11 results about "Traffic balancing" patented technology

This invention discloses a global optimization method for differentiated traffic control measures that does not violate travel demand, relating to the field of intelligent traffic management technology, and includes the following steps: Step 1: Construct a global optimization framework for differentiated traffic control measures; Step 2: Define the urban traffic network and demand flow parameters; Step 3: Establish a mixed-integer linear programming model for optimizing road network flow distribution; Step 4: Consider factors such as flow demand, flow balance, and travel impedance, approximate the impedance function and objective function with secant lines, and construct constraints for the mixed-integer linear programming model; Step 5: Solve the model to obtain the optimal flow distribution result; Step 6: Obtain differentiated traffic control measures from the model based on the flow distribution result. This invention's method can construct a mixed-integer linear programming model that balances individual interests and overall efficiency based on the complex and diverse travel demands in large-scale urban road networks, design hierarchical control measures, and achieve synergistic optimization of control and path guidance, thereby improving the overall traffic efficiency of the road network.

Techniques for adjusting a frequency at which a memory controller polls a refresh flag are disclosed. Traffic counters are maintained to track traffic to portions of a memory device. A traffic balance is computed using the traffic counters, which indicates a distribution of the traffic to the portions of the memory device. For example, where access operations are performed equally in two halves of a memory bank, the traffic to the memory bank is equally balanced. In memory devices implementing background refresh traffic technology, high traffic balance may indicate that a memory device is likely to be adequately refreshed because opportunities for background refresh operations are evenly distributed. As a result, a memory controller may reduce the frequency at which a refresh flag of the memory is polled when the total traffic exceeds a threshold and when the traffic balance exceeds a threshold.

The application provides a FTP distributed downloading method and device based on flow balance, a medium and equipment. The method comprises the following steps: S110, generating a file list for each FTP server; S120, obtaining the respective current downloading task history records of each FTP server; S130, filtering out the file information with the file state of distributed and downloaded in the file list to form a current downloading task list; S140, selecting one FTP server with the minimum flow as a current target FTP server; S150, distributing one downloading task in the downloading task list to the target FTP server to enable the target FTP server to execute the downloading task; S160, marking the file state of the downloading task as distributed, and moving the downloading task from the downloading task list to the downloading task history record of the target FTP server; S170, judging whether the current downloading task list is empty; and S180, if yes, ending the method. The embodiment of the application balances the pressure of each FTP server.

Embodiments of the present application provide a data transmission method and device, terminal equipment and storage medium, the method comprises: obtaining a plurality of types of service data packets of the current service; according to the priority of the service type of the service data packet, determine the traffic balancing strategy corresponding to the current service; the traffic balancing strategy is sent to each sending terminal equipment; receiving the service data packet sent by each sending terminal equipment using the traffic balancing strategy, the embodiments of the present application formulate different traffic balancing strategies according to different service data packets, the traffic balancing strategy is used to make the preset service can normally proceed, then each sending terminal equipment and receiving terminal equipment send data packet according to the traffic balancing strategy, so that, through the formulated traffic balancing strategy, the preset service can normally proceed, and will not be affected by bandwidth.

The application discloses a DNS-based traffic balancing scheduling method and device and a gateway device. The application divides the balancing scheduling of traffic and the forwarding of the home operator into multiple levels, and no longer performs load balancing processing on all traffic, but only indirectly schedules the traffic around DNS; the first level directly performs balancing scheduling on DNS request messages; the second level performs feedback correction, and according to a DNS response result, performs secondary traffic balancing correction; and the third level performs routing through ISP routing, so that the traffic is processed only in the service operator; thus, under the premise that the user traffic does not cross operators, the traffic can be more evenly distributed to different operator outlets, the traffic can be prevented from being blocked by the firewall of the cross-operator, and the problem of denial of service of the line of some operators to the outside caused by uneven traffic can be reduced.

Various embodiments of the present technology may provide a vessel coupled to a first reaction chamber and a second reaction chamber via a first gas line and a second gas line, respectively. Each gas line may include a variable feature, wherein each flexible feature is configured to vary flow kinetics of gas flowing through the gas line.

The invention provides a traffic flow path optimization method and system based on a column generation algorithm, and relates to the technical field of traffic flow path optimization, and the method comprises the steps: obtaining map data, transportation cost and transportation capability of a target region, and determining a plurality of basic parameters; generating an initial tree entering scheme; obtaining a path optimization model; determining an optimal tree entering scheme; and determining a corresponding optimal traffic flow path scheme with the target path point as an end point based on the optimal tree entering scheme. According to the method, the initial tree entering scheme based on the target path point is constructed, and continuous adjustment and optimization are carried out by utilizing the path optimization model and the column generation solution algorithm, so that the transportation cost can be effectively reduced, the traffic flow transportation capacity can be improved, the transportation path selection can be optimized, and the flow balance and the cost minimization in the transportation process can be ensured. According to the method, rapid and accurate path optimization can be carried out in a complex traffic network, and an accurate and operable scheme is provided for transportation management, so that the transportation efficiency is improved, and the logistics cost is reduced.

The application discloses a kind of based on user balance flow distribution with maximum toughness as target damaged road network recovery order optimization method, to solve the problem of low efficiency, decision lacks scientific basis after disaster traffic network recovery.The method comprises the following implementation steps: first, construct damaged road network toughness evaluation framework, in combination with traffic network topological structure and flow demand, define toughness index as the reciprocal of recovery time and total travel time product;Second, establish damaged road network toughness optimization scene parameter, abstract road network into connected graph and define recovery scheme set;Then, construct the mixed integer linear programming model with maximum toughness as target, convert nonlinear problem into linear problem by cutting line approximation, and set flow balance, travel demand and other constraint conditions;Finally, the model is globally optimized and solved using high-performance solver, to generate the best recovery scheme.The method of the application can scientifically quantify road network toughness and optimize recovery order, avoid the blindness of experience decision, quickly improve the traffic efficiency of post-disaster traffic system, provide efficient and scientific decision support for post-disaster traffic recovery, and have important practical application value.

The application relates to a dynamic routing and traffic balancing method and system of a regionalized network topology, the method comprising the following steps: dividing a satellite network into multiple partitions, and allocating a core node for traffic scheduling and routing calculation to each partition; each core satellite node responds to each traffic demand, adjusts bandwidth and traffic distribution in each partition through a multi-anchor segment routing method and a preset linear programming model; and each satellite node dynamically adjusts the routing of each traffic demand through a probability forwarding scheduling method based on a geometric topology according to the relative position of the satellite node and a target node. The application realizes low delay, high bandwidth utilization, load balancing and efficient fault recovery of the satellite network through network partitioning, a multi-anchor segment routing method and probability forwarding based on a geometric topology.

This application discloses a data backup method, apparatus, device, and medium for multi-agent clusters, relating to the field of cloud computing data backup technology. The method includes: obtaining the data generation rate, remaining storage capacity, and transmission capacity of the communication links between nodes in the multi-agent cluster; dynamically allocating the amount of backup data using a data integrity priority or traffic balancing strategy; and inputting the results into a backup configuration matrix to perform data backup. This improves the efficiency and reliability of data backup in complex environments, ensures that data can be recovered when nodes fail, and enhances the system's adaptability and robustness.

The invention discloses a fair space crowdsourcing task recommendation method based on competition balance, and relates to the technical field of space crowdsourcing task recommendation, in particular to a fair space crowdsourcing task recommendation method based on competition balance, which comprises three stages of closed-loop processes of task recommendation, worker selection and task allocation. And multi-stage probability recommendation, supply and demand flow balance and a fair perception distribution mechanism are fused. According to the method, the task allocation success rate and opportunity fairness between workers can be remarkably improved while the overall expected profit of the platform is guaranteed.