185 results about "Trunk road" patented technology

The invention relates to the technical field of new energy, and particularly discloses a new energy heavy truck energy-saving path planning method and electronic device.The new energy heavy truck energy-saving path planning method comprises the steps that a layered road network based on an energy consumption model is constructed, and the layered road network divides a road into multiple levels through a comprehensive weight formula, wherein the high-level road network comprises low-energy-consumption main roads, and the low-level road network comprises all road types; and on the basis of vehicle real-time state parameters and destination information, a two-way A algorithm is adopted to carry out path search in the layered road network, the two-way A algorithm is synchronously expanded from a starting point and an ending point, and the search direction is optimized on the basis of a dynamic heuristic function. According to the new energy heavy truck energy-saving path planning method provided by the embodiment of the invention, three major pain points of high energy consumption, difficult energy complementation and poor real-time performance in new energy heavy truck path planning are optimized and solved through modules of layered road network construction, dynamic weight adjustment, bidirectional A * algorithm optimization and the like, and the energy complementation bottleneck problem of the new energy heavy truck is solved.

The invention relates to the technical field of unmanned aerial vehicle intelligent maintenance and cleaning, in particular to an unmanned aerial vehicle-based main road camera non-closure autonomous cleaning system and method, and the system executes the following steps: an unmanned aerial vehicle hovers at the outer side of a camera, collects millimeter wave-polarization-acoustic signals to generate stain spectrum fingerprints, and obtains cleaning parameters through optimization; and the model prediction controller sequentially executes plasma, acoustic cavitation and ion air curtain dry cleaning under energy constraint, self-adjusting parameter iteration is carried out when residues exceed a threshold value, and return flight and battery replacement are carried out after the standard is reached. And the cleaning progress, the residual index and the energy consumption are packaged and chained, the cloud self-learning model updates online and outputs a next order of instruction, and non-stop, low-consumption and efficient autonomous cleaning is realized.

The invention relates to the technical field of natural gas pressure regulating station automatic site selection, and provides a natural gas pressure regulating station automatic site selection method, system, equipment and medium, and the method comprises the steps: precisely extracting a water system contour boundary through employing an edge detection algorithm, generating a water system distribution diagram, and building a terrain constraint condition through combining with a gradient grading mask; the gradient attenuation range of the water system safety buffer area is dynamically adjusted based on the river channel bending curvature characteristic and the branch intersection density, and water body protection and land use requirements are effectively balanced; recognizing boundaries of a building area and a forest protection area through color and shape features of the remote sensing image, and performing superposition to generate a composite security constraint layer; and screening low-gradient contiguous effective candidate blocks after excluding the protected area, simulating a feasible path through a depth-first search algorithm, and selecting an area which is high in connectivity with a main road and small in topographic relief as a final site. The ecological environment damage risk is reduced, the engineering implementation feasibility is ensured, and the optimal balance of ecological protection, safety protection and construction cost is achieved.

The invention is suitable for the technical field of intelligent driving regulation, and provides an intelligent traffic flow line optimized driving behavior regulation method and system, and the method comprises the steps: continuously collecting the behavior characteristic data of the following distance, lane changing frequency, accelerator stability and the like of a driver, and generating aggressive or prudent driving style DNA tags; in combination with vehicle navigation destinations and routes, a temporary motorcade containing one aggressive leader vehicle and two cautious following vehicles is established in the vehicles sharing the main road path; sending a team establishment application through the Internet of Vehicles, establishing a temporary collaborative team after confirmation of all the members, and planning an exclusive collaborative route; the leader vehicle broadcasts control instructions such as lane changing and speed changing, a vehicle team is regarded as a whole to calculate a cooperative safety space, instruction transmission intervals are dynamically set, and a unified driving strategy is generated. According to the invention, vehicle complementation and cooperation are realized, the traffic flow line is optimized, the driving behavior is adjusted, and the traffic efficiency and safety are improved.

The invention discloses a path planning method, a vehicle and electronic equipment. The method comprises the following steps: acquiring entrance and exit information of a working area and spatial orientation information of a plurality of working positions; generating a plurality of candidate paths based on the entrance and exit information and the spatial orientation information; determining a first type of trunk road based on a first type of candidate lanes in the plurality of candidate paths, and determining a second type of trunk road based on a second type of candidate lanes in the plurality of candidate paths; combining at least part of the first type of candidate lanes in each candidate path into a first type of main road, combining at least part of the second type of candidate lanes in each candidate path into a second type of main road, and generating a target path; and sending the target path to the target vehicle. According to the invention, the technical problem of poor path planning effect in related technologies is solved.

The invention provides a hierarchical autonomous behavior decision and joint control method for expressway and ramp scenes, and belongs to the technical field of auxiliary driving. Comprising the steps of S1, a training stage; s1.1, collecting expert data and training an IL decision maker; s1.2, an RL control module is trained; s1.3, performing combined overall verification and fine adjustment; s2, an execution stage; s2.1, environment perception and state construction are carried out; s2.2, performing upper layer imitation learning decision making; s2.3, calling a lower layer reinforcement learning control module; s2.4, a lower layer MPC control module is called; and S2.5, vehicle execution and environment updating are carried out. According to the invention, control mode switching is more adaptive and learnable, and dependence on artificial experience is reduced; strategy flexibility and control feasibility or safety are considered; complex tasks such as highway main road lane changing, ramp confluence and ramp diversion can be processed under the same framework; according to the method, smooth and comfortable control behaviors can be generated on the premise of ensuring the safety margin.

Provided herein is technology relating to roadway design and traffic control systems and methods for connected and automated vehicle and highway (CAVH) systems, and particularly, but not exclusively, to systems and methods for controlling switching of vehicles between automated mode and human-driven mode, systems and methods for vehicle merging, diverging, and overtaking on automated lanes of multiple lane highways, systems and methods for emergency management and roadside assistance on automated lanes, and / or systems and methods for managing automated vehicle lanes on urban major and minor expressways.

The invention provides a path planning method, device and equipment and a readable storage medium, and the method is applied to a mobile device, and comprises the steps: obtaining a target map, dividing the target map into a plurality of sub-regions, and enabling the plurality of sub-regions to comprise a starting point region and an ending point region; determining an access point in the starting point area, and determining an outgoing point in the ending point area; a hybrid obstacle avoidance algorithm is utilized to determine an access path between the starting point and the access point and determine an outgoing path between the outgoing point and the terminal point, and the hybrid obstacle avoidance algorithm is a path planning algorithm combining a heuristic search algorithm and vehicle dynamics constraints; determining a main road path between the access point and the outgoing point by using a shortest path search algorithm; and determining a target path of the movable device based on the access path, the main road path and the access-out path. The driving requirements of the movable device can be met while the driving path is optimized.

The invention relates to a main road night construction management decision-making method, and relates to the technical field of road construction management, and the method comprises the following steps: S1, data collection and analysis: collecting construction area environment data, and using a data analysis tool to evaluate potential influences; s2, risk assessment: performing construction risk assessment based on the collected data; s3, decision model construction: establishing a multi-objective optimization model, taking construction time, cost, safety and environmental influence as decision variables, and generating an optimal construction time window and a resource allocation scheme; s4, real-time monitoring and adjustment, wherein real-time monitoring is carried out in the construction process, and the construction plan is adjusted according to real-time data; and S5, evaluation and feedback: the construction process is evaluated, scientific decision making, comprehensive risk evaluation and rapid response to emergencies can be realized through real-time monitoring, data analysis and construction management, and a construction scheme is continuously optimized through a closed-loop feedback system, so that the construction safety and efficiency are improved, and sustainable development is realized.

A road junction merging structure and a merging control system. The structure comprises a trunk road (1), an entrance ramp (2), and an exit ramp (3); the trunk road (1) is provided with a plurality of lanes, an exit taper (11) and an entrance taper (12) are sequentially formed on the outermost lane of the trunk road (1) in a driving direction, and a buffer zone (13) is arranged in the zone between the exit taper (11) and the entrance taper (12) of the outermost lane of the trunk road (1), so that the outermost lane between the exit taper (11) and the entrance taper (12) of the trunk road (1) is a non-accessible buffer lane; the exit taper (11) is connected to the exit ramp (3), and the entrance taper (12) is connected to the entrance ramp (2); a merging segment is arranged ahead of the entrance taper (12); a merging segment is arranged behind the exit taper (11). The system comprises the structure, an electronic lane change line, a lane change line regulation and control structure, a monitoring device, and a controller.

The invention provides a dynamic decision-making method and system for store site selection based on geographic information, and relates to the technical field of geographic information system.The method comprises the steps that traffic data of main roads and subway lines of a target city and geographic image information of peripheral business districts of a to-be-analyzed area in the target city are obtained; processing the geographic image information to obtain a physical boundary range and business state distribution information of a peripheral business district, and calculating traffic reachability parameters in combination with traffic data; determining a preliminary candidate area in the physical boundary range, and obtaining a cooperative potential parameter according to the traffic reachability parameter; selecting a candidate store area position from the preliminary candidate area based on the traffic reachability parameter and the cooperative potential parameter; according to surrounding dynamic factors, the candidate store area positions are evaluated to determine the final store site selection, so that the accurate, intelligent and dynamic decision-making of the store site selection is realized, and the scientificity and the commercial success rate of the site selection are improved.

Disclosed in the present invention is a path planning method for an unmanned forklift. The method comprises: step 1, drawing a feasible area for an unmanned forklift on a constructed grid map, moving the unmanned forklift to record coordinates of stations, and automatically generating a topological map consisting of nodes and edges; step 2, setting a starting point and a destination point for planning, and on the basis of cost weights of all the edges in the topological map, searching for an optimal route; and step 3, driving the unmanned forklift to move along the planned optimal route. In the path planning method for an unmanned forklift of the present invention, a topological map required for a path search is automatically generated, without the need for manual drawing, thereby increasing the efficiency; different attributes of a route are automatically set on the basis of a task type, an operation area, etc., such that the method is more applicable to unmanned forklifts; and if it is not possible to make a U-turn due to insufficient space on a main road, another feasible area can be used to complete the U-turn, thereby increasing the flexibility.

The application discloses a biomass collection, storage and transportation site optimization method, and belongs to the technical field of biomass energy utilization and space optimization. The method comprises the following steps: acquiring biomass site data and trunk road information of a preset area, constructing a biomass distribution matrix of the preset area by means of geographical coordinates and density of the biomass site, setting weights of corresponding sites based on biomass density, clustering and reducing dimensions of the distribution matrix by means of the weights, and outputting a preset number of candidate site sets of biomass collection and storage stations; generating an address combination containing a preset number of optimal biomass collection and storage stations based on the candidate site sets of the biomass collection and storage stations; generating a candidate site set containing a preset number of biomass power plants along a line by means of the trunk road information; generating an address combination containing a preset number of optimal biomass power plants based on the candidate site set of the biomass power plants; and the method can accurately and economically determine an optimal address combination of biomass collection, storage and transportation in the preset area.

The invention relates to the technical field of expressway operation management / traffic big data, and provides a freight transport transfer demand prediction method under a differentiated charging policy, and the method comprises the steps: obtaining the GPS track data of a truck, and carrying out the data preprocessing of the GPS track data, and obtaining effective GPS track data; carrying out stop point discrimination on the preprocessed effective GPS track data by adopting a judgment method of combining time sequence DBSCAN clustering with a stop interval, identifying and dividing different travel segments, and constructing a complete truck travel chain; based on a trip chain, identifying the flow of each sample road section through road section matching, and expanding the obtained flow of each sample road section to the flow of the whole sample road section through observation station data and portal frame data of parallel national and provincial trunk roads and expressways; and performing parameter calibration on the constructed travel path selection behavior model by using the flow of the whole sample road section subjected to sample expansion, and predicting the expressway freight transfer traffic demand by using the model based on the adjusted differentiated rate.

The invention discloses a travel traffic road condition evaluation planning system based on fusion processing. The travel traffic road condition evaluation planning system comprises a multi-source data acquisition engine, a data fusion preprocessing unit, a road condition state fusion evaluation unit, a short-time prediction evolution unit, an intelligent path planning unit and a coordination signal optimization unit, according to the method, historical and real-time dual-mode prediction verification channel and regional coordination signal control feedback is established, a road network state evolution trend decoupling stability quantitative model is used for driving a planning decision, road average delay in peak periods in typical urban road network tests is decreased, the traffic capacity of main roads is improved, the response time of extreme meteorological events is shortened, and the reliability of the urban road network is improved. The road condition evaluation precision is improved through heterogeneous data fusion and dynamic rule engine coupling, a multi-source data acquisition engine is coupled with environmental data in real time, and signal noise interference is inhibited through a credibility weighting mechanism in a data fusion preprocessing unit.

The invention relates to the field of asphalt mixtures, in particular to an anti-rutting asphalt mixture and a preparation method thereof, which are used for solving the problems that the existing asphalt mixture is poor in rutting resistance and low-temperature crack resistance, and the driving safety, comfort and service life of a pavement are seriously influenced. According to the preparation method, by adding the coated basalt fiber and the organic silicon grafted epoxy resin into the asphalt mixture, a highly crosslinked network structure can be formed in the asphalt mixture, and the asphalt mixture has very high mechanical strength and toughness, so that the rutting resistance of the asphalt mixture can be remarkably improved, and the low-temperature crack resistance of the asphalt mixture is synchronously and remarkably improved. Therefore, the fatigue damage of the road surface can be effectively reduced, the service life of the road can be prolonged, the driving comfort can be improved, and the use quality and safety of the road surface can be optimized on the road sections with frequent traffic, such as expressways and main roads.

The invention relates to the technical field of traffic signal control, and provides a traffic accident surrounding traffic signal response method and system, and the method comprises the steps: obtaining main road traffic flow parameters and secondary road exit vehicle existence information; judging whether the trunk road is in a trunk road congestion state or not; judging whether the secondary road is in a secondary road exit abnormal retention state or not; identifying a key exit passive blocking event; a control instruction is sent to an upstream intersection of the target intersection corresponding to the key exit passive blocking event, so that the upstream intersection of the target intersection controls a main road direction signal lamp to be red, and a traffic gap is created; turning the signal lamp in the main road direction of the target intersection into green light, and emptying vehicles in the main road area in front of the key exit of the secondary road; after it is confirmed that the vehicle is emptied, the vehicle at the key exit is released; and after the release is completed, judging that the emergency condition is relieved and recovering traffic signal control. The method has the advantage of avoiding traffic delay and potential public safety risks.

The invention discloses a green wave coordination control method and device and electronic equipment, and belongs to the technical field of traffic. The method comprises the steps that operation constraint conditions and coordination directions of all intersections on a trunk road are determined, a trunk road coordination control scheme meeting the coordination directions of all the intersections is determined under the operation constraint conditions, and the coordination control scheme at least comprises signal timing schemes of all the intersections on the trunk road; for any intersection on the trunk road, the signal timing scheme of the intersection is optimized through the optimization function; and controlling the intersection according to the optimized signal timing scheme so as to realize green wave coordination control of the trunk road. According to the invention, the control effect of green wave coordination control on the trunk road is improved.

The invention discloses a multi-type intersection mixed traffic control method based on multi-agent reinforcement learning, and the method comprises the steps: setting CAV special lanes and common lanes for different types of intersections, and configuring different signal lamp phases for all types of intersections; a double-layer control structure is constructed, an upper-layer controller selects an optimal signal phase by adopting a multi-agent reinforcement learning algorithm according to the state information of each intersection, and the signal lamp state of each intersection is dynamically adjusted; and when the CAV special phase is activated, the lower-layer controller adopts a reinforcement learning algorithm to carry out passing right distribution and cooperative control on the CAV on the CAV special lane, and carries out speed guidance and track cooperation on the CAV fleet. By constructing a double-layer control framework and fusing a collaborative decision-making mechanism of multi-agent reinforcement learning, the green wave passing time of vehicles on a main road is prolonged, and the passing efficiency is improved; the overall throughput of a road network is improved, and the bearing and dispersion capabilities of a regional traffic system are enhanced.

The present invention discloses an emergency traffic dispatching management method and system based on drone surveillance, which relates to the technical field of traffic management control. It includes determining the emergency traffic location within the urban arterial road area based on traffic image data, and planning the driving data of the target object within the urban arterial road area according to the emergency traffic location. By collecting the image data of the target object at different positions within the urban arterial road area by the drone and combining the time intervals between the image data at different positions, the drone can locate the position of the target object and enable the communication device of the public transportation interacting with the target object to connect to the command channel with the drone, so that the drone can send regulation commands to the public transportation communication device in stages based on the position of the target object and the position of the drones, thereby realizing a rapid response and precise dispatching to the emergency traffic situation and ensuring the efficiency of traffic dispatching.

The invention discloses a cement stabilized macadam test piece and a preparation method thereof, and belongs to the technical field of traffic civil engineering. The test piece is prepared from the following components in parts by mass: 85 to 92 parts of graded aggregate, 6 to 12 parts of composite cementing material and 0.3 to 0.8 part of special admixture; the graded aggregate is of a skeleton-transition-filling three-stage structure, and the filling aggregate contains surface modified silicon carbide microbeads; and the special additive contains a slump-retaining polycarboxylic acid water reducing agent and a hydroxypropyl methyl cellulose-xanthan gum composite adhesive. The components of the test piece have a synergistic effect, and through multi-dimensional synergy of aggregate grading, modified filler and admixture regulation and control, the problems of large-particle-size broken stone sinking, uneven aggregate distribution and segregation, insufficient compactness and the like in the forming process of the cement stabilized broken stone test piece are effectively solved; the compactness, the mechanical strength and the durability of the cement stabilized macadam test piece containing the large-particle-size macadam are remarkably improved, and the composition materials of the cement stabilized macadam test piece can be used for base layer construction of high-grade highways and municipal main roads and meet the heavy-load traffic requirement.

1. Name of the design product: Solar floodlight. 2. Use of the design product: For lighting urban main roads, secondary roads, industrial parks, tourist attractions, and outdoor large parking lots. 3. Design key points of the design product: Lies in the shape. 4. Picture or photo that best shows the design key points: Front view.

The utility model relates to the technical field of garden irrigation, and discloses a landscaping intelligent irrigation device which comprises a shell, an electromagnetic valve is fixedly connected to the rear side of the exterior of the shell, a water body main pipeline is fixedly connected to the exterior of the electromagnetic valve, and a middle branch main pipeline is fixedly connected to the bottom of the middle of the water body main pipeline. The top of the middle section of the middle branch trunk is fixedly connected with a communicating pipe, the top of the communicating pipe is rotationally connected with a middle-end long pipe spray head, the left side and the right side of the top of the middle-end long pipe spray head are each provided with a plurality of water spraying holes, the bottom of the inner wall of the shell is fixedly connected with a main control unit, and the top of the shell is fixedly connected with a hollow supporting pipe. According to the intelligent irrigation system, the intelligent degree of the irrigation system is remarkably improved, the intelligent irrigation system can flexibly adapt to different environmental conditions, human intervention is reduced, accurate irrigation is achieved, the problem of excessive or insufficient irrigation is avoided, the utilization rate of water resources is improved, and energy consumption is reduced.

The invention discloses a dynamic scheduling method for mobile charging piles of a national and provincial trunk road energy supply station, and belongs to the technical field of transportation, and the method comprises the following steps: obtaining basic data of the mobile charging piles of the national and provincial trunk road energy supply station; calculating to obtain reference traffic volume data and charging probability data; calculating to obtain the number of vehicles with charging requirements in the arterial road energy supply station of each country and province; calculating the number of vehicles which cannot be supplied and charged by arterial road energy supply stations of all countries and provinces after the mobile charging piles are dispatched; on the basis of a supply charging gap judgment model, whether the number of vehicles which cannot be supplied and charged by arterial road energy supply stations of all countries and provinces reaches a supply charging gap control threshold value or not after mobile charging pile scheduling is sequentially judged; scheduling control parameters are set; constructing a dynamic scheduling model; and according to the scheduling control parameters and the dynamic scheduling model, a dynamic scheduling scheme of the mobile charging piles of the national and provincial arterial road energy supply stations is formulated. According to the invention, the problem of sudden unbalance of supply and demand of charging facilities is solved.

The invention relates to a control method and a regulation and control agent for coordinated regulation of traffic volume of parallel arterial roads, which are based on a relative saturation difference as a trigger condition of flow regulation between the parallel arterial roads. And synchronously determining a first signal control strategy for increasing the passing delay of the vehicle on the high-saturation trunk road and a first signal control strategy for increasing the passing delay of the vehicle on the high-saturation trunk road based on the target transfer flow, so as to realize balanced adjustment between the two parallel trunk roads. When the saturation degree of the parallel main road reaches the steady flow upper limit, vehicles not entering the congested main road can enter the parallel road with high admission ability and low traffic pressure, so that the traffic flow is uniformly distributed, and the utilization rate of the parallel road is improved while the congestion of the main road is relieved. According to the method, the path selection of the vehicle can be actively adjusted before the congestion is formed or after the congestion occurs, the bottleneck suppression is realized, and the road network traffic efficiency is improved.

This invention discloses a trunk road green wave control method and system based on the KCF algorithm, belonging to the field of traffic control technology. It includes the following steps: S1: traffic flow detection and tracking; S2: green wave control; S3: signal control. This invention uses the KCF algorithm to achieve real-time traffic flow detection and tracking, providing more accurate and real-time traffic flow information, thereby achieving more refined trunk road green wave control, further improving road capacity, and alleviating traffic congestion. Simultaneously, it can adapt to changes in traffic flow and road conditions, exhibiting better adaptability and practicality.

The present invention relates to the field of traffic signal control technology, and discloses a method and system for coordinating green waves with variable bandwidth on arterial roads for multiple critical paths. The method comprises the following steps: acquiring real-time arterial road structure data, intersection signal timing parameters, and critical path information; inputting the acquired data into a pre-built arterial green wave optimization model, solving the arterial green wave optimization model, outputting optimized signal control parameters, and coordinating green waves based on the optimized signal control parameters; the arterial green wave optimization model comprises an objective function and constraints; and the objective function of the arterial green wave optimization model is obtained with the goal of maximizing the weighted sum of the green wave bandwidths of the critical paths. The present invention can be applied to urban arterial road scenarios, providing green wave bands for multiple critical paths, and the green wave bandwidths can be flexibly varied in different road sections, thereby improving the traffic efficiency of urban arterial roads.

The invention discloses a method for realizing accurate route navigation by combining a wild road network with a public map. The method comprises the steps of route planning request and preprocessing, parallel acquisition and topology reconstruction of multiple alternative routes, fusion network data set construction, intelligent route analysis and optimal route generation and output. According to the method, deep seamless fusion of a public road network and a dynamic wild road network in a data level and a planning level is realized, the problem of route interruption caused by data missing in a field area in traditional navigation is solved, whole-course continuous navigation guidance from a city to a wild area and from a main road to a small diameter between mountains is provided for users, and the user experience is improved. Intelligent path analysis is carried out by introducing a multi-factor weighted scoring model, only the shortest distance or time is not pursued any more, multi-dimensional costs such as terrain complexity, path maturity, pavement conditions and safety are comprehensively evaluated, and a personalized path which achieves optimal balance among efficiency, physical exhaustion and risks is planned; and the safety and experience of outdoor activities are obviously improved.

The present invention relates to the field of new energy technologies, and specifically discloses a new energy heavy truck energy-saving path planning method and an electronic device. The new energy heavy truck energy-saving path planning method includes: constructing a hierarchical road network based on an energy consumption model, where the hierarchical road network divides roads into multiple levels through a comprehensive weight formula, and the high-level road network includes low-energy consumption main roads, and the low-level road network includes all road types; based on vehicle real-time state parameters and destination information, using the bidirectional A* algorithm to perform path search in the hierarchical road network, and the bidirectional A* algorithm expands from the starting point and the end point synchronously and optimizes the search direction based on a dynamic heuristic function. The new energy heavy truck energy-saving path planning method of the embodiments of the present invention optimizes and solves the three major pain points of high energy consumption, difficult energy replenishment, and poor real-time performance in the path planning of new energy heavy trucks through modules such as hierarchical road network construction, dynamic weight adjustment, and bidirectional A* algorithm optimization, and solves the energy replenishment bottleneck problem of new energy heavy trucks.