22 results about "Intersection model" patented technology

The invention discloses a traffic signal lamp adaptive timing control method based on deep reinforcement learning. The method comprises the following steps: obtaining a real-time traffic state based on a pre-constructed urban intersection model; based on the real-time traffic state, a theoretical optimal action is generated through a pre-trained traffic signal control model based on a depth deterministic strategy gradient algorithm, the theoretical optimal action comprises a plurality of single actions in one-to-one correspondence with the traffic lights, and each single action comprises an action state and an action duration; comparing the theoretical optimal action with a predetermined standard action interval, and correcting the theoretical optimal action according to a comparison result to obtain an actual optimal action; and controlling the traffic signal lamp based on the actual optimal action. The invention provides a traffic signal lamp adaptive timing control method and system based on deep reinforcement learning. The traffic signal lamp adaptive timing control method and system can control traffic signal lamps more flexibly and accurately.

The invention relates to an intersection modeling and signal lamp control optimization method based on a fuzzy neural Petri network, and belongs to the technical field of traffic signal lamp control. The method comprises the following steps: performing read-only arc and suppression arc attribute extension on directed arc basic attributes of a continuous Petri network, and constructing an intersection traffic flow and road section model and an intersection signal lamp model by using the extended continuous Petri network; secondly, introducing a fuzzy Petri network, expanding the basic attribute of the change of the fuzzy Petri network, and constructing an intersection signal lamp fuzzy control model by using the expanded fuzzy Petri network; thirdly, an adaptive control intersection model based on a continuous Petri network and a fuzzy Petri network is constructed through replacement operation, and signal lamp adaptive control is achieved. Compared with a fixed timing scheme and an optimization scheme which only considers the vehicle queuing length, the evaluation indexes such as the average time loss, the average waiting time and the total number of vehicles in the phase time have the advantage of improving the traffic capacity of the intersection.

The invention discloses a design and operation simulation method of a multi-ring low-altitude roundabout three-dimensional intersection. The method comprises the following steps: constructing a multi-ring low-altitude roundabout three-dimensional intersection model; defining operation rules of the multi-ring low-altitude roundabout three-dimensional intersection; an operation simulation environment is constructed, intersection parameters are set, and simulation parameters are set; a conflict detection and resolution algorithm based on trajectory pre-planning is adopted for simulation, and aircraft operation is simulated in real time. According to the method, by constructing the multi-ring concentric structure with the gradually-increased radius, traffic flows with different intentions are thoroughly separated in the physical space, and airway interleaving points and conflict bottlenecks are remarkably reduced. Meanwhile, the invention provides a simulation evaluation means for the operation performance of the intersection, and provides reliable technical support for urban low-altitude traffic network planning. The method can be widely applied to the field of low-altitude traffic control.

The present invention provides a method, system, equipment, and medium for processing weld grooves of intersecting circular tube intersection lines, comprising: constructing an intersecting circular tube intersection model using analytic geometry based on collected intersecting circular tube intersection data; constructing a ruled surface based on the intersecting circular tube intersection model, and performing surface trimming processing based on the ruled surface to obtain a groove surface model; performing groove surface simulation processing based on the groove surface model to obtain a groove simulation processing scheme; wherein the intersecting circular tube intersection model includes at least one or more of the following: an intersection line model, a groove line model, an unfolded line model of the intersection line, and an unfolded line model of the groove line; and the intersecting circular tube intersection data includes at least one or more of the following: main pipe data and branch pipe data. By combining modeling with processing simulation, the present invention realizes the transition from model to entity simulation processing of groove surface processing, expands the processing range of large-scale circular tube intersection lines, and improves processing efficiency.

The invention relates to the technical field of traffic signal control, in particular to a waiting area signal-containing intersection model under a colored Petri network and a control method. Defining an intersection; constructing a modular model of an intersection path according to the definition of the intersection; according to the definition of the intersection, constructing an intersection path signal control modular model which comprises a path signal control model without a waiting area and a path signal control model with a waiting area; and constructing a Petri network model of the intersection by combining the modular models of the paths so as to establish a control model of the signalized intersection. The model constructed by the invention can flexibly switch the signal lamps of the waiting area and the non-waiting area, is suitable for various intersection types with the waiting area and without the waiting area, and can reduce and even avoid traffic accidents caused by the fact that a driver cannot respond in time due to signal lamp switching.

The present invention relates to the technical field of traffic signal control, and in particular to a signal intersection control system and method based on colored Petri nets. The present invention determines the position of a vehicle counter according to the definition of an intersection; tokens of different colors are used to represent different vehicle types; a modular model of an intersection path and a modular model of intersection path signal control are constructed according to the definition of an intersection; a Petri net model of an intersection is constructed by combining the modular models of the paths to establish a control model for a signal intersection. The model constructed by the present invention can well distinguish different types of vehicles, simulate various processes of vehicles passing through an intersection, and construct a complete intersection model by combining modular models. It has strong universality and is suitable for different types of intersections; the constructed model can flexibly connect to a signal control optimization model that meets the requirements, thereby improving traffic efficiency while ensuring vehicle safety.

The invention discloses an intersection signal control method and system, and the method comprises a method for generating a corresponding basic control scheme for constructing an intersection, and comprises the following steps: merging the driving paths of the constructed intersection, and obtaining a plurality of driving path groups; determining a conflict relationship between the driving path groups, and constructing an undirected graph based on the conflict relationship to obtain the intersection model; extracting a local maximum complete sub-graph of the intersection model, and determining a path group set corresponding to the local maximum complete sub-graph based on the driving path group corresponding to each local maximum complete sub-graph; and generating a corresponding basic control scheme based on the path group set. According to the method, the intersection model is constructed based on the undirected graph, and the conflict relationship between the driving paths is clarified based on the intersection model, so that the construction of the intersection model is not limited by the road layout, and the method has universality.

The invention relates to the technical field of traffic signal control, in particular to a signal intersection model based on a colored Petri network and a control method. The model determines the position of a vehicle counter according to the definition of an intersection; tokens with different colors are adopted to represent different vehicle types; constructing a modular model of an intersection path and a modular model of intersection path signal control according to the definition of the intersection; and constructing a Petri network model of the intersection through the modular model of the combined path so as to establish a control model of the signalized intersection. According to the model constructed by the invention, different types of vehicles can be well distinguished, each process that the vehicles pass through the intersection is simulated, and a complete intersection model is constructed by combining modular models, so that the model has extremely high universality and is suitable for different intersection types; and the constructed model can be flexibly and externally connected with a signal control optimization model meeting requirements, so that the passing efficiency is improved on the premise of ensuring the vehicle safety.

A method for determining the trajectory of a vehicle traveling on a roadway, the method being implemented by a device comprising at least one computer, characterized in that it comprises: obtaining a set of data relating to the vehicle's path, including at least: high-definition map data, a vehicle route, detecting, from the data obtained, at least one intersection on the vehicle route, determining an intersection model from the detected intersection and the data set obtained, and determining, from the determined intersection model and the vehicle's route within the determined intersection model, a trajectory to be followed by the vehicle in the vicinity of the intersection and for crossing the intersection. Abstract: Figure 1

The invention relates to the technical field of digital path planning, in particular to a Grasshopper-based cylindrical workpiece surface track extraction and path planning method, which comprises the following steps of: acquiring parameters of a user-defined input end; establishing a parameterized two-workpiece intersection model based on the user-defined input end parameters; extracting an intersection track curve of the parameterized two-workpiece intersection model; carrying out point segmentation on the intersection track curve, and extracting to obtain an intersection point coordinate data list; calculating an intersection point coordinate data list, and calculating to obtain the displacement of each curve section along the X-axis direction, the rotation angle around the axis of the workpiece and the arc length on the YZ plane; and calculating and generating path tracking speed data of the surface track of the cylindrical workpiece by combining the tracking required speed, the displacement along the X-axis direction and the rotation angle and the arc length around the axis of the workpiece. According to the method, rapid and universal path planning is realized, and the path can be updated in real time only by modifying input parameters.

This application relates to a parametric generation method and system for the three-dimensional spatial form of urban buildings, belonging to the field of urban planning technology. The method includes: inputting a target spatial range and building layout parameters; generating building layout areas using a polygon segmentation algorithm; obtaining the two-dimensional base surface of the building to be generated using a maximum inscribed rectangle and orientation algorithm; obtaining building spacing buffers using a buffer algorithm; S5, obtaining the available remaining spatial range using a nine-intersection model algorithm; S6, repeatedly iterating the remaining spatial range to generate a set of all two-dimensional base surfaces of the buildings; performing three-dimensional extrusion on each surface of the set to generate a primary building model at LOD1 level; generating the three-dimensional geometry of the roof of each primary building model to obtain a building model at LOD2 level; applying textures and materials to the building model to obtain a building model at LOD3 level; and exporting the building model into a general three-dimensional model format. This application, through parameter-driven and intelligent iteration, can quickly generate three-dimensional building layouts and models that meet the requirements of the latest planning regulations.

The application relates to the technical field of automatic driving, in particular to an automatic driving decision-making method for a lane-constraint-free intersection based on proximal policy optimization, which comprises the following steps: a typical intersection model without signal control is constructed, and a lane-constraint-free driving area is arranged in the central area of the intersection; a driving function of an automatic driving vehicle is designed to guide the automatic driving vehicle to realize safe and efficient passing under the condition of lane constraint; a proximal policy optimization algorithm is designed to construct a policy probability density function, and an acceleration change and a steering angle change are obtained by sampling the policy probability density function, so that the automatic driving vehicle realizes lane-constraint-free driving and collision avoidance. The application can control the automatic driving vehicle to realize lane-constraint-free driving in the central area of the typical intersection without signal control, and effectively improves the space utilization and passing capacity of the central area of the intersection.

The application relates to a kind of intersection modeling and signal light control optimization method based on fuzzy neural Petri net, belong to traffic signal light control technical field.The application uses the attribute extension of only read arc and suppression arc attribute to the basic attribute of the directed arc of continuous Petri net, constructs intersection traffic flow and section model and intersection signal light model using the extended continuous Petri net;Second, introduce fuzzy Petri net, and extend the basic attribute of fuzzy Petri net transition, and construct intersection signal light fuzzy control model using the extended fuzzy Petri net;Third, by replacement operation, construct adaptive control intersection model based on continuous Petri net and fuzzy Petri net, realize signal light adaptive control.Compared with fixed timing scheme and optimization scheme considering only vehicle queue length, the evaluation index such as average time loss, average waiting time and total number of vehicles in phase time has advantages in improving intersection traffic capacity.

A calibration method for a signal - free intersection model based on UAV aerial photography data, belonging to the field of intelligent transportation technology. To improve the simulation results of the two - parameter gap - acceptance model, the present invention includes obtaining road network data, collecting vehicle trajectory data and intersection aerial images through UAVs; processing the obtained road network data, merging one - way lines of the road network, and then classifying intersections to be calibrated; processing the obtained vehicle trajectory data, removing missing or abnormal data to obtain processed vehicle trajectory data; associating the obtained processed vehicle trajectory data with the corresponding intersection turns; calibrating the expected speeds for different types of intersections and different turns; calibrating the critical gaps and critical waiting times for different types of intersections. The present invention optimizes the simulation results of the two - parameter gap - acceptance model.

The invention relates to the technical field of automatic driving, in particular to a lane-constraint-free intersection automatic driving decision-making method based on near-end strategy optimization, and the method comprises the following steps: constructing a typical intersection model without signal lamp control, and setting a lane-constraint-free driving region in a central region of the intersection; designing a driving function of the automatic driving vehicle for guiding the automatic driving vehicle to realize safe and efficient passing under the condition of no lane constraint; a near-end strategy optimization algorithm is designed to construct a strategy probability density function, and the strategy probability density function is sampled to obtain an acceleration variable quantity and a steering angle variable quantity, so that the automatic driving vehicle is controlled to realize lane-constraint-free driving and collision avoidance. According to the method, the automatic driving vehicle can be controlled to realize lane-constraint-free driving in the typical intersection center area without signal lamp control, and the space utilization rate and the traffic capacity of the intersection center area are effectively improved.

The invention relates to a method for determining the trajectory of a vehicle travelling on a roadway, the method being implemented by a device comprising at least one computer, characterised in that it comprises: - obtaining a set of data relating to the path of the vehicle, comprising at least: - high-definition map data and - an itinerary of the vehicle; - detecting, on the basis of the data obtained, at least one intersection on the itinerary of the vehicle; - determining an intersection model on the basis of the intersection detected and the set of data obtained; - determining, on the basis of the determined intersection model and the itinerary of the vehicle in the determined intersection model, a trajectory to be taken by the vehicle in the vicinity of the intersection and in order to cross the intersection.

The invention discloses a non-signalized intersection model calibration method based on unmanned aerial vehicle aerial photography data, and belongs to the technical field of intelligent traffic. In order to improve a simulation result of a two-parameter gap acceptance model, the method comprises the following steps: acquiring road network data, and acquiring vehicle trajectory data and an intersection aerial photo through an unmanned aerial vehicle; processing the obtained road network data, merging road network unidirectional lines, and then classifying intersections with to-be-calibrated parameters; processing the obtained vehicle trajectory data, and removing missing or abnormal data to obtain processed vehicle trajectory data; associating the obtained processed vehicle track data with the corresponding intersection turning direction; calibrating expected speeds of different types of intersections and different turning directions; and calibrating critical gaps and critical waiting time of different types of intersections. According to the method, the simulation result of the two-parameter gap acceptance model is optimized.

The present invention provides a method and system for generating three-dimensional holographic intersections based on laser point cloud technology, and relates to the technical field of intelligent traffic management. The method for generating three-dimensional holographic intersections comprises the following steps: establishing a three-dimensional intersection model corresponding to the overall structure of the intersection; obtaining the position information of a mobile target in the overall structure of the intersection and the scanning data corresponding to the mobile target; judging whether the scanning data exists in each adjacent intersection, if so, controlling the mobile target history model corresponding to the adjacent intersection to be used as the mobile target model of the current intersection, and if not, controlling the mobile target model of the mobile target to be created based on the scanning data at the current intersection; importing the mobile target model into the corresponding position in the three-dimensional intersection model to synthesize and obtain the three-dimensional model of the holographic intersection. The present invention can effectively reduce the operating load during the three-dimensional synthesis of the holographic intersection, and can accurately realize the analysis and prediction of the turning situation of the intersection.

The invention belongs to the technical field of intelligent traffic, and particularly relates to a holographic intersection-based traffic situation analysis system, which comprises side end equipment, a data access module, an intersection modeling unit, a data analysis module, a data storage module and an anomaly backtracking module. The side end equipment collects section flow, speed, queuing length, vehicle track and signal control data; and the data access module receives the information. The intersection modeling unit constructs a fine 3D digital model including lanes, stop lines, zebra crossings and other elements. And the data analysis module calculates a plurality of situation indexes such as intersection overflow degree, traffic imbalance index, congestion degree and the like based on the traffic data and the model. The data storage module stores traffic data, models and threshold exception records. And the abnormity backtracking module can backtrack the state before occurrence according to the abnormity record, support calling of monitoring videos, track data and situation results at corresponding moments, and assist in analysis of abnormity causes.

The information processing apparatus of the present invention infers the road shape of the road on which its own vehicle is traveling based on map information obtained from a map information unit and sensor information obtained from a sensor unit. The information processing apparatus includes: a sensor resolution characteristic management unit that manages the sensor resolution characteristics of the sensor unit corresponding to the distance from the vehicle's position to the point where the intersection shape changes; an intersection appearance prediction unit that predicts the appearance of the intersection corresponding to the distance based on the sensor resolution characteristics; and an intersection model generation unit that generates an intersection model based on the intersection appearance predicted by the intersection appearance prediction unit.

This invention discloses an automatic trimming method, system, medium, and device for self-intersecting models. The method includes: acquiring an initial bias model comprising multiple triangular facets; performing global self-intersecting detection on the initial bias model, selecting multiple self-intersecting facets from the multiple triangular facets, and determining the sets of intersecting line segments corresponding to each of the multiple self-intersecting facets; determining a set of regular facets to indicate redundant regions of the initial bias model based on the sets of intersecting line segments; dividing the set of regular facets into a set of valid facets and a set of redundant facets based on the multiple triangular facets; and trimming the initial bias model based on the set of valid facets and the set of redundant facets to obtain a target mesh bias model. This invention can improve the efficiency, accuracy, and trimming accuracy of self-intersecting detection.

Embodiments of the present application disclose a model automatic generation method and device, computer equipment and a storage medium. The method comprises: obtaining a sketch image used for generating a target model and a model map of the target model, the sketch image comprising at least two model views of the target model obtained from different viewing angles; creating a model plane corresponding to each model view in a three-dimensional space based on each model view; adjusting the relative positions of the model planes based on the viewing angles of each model view, so that the relative positions between the model planes match the relative positions of each model view on the target model; generating intersecting silhouette models in the three-dimensional space according to the relative positions of each model plane and each model plane, obtaining an intersection part of each silhouette model to form an intersection model; cutting the intersection model to determine the vertex texture coordinates of the cut intersection model; and rendering the corresponding model map on the surface of the intersection model based on the vertex texture coordinates to form the target model.