152 results about "Road traffic" patented technology

The application discloses a kind of chain CAV queue shaping improvement swarm control methods based on virtual guiding berth, first, intelligent network connection unmanned vehicle team is the research object, the force between each unmanned vehicle in the system of unmanned vehicle intelligent agent is described using nonlinear function relationship;Second, the chain unmanned vehicle queue shaping improvement swarm control algorithm based on multiple virtual guiding berth is designed.The results show that the algorithm realizes the safe, rapid and stable constraint of different initial states, different number of intelligent network connection unmanned vehicles into regular chain queue (single / double chain) and drives out the intersection without signal light, and all unmanned vehicles maintain reasonable spacing, avoid collision while speed gradually reaches agreement during the completion of swarm process, realize the stable planning and tracking of intelligent network connection unmanned vehicle team, which is of great significance to improve the driving safety and road traffic efficiency of unmanned vehicle queue.

The present application relates to the technical field of road traffic marking, and particularly relates to a warning and deceleration device suitable for illegal lane changing of broken and solid lines and a construction method thereof, which comprises fixed deceleration blocks and telescopic deceleration blocks arranged between broken lines and solid lines on a roadbed assembly, a plurality of concrete precast grooves are formed on the roadbed assembly, and each concrete precast groove is provided with a fixed deceleration block and a telescopic deceleration block; the fixed deceleration block is fixedly connected with the concrete precast groove through a fixed pin, the telescopic deceleration block is arranged on one side of the fixed deceleration block, and the telescopic deceleration block is respectively provided with a trigger force transmission device and an action feedback device; the trigger force transmission device comprises a trigger device, a resilient force transmission lever assembly arranged below the trigger device, and a force transmission arm assembly connected with the resilient force transmission lever assembly. The present application can play a good role in guiding and indicating correct lane changing, prevent the behavior of illegal lane changing of vehicles, but does not affect the normal lane changing behavior of vehicles according to the marking lines, so as to ensure the order of traffic.

The invention relates to a method for guiding drivers of motor vehicles (1), comprising the steps of: - detecting the occurrence of a traffic situation deviating from a normal traffic situation; - detecting a position of the motor vehicle (1) in relation to a road being travelled on; - outputting a visually perceptible instruction (A1, A2) to the driver for a lane change or a departure from the current lane, characterized in that the visually perceptible instruction (A1, A2) is output in a traffic field of vision (2) of the driver in which the driver has the road traffic in front of the motor vehicle (1) in view.

The invention relates to improving the attention of a person driving a vehicle (20) to road traffic. To improve attention, the invention provides for degrading the service quality of a communication connection (14) when it is detected (12) that the person's attention falls below a threshold that depends on road traffic.

Roadway intersection signaling solution is provided having systems and methods that can include a processor to identify a setting for roadway signaling. The setting can include predetermined phases to apply according to time intervals to control traffic objects at the intersection. The processor can identify data from a sensor on an object and an environmental condition at the roadway intersection. The processor can determine, based on the object and the environmental condition input into a machine learning (ML) model, a timing for the object to pass the roadway intersection. The processor can adjust, based on the timing for the object to pass the roadway intersection, the setting for signaling at the roadway intersection and generate an instruction to a signaling device at the roadway intersection based on the adjusted setting.

This invention discloses a method, device, and medium for predicting highway congestion based on big data, relating to the field of road traffic control technology. The method includes: analyzing the traffic status of road segments and identifying the traffic relationships between road segments from multi-source traffic data, outputting road segment relationship status data; identifying bottleneck road segments in the highway from the road segment relationship status data, outputting bottleneck structure data; organizing the bottleneck road segments into paths according to their temporal impact relationships, outputting a congestion propagation path map; performing temporal extrapolation of the influence extension direction and expansion range of the bottleneck road segments along the continuous path relationships in the congestion propagation path map, outputting congestion trend data; and determining the congestion development status and propagation path direction of the highway based on the congestion trend data, outputting highway congestion prediction information. This invention, through the synergy of bottleneck structure data construction and congestion propagation path map generation, achieves clear identification of the transmission path and expansion range of highway congestion impacts.

This invention provides a data-driven method and system for optimizing influenza vaccine transport, relating to the fields of data processing and intelligent optimization. The method includes acquiring multi-source dynamic data corresponding to the influenza vaccine transport task, and performing time alignment and feature construction on the multi-source dynamic data to obtain feature vectors representing a set of candidate transport links and a set of candidate transport nodes. The candidate transport links represent the transport modes and path combinations from the starting node to the destination node. This data-driven method and system for optimizing influenza vaccine transport establishes a data-driven machine learning prediction model by performing time alignment and feature construction on multi-source dynamic data such as road traffic, weather, transport node operational capabilities, and cold chain status. This model jointly predicts transport time, node waiting time, and temperature exceedance risks, achieving accurate characterization of the timeliness and cold chain risks in the influenza vaccine transport process.

This application discloses a street light maintenance platform and its usage method, belonging to the field of street light maintenance. It includes a lamp post body with multiple handrails for climbing. Support plates are rotatably mounted on both sides of the lamp post body, and rotating rods are fixedly connected to the support plates. Each rotating rod passes through the lamp post body, and a rotating gear is fixedly connected to the end of the rotating rod that enters the lamp post body. A first crown gear is rotatably mounted inside the lamp post body, meshing with the rotating gear. A drive assembly for driving the first crown gear is provided on the lamp post body. A connecting plate slides through the support plates, and a connecting slot is provided on the support plates for engaging with connecting plates on adjacent support plates. A fixing assembly is provided on the connecting plates for fixing adjacent support plates. This application has the effect of reducing the impact on road traffic.

To improve resilience to communication failures in the operation management of autonomous vehicles. [Solution] The in-vehicle device is an in-vehicle device mounted on a vehicle and comprises a communication unit capable of communicating with a server device via a mobile communication line, and a control unit that changes the route for autonomous driving of the vehicle in response to the occurrence of road traffic events and sends information of the changed route to the server device, wherein the control unit maintains the route even if a communication failure occurs in the line and the event occurs.

The application provides a road traffic marking line generation method and device and electronic equipment, and a road spline line of a target road is acquired in advance; a plurality of marking points are included in the road spline line, and the marking points are configured with corresponding marking information; the marking information includes a road position of the generated road traffic marking line and display parameters of the road traffic marking line; the marking information corresponding to the plurality of marking points is read in a preset order, and the road traffic marking line is generated on the target road based on the marking information. In this way, the marking points are set in the road spline line of the target road in advance, and the corresponding marking information is configured for each marking point, the corresponding road traffic marking line can be automatically generated on the target road based on the marking information, the marking line form of the marking line is standardized and unified, the generation efficiency and display effect of the road traffic marking line are improved, and the modification cost of the road traffic marking line is reduced.

This application relates to a V2X on-board unit that connects to a housing via a standard interface, receives signals from the V2X module within the housing, and displays road traffic information based on these signals. The system displays key traffic information from the vehicle's perspective, such as other vehicles around the vehicle, traffic warnings, and traffic light information. The displayed information may include a light map or no map, thereby reducing the processor requirements and ultimately lowering costs.

The application provides a traffic signal indicator adjustment method, device and server, and relates to the technical field of intelligent transportation.The method comprises the following steps: obtaining historical monitoring data of a target road section and real-time road condition information of the target road section; predicting road traffic data conforming to the target road section based on the historical monitoring data and the real-time road condition information; and generating an adjustment scheme of a traffic signal indicator corresponding to the target road section according to the road traffic data, so as to adjust the traffic signal indicator of the target road section.The traffic signal indicator adjustment method, device and server provided by the application can adjust the traffic signal indicator of the target road section, and the whole adjustment process can be automatically completed without manual intervention, which not only saves time and effort, but also helps to alleviate the problem of urban traffic congestion.

The application provides a road yielding incentive mechanism design method based on deep reinforcement learning, and belongs to the technical field of intelligent road traffic. The method comprises the following steps: collecting full-factor road information of a target road section, obtaining preprocessed road network files, preprocessed traffic files and simulation configuration files through high-precision digital road network modeling, time period collection and preprocessing, performing benchmark simulation to obtain benchmark simulation information; performing control training by using a deep reinforcement learning algorithm, and obtaining a yielding-free incentive optimal model by setting a safety and efficiency double-target reward function; and obtaining an optimal incentive mechanism model by performing simulation training based on a fixed incentive layer and a dynamic incentive layer, and comparing full-dimension data according to the yielding-free incentive optimal model. The application realizes compensation of delay loss borne by yielding vehicles, improves the active yielding willingness, reduces the rush and jam, and realizes accurate yielding determination, fair compensation and road section customization incentive.

This invention discloses a method for transporting tall, long arch ribs on complex mountain roads. The core process includes road surveying and transportation simulation, a proportional arch rib transportation passability test, precise loading and locking of the arch ribs and installation of attitude monitoring devices, transportation along a preset trajectory and point-of-care inspection, and three-level graded acceptance and control. This invention employs a self-righting, low-center-of-gravity counterweight vertical transport scheme, equipped with prefabricated tooling that can adapt to longitudinal slopes and small-radius turns, and features a gravity balance sensor to automatically adjust the arch rib attitude. A dedicated braking system is customized for the transport vehicle. This invention effectively lowers the transportation center of gravity and road traffic requirements, reduces road widening projects, saves costs, protects the environment, solves the problem of transporting tall, long arch ribs on complex mountain roads with steep longitudinal slopes and small-radius turns, improves transportation safety, avoids arch rib deformation and damage, and ensures construction quality.

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 discloses a kind of driver evasive littering behavior characteristic test method and device.First, according to littering type, lane position, early warning measure and illumination condition design driving simulation experiment scheme;Second, using AutoCAD, latitude ground road traffic auxiliary design software, 3Dmax and SCANeR software complete experimental scene development work, including: littering model, vehicle and surrounding environment and road infrastructure etc.;Then, recruit qualified driver to complete driving simulation experiment, obtain basic index data and carry out data preprocessing, obtain effective data capable of representing vehicle space-time characteristics;Then, the index of driver transverse and longitudinal operation performance is described statistically analyzed, point by point significance analysis, difference analysis and comprehensive evaluation, analyze the driving behavior change characteristics of driver when evading littering and evaluate the danger degree of different types of littering and the effectiveness of different early warning measures.

The present invention provides an advanced road traffic system and method for improving road safety, as well as a method and electronic device for road users. [Solution] The present invention relates to a computer program. An event detected by a first road user and / or road infrastructure can be broadcast locally to the environment via a direct communication signal and received by other road users in the vicinity. A road user connected to or capable of connecting to a backend server determines the relevance of the detected event and uploads the received information regarding the detected event to the backend server. Other road users who are not within range of the broadcasted direct communication signal but are connected to the backend server can then be notified and / or warned of the detected event.

This invention relates to the field of road management, specifically to a data-driven road traffic risk control system and method, comprising: a road monitoring module, a vehicle management module, an accident analysis module, a traffic focusing module, and a dispatching and allocation module. The road monitoring module is used to establish a road network model; the vehicle management module is used to plan the optimal driving route; the accident analysis module is used to determine the type of accident; the traffic focusing module is used to optimize patrol routes; and the dispatching and allocation module is used to build an exchange service platform for command and dispatch. This invention can improve traffic operation efficiency, reduce accident risks, build an intelligent traffic management system, enhance the perception and management level of urban traffic, improve the accuracy of traffic accident target detection, improve traffic infrastructure construction, enhance road network safety, optimize the allocation of human and material resources, and reduce traffic management costs.

Driver assistance systems are known in the prior art. These systems support drivers in everyday road traffic but are not sufficiently adapted to extreme situations in motorsport. This results in an increased risk of accidents, as extreme situations can be difficult to control, which in turn increases the risk of accidents. Therefore, the object of the invention is to further reduce the risk of accidents and to provide means that allow even extreme situations to be mastered. This object is achieved by a method, in particular implemented as a computer-implemented method, wherein the method is designed to support a controlled drift of an ego-vehicle, and wherein the method comprises the following steps: - Pre-setting and / or recalling a set drift angle; - Analyzing a driving situation trained in such a way as to compare an instantaneous drift angle with a set drift angle; - Prediction of a necessary intervention and / or a change in intervention, each designed to approximate the instantaneous drift angle to the set drift angle and / or designed to avoid an adverse trajectory.

The utility model belongs to the related technical field of guardrail, concretely relates to a novel city road and traffic engineering guardrail, including installation base, installation base is provided with two, two installation base's upper end all are fixedly connected with support column. The utility model discloses the mutual cooperation between the rotatory rod one, bevel gear no.

The current traffic signal system fails to provide drivers with clear information when signals change, leading to frequent "dilemma zone" issues at intersections. A "dilemma zone" refers to a situation where a driver faces a conflict over whether to stop or proceed when a yellow light turns on; major problems include rear-end collisions caused by sudden stops and traffic accidents resulting from stopping midway through intersections. This risk is particularly high for large vehicles due to their longer braking distances, yet existing traffic signal systems have limitations in addressing these issues. The present invention comprises the steps of: supplying power to a yellow light before switching from a blue light to a red light; setting a timer value when power is supplied to the yellow light and displaying the timer value on the yellow light; displaying the changed timer value as a number on the yellow light as the timer value changes; and cutting off power to the yellow light and supplying power to the red light and resetting the timer value when the timer value becomes zero.

This invention belongs to the field of road traffic noise control and acoustic computation technology, and relates to a physical information neural network-driven method for sound barrier shape optimization based on the isogeometric singular boundary method. The method includes: NURBS parameterization and boundary discretization based on the sound barrier's geometric design requirements; constructing an acoustic analysis model based on acoustic control equations and boundary conditions; calculating the average sound pressure level within the observation area using the isogeometric singular boundary method and using it as the objective function; constructing a physical information neural network, constraining the control point update range through a coordinate mapping layer and bounded activation functions, and iteratively optimizing using the average sound pressure level of the observation area as the loss function; and outputting the optimized sound barrier geometry after network convergence and evaluating the noise reduction effect. This invention combines the isogeometric singular boundary method with a physical information neural network, eliminating the need for mesh reconstruction and sensitivity analysis, achieving efficient adaptive optimization of the sound barrier geometry, and effectively improving the noise reduction performance of the sound barrier.

The application relates to the field of intelligent transportation and automobile electronic technology, in particular to a projection type road marking method and system based on dynamic traffic environment perception, which comprises the following steps: collecting and fusing real-time traffic flow, weather conditions and event data to form an environment state data set; calculating a traffic state index to evaluate the current road traffic state; triggering preset road marking rules based on the traffic state index to generate a marking scheme; constructing a dynamic space mapping mechanism based on a two-dimensional coordinate system to map marking elements into coordinate data; performing geometric distortion correction and smooth transition processing on the coordinate data to obtain final marking graphic data; dynamically calculating the brightness parameters of the finally projected road marking graphics in combination with real-time environment states to complete dynamic marking projection. The application constructs a "perception-decision-projection" integrated network, cooperatively judges based on the whole road traffic situation, and realizes evolution from "isolated projection" to "whole-network cooperative intelligence".

1. Name of the design product: integrated intelligent signal lamp (small waist). 2. Use of the design product: the design product is used for indicating urban road traffic signal lamp. 3. Design points of the design product: combination of shape and pattern. 4. Picture or photo best indicating the design points: perspective view.

This utility model discloses an automatic reflective cone transport device and an automatic delivery and take-up vehicle, relating to the technical field of road traffic isolation and warning facilities. The telescopic component extends and retracts along a first direction, the moving part of the directional component moves along a second direction, and the rotating part rotates around a third direction, expanding the three-dimensional operating range and enhancing the posture flexibility of the gripping component. Simultaneously, the structural design, where the movement trajectories of each component do not interfere with each other, reduces the risk of malfunction, ensuring long-term stable operation of the device and fully meeting the actual needs of reflective cone transport. Furthermore, by using a drive component to achieve automated coordinated operation of the telescopic component, directional component, and gripping component, the degree of automation can be significantly improved, reducing manual intervention to lower labor costs and operational uncertainties. Remote control or automatic program operation can reduce direct contact between personnel and hazardous environments, improving operational safety, and the precision of electric control ensures that reflective cones are accurately gripped, transported smoothly, and placed precisely, accelerating operational efficiency.

A method (10) for detecting and classifying at least one object in road traffic comprises the following method steps (11, 12, 13, 14). Firstly, sensor data of a sensor (21) are provided. By means of a neural network (22), the at least one object is detected and classified on the basis of the sensor data. Additionally, by means of a symbolic monitoring algorithm (23), the object is detected and classified on the basis of the sensor data. It is checked whether the neural network (22) and the symbolic monitoring algorithm (23) provide consistent results with regard to the detection and classification of the object.

1. The name of the design product: Isolation guardrail (cloud pattern rhyme theme). 2. The use of the design product: For road traffic isolation guardrail. 3. The design points of the design product: In shape. 4. The picture or photo that best indicates the design points: Perspective drawing.

The present invention relates to the technical field of urban traffic management, and in particular to a pavement defect monitoring and prediction method and system. The method comprises the following steps: constructing a pavement digital twin model of a target pavement; constructing a historical pavement monitoring dataset, and acquiring pavement monitoring indicator precise data and pavement high-definition image data in real time; on the basis of the pavement digital twin model and the pavement monitoring dataset, using a dual-source weight fusion method to obtain an indicator weight of each pavement monitoring indicator; and on the basis of the pavement monitoring indicator precise data, the indicator weight, and the pavement high-definition image data, updating the pavement digital twin model to achieve real-time monitoring and prediction of a target pavement defect, and formulating a pavement maintenance strategy. The present invention is based on the pavement digital twin model, and takes into account the degree of influence of each pavement monitoring indicator on a pavement defect, achieving real-time, accurate, and efficient monitoring and prediction of the pavement defect, thereby formulating the pavement maintenance strategy in a timely manner to ensure the road traffic capacity and safety.

This invention discloses a prefabricated portal pier cap beam, belonging to the field of bridge engineering technology. It solves the problems of traditional cap beams, such as heavy weight, high precision requirements during construction and installation, high difficulty, and significant impact on existing road traffic during on-site construction. The invention includes a cap beam body erected within connecting slots on both sides of the pier columns. The connecting slots are adapted to the cap beam body, which is U-shaped. A top plate is connected to the cap beam body, and rubber supports are installed within the connecting slots. The cap beam body is erected on top of the rubber supports. Construction method: First, the piers are poured, rubber supports are installed, then the cap beam body is erected, the top plate is installed and concrete is poured for fixation, then post-tensioned prestressed tendons are tensioned, and finally concrete is poured to fix the pier columns and cap beam body, and bridge limiters are installed. This invention features a simple construction method, employing a large number of prefabricated and cast-in-place joints, effectively reducing the construction period, minimizing impact on existing traffic, reducing construction difficulty, eliminating the need for alignment of the sleeve reinforcement during hoisting, and enabling rapid installation.

The utility model relates to road traffic transportation engineering technical field and disclose a kind of anti-collision device for road traffic transportation engineering, including fixed column, the fixed frame is fixedly installed in one side of fixed column, the inner end of fixed frame is equipped with buffer groove, the inner wall of buffer groove is uniformly fixedly installed with several installation plates, the fixed frame is fixedly installed with buffer damper in one side of installation plate, the fixed frame is fixedly installed with link plate in one side of buffer damper side away from installation plate, the fixed frame is fixedly installed with mounting frame in one side of link plate side away from buffer damper, the inner end of mounting frame is equipped with mounting groove, the inner end of mounting groove is uniformly movably installed with several force relieving roller;The anti-collision device for road traffic transportation engineering, buffer damper and force relieving roller are combined, force relieving roller first removes a part of impact force, then buffer damper buffers impact force again, improve the effect of anti-collision, improve security.