34results about How to "Reduce queue length" patented technology

A method and system for avoiding network congestion by measuring network load to adjust a rate at each source. The load (e.g., as a price value) is provided to network traffic sources, which adjust their flows based on a per-flow weight (willingness to pay). The load may be determined in-band by routers or out-of-band by an observer node. A load value (e.g., as a price) is increased or decreased based on the actual load or an estimate based on the actual load. The sources obtain the load value and control the output rates per flow based on each flow's associated weight (willingness to pay), e.g., as set by an administrator. Further, two classes of applications are enabled by allowing certain applications to ignore price.

The invention relates to a traffic signal coordination control optimization method for an emergency rescue vehicle driving path. The method comprises emergency rescue prioritization, path type classification, signal priority control, signal coordination control, and a bi-level programming model; relevant coordination control research on paths is conducted; first, emergency rescue characteristics and objects are analyzed, research on upper level dynamic phase difference and lower layer path green wave coordination in different path forms is conducted, and relevant case analysis and verificationare performed. The method disclosed in the invention is characterized by real time performance, traffic signal coordination priority control over an emergency rescue path can be exerted based on timewhen an emergency rescue team reaches a crossroad and real time vehicle load information of general vehicles, emergency rescue response time can be shortened, and casualties and property loss can beeffectively reduced.

The invention discloses an urban road layering dynamic coordination control algorithm and a control method. An urban road is longitudinally divided into three layers and transversely divided into different control sub-areas. The control range and control parameters of each sub-area on different layers are dynamically updated according to real-time dynamic traffic data to achieve an aim of dynamic coordination control of the traffic flow on each layer of the urban road. Checking analysis indicates that the urban road layering coordination control technology obviously increases the average speed of a vehicle, vehicles on each layer can quickly leave each sub-area, and the problem of traffic stream congestion of urban road is effectively relieved.

An apparatus and method for forwarding data on a digital data network are provided. The network includes optimized routers and a plurality of routers connected on the network. A route optimizer receives information from the optimized routers and plurality of routers with regard to traffic congestion. The information can include queue lengths of one or more queues within the optimized routers. The route optimizer uses the congestion information from the optimized routers and plurality of routers to define optimum paths for transfer of data. The defined paths can be MPLS paths, which are then transmitted to the optimized routers and any other routers in the network.

The invention discloses an intelligent iris payment machine. The payment machine comprises a machine body, a contact control display screen, an iris identifier, a bar code scanning device, an union pay card jack, a ticket printing opening, a two-dimensional module and a payment module, wherein the contact control display screen, the iris identifier, the bar code scanning device, the union pay card jack, the ticket printing opening, the two-dimensional module and the payment module are installed on the machine body. The iris identifier comprises an iris image obtaining module, an identifying algorithm module, a characteristic extracting module, a coding module, an iris database, a data matching module and an iris identifying mobile end. The bar code scanning device comprises an infrared control emission module, a light filtering module, an infrared receiving module, a signal amplifier, a decoding module and a mechanical path assembly. The invention provides an intelligent iris payment machine and a payment method, so customers can carry out automatic acquisition of product data based on bar code data of selected products; the payment machine and the payment method support automatic payment of the customers; payment efficiency of supermarkets can be increased; queuing length of the supermarkets can be reduced to the greatest extent; and safety of payment is greatly improved.

The present invention relates to a method for assisting in reducing the queue length in public and private waiting areas such as government organizations or quasi government organizations or private sector organizations or individuals or group of individuals wherein the method is based on the concept of providing to the customer data which would enable him to take decision that would either reduce the queue length at the service provider's end and/or reduce his waiting time and/or reduce the customer service cost and/or enhance the customer satisfaction.

The invention discloses an intelligent traffic signal control method based on open-source road condition information, and solves the problem that the intelligent degree of traffic signal control stillneeds to be improved in the prior art. The method comprises the following steps: step 1, collecting traffic data under an open-source real-time road condition; 2, evaluating a congestion index; 3, constructing an intelligent signal period model; and step 4, constructing an intersection signal lamp timing model based on the open-source real-time road condition traffic data. The technology is mainly used for coping with traffic congestion in peak hours; experimental results are consistent with expectations; the heavier the traffic is, the better the relieving effect of the method is; the congestion queuing is reduced by 16.14% under a general congestion condition, while the congestion queuing is reduced by 29.99% under a severe congestion condition, so that the traffic capacity of the roadis obviously improved; and on one hand, the urban road construction cost can be saved, and on the other hand, the vehicle travel cost can be reduced.

The invention relates to a method and device for scheduling request of Cloud Data Center. The method includes performing the following steps at each timestamp: S1, at the start time of the timestamp, obtaining the queue length for a server in each data center, S2, calculating a first objective function value in each data center, and delivering all service requests in the timestamp to data center with the largest first objective function value, S3, initializing the second objective function value to negative infinity, S4, for each operating frequency in an operating frequency set of each data center, determining optimal operating frequency and optimal operating quantity, S5, for each data center, starting a server of the optimal operating quantity determined in the S4, regulating the operating frequency of the server to the optimal operating frequency determined in the S4. Under the condition of increasing the system benefit, queue length can be reduced, and the tradeoff between system benefit and queue length can be achieved.

The invention provides a dynamic lane switching control method and a device thereof, electronic equipment and a storage medium. The method comprises the following steps: acquiring an initial queuing length and an initial queuing accumulation speed of a dynamic lane in a current entrance lane; wherein the dynamic lane comprises a target lane and a variable guide lane, the first direction is the current passing direction of the variable guide lane, and the second direction is the passing direction after the variable guide lane is switched; the target lane passing direction is a first direction or a second direction; obtaining the switching queuing length and the switching queuing accumulation speed of the dynamic lane in the entrance lane after the variable guide lane is pre-switched; according to the initial queuing length, the initial queuing accumulation speed, the switching queuing length and the switching queuing accumulation speed, determining whether the passing direction of the variable guide lane needs to be switched or not; and when switching is needed, controlling the passing direction of the variable guide lane from the first direction to the second direction. According to the invention, the queuing length of the entrance lane is reduced, and the problems of queuing overflow, left turning blocking and the like are avoided as far as possible.

The invention discloses a motor vehicle multipath intersection passing method through disperse signal control and organization. The passing method comprises following steps: S1, successively numbering inlet channels of n paths of signal controlled intersections as 1, 2,..., i,..., n; S2, by use of internal space of the intersections, transforming each inlet of the n paths of signal controlled intersections into a micro-type intersection formed by three inlet channels; S3, using the inlet channel I of the original n paths of signal controlled intersections as one inlet channel of the micro-type intersection, wherein the inlet channel is formed by n-1 paths of lanes and is lead to rest n-1 outlet directions of the n paths of signal controlled intersections; and S4, forming the other two inlet channels of the micro-type intersection by a connection line of an inlet channel i and the adjacent inlet channel i-1 and a parallel line of the connection line as well as a connection line of an inlet channel i and the adjacent inlet channel i+1 and a parallel line of the connection line. According to the invention, average saturation and average vehicle delay of the intersection are reduced; passing ability of the inlet channels is improved; and queuing length is reduced.

The invention provides a time-sensitive network data deterministic scheduling method and device, and the method comprises the steps: constructing a time-sensitive network model which comprises a flow sub-model, a switch sub-model, and a topology sub-model; determining an optimal solution based on a local search algorithm, wherein the optimal solution comprises the sending time of each stream; and scheduling the data streams of the time-sensitive network according to the sending time of each stream. According to the method, the starting time of each flow when the 802.1 QCH protocol is used for building the TSN network can be calculated, the collision among a large number of flows can be reduced under the condition that each switch queue of the TSN network is determined, the number of the flows capable of being scheduled by the TSN network is increased, and the queue length required by the switch can be reduced and the time delay and jitter can be reduced under the condition that all the flows are scheduled. Compared with 802.1 QBV, the topology supported by the method is more complex, the number of streams is larger, calculation is simpler, and consumed time is shorter.

The invention provides a signal timing and vehicle speed dynamic coordination control optimization method based on vehicle infrastructure cooperation, which comprises the following steps: firstly, based on an original green wave coordination scheme of a coordination trunk road, calculating a green light time increment according to a traffic flow information parameter and a driving-in flow of a target vehicle team on an initial detection road section, thereby being beneficial to improving the traffic capacity of a coordination intersection, and reducing the queuing length of the intersection when the driving-in flow of the target motorcade is increased; the green light adjustment time of the coordination intersection is calculated according to the actual driving speed of the target motorcade in combination with the optimal design vehicle speed of the original green wave coordination scheme of the coordination trunk road, so that the maximum green wave bandwidth can be obtained, and the number of parking times of straight vehicles can be reduced to the greatest extent, time is adjusted according to the green light, the optimal design vehicle speed of the next road section to which the target vehicle team is about to drive is calculated, and the vehicle driving behavior is adjusted under the dynamic optimization of the signal timing so as to ensure the traffic efficiency of the road.

The invention relates to a method for realizing tramcar anti-congestion control based on a road traffic state. The method comprises the following steps of: (1) judging the congestion condition of eachbottleneck road section when the plurality of bottleneck road sections are congested at the same time, and taking the bottleneck road section with the maximum congestion level as a control target; (2) judging whether the bottleneck road section is congested or not, and if so, continuing to execute the step (3), and otherwise, calculating and storing a fine adjustment signal timing scheme; and (3)calculating the adjustment scheme of the congestion condition of the bottleneck road section. By adopting the method, the number of vehicles converging into the congested road sections at upstream and downstream intersections is automatically adjusted, and the queuing length of vehicles at key intersections is effectively reduced; an optimal signal timing adjustment scheme is automatically generated by adopting a method based on the combination of intersection flow data and fixed modes; tramcar anti-congestion control is carried out on key areas; and on the premise of overall coordination, atramcar priority passage right is given, the punctuality of tramcars is guaranteed as much as possible, and traffic congestion during peak hours is effectively relieved.

The invention discloses a named data network transmission control method, device and apparatus based on queue scheduling. According to the method, static local variables are designed and determined through queue length information under a routing end queue management mechanism; a forwarding strategy is selected according to the static local variables to carry out forwarding decision; the network transmission environment is judged only through the queue length information; the routing end does not need to collect, calculate and distribute information excessively, resource expenditure under datacollection, routing resource calculation and routing forwarding is reduced on the premise that network flow transmission performance is guaranteed and even improved, the utilization rate of resourcesis increased, and timeliness and effectiveness of network flow transmission are improved. The queue length serves as positive feedback of a forwarding decision, the forwarding decision reacts on thequeuing queue, and closed-loop adjustment can be truly achieved.

An off-road green wave vehicle speed guide method based on vehicle and road cooperation comprises the following steps that (a) indicating devices are arranged above a lane, wherein the indicating devices can send out first signals and second signals; (b) the first signals and the second signals are made to cooperate with a signal period of a downstream intersection; (c) the first signals are made to represent that lower vehicles can directly go straight and get through the intersection according to a green light when reaching the intersection, and the second signals are made to represent that lower vehicles will encounter a straight-going red light and wait when reaching the intersection. According to the method, under the circumstances that the downstream intersection is not substantially regulated in a timing mode and traffic of other phases is not affected, straight-going vehicles can be guided to get through the intersection as many as possible according to the green light, the stop frequency and the queuing length of vehicles running to the downstream intersection from a tunnel are reduced, and traffic capacity is improved.

The invention discloses a dynamic distribution method of signal intersection entrance lanes in a pure network connection automatic driving environment, which is suitable for a signal intersection with more than 3 entrance lanes, and all vehicles running on a road are network connection automatic driving vehicles. According to different conditions such as signal timing, lane number and vehicle number in straight, left and right directions in the current period, the method adopts a corresponding algorithm to dynamically allocate the number of entrance lanes for straight movement, left turning and right turning of vehicles in the signal period. The dynamic allocation method provided by the invention is helpful for improving the traffic capacity of the intersection and reducing the total delay of vehicles, thereby providing method support for traffic organization optimization of the signal intersection entrance lane in a pure network connection automatic driving environment.