432 results about "Speed limit" patented technology

The invention discloses a heavy haul train automatic driving curve planning method, electronic equipment and a storage medium. The method comprises the steps that a DP state transition table is loaded, and a plurality of initial states, a plurality of actions capable of being adopted in each initial state and a transition state capable of being reached by each action are defined in the DP state transition table; acquiring a protection curve as a speed limit line, and drawing according to the protection curve to obtain a guide line; performing curve planning by taking N DP step lengths as a cycle, for each DP step length, sequentially traversing each migration state corresponding to the initial state of the DP step length from top to bottom in the DP state migration table, and performing judgment based on a speed limit line and a guide line to obtain respective target migration states of the N DP step lengths; and generating a speed-mileage planning curve of the train according to the final speed of a differential interval obtained by performing dynamic differential calculation by adopting the action corresponding to the target migration state of each DP step length. According to the invention, the planning success rate and fault tolerance can be improved.

The invention discloses a BIM-based highway construction period traffic guide and change optimization system, and relates to the technical field of road traffic management. According to the BIM-based highway construction period traffic guide and change optimization system, traffic management in the construction period is dynamically adjusted in real time through space-time modeling, data fusion and optimization decision. The system generates a road network space-time model, matches vehicle trajectory data with lane space data, counts the number and speed of vehicles, and optimizes traffic flow. According to the optimization result, the system outputs the tailgating length, the number of lanes and the speed limit value and generates a corresponding control instruction and a speed limit issuing instruction, traffic management of the highway construction period is accurately optimized through space-time modeling and real-time data fusion based on BIM, the system can obtain vehicle track data in real time, the lanes and the speed limit strategy can be dynamically adjusted, and the speed limit efficiency is improved. Traffic delay in the construction period is minimized, and traffic safety and smoothness of a construction section are effectively guaranteed by generating an accurate lane control and speed limiting instruction.

The invention discloses a lane-level congestion identification method, apparatus and device, and a computer program product. The method comprises the steps of receiving roadside sensing data and determining a sensing result of a vehicle target according to the roadside sensing data; dividing the perception result of the vehicle target to the corresponding lane to obtain the perception result of the vehicle target of each lane; based on a pre-created sliding window, respectively carrying out statistical analysis on the perception results of the vehicle targets of each lane to obtain the average speed of each lane; and determining lane-level congestion information according to the average speed of each lane and the road speed limit information. The vehicle sensing result is obtained by means of the strong sensing capability of the roadside equipment, the sliding window is used for carrying out statistical analysis on the data of each lane, and the lane congestion condition is accurately judged in combination with the road speed limit information for reference use of the vehicle, so that the problems of limited view and insufficient sensing capability of the vehicle are solved, and the driving safety is improved. Therefore, timely and accurate lane-level congestion information is provided for the automatic driving vehicle, and the driving efficiency and safety are improved.

The invention discloses a deep reinforcement learning highway variable speed limit control method based on multi-target dynamic weight distribution, and the method comprises the steps: 1, collecting the traffic flow information of a road section, and obtaining the traffic state data; 2, defining an action parameter and a reward function of the deep reinforcement learning method; 3, constructing a network model of deep reinforcement learning, and establishing a playback memory bank storage sample; and 4, reward function weight updating is carried out based on an entropy weight method, an optimized control strategy is obtained based on a sampling training deep reinforcement learning network model, and speed limit control is carried out on each control unit. According to the method, dynamic weight distribution of the traffic efficiency and the safety reward function is achieved, the method can adapt to a complex traffic environment, meanwhile, the operation efficiency of the expressway is effectively improved, and the safety risk is reduced.

The invention relates to the technical field of rail bridge engineering, and particularly discloses a rail-bridge system residual traffic capacity assessment method, medium and equipment, and the assessment method comprises the steps: constructing a rail-bridge system seismic response model and a train-rail-bridge system coupling vibration model of a research object; constructing an earthquake-induced irregularity sample library; establishing a simplified calculation model of the shock-actuated irregularity equivalent coefficient; performing curved surface fitting to obtain a shock-induced composite unsmooth fitting curved surface; putting forward earthquake-induced irregularity thresholds in different driving performance index states, and establishing a linear mapping relation between the earthquake-induced irregularity thresholds and the driving speed; and establishing a mapping relationship among the seismic oscillation intensity, the structure natural vibration period and the post-earthquake driving speed limit value in different driving performance index states, and outputting a residual traffic capacity evaluation result according to the post-earthquake driving speed limit value. According to the method, the problem that in an existing method, the quantitative mapping relation between the current rail surface irregularity after the earthquake and the train operation performance is not clear is effectively solved.

A method for active control of variable speed limits on highways includes: (a) a mixed traffic flow scenario considering driver individuality is constructed, and scenario parameters are set; (b) traffic state data for a merging road scenario is acquired; (c) an agent is trained using the traffic state data as state variables to obtain a speed limit control optimization model; diverse training scenarios are generated by Poisson distribution during training, an optimal speed limit value and an appropriate speed control location are selected within each control cycle T, and a moving bottleneck is generated using a moving bottleneck variable speed limit constructed based on connected and autonomous vehicles. A system for active control of variable speed limits on highways is further provided.

The invention provides a range extender power generation rotating speed control method and device based on NVH and a vehicle, different NVH experiences are provided for a user in different driving modes, meanwhile, the environment where the user is located is considered, comfort and economical efficiency are compatible, and meanwhile the scheme does not involve increase of hardware cost. The method comprises the following steps: acquiring a current driving mode, operating parameters and an environment scene identifier of a vehicle; according to the driving mode and the operation parameters, the initial working rotating speed of the range extender is determined; determining an NVH rotating speed limit value according to the driving mode and the environment scene identifier; correcting the initial working rotating speed based on the NVH rotating speed limit value to obtain a final working rotating speed; and generating a range extender torque control instruction according to the target generated power and the final working rotating speed.

The invention relates to the technical field of intelligent traffic control, and discloses a variable speed limiting method considering accident risks in extreme weather. The method comprises the steps of collecting multi-source real-time traffic flow and meteorological data of a target road in extreme weather to form an original data flow; the data stream is injected into an accident risk feature extraction pipeline, the pipeline screens and transforms the data layer by layer according to a risk mode extracted by a historical extreme weather accident case library, and a dynamic accident risk portrait formed by risk quantitative indexes with timestamps is generated; and finally, driving the generation of a variable speed limit control strategy based on the portrait. According to the method, the risk characteristics in the real-time data are deeply mined by using the historical accident mode, and the quantifiable risk portrait is constructed, so that the limitation that a traditional method depends on a fixed threshold value is overcome, the accuracy and the foresight of risk assessment are improved, a more scientific and adaptive speed limiting instruction is generated, and the road safety level in extreme weather is improved.

The invention relates to the field of intelligent traffic and vehicle-road cooperation, in particular to a traffic operation double-control intelligent system. Comprising a multi-mode roadside sensing module used for obtaining traffic operation state data and environment state data of a road section; the double-control cooperation unit is used for jointly generating variable speed limit setting and signal control adjustment quantity based on the traffic operation state data and the environment state data; the signal control module is used for carrying out on-line adjustment on intersection phase timing or trunk line phase difference according to the signal control adjustment amount; the road information broadcasting module is used for broadcasting road information to the vehicle; the consistency verification module is used for carrying out consistency comparison on the road information, the actual signal lamp state and the phase remaining time; and the safety domain management module is used for applying double-hysteresis safety domain constraint to the variable speed limit setting and the signal control adjustment amount. According to the invention, the cooperation of two links is realized, the vibration suppression steady state is consistent with the release, and the driving behavior is stably and verifiably guided.

The invention discloses an expressway construction area step-by-step variable speed limit control method based on a dual depth Q network, and the method comprises the steps: constructing an environment model interacting with a reinforcement learning agent, and the environment model comprises a state space, an action space and a reward function; constructing a reinforcement learning model based on a dual depth Q network, and generating a training data set through iterative interaction between the intelligent agent and the environment model; and training the dual depth Q network by using the training data set and taking maximization of accumulated rewards as a target, and realizing step-by-step variable speed limit control of the highway construction area based on a trained model. According to the method, data driving is taken as a main part, the overall income brought by step-by-step variable speed limit control is represented by comprehensively using driving safety, high efficiency and system stability indexes, a more intelligent and dynamic speed limit control strategy is constructed, and the traffic efficiency and the traffic safety level are improved.

The invention belongs to an intelligent traffic system and artificial intelligence technology, and discloses a tunnel emergency speed limit decision support system and method. The method comprises the steps that a natural language instruction of a traffic management terminal is received and analyzed, and an unstructured current emergency scene is converted into a standardized parameter; based on the current emergency scene after parameter standardization, similarity retrieval is carried out in the historical simulation case library, a historical case with the highest matching degree is recalled, and an optimal control scheme and a recommendation index thereof are extracted from the historical case and recommended to a traffic management terminal; and performing result integration and output on the optimal control scheme recommended to the traffic management terminal and the recommendation index thereof. According to the method, a complete historical simulation case library and an efficient AI Agent retrieval matching engine are constructed, so that full-process automation from scene recognition to scheme recommendation is realized.

The invention provides a UWB-based vehicle-to-vehicle anti-collision method and device, and the method comprises the steps: obtaining distance measurement values outputted by at least two UWB base stations, and determining a target position and a target speed of a target vehicle according to the outputted distance measurement values; the target position is determined according to intersection points of at least two positioning circles and the track line, and the positioning circles take the UWB base station as the circle center and take the distance measurement value of the UWB base station as the radius; under the condition that the position information of the front vehicle is obtained, the spacing distance between the target vehicle and the front vehicle is determined according to the target position and the position information of the front vehicle; if the spacing distance is smaller than a preset distance threshold value, the target vehicle is controlled to conduct anti-collision early warning; and the maximum speed limit value of the target vehicle is determined according to the interval distance, if the target speed is larger than the maximum speed limit value, the target vehicle is controlled to conduct overspeed early warning, and the maximum speed limit value is determined according to the speed-distance safety braking curve. According to the invention, vehicle positioning can be rapidly realized, and the early warning accuracy is improved.

The invention relates to the technical field of train aided driving control, and discloses a train aided driving control method and system based on four-eye vision. The method comprises the steps that a forward four-eye camera array is used for synchronously collecting a front track image sequence, multi-scale feature synchronous extraction is carried out, and a unified sensing data block containing track geometry, identification semantics and an obstacle contour form is directly generated. On the basis, a space-time probability distribution diagram of collision threats is generated by constructing a virtual track reference surface and analyzing the spatial relationship between the dynamic target and the virtual track reference surface, so that the upgrading from discrete alarm to continuous risk prediction is realized. A preliminary control instruction is generated by combining speed limiting constraint and system deduction, then the instruction is cooperatively adjusted by combining the real-time traction braking state and a load signal of a train, and finally an executable closed-loop control instruction set is output. According to the method, the efficiency of environment perception and the perspectiveness and accuracy of decision control are improved.

The invention discloses a crown block speed control method, device and equipment, a medium and a product. The crown block speed control method comprises the following steps: determining a point to be decelerated, a deceleration target speed and an initial deceleration starting point according to speed limit information in a path label sequence associated with a crown block transportation task; after the crown block travels to the initial deceleration starting point, according to a preset triggering condition, the initial deceleration speed of the crown block is obtained multiple times, a final deceleration distance is determined according to the initial deceleration speed, the target deceleration speed and a preset deceleration limiting value, and a final deceleration starting point is determined based on the final deceleration distance; according to the deceleration initial speed, the deceleration target speed, the final deceleration distance, the crown block transportation task type and the label type in the path label sequence, an S-shaped speed curve is generated; and when the final deceleration starting point is reached, controlling the crown block to move based on the S-shaped speed curve until the to-be-decelerated point is reached. According to the technical scheme of the embodiment of the invention, the starting point of the deceleration point is dynamically adjusted to adapt to real-time path change.

A predetermined speed limit for vehicles on a road is checked by determining a situation-dependent suitable driving speed for driving on a route portion of the road, and if the suitable driving speed falls short of the predetermined speed limit, the predetermined speed limit is evaluated as unsuitable.

The invention discloses a divided-lane speed-limiting early warning indication method based on rainfall intensity. The method comprises the following steps: collecting monitored rainfall in a red line domain of a speed-limiting road and calculating the rainfall intensity; calculating the road surface water film thickness of each lane based on the rainfall intensity value; calculating the safety critical vehicle speed of each lane based on the road surface water film thickness of each lane; and issuing a speed limit value of each lane based on the safety critical vehicle speed of each lane and an originally set speed limit value of the road, and issuing a corresponding lane warning mark based on the water film thickness of each lane. The invention further discloses a divided lane speed limiting early warning indication system based on the rainfall intensity. The system comprises a rainfall monitoring module, a critical vehicle speed calculation module and a judgment display module. Different speed limit information is issued for different lanes according to rainfall conditions in real time, the problems that rainfall weather factors are neglected in existing speed limit management and road speed limit is set to be a fixed value according to road grades are solved, and the safety and toughness of a road to cope with different rainfall weather are improved.

The ramp combination method comprises the following steps: if the addition gradient, the ramp length and the average gradient of N continuous natural ramps meet the following inequalities, combining the N continuous natural ramps into a combined ramp; the invention further provides an auxiliary driving control method, when the auxiliary driving equipment controls a vehicle in a constant-speed area, natural ramps are combined according to the ramp combination method, and each combined ramp forms a control section; the auxiliary driving equipment calculates the energy required to be output by the locomotive for reaching the expected speed at the terminal point of each control section; and calculating the average traction power or the average electric power required in the control section according to the energy, and outputting a corresponding traction level or electric level control command to the locomotive. The method has the technical advantage that the actual running speed of the train cannot exceed the set speed band when the auxiliary driving equipment controls the train at the same control level within the combined ramp range.

The utility model discloses a road construction operation deploying and controlling trailer which comprises a bottom plate and a frame, movable solar cell panels capable of being unfolded and folded are installed on the two sides of the frame respectively, and a fixed solar cell panel is installed on the front side of the top of the frame. The rear side of the top of the frame is provided with a speed limit identification display module which can be unfolded and folded, and the rear end of the frame is provided with a guide arrow identification display module. A plurality of conical barrel stacking supports, a storage bin and a storage battery pack are installed on the bottom plate, and the storage battery pack is used for storing electric energy converted from solar energy and supplying power to the speed limiting mark display module and the guiding arrow mark display module. The storage battery is used for supplying power, space is saved, and environment friendliness is achieved; the tail is provided with a guide arrow to warn the rear, and safety is guaranteed; when arriving at the site, the system can be used immediately after being unfolded; a conical barrel bracket and a storage bin are arranged in the vehicle, so that the vehicle is portable; the whole vehicle is low and convenient to carry; voice alarm and Beidou positioning are realized at the tail of the vehicle, and local and remote dual control is supported.

This application relates to the field of underground transportation in coal mines and discloses a method for intercepting runaway speeding vehicles underground. The method includes: acquiring the vehicle speed and a preset speed threshold; triggering a hook to pop out downwards when the vehicle exceeds the speed limit; the hook inserts into a groove in the bottom plate and moves forward with the vehicle, physically connecting with an arresting cable in the shallow groove; the arresting cable, under traction, causes an upper sliding magnet to slide within a steel groove, generating friction and forming a first-stage braking force; the upper sliding magnet approaches a lower fixed magnet, generating a magnetic repulsion force of the same pole, which, combined with the friction force, forms a second-stage braking force until the vehicle stops; finally, the connection is released and the system is reset. This application achieves smooth vehicle interception through the two-stage superposition of friction and nonlinear magnetic repulsion, avoiding rigid impact; a power-off trigger mechanism ensures reliable interception when the vehicle is damaged due to power failure; and the reserved redundant rope segment at the end of the arresting cable compensates for tensile deformation, preventing cable overload and breakage.

This invention discloses a collaborative control method for highway merging zones based on deep reinforcement learning. A LiikeSim-Python co-simulation environment is established, and loop detectors are set up in the simulation environment to acquire traffic flow data upstream and downstream of the highway merging zone. An EM algorithm based on Gaussian mixture distribution is used as a traffic state classifier, taking the traffic flow data of the highway merging zone as input to classify the traffic state of the merging zone. A state space, action space, and reward function are designed. Using the state space of the highway merging zone as input and the actions of the variable speed limit agent and the ramp metering agent as output, a multi-agent shared experience network model under time-series characteristics is constructed. An independent experience pool is set up for the variable speed limit agent and the ramp metering agent, and the interaction experience between the agent and the traffic simulation environment is collected at the control cycle frequency. The agent model is trained using sampled data. The trained agent model is used to realize collaborative control of the highway merging zone. This invention can reduce travel delays in highway merging zones.

The invention relates to the technical field of road safety facilities, in particular to a gradient effect concave deceleration strip visual grading mark design method which comprises the steps that S1, basic design data of a target road scene are obtained, and the basic design data comprise a target limited vehicle speed numerical value and a total length numerical value of a deceleration area; s2, according to the basic design data, geometric configuration parameters of a plurality of concave speed reduction units sequentially arranged in the vehicle advancing direction are calculated, and the geometric configuration parameters comprise the concave depth numerical value of each concave speed reduction unit and the distance numerical value between every two adjacent concave speed reduction units; the concave depth value obtained through calculation presents a gradually increasing trend in the vehicle advancing direction. According to the method, the concave speed reduction units with the gradually-increased depth and the gradually-decreased interval are configured through an algorithm, the overspeed vehicle is forced to decelerate through non-linear amplified composite vibration, and the control efficiency of road section speed limiting is improved.

The application provides a high-precision map updating method and device, equipment and a storage medium, which can be used in the field of intelligent transportation technology. The method comprises the following steps: obtaining layer vehicle speed limit sign information in a preset area obtained through crowdsourcing data, the layer vehicle speed limit sign information being stored in a preset layer, the preset layer being located in a vehicle cloud device, and the preset layer storing layer vehicle speed limit sign information corresponding to a plurality of roads in the preset area; in response to the layer vehicle speed limit sign information being the latest stored vehicle speed limit sign information, obtaining a collection result when an actual vehicle speed limit sign information is collected by a vehicle sensor; obtaining an original high-precision map in the preset area; and updating the original high-precision map according to the collection result and the layer vehicle speed limit sign information to obtain an updated high-precision map. The method of the application increases the safety of intelligent driving vehicles and improves the user experience.

A method for determining a tread remainder on a tire is provided in which first speed data and second speed data of a vehicle are obtained, the second speed data being derived in part from a measurement of a rotational frequency of the tire. The first velocity data is filtered to obtain extracted filtered first velocity data that exceeds a first predefined velocity limit, and the second velocity data is filtered such that filtered second velocity data that exceeds a second predefined velocity limit is extracted. A ratio is calculated using the filtered first velocity data and the filtered second velocity data. Further, the method includes comparing the ratio to a tire model correlating the ratio to a tread remainder in order to determine the tread remainder on the tire.

The present application relates to the technical field of driving safety, and in particular to a driver behavior evaluation method and system based on driving scenarios, which includes breaking through the limitations of a single data source by integrating multi-dimensional heterogeneous data such as weather, roads, facilities, etc., improving the comprehensiveness and accuracy of accident risk prediction; through dynamic calibration of driving scenario labels, the model can adapt to complex and variable actual driving environments, enhancing the generalization ability; through the division of traffic states and feature quantization, the subjectivity of artificial threshold setting is reduced, which helps to discover the implicit features ignored by traditional methods; through optimization of the scene-specific driver behavior evaluation model, driver behavior optimization suggestions under multiple constraints are generated, reducing traffic flow fluctuations caused by excessive speed limits, while reducing the probability of accidents in high-risk scenarios, achieving the coordinated optimization of safety and efficiency.

This disclosure provides a method, apparatus, and electronic device for road speed recommendation, relating to the field of computer technology, particularly artificial intelligence, large-scale models, natural language processing, deep learning, mapping, and lane-level navigation. The specific implementation involves: acquiring vehicle trajectory data on roads associated with a map road network; wherein each road includes at least one road segment, and the vehicle trajectory data includes speed values ​​corresponding to multiple trajectory points; for any given road segment, determining a target trajectory point matching the road segment from the multiple trajectory points; determining the target trajectory speed of the road segment based on the speed value corresponding to the target trajectory point; fusing the target trajectory speed and target speed limit of at least one road segment to obtain the recommended speed for each road segment; wherein the recommended speed is used to provide speed recommendations for vehicles.

The utility model relates to the technical field of warning boards, and discloses a speed limit warning board convenient to fold, which comprises a speed limit board I, a speed limit board II, supporting legs and a warning lamp, the structure of the speed limit board I is the same as that of the speed limit board II, and the speed limit board I is positioned above the speed limit board II; multi-dimensional hinges are installed at the two ends between the rear portion of the first speed limiting board and the rear portion of the second speed limiting board, and supporting legs are installed at the lower ends of the inner sides of the multi-dimensional hinges. The warning lamp is installed and distributed at the upper end of the front portion of the first speed limiting board. According to the speed-limiting warning board convenient to fold, the first speed-limiting board and the second speed-limiting board which are connected through the multi-dimensional hinge are adopted, storage and folding of the up-down overturning supporting legs and the inner-outer overturning supporting legs are achieved, transportation and storage are convenient, the warning board can play a role more timely, the warning lamp is installed at the upper end of the front portion of the first speed-limiting board, the position is striking, and the warning effect is good. And the working state of safety warning is always ensured.

The invention discloses a divided lane speed limit early warning indication method based on the road surface water film thickness. The road surface water film thickness of each lane in a red line domain of a speed limit road is collected; calculating the safety critical vehicle speed of each lane based on the road surface water film thickness of each lane; and issuing a speed limit value of each lane based on the safety critical vehicle speed of each lane and an originally set speed limit value of the road, and issuing a corresponding lane warning mark based on the water film thickness of each lane. The invention further discloses a divided lane speed limiting early warning indication system based on the road surface water film thickness. The divided lane speed limiting early warning indication system comprises a water film thickness monitoring module, a critical vehicle speed calculation module and a judgment display module. Different speed limit information is published for different lanes according to the water film thickness of each lane in real time, the problem that the road speed limit is set to be a fixed value according to the road grade is solved, and the safety toughness of the road to cope with different rainfall weathers is improved.

The application provides a vehicle energy recovery method and device, a vehicle and a readable storage medium, and belongs to the technical field of vehicles.The vehicle energy recovery method comprises the following steps: acquiring road attribute data sent by a third-party data terminal in real time, and reconstructing the road attribute data into a preset data storage matrix; extracting position information of an electronic device on a path in front of the vehicle from the data storage matrix; the electronic device is an electronic device used for speed limit photographing; determining whether a target electronic device exists according to the position information of the electronic device; if it is determined that the target electronic device exists, the energy recovery function of the vehicle is activated; the target electronic device refers to an electronic device with a distance less than a preset distance from the vehicle.The energy recovery function of the vehicle is activated based on speed limit electronic device identification, which is more reasonable, can better fit the user's use scenario, and improves the energy utilization rate.

The invention discloses a method and device for generating or updating road speed limit information, and relates to the technical field of maps. The specific embodiment of the invention comprises the following steps: extracting a plurality of track points from acquired vehicle track information; a travelable road in a preset area is determined from the obtained road network information, the travelable road is divided into a plurality of logic road sections according to a preset length, a plurality of feature points are determined in each logic road section, and the feature points are starting points, ending points or direction turning points of the logic road sections; based on the plurality of feature points of each logic road section, determining a road surface area corresponding to the plurality of feature points, and searching a target track point located in the road surface area from the plurality of track points; the target speed limit of the logic road section is determined by using the vehicle running speed in the vehicle track information of the target track point, and the speed limit information corresponding to the logic road section in the map is generated or updated based on the target speed limit, so that the road speed limit better conforms to the actual road condition of the road, and the road passing efficiency and the road traffic safety are improved.

This application relates to a method, device, and vehicle for intervening in abnormal driving. The method includes: determining the current driving safety level of the vehicle and a safety limit coefficient corresponding to the driving safety level; if the driving safety level exceeds a preset level, then upon receiving the original required torque and / or original speed limit of the current vehicle, intervening based on the safety limit coefficient to control the driving action of the current vehicle. This method can improve the safety of vehicle driving.