conducted. Through the technical solution of this invention, a precise, comprehensive, objective, and truthful road safety evaluation method that reflects the impact data is provided, with a wider range of applications. In particular, clustering based on accident characteristics can amplify the heterogeneity between accident samples, better characterizing the impact of the same influencing factors on different accident groups.

This invention discloses a pixel-level visibility and fog structure joint modeling method and system based on binocular depth estimation and pixel-by-pixel transmittance fusion. The method utilizes binocular vision to obtain accurate scene depth and constructs a two-stage neural network: the first stage estimates depth through stereo matching; the second stage fuses depth and fog map texture features, jointly regresses pixel-by-pixel transmittance and visibility maps, and detects localized patchy fog by analyzing their spatial distribution. This invention overcomes the limitations of monocular methods due to the lack of geometric information, achieving physically interpretable high-precision visibility perception and effectively identifying non-uniform fog conditions that endanger traffic safety. The system can run in real-time on an embedded platform, combined with a gimbal for panoramic monitoring, and is applicable to fields such as intelligent transportation, autonomous driving, and meteorological observation.

The utility model discloses a kind of folding portable multifunctional surveying and setting-out tools for traffic safety facilities construction, including folding main body frame, distance measuring module, horizontal detection module, fixed-point identification module, data record storage module and control assembly;Folding main body frame contains handheld section and measuring section, and it is reduced to accommodate volume by collapsible connecting structure;Distance measuring module is equipped with roller and electronic distance measuring unit, and handheld section is equipped with mode control component to switch mode;Horizontal detection module is combined with level principle structure and alarm device;Fixed-point identification module linkage distance automatic marking and accurate identification key parts are measured;Control assembly contains antiskid and distance measuring locking component, and it is guaranteed to hold steady and fixed-point accuracy.This tool is adapted to marking line, contour mark, protruding road sign, 100-meter plate construction scene, and continuous measurement and identification can be completed in walking, improve portability, efficiency and accuracy, facilitate data traceability, meet efficient construction demand.

This invention relates to the fields of highway ecological engineering and traffic safety engineering technology, and discloses a construction method for ecological buffer zones at highway tunnel entrances. This method involves preliminary surveying to complete the functional zoning design of the buffer zone, followed by sequential implementation of foundation remediation and slope stabilization treatment, construction of a layered buffer structure system, construction of zoned adaptive ecological communities, and construction of a light control and disaster prevention system. Finally, it culminates in quality acceptance and the establishment of a long-term maintenance system. This invention, through a technical approach of "zoning design - structural synergy - functional integration," simultaneously addresses six core pain points at tunnel entrances: abrupt changes in driving light environment, traffic noise pollution, slope instability, road surface pollution, ecological fragmentation, and insufficient emergency disaster prevention. The constructed buffer zone combines multiple functions, including driving safety assurance, ecological restoration, pollution control, and landscape coordination. The construction process is standardized, highly replicable, has a high vegetation survival rate, and low subsequent operation and maintenance costs, meeting the requirements for green highways and ecological transportation construction.

The application discloses a traffic safety scene text generation method, comprising: obtaining an initial parameter set input by a user; generating prompt information based on the initial parameter set and a preset semantic constraint template; the semantic constraint template comprises a plurality of non-numeric mandatory items and their arrangement order; receiving scene description information generated by a generative artificial intelligence model in response to an inference request based on the input prompt information; and generating a traffic safety scene file based on the scene description information. The application generates highly structured input prompt information by receiving an initial parameter set input by a user and combining a preset semantic constraint template. Since the semantic constraint template clearly specifies a plurality of mandatory non-numeric items and their arrangement order, and rigidly stipulates that no numerical parameters are allowed in the prompt information, the generative artificial intelligence model can be strictly limited within the preset semantic framework when receiving instructions to perform inference and creation, thereby improving the semantic consistency of the generated text.

This invention relates to an intelligent detection method for the dynamic process of water accumulation on highway pavements, belonging to the fields of computer vision and intelligent transportation. The method includes: acquiring videos from multiple sections of the highway; preprocessing the video frames of each video and calculating the dense optical flow of adjacent frames to obtain an optical flow sequence; constructing a dual-flow fusion neural network architecture; integrating a watershed attention mechanism into the spatial flow network to extract spatial features; using a 3D convolutional network to process the optical flow sequence to extract temporal features; adaptively calculating the fusion weights of the spatial and temporal flows to generate fusion features; using a multi-task learning framework to generate corresponding prediction results; using a physical perception loss function to constrain the prediction results; and performing data analysis and risk assessment on the constrained prediction results. This invention's method can detect the dynamic process of water accumulation on highway pavements in real time and accurately, providing important technical support for traffic safety.

The present application relates to the technical field of road traffic safety emergency equipment, in particular to a highway autonomous mobile warning device and a full-process automatic laying and recycling system, which adopts a general hardware platform, software-defined functions and a modular replaceable warning component architecture, realizes a portable structure of a walking mechanism foldable and a warning component flexible, can be placed in any small space in the car after folding, eliminates the manual real-time control link, automatically adapts to warning distances of various countries through a cloud global regulation library, moves along the lane to a legal position, returns to the initial placement position along the original path after completing the warning, and only needs to send a single instruction throughout the process. The present application not only can solve the safety problem of manual walking placement, but also can avoid the fatal defect that the existing remote control mobile warning device cannot be seen by the human eye, cannot be effectively remotely controlled, and becomes a road obstacle at the legal warning distance, thereby fundamentally eliminating the secondary accident risk caused by all manual factors.