798 results about "Speed limit" patented technology

The invention provides an accident liability intelligent determination method and system fused with video tracking, and the method comprises the steps: S1, carrying out the alignment evidence collection of a video, an IMU, a GPS, and an OBD, and forming an evidence chain through framing Hash, chain Hash, and a timestamp; s2, completing detection segmentation on the shared trunk multi-branch network; s3, in combination with appearance re-identification and a motion model, realizing cross-frame association, and outputting track, speed and shielding recovery; s4, mapping the trajectory to BEV according to depth and calibration, and constructing a space-time scene graph by fusing lanes, signals, speed limit and the like; s5, extracting events such as lane changing, line merging and signal rushing, and positioning a conflict point and a way giving relation; s6, generating error factors according to a rule base and priority judgment; s7, quantifying the responsibility proportion according to the weight, the collision participation time and the reaction time; and S8, generating a report evidence of the key frame and the rule list. The system is composed of an acquisition evidence obtaining module, a video understanding tracking module, a space-time reconstruction module, an event extraction module, a rule reasoning module, a responsibility quantification module and a report evidence storage module.

The invention relates to a road section risk early warning method based on thunder-vision fusion perception, and the method comprises the following steps: S1, obtaining the high-precision space-time position information of a vehicle in a tunnel through the multi-source information fusion of a millimeter-wave radar and machine vision; s2, mapping the vehicle position under the global coordinate system to a coordinate system expanded along a road center line, and representing the vehicle position as a longitudinal projection position and a transverse offset along the road direction; s3, under the coordinate system, taking anti-collision time as a core index, combining lane judgment and relative speed, constructing a dynamic longitudinal risk grading model, and performing linkage triggering with a warning system; s4, constructing a regional risk integral model; and S5, speed limiting information is issued to all driving-in vehicles in real time through the variable speed limiting screen, and the rear-end collision risk is actively prevented and controlled. According to the method, the sudden risk response time can be shortened, the speed limit control response precision can be improved, the rear-end collision rate of the diversion and convergence areas can be reduced, false alarm interference can be reduced, and the tunnel driving safety and the information guiding efficiency can be improved.

The invention belongs to the technical field of roads and bridges, and discloses a bridge floor icing traffic safety intelligent monitoring and early warning method, which comprises the following steps: S1, bridge floor time-varying temperature multi-source prediction based on thermal environment change; s2, predicting the time-varying friction coefficient of the frozen bridge floor based on the temperature field; s3, icing driving safety prediction based on the friction coefficient and the line condition; and S4, bridge deck icing traffic safety comprehensive speed-limiting intelligent early warning is carried out. The core innovation of the invention lies in a full-chain intelligent early warning system, through a closed-loop process of multi-source temperature prediction, dynamic friction modeling, driving safety evaluation and intelligent speed limit decision, the early warning precision and practicability are significantly improved, and through a technical path of data driven prediction, accurate safety evaluation and intelligent decision output, the early warning precision and practicability are improved. The technical performance, the economic benefit and the social safety are all broken through, and a good solution is provided for road traffic safety in winter.

The invention relates to an ice and snow disaster variable speed limit control method and system based on a friction coefficient, and belongs to the field of intelligent traffic. According to the method, a set of variable speed limit control units are arranged on a road at intervals, and all the variable speed limit control units are in communication connection with a centralized decision-making unit through communication modules; each set of variable speed-limiting control unit detects traffic flow data, meteorological environment data and road condition data of a lane level in real time, uploads the data to the centralized decision-making unit, determines an optimal lane-level variable speed-limiting control scheme and an optimal deicing and snow-removing scheme through a decision-making optimization algorithm, and issues the optimal lane-level variable speed-limiting control scheme and the optimal deicing and snow-removing scheme to the variable speed release module; and the variable speed release module releases a lane level variable speed limit control scheme of a corresponding section, namely the lowest speed limit value, the highest speed limit value, the suggested speed and the like of each lane, and performs deicing and snow removal operation according to the deicing and snow removal scheme so as to ensure road traffic safety in ice and snow weather. The road traffic safety guarantee level is improved through variable speed limiting.

Systems, methods, and devices described herein can be used to dynamically determine and modify driving parameters for a vehicle, such as an autonomous or semi-autonomous vehicle. An example vehicle system can be configured to: monitor a vehicle's geographic location; obtain data corresponding with the vehicle's geographic location; determine one or more traffic flow characteristics; determine one or more traffic flow characteristics based at least on the data; and determine one or more target driving parameters (e.g., a safe speed limit) for the at least one vehicle based at least on the one or more traffic flow characteristics.

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 bridge floor global driving wind environment early warning method, system and device based on limited measuring points and a storage medium, and relates to the technical field of wind speed early warning and artificial intelligence. Future short-time wind speed is predicted based on wind speed time history data, and a two-dimensional high-temporal-spatial-resolution prediction flow field of multiple planes is obtained according to the future short-time wind speed; main beam global wind-induced vibration response data are obtained based on the wind-induced vibration response data; obtaining three-dimensional high-temporal-spatial-resolution prediction flow field data according to the two-dimensional high-temporal-spatial-resolution prediction flow field and the girder global wind vibration response data; analyzing the three-dimensional high-temporal-spatial-resolution prediction flow field data to obtain a safe driving critical wind speed, and setting a wind speed-vehicle speed limiting criterion; and when the predicted wind environment exceeds the wind speed limit criterion, outputting the predicted data and the early warning level of the corresponding driving wind environment, and carrying out advanced early warning. According to the invention, the problem of low accuracy of existing driving safety early warning is solved, and wind speed multi-stage early warning for different vehicles in different driving environments is realized.

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 synergy control method for a confluence area based on Rainbow DQN and a driving risk field, relates to the technical field of traffic safety, and aims to solve the problems that the overall traffic quality of mixed traffic flow is reduced and the confluence risk is increased due to the fact that a control logic is not matched with a real-time risk in an existing signal control method for the confluence area of an expressway. According to the invention, by considering the CAV-containing mixed traffic flow of the main line of the confluence area, the main line traffic flow information and the ramp queuing information, the state space and the action space of the cooperative control agent are designed in a refined manner, and a reward function considering the traffic efficiency, the traffic safety and the cooperative interaction is provided; therefore, the main line speed limit value can be dynamically controlled, the ramp queuing vehicles are dynamically coordinated, the main line CAV vehicle driving track is induced, and the passing efficiency and the traffic safety are effectively improved. The overall traffic quality of the mixed traffic flow is ensured, and the confluence risk is reduced.

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 relates to the technical field of automobiles, in particular to an intelligent speed limiting control method for a new energy commercial vehicle, which comprises the following steps of: judging a driving state based on a vehicle driving speed so as to judge a vehicle speed limiting mode; verifying the effectiveness of the load signal, and updating the speed limiting mode of the vehicle; dividing the vehicle load state according to the load signal, and setting an intelligent speed limit value according to the vehicle load state; adjusting the intelligent speed limit value based on the external cooperative speed limit value; the vehicle overspeed state is judged according to the vehicle running speed and the intelligent speed limiting value, and slow speed control is carried out; and optimizing a vehicle speed limit mode based on the vehicle driving speed. Logic judgment is carried out through the vehicle control unit, graded speed limiting is carried out for several states such as no-load, half-load and full-load states, a driver is restrained during heavy load, the accident rate is reduced, the high vehicle speed is maintained during no-load, and the vehicle operation benefits are guaranteed.

The invention relates to the technical field of intelligent traffic, in particular to an intelligent speed auxiliary test method and system, and the method comprises the steps: enabling a vehicle-mounted camera collection unit to collect an original video stream in real time, enabling a synchronous collection unit to be in butt joint with a GPS to obtain positioning information and a PPS time reference, and synchronously collecting a speed limit value and a timestamp outputted by an ISA system; performing time sequence alignment on the original video stream, performing data preprocessing to obtain a standardized image set, and performing time synchronization by using a time reference; inputting the standardized image set into a target detection model to obtain a guideboard bounding box, a category label and an initial confidence coefficient, and filtering invalid guideboard events; when an effective guideboard event is detected, associating the time-synchronized data with the event to obtain an associated event packet; and judging whether the speed limit value output by the ISA system is correct or not from multiple dimensions according to the associated event packet, and carrying out grading processing in combination with confidence to obtain a standardized test report. According to the scheme, the test precision is improved through multi-source synchronization.

A speed limiting control method and apparatus for a vehicle, and a vehicle and a storage medium. The method comprises: when it is detected that a vehicle meets a speed limiting condition, acquiring in real time a travelling scenario of the vehicle; and during the travel of the vehicle, performing speed limiting control on the vehicle on the basis of a speed limiting policy corresponding to the travelling scenario. By means of the speed limiting control method for a vehicle, speed limiting is performed on a vehicle on the basis of travelling scenarios of the vehicle, thereby avoiding the problem of poor user experience caused by the use of a single speed limit.

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 present invention discloses a method for determining route-associated block partitions based on virtual block partitions within a station, and relates to the technical field of temporary speed limit logic operations in the train control center system in the field of rail transit. The method for determining route-associated block partitions provided by the present invention proposes the concept of "block partitions within a station", extends the concept of traditional block partitions to the station, and merges specific sections within the station into virtual "block partitions". A complete method for determining "block partitions within a station" is proposed, and based on this, according to the different route types and combined with the main line signal data table, the associated block partitions of different types of routes can be calculated. The concept of "block partitions within a station" proposed by the present invention can extend the definition of block partitions to the station, and merge specific sections within the station into virtual "block partitions". In this way, the unification of the speed limit processing logic of the interval and the station can be achieved, module reuse can be improved, and maintenance costs can be 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.

The invention relates to a manual driving vehicle overspeed behavior identification and intervention method based on a detection carrier, and the method comprises the steps: building a detection carrier system, collecting adjacent HV point cloud data through a laser radar, carrying out the median average filtering, K-Means and DBSCAN combined clustering preprocessing, and achieving the multi-target dynamic tracking through a Point Pill + DeepSORT model; and calculating the real average speed of the HV by using a 1-3s self-adaptive speed measurement window, and comparing the road speed limit to complete the overspeed identification. And when overspeed is judged, dynamically triggering a corresponding high-speed camera to capture, extracting license plate information, fusing speed and GPS data to generate illegal evidence. The method comprises the following steps: quantifying the influence of a detection carrier on an HV individual overspeed behavior, training an HV swarm agent based on VAE-WGAN data enhancement and a double-branch deep Q network, simulating multiple traffic scenes in SUMO, and determining an optimal deployment scheme of the detection carrier by using a dynamic Gaussian mixture Bayesian network and a double-layer double-target optimization model. The method breaks through the limitation of traditional speed measurement, improves the recognition precision and deterrence effect, and balances the traffic safety and efficiency.

The invention discloses a vehicle energy recovery control method and related equipment, and relates to the technical field of new energy vehicles, and the method comprises the following steps: obtaining multi-source road condition data of a target vehicle; under the condition that the target vehicle meets a preset energy recovery condition, determining an initial recovery torque based on the front vehicle dynamic data and the navigation speed limit data; based on the road slope data, correcting the initial recovery torque to obtain a target recovery torque; and controlling the target vehicle to execute energy recovery operation based on the target recovery torque. According to the method, the recovery torque is dynamically calculated and corrected by fusing the multi-source road condition data, so that the energy recovery efficiency can be improved, the driving comfort can be enhanced, and the driving safety can be guaranteed.

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 speed limit information fusion method and device, and the method comprises the steps: obtaining map speed limit information and map speed limit confidence based on a map navigation system; acquiring image data in front of a road, and recognizing speed limit information in the image data through a speed limit recognition model to obtain camera speed limit information and camera speed limit confidence; taking the map speed limit confidence coefficient and the camera speed limit confidence coefficient as prior probabilities, and obtaining a posterior probability through a Bayesian algorithm based on the prior probabilities and the conditional probabilities; and the final speed limit information is determined based on the posterior probability, the map speed limit information and the camera speed limit information, so that the accuracy and reliability of the speed limit information are improved.

A travel assistance device configured to detect a surrounding environment of a first vehicle by an onboard sensor of the first vehicle and assist the autonomously traveling first vehicle in traveling includes at least one computer configured to perform processing including: setting allowable travel speed, that is a speed at which the first vehicle can be caused to travel under autonomous driving control, to a speed lower than a legal speed or a set speed, that is a speed set by a user, according to a recognition state of the onboard sensor or a vehicle state of the first vehicle; and generating an alternative route including a road having a speed limit less than or equal to the allowable travel speed as a target travel route of the first vehicle, based on the current position of the first vehicle, the destination of the first vehicle, and the allowable travel speed.

Systems and methods for associating vehicle trip data with a base map are provided herein. Systems and methods for providing vehicle trip data showing the greatest usage of routes between an origin and destination are also provided. Systems and methods for predicting a speed limit of a road based on vehicle trip data are also provided. Systems and methods for providing vehicle trip data showing popular stops between an origin and a destination are also provided. Systems and methods for providing contiguous region identification based on vehicle trip data are also provided.

The invention relates to a vehicle control method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring preset speed limit information corresponding to a plurality of different road positions; in the driving process of the vehicle on the first road, determining a first driving position of the vehicle on the first road and a road speed limit of the vehicle on a second road behind the first road; screening a target position matched with the first driving position from the road positions; under the condition that the first preset speed limit exists in the preset speed limit information corresponding to the target position, the target speed is obtained based on the difference between the first preset speed limit and the road speed limit; and controlling the vehicle to run on the second road at the target speed. By adopting the method, the safety and convenience of vehicle driving can be improved.

The present invention is an apparatus for moderating the speed of a vehicle. A non-Newtonian fluid is encased in a durable, flexible enclosure that is positioned in a traffic area. An example embodiment is a form that is higher than a road surface. A vehicle approaching the apparatus at a low speed imparts an impact force below the threshold, causing the fluid to remain in its liquid state. This allows the vehicle's wheels to depress into the apparatus, thereby passing over the apparatus with little to no resistance. A vehicle approaching the apparatus at a high speed imparts an impact force above the threshold, causing the fluid to behave as a solid, thus impeding or stopping the vehicle's movement. Another embodiment is lower than a road surface and is configured to trap slow moving vehicles while allowing fast moving vehicles to pass.

Systems and methods for range extension with optimal traction control for multi e-axle based electrified vehicles are disclosed. The systems and methods optimize the operation of electric vehicles with multiple e-axles by generating optimal torque profiles based on look-ahead information about road conditions and optimally distributing torque between e-axles to minimize energy losses and extend driving range. The optimal traction control system operates in three main steps: first, generating an optimal torque profile based on look-ahead information about road grade and speed limits; and second, optimally allocating the requested torque between multiple e-axles to minimize energy losses. Third, dynamic drive control for electric machine to track optimal torque with minimized current. The optimal torque profile follows the trend of the road grade, providing more torque on uphill sections and less torque or even negative torque on downhill sections.

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 construction management, in particular to a road construction management system based on cloud computing, which comprises a cloud density sensing module, a construction task disassembling module, an equipment scheduling conflict identification module, a resource throttling rate matching module and a dynamic risk early warning defining module. According to the method, the aggregation tasks are disassembled and the priorities are adjusted by identifying and labeling the high-load construction area and combining the process dependence degree, the task organization sequence of the high-density area is effectively optimized, and the equipment resource use conflicts are identified through cross judgment of the scheduling time periods among the processes; whether scheduling overrun exists or not is judged in combination with the equipment utilization rate and the resource scheduling rate, standby equipment is matched in time or speed limiting regulation is implemented, an early warning boundary is established through included angle change rate and path intersection judgment, and forward risk prompt and path boundary calibration of personnel and equipment intersection points are achieved; and the organization efficiency, the resource collaboration and the safety control precision in a high-density working environment are improved.

A method for obtaining vehicle speed limit information comprises the steps that a first speed threshold value displayed on a speed limit board is obtained from a camera system; obtaining a second speed threshold value from the navigation system; and obtaining a speed limit value based on the first speed threshold value and the second speed threshold value.

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 a predictive maximum vehicle speed limiting method and device, and the method comprises the steps: obtaining a target vehicle speed according to the speed-limiting vehicle speed and the current vehicle speed of a vehicle, and determining a vehicle speed limiting state according to the target vehicle speed, the speed-limiting vehicle speed and the current vehicle speed; when the vehicle speed limiting state is a speed limiting state or a pre-speed-limiting state, determining that the vehicle enters a control position of predictive control according to the slope section type, the slope and the difference value between the speed limiting vehicle speed and the current vehicle speed in the ramp information, and when the vehicle runs to the control position and enters predictive control, regulating and controlling the speed limiting vehicle speed. Therefore, the maximum speed of the vehicle is limited; through a predictive regulation and control strategy, the speed-limiting vehicle speed is actively adjusted before the vehicle enters a complex road condition, meanwhile, the target speed-limiting vehicle speed is dynamically adjusted based on multi-dimensional parameters, the problems of large vehicle speed fluctuation, dynamic response lag and the like existing in a traditional feedback control mode are effectively solved, and the method has the advantages of improving driving comfort, fuel economy and control precision.