83 results about "Traffic diversion" patented technology

The invention provides a real-time warning condition data processing method and system based on edge calculation, and relates to the technical field of traffic management, which comprises the steps of collecting traffic warning condition original data, transmitting the data to a nearby edge server in real time, constructing a lightweight deep learning model on an edge side, generating a traffic situation prediction result, and simultaneously, combining police force information to obtain a real-time warning condition prediction result. And constructing a police deployment optimization matrix, uploading the matrix to the cloud platform, generating a traffic optimization strategy, and issuing the traffic optimization strategy to the edge computing node of the accident area. The method can improve the integrity and timeliness of accident information perception, optimizes the police resource distribution and traffic dispersion decision, and remarkably enhances the intelligence and cooperation capability of traffic accident emergency management.

The invention discloses a road network traffic diversion method based on dynamic topology reconstruction. According to the method, the position of the abnormal event and the influenced node set are accurately positioned by identifying the abnormal event and determining the influence range. By dynamically updating node representation, event characteristics are propagated to nodes in an affected range, and dynamic attenuation is performed according to the distance between the nodes and a core node and the severity of the event. On the basis, the connection weight of the affected area is reduced, the connection weight of the bypassing path is enhanced, and the dynamic adjacent matrix is reconstructed. And finally, based on the reconstructed adjacent matrix, combining with a path planning algorithm, comprehensively evaluating the passing efficiency and congestion degree of the path, generating an optimal shunting path, and distributing the flow in proportion. According to the invention, through dynamic network reconstruction and intelligent path planning, traffic congestion caused by abnormal events is effectively relieved, and the emergency response capability and the overall traffic efficiency of the traffic network are improved.

The invention discloses an expressway reconstruction and extension traffic diversion method, system and device and a medium, and the method comprises the steps: obtaining multi-source dynamic traffic data, and constructing a road network origin-destination matrix through data fusion and demand deduction; a traffic flow distribution result is obtained by constructing a system optimal traffic distribution model; identifying the first congestion time period, and calculating the traffic flow exceeding the residual traffic capacity in the congestion time period to obtain the traffic flow to be shunted; solving an optimal shunting path under the target of minimizing the total travel time of the system through a hybrid intelligent algorithm to obtain an optimal shunting path scheme; and verifying the optimal shunting path scheme by using microscopic traffic simulation software, updating traffic data based on a simulation result, and carrying out iterative optimization to obtain a differentiated traffic organization scheme. According to the invention, the traffic flow passing efficiency during the highway reconstruction and extension period is effectively improved.

The invention relates to an expressway traffic flow prediction and accident identification method and system, and relates to the technical field of intelligent detection, and the method comprises the steps: firstly, carrying out the real-time monitoring of an expressway through a mobile robot, obtaining the traffic flow feature data, and obtaining the traffic flow prediction data of a specified time period through feature extraction analysis and fusion; and then, according to the traffic flow prediction data and traffic flow data acquired in real time, accident identification and accident grading are carried out, when an accident on the highway is identified, dynamic path planning is carried out by using an algorithm and combining the data identified in real time, and based on the planned path, the mobile robot is controlled to execute a dredging task on the lane of the highway. Through robot automatic monitoring and an intelligent algorithm, whole-process unmanned operation of traffic flow prediction and accident identification and disposal is realized, manual intervention is reduced, the monitoring efficiency and the safety of workers are improved, and the operation cost is reduced.

The invention discloses a construction scene traffic diversion prediction system and method based on a digital twinborn technology, and belongs to the technical field of intelligent traffic. A data acquisition module acquires historical traffic flow data, road network data around a construction area and data of a plurality of use sensors deployed in the construction area; the feature extraction module performs time dimension extraction on historical flow data to obtain a time dimension sequence and a trip chain sequence, the flow prediction module trains a traffic flow prediction model, predicts future traffic flow by using the trained model, updates a pre-constructed digital twinborn model according to prediction data, and obtains a traffic flow prediction result; and a traffic diversion strategy is formulated. Prediction is carried out based on real-time flow data and vehicle data, the time dimension and the space dimension of the real-time flow data are combined, real-time dynamic accurate prediction is achieved, meanwhile, the digital twin model is adopted to carry out visual display on field data, and the digital twin model is dynamically updated in real time based on environment data and the flow data.

The invention belongs to the field of intelligent traffic, and particularly relates to a construction area traffic flow guiding and speed cooperative control system which realizes accurate traffic flow control through cooperative operation of an area sensing module, a distributed guiding module, a communication module and an emergency response module. The area sensing module is based on three-dimensional modeling and digital twinning technologies, fuses real-time traffic flow, vehicle states and environment data, and constructs a three-dimensional simulation space of a target area; the distributed guide module establishes a drainage control model by using a distributed reinforcement learning algorithm, dynamically optimizes a sub-region congestion control strategy in combination with a vehicle-road-cloud three-level communication node, and adjusts the acceleration and speed of a vehicle in real time; and the emergency response module rapidly generates an emergency instruction through an anomaly analysis algorithm and a strategy library and feeds back the emergency instruction to the guide model to solve an emergency abnormal event, and the application integrates multi-source data real-time sensing, distributed decision optimization and a multi-stage communication architecture, and realizes dynamic traffic flow distribution and intelligent traffic control in a construction area.

The utility model belongs to the technical field of traffic equipment, and discloses a traffic flow guiding device which comprises stand columns and a cross rod, the stand columns are fixedly installed on the two sides of the cross rod respectively, a plurality of cylinders are rotatably installed on the cross rod through damping bearings, box bodies are arranged outside the cylinders respectively, through grooves are formed in the two sides of the box bodies respectively, and the through grooves are communicated with the through grooves. A box body is fixedly installed at the bottom of the cylinder through a support, second through grooves are formed in the two sides of the box body respectively, a motor is fixedly installed in the box body, gear columns arranged in the second through grooves are arranged on the two sides of the motor respectively, and the gear columns are rotationally installed on the box body respectively; according to the device, the height limiting height of each lane can be flexibly adjusted according to actual requirements, traffic accidents caused by collision between a vehicle and equipment can be reduced, and the device is safer to use.

This application discloses a highway traffic diversion alarm broadcasting system and method based on AI recognition, relating to the field of highway diversion technology. This application analyzes the load of each vehicle and the driving experience, historical highway violations, and historical highway accidents of each driver to divert vehicles, diverting high-risk vehicles to safer highways, thereby ensuring vehicle safety. Different safe following distances and speeds are set for different highways to avoid traffic accidents caused by excessively close following distances or excessive speeds. Furthermore, the system monitors all vehicles traveling on each highway, broadcasting warnings when accidents or violations are detected, which enhances deterrence against drivers and prevents repeated violations from leading to traffic accidents.

The invention provides a traffic diversion method, device and equipment, a storage medium and a computer program product, and relates to the field of artificial intelligence, in particular to the field of intelligent traffic. According to the specific implementation scheme, the method comprises the steps of obtaining a target congested road section with congestion in a first road; determining a first target path passing through the target congested road section in the first road; for the first target path, based on a second road connected with the first road ramp, querying a first alternative path bypassing the target congested road section through the second road; and carrying out traffic diversion on the target congested road section based on the first alternative path.

The invention discloses a traffic dispersion control method, system and device for a road construction area, and relates to the related field of traffic control, and the method comprises the steps: executing the traffic data collection of a target area, and building the traffic characteristics of the target area; construction data of a construction area are obtained, construction influence fitting is carried out, and a three-level interference path space structure is established; configuring a target traffic flow state, and executing data acquisition of a navigation account main body after any navigation reaches a construction area; performing navigation dispersion prediction by using the behavior prediction model; acquiring a real-time traffic flow state of the target area, establishing an arrival time node according to a navigation arrival result, and performing traffic flow time sequence fitting update based on the arrival data flow, the prediction result and the real-time traffic flow state; and establishing a deviation identification result according to the target traffic flow state and the traffic flow time sequence fitting result, and generating feedback excitation correction navigation dispersion. The technical problem that existing traffic dispersion control is poor in dispersion effect is solved, and the technical effect of improving traffic dispersion efficiency and accuracy is achieved.

The invention specifically relates to a 4g highway intelligent traffic road condition monitoring system, and relates to the technical field of intelligent traffic. A data processing and analyzing module; a central management and scheduling module; and an information issuing module. According to the invention, a plurality of devices such as a microwave radar, a camera, a meteorological sensor and the like are arranged in the data acquisition module, so that multi-dimensional data such as traffic flow, vehicle states, environmental meteorology and the like can be acquired in an omnibearing manner; the data is deeply mined through the data processing and analyzing module, and congestion prediction, accident early warning and flow pre-estimation are realized by using algorithms such as LSTM (Long Short Term Memory) and Transform; in the peak period of festivals and holidays, a traffic dispersion scheme can be planned in advance based on historical data and flow prediction of real-time road conditions.

The utility model provides an expressway traffic diversion device which comprises a fixed base, supporting columns fixedly connected to the two sides of the top of the fixed base, and a warning board fixedly connected to the tops of the supporting columns, and is characterized in that an LED lamp screen is fixedly connected to the top of the warning board, a mounting plate is fixedly connected to the surface of the bottom of the fixed base, and the LED lamp screen is fixedly connected to the mounting plate. An anti-impact assembly is fixedly connected to the surface of the mounting plate, an anti-collision assembly is fixedly connected to one end of the anti-impact assembly, the anti-impact assembly can be in linkage with the anti-collision assembly, the anti-collision assembly prevents the whole device from being influenced by slight collision through the structure of the anti-collision assembly, and meanwhile when a vehicle running at a high speed collides, the anti-collision assembly is prevented from being collided. In addition, the anti-impact assembly can prevent fragments from being generated through collapse of the internal structure of the anti-impact assembly, the device is protected while most impact is absorbed, secondary damage caused by fragment splashing is prevented, and therefore the functionality and safety of the device are further improved.

The present disclosure provides a traffic guidance method, apparatus, electronic device and storage medium, relating to the field of artificial intelligence, and particularly to fields such as intelligent transportation and vehicle-road collaboration. The specific implementation solution is as follows: obtain the historical traffic flow information of the congested arterial road; determine the set of traffic flow merging nodes upstream of the congested arterial road according to the historical traffic flow information; plan at least one detour route based on the set of traffic flow merging nodes; generate guidance indication information based on the at least one detour route, so as to conduct traffic guidance through the guidance indication information. By adopting the present disclosure, the congestion relief effect for the congested arterial road can be improved, thereby effectively solving the congestion problem of the congested arterial road.

The invention discloses a high-performance network flow refined shunting method and system. The system comprises a flow collection module, a flow analysis and classification module, a strategy matching module and a flow shunting module. The traffic acquisition module directly captures original traffic through a user mode network driver, and distributes the original traffic to a plurality of CPU processing units based on RSS (Received Signal Strength); the flow analysis and classification module performs first-level protocol classification on collected original flow, identifies basic protocol types, extracts key fields of message headers, extracts the extracted key fields of the headers according to the extracted key fields of the headers to further identify application layer protocol types, extracts load parts of the messages to perform feature library matching, and further identifies specific application classification. If the specific application classification cannot be determined, enabling the current message to enter a secondary classification process; the strategy matching module is used for matching a preset shunting strategy in the system according to the protocol classification result, and determining a flow forwarding processing path according to an output port specified by the current strategy; and the flow shunting module forwards the flow hitting the preset shunting strategy to an output port. According to the invention, high-precision, high-efficiency and extensible protocol shunting can be realized.

1. Name of the product in this design: Tidal Robot. 2. Purpose of this design: This design is used for dynamic traffic management, allocating lanes in roads to achieve traffic diversion. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

The application discloses a kind of wisdom car flow trajectory optimization method and system based on AI vision analysis, it is related to intelligent traffic control technical field, the present application is by fusing city-level AI vision perception network and emergency vehicle real-time state data, constructs the dynamic decision dataset of whole element, high precision, provides reliable basis for traffic scheme formulation;The present application is by asymmetric phase compensation, safety redundancy constraint and fast phase recovery mechanism, the influence of signal adjustment is accurately controlled in necessary space-time range.Combining the hierarchical induction strategy from far to near, effectively guide the peripheral traffic diversion, avoid the secondary congestion caused by emergency traffic in a large range, long time, maintain the overall operation efficiency of road network.The present application constructs complete perception-decision-execution-feedback closed-loop control system, ensure the continuous and reliable of emergency corridor under changing environment, guarantee the uninterrupted execution of emergency task.

This application relates to the field of deep foundation pit construction technology, and particularly to a method for constructing deep foundation pits in a subway transfer node area. The transfer node area includes an enlarged section, a pipeline relocation section, and a main connecting section. A temporary partition is set on the side of the main connecting section to separate the transfer node area from the main section of the first subway line. The enlarged section adopts a concrete support system, while the pipeline relocation section and the main connecting section adopt a hybrid support system of concrete and steel supports. The deep foundation pit construction method includes: Step S1: Traffic diversion and pipeline relocation; Step S5: Foundation pit excavation and support: The foundation pit excavation and support adopts a combination of vertical layering and longitudinal segmentation. The longitudinal segmentation sequence is the enlarged section, the main connecting section, and the pipeline relocation section. When excavating and supporting the foundation pit of the pipeline relocation section, the temporary partition at the corresponding depth is removed simultaneously to avoid idle work and greatly shorten the overall construction time.

The present invention provides a method, system, device, computer-readable storage medium, and electronic device for secure access control of DNS resolution. The method comprises: configuring a traffic diversion strategy and a secure resolution strategy for domain name resolution requests for a target user via a cloud security management platform, sending the traffic diversion strategy to a secure access service edge node and a target terminal corresponding to the target user, respectively, and sending the secure resolution strategy to the secure access service edge node; the target terminal sending the domain name resolution request to the corresponding secure access service edge node according to the traffic diversion strategy; and the secure access service edge node performing resolution control on the target domain name to be resolved in the domain name resolution request from the target terminal according to the secure resolution strategy provided by the cloud security management platform. Through the present invention, a new and efficient secure management mode for domain name access is realized.

The invention discloses a cross-border traffic drainage method and device, a medium and equipment, and the method comprises the steps: obtaining a domain name in a DNS request message sent by an intranet gateway of a client through an SDWAN CPE gateway; judging whether a domain name corresponding to the cross-border service matched with the domain name in the DNS request message exists in an overseas domain name white list or not; under the condition of matching, forwarding the DNS request message to an overseas DNS server, and receiving a domain name in a returned DNS response message; judging whether a domain name corresponding to the cross-border service matched with the domain name in the DNS response message exists in an overseas domain name white list or not; and under the condition of matching, generating a host route according to the destination IP address of the DNS response message, and distributing the host route to a plurality of intranet gateways, so that when the client accesses the destination IP address again, overseas service traffic is forwarded to the SDWAN CPE gateway through the intranet gateways.

This invention relates to the fields of intelligent transportation and road construction management technology, and particularly to a multi-scale traffic operation state prediction method and system. The invention achieves high-precision traffic state prediction by constructing a three-layer spatial topology architecture, designing and building a dual-flow independent LSTM architecture, and establishing a recursive rolling and interactive input mechanism. Under complex conditions such as lane closures, temporary traffic diversions, and perception blind spots, this invention, based on a hierarchical spatial perception system and a dual-flow deep temporal model, can perform high-precision short-term predictions of micro, meso, and macro traffic states, providing decision support for lane-level refined management and control in construction areas.

The invention discloses a flow distribution method, a storage medium and electronic equipment. The method comprises the following steps: acquiring a first request message; performing conversion processing on the first request message to generate an accompanying data packet; in the process of transmitting the accompanying data packet by the service calling link, generating a target routing rule based on the accompanying data packet by using a service grid agent corresponding to each application service in the service calling link; and routing the first request message to a target workload of the target application service according to the target routing rule. According to the method and the device, the technical problems that the routing accuracy is poor and the request routing cannot be accurately controlled through the dynamic routing coverage metadata when the flow distribution is carried out in the service grid in the related technology are solved.

The invention relates to the technical field of traffic control, in particular to an intersection traffic control method and system based on vulnerable group passage optimization. When the traffic light is in a green light state, vehicles pass, pedestrians wait at the two sides of the pedestrian path, the identification module obtains human body characteristics and modes of the pedestrians at the two sides of the path at the moment to identify whether vulnerable pedestrians exist or not, and if the vulnerable pedestrians exist, the identification module marks the vulnerable pedestrians as first vulnerable pedestrians and determines vulnerability labels and levels of the vulnerable pedestrians; and the control module determines a delay coefficient according to the delay coefficient, and prolongs the duration of the traffic light in the red light state next time according to the delay coefficient, so that the first vulnerable pedestrian has more passing duration. Besides, in order to avoid corresponding traffic flow congestion caused by red light delay, cloud and dynamic adjustment can be carried out on flow dredging of the original traffic flow based on flow dredging compensation delay increment of the downstream intersection, a more humanized traffic environment can be constructed in an aging structure, and the method has remarkable social benefits.

The utility model relates to a traffic diversion column anti-collision device suitable for installation, which comprises a first installation cylinder, a second installation cylinder sleeved outside the first installation cylinder, a buffer sheet connected outside the second installation cylinder and playing a buffering role, a guide groove arranged on the second installation cylinder, an elastic piece connected on the first installation cylinder, and a second installation cylinder connected on the elastic piece. The elastic pieces are slidably connected with the adjacent guide grooves on the lower portion, sliding pieces are slidably connected to the first mounting cylinder, elastic pieces are connected to the sliding pieces, and the elastic pieces are slidably connected with the adjacent guide grooves on the upper portion. The buffer piece is arranged, the buffer piece of a soft structure can absorb part of impact and play a role in protecting and damping the flow guide column, meanwhile, the buffer piece can extrude the second installation barrel under the influence of external force, so that the elastic piece and the elastic piece are stressed and stretched on the guide groove, and the elastic piece and the elastic piece further absorb part of impact; therefore, impact on the flow guide column is further relieved, the buffering and damping effect is improved, and accidental damage to the flow guide column is reduced.

The application provides a slice division method and system based on a passive optical network architecture, the method comprising: performing global slice division on a network undirected graph based on a traffic matrix of the network undirected graph to obtain a plurality of subgraphs, wherein the network undirected graph comprises nodes and edges connecting the nodes, the nodes represent optical network units, the edges and weights of the edges represent communication relationships and traffic between the optical network units respectively, the subgraphs and the number of optical line terminals are the same, and the traffic matrix comprises traffic between the optical network units; performing local search optimization on each subgraph based on weights of edges connecting each node in the subgraph to obtain a target subgraph with minimized cut value, so as to output a plurality of target slices, wherein the cut value is obtained based on the weights of the edges connecting each node in the corresponding subgraph, and the target slice comprises the optical line terminal and a plurality of optical network units in the corresponding subgraph connected by the target subgraph. The application can improve the traffic diversion efficiency of the access network.

This invention relates to the field of road construction technology and discloses a reverse-construction cut-and-cover method for converting a highway into a bridge. The method includes the following steps: construction preparation and half-width closure, integrated pile-column construction, cap beam and superstructure construction, traffic diversion, reverse-construction cut-and-cover of the soil under the bridge, pier appearance treatment, and repeated construction. This invention directly constructs an integrated pile-column structure on the existing road surface, completely eliminating the need for deep foundation pit excavation (over 9 meters). It transforms high-risk deep foundation pit projects into low-risk shallow foundation pit projects, effectively avoiding safety accidents such as foundation pit collapse and roadbed slippage. Simultaneously, it eliminates the interference of deep foundation pit construction on adjacent highways, ensuring the safety of both construction personnel and passing vehicles.

The invention relates to the technical field of traffic dispersion, and particularly discloses an intelligent traffic dispersion system in urban reconstruction construction, which comprises four core modules: a road image acquisition module which is used for associating a road camera video with a corresponding road section position; the construction condition judgment module is used for identifying a construction area through video frame comparison and obtaining construction type, position and construction period information in combination with a project publicity network; the travel route adjusting module is used for dynamically generating a time-phased detouring strategy according to the construction position, the duration (including the buffer period) and the road occupation proportion; and the electronic map feedback module is used for pushing the bypassing instruction to the navigation map in real time. According to the method, the construction information is automatically identified, the traffic influence is pre-judged, and the bypassing scheme is generated in advance and synchronized to the electronic map, so that a driver can know the road condition in time before going out or during driving, vehicles are effectively shunted, sudden congestion is reduced, and the road traffic efficiency is improved.

The invention discloses a full-time traffic flow state perception and evaluation system for highway monitoring videos, which relates to the field of intelligent transportation technology and comprises: a road section division module, which divides the road sections based on monitoring positions and determines the vehicle dense areas in rainy and snowy weather; a slow-moving analysis module, which uses a windowed correlation coefficient to evaluate the stability of vehicle spacing and judge whether vehicle slow-moving occurs. If slow-moving occurs, a mutation determination module analyzes the correlation between road surface slipperiness and regional aggregation values ​​and locates aggregation mutation points; a behavior classification module, which tracks vehicle characteristics based on mutation points and divides driving behavior types; a perception evaluation module, which formulates a traffic warning response plan according to the diffusion trend of the slow-moving ripple effect caused by aggressive vehicles. The invention can locate congested areas, evaluate slow-moving stability, assist in traffic diversion, and improve the traffic management level and safety assurance capability of highways in rainy and snowy weather.

The invention discloses a shunting gateway device and a diversion method, belongs to the technical field of network communication, and aims to solve the technical problems of how to reduce time delay and jitter caused by a shunting device during network change, improve the performance of the shunting device and finer-grained control, and effectively improve the shunting effect under a 5G network. According to the technical scheme, shunting gateway equipment is located between a base station and a 5G core network and is close to the base station side, and service data of all 5G terminals are forwarded to the 5G core network or a private cloud through the shunting gateway equipment; dividing the service data into uplink flow service data and downlink flow service data according to the flow direction of the service data; wherein the uplink traffic is service data sent to a destination address by the 5G terminal through a 5G base station and a shunt gateway device; the downlink flow is service data which is sent to the 5G terminal after the service response end requests to initiate from the service end and passes through the shunting gateway equipment and the base station.

The present invention relates to the field of adaptive network traffic diversion technology, and discloses an adaptive network traffic diversion method and system based on deep reinforcement learning, comprising: obtaining traffic data of heterogeneous networks, establishing a protocol fingerprint library, and converting data of different protocols into a unified network state feature vector; constructing a multi-agent reinforcement learning framework, including defining a state space, an action space, and a reward function, and optimizing the strategy of each agent based on differential games; using a meta-learning model to adjust the weight of each agent's reward function, and using deep reinforcement learning to train the multi-agent reinforcement learning framework to learn the optimal diversion strategy under different heterogeneous network conditions; deploying the trained strategy to a heterogeneous network environment, and dynamically selecting the optimal network path based on the current network state. This significantly improves the heterogeneous data processing capability.

The invention discloses a full-time traffic flow state perception and evaluation system for a highway monitoring video, and relates to the technical field of intelligent traffic, and the system comprises a road section division module which divides road sections based on a monitoring position, and determines a vehicle dense region in rainy and snowy weather; the slow motion analysis module is used for evaluating the stability of the vehicle distance by utilizing the windowing correlation coefficient and judging whether a vehicle slow motion phenomenon occurs or not, and if slow motion occurs, the sudden change determination module is used for analyzing the correlation between the road surface slippery degree and a region aggregation value and positioning an aggregation sudden change point; the behavior classification module tracks vehicle characteristics based on the sudden change points and divides driving behavior types; and the perception evaluation module formulates a traffic early warning response scheme according to the diffusion trend of the creep ripple effect caused by aggressive vehicles, and the system can position a congestion area, evaluate the creep stability, assist traffic dispersion, and improve the traffic management level and the safety guarantee capability of the expressway in rainy and snowy weather.