9 results about "Bidirectional traffic" patented technology

The invention relates to the technical field of unmanned aerial vehicle flight path planning, in particular to a public route network generation method for a small unmanned aerial vehicle, which comprises the following steps: reading urban road network data, removing expressways and branches, and generating a two-dimensional route network; determining the lifting height according to the height of the tree, and generating a three-dimensional air route network; constructing a space matrix by using the surface feature passenger flow data and rasterizing a road network; rasterizing a coherent feasible region of a road network through morphological opening operation, and identifying an intersection and generating a topological structure by openCV; establishing a layered traffic line for the intersection to realize two-way traffic; the airspace utilization rate and the flight safety can be improved, and the problem of large-scale unmanned aerial vehicle path conflict is solved.

Aspects of the disclosure relate to sidelink (SL) discontinuous reception (DRX) techniques. A first device may determine SL DRX configuration parameters for SL communication between the first device and a second device. The SL DRX configuration parameters include a plurality of first transmission durations and a plurality of first DRX on-durations, the plurality of first transmission durations include times during which the first device is permitted to transmit via SL communication to the second device and the plurality of first DRX on-durations include times during which the first device monitors for SL communication from the second device. The first device may, at least one of, monitor for SL communication from the second device during at least one of the plurality of first transmission durations, or transmit via SL communication to the second device during at least one of the plurality of first DRX on-durations.

The invention relates to the field of network flow collection and analysis, in particular to a full-stack path tracking method and system based on network analysis and electronic device.The method comprises the steps that data packets are collected from key network nodes, and key indexes of the data packets are extracted through TCP analysis; constructing a session record which takes a composite key as a unique identifier and aggregates the key indexes; inputting identification information of a target session, and querying all related sessions of bidirectional traffic of the target session in the session record; dividing the queried sessions into a session set of a request path from the client to the server and a session set of a response path from the server to the client, and sorting the session sets of the request path and the response path by using a non-insertion association algorithm; and determining a final path according to a sorting result. According to the method, a communication path can be completely restored without implanting codes, and low-intrusion and high-reliability full-stack traffic tracking and visual analysis are realized.

The embodiment discloses a device forwarding performance test method, device, system, equipment, medium and product. The method comprises the following steps: obtaining a first IPv6 one-way traffic packet loss detection result; obtaining a second IPv6 one-way traffic packet loss detection result; determining a first target board card in the user side board card and the network side board card which causes the SRv6TE bidirectional traffic packet loss according to the first IPv6 one-way traffic packet loss detection result and the second IPv6 one-way traffic packet loss detection result; constructing the SRv6TE bidirectional traffic between the first target board card and the second target board card, and testing the maximum forwarding traffic size of the second target board card under the condition that the SRv6TE bidirectional traffic is constructed between the target auxiliary board card and the second target board card.

The invention discloses an integral steel box girder bridge deck replacement and updating construction device and method based on bidirectional traffic keeping. The device comprises a mobile positioning mechanism, and a hoisting mechanism and a traffic guiding mechanism which are arranged on the mobile positioning mechanism, the movable positioning mechanism comprises a mounting frame, supporting frames are arranged on the mounting frame in an array mode, the bottoms of the supporting frames are bent outwards, the tops of the supporting frames are vertically arranged upwards, a top plate is mounted at the top ends of the supporting frames, extending plates are symmetrically arranged at the two ends of the top plate, connecting rods are arranged between the extending plates, and sliding frames are arranged at the bottom ends of the extending plates. The hoisting mechanism comprises a hoisting frame, a second mounting plate is arranged at the bottom end of the hoisting frame, a winch is arranged at the bottom end of the second mounting plate, and a hoisting piece is arranged on the winch; the traffic guiding mechanism comprises installation rods arranged on the supporting frame and the top plate in an array mode, and guardrail plates are installed on the installation rods in a sliding mode. The position and the angle of the guardrail plate are flexibly adjusted according to the construction progress and traffic diversion requirements, and traffic jam caused by guardrail movement is reduced.

The invention discloses an expressway missing traffic state estimation method based on a physical information guide neural network, and the method comprises the steps: carrying out the time-space discretization of two detectors and a middle non-detection road segment of an expressway, and enabling the cellular states of the installation positions of the two detectors to be observable traffic states; the states of all cells in the non-detection area are to-be-estimated traffic states; a bidirectional traffic state estimation framework from upstream to downstream and from downstream to upstream is provided, a neural network is designed based on a traffic state estimation model, a downstream boundary cellular state is utilized to carry out iterative estimation on all upstream cellular states, and an upstream boundary cellular state is utilized to carry out iterative estimation on all downstream cellular states. And the bidirectional estimation result is fused to form a final estimation result. According to the method, the accuracy and reliability of missing traffic state estimation can be improved, meanwhile, the interpretability of the model is ensured, the expressway traffic flow time-space evolution mechanism can be accurately grasped, and the full-time-space domain traffic state of the expressway target area can be estimated in real time.

A system facilitates communication between branches of an SD-WAN and a service chain element. A hub node receives a data packet of a flow from a source branch over a VPN segment to be transmitted to a destination branch, extracts flow information from the data packet including VPN segment information to be stored in a flow table before transmitting the data packet to the service chain element over a service chain VPN. Upon return of the data packet from the service chain element, the hub node uses packet tuple information to retrieve the flow information with VPN segment information from the flow table. The hub node can then forward the data packet to the destination branch over the VPN segment. The hub node can generate and store an Auto Service Chaining Key that connects bidirectional flows so that the hub node can apply service-chaining to bidirectional traffic.

This application relates to an interconnection method and apparatus for VXLAN EVPN symmetrical networking. The method includes: configuring a Common Layer 3 Virtual Network Identifier (VNI) on the VXLAN interface of a VTEP device; after receiving target traffic, the local VTEP device performs a route lookup on the destination address corresponding to the target traffic; when the destination address matches a gateway-directed route but no corresponding address resolution information is obtained, a probe route is generated; the probe route is sent to the peer VTEP device; an EVPN Type II route is received from the peer VTEP device; and the target traffic is forwarded according to the EVPN Type II route to achieve interconnection in VXLAN EVPN symmetrical networking. The interconnection method and apparatus for VXLAN EVPN symmetrical networking disclosed in this application can solve the interconnection obstacles caused by missing address resolution information in unidirectional traffic scenarios, and achieve rapid establishment and reliable interconnection of bidirectional traffic.

This invention discloses a method for dynamic modeling of bidirectional traffic flow based on a deep spatiotemporal graph neural network, belonging to the field of intelligent transportation and data mining. The method includes the following steps: S1, constructing a dynamic traffic flow graph to capture the local spatiotemporal dependencies of the traffic flow; S2, after obtaining the local spatiotemporal dependencies, using a temporal convolutional layer to extract temporal features; S3, after obtaining the temporal features, using a selection gate to filter the effective information obtained in S2 to obtain the final output; S4, after obtaining the result in S3, using a composite graph convolutional module to extract spatial features; S5, fusing the bidirectional traffic flow and obtaining the final prediction result through a prediction layer; S6, calculating the model loss to determine whether the model meets the requirements. This invention addresses the problems of insufficient bidirectional traffic flow modeling, inadequate capture of dynamic dependencies, and poor adaptability to complex traffic scenarios faced by existing technologies in traffic flow prediction, thereby improving the accuracy and applicability of traffic flow prediction.