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 a safety driving control method through yellow light signal on an intersection based on a wireless technology. The method comprises the following steps: step 1, detecting the current velocity v of a car and the distance S (v) to a parking line; step 2, transmitting the collected data to a database of a center control computer; step 3, calculating the required distance S, within which the car completely stops at the current velocity v; step 4, generating a corresponding command according to the comparison result of S and S (v); step 5, adjusting the time ty<0> of a yellow light; step 6, transmitting the corresponding command to a vehicle-mounted terminal or a mobile terminal of the corresponding car; step 7, broadcasting driving tips by the vehicle-mounted terminal or the mobile terminal after receiving the command. According to the safety driving control method through the yellow light signal on the intersection based on the wireless technology, an intelligent active reminding technology is adopted to provide timely, accurate and enough guidance information for drivers, safe and efficient transit capacity is realized when the yellow light is turned on, fast, comfortable and safe road efficiency is completely played, and the safety driving control method is suitably popularized and applied to Internet of Vehicles in future.

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 urban intersection integrated waiting zone optimizing facility and a control method thereof; the urban intersection integrated waiting zone optimizing facility comprises an intersection at the centers of roads, and a plurality of roads; each road has an entrance lane and an exit lane, the entrance lane includes a right-turn lane and a non-right-turn lane, the right-turn lane is arranged at the outermost side of the exit lane, and the non-right-turn lane includes a plurality of left-turn lanes and straight lanes arranged from inside to outside; an intersection integrated waiting zone is arranged in front of each non-right-turn lane, and the lengths of the adjacent lanes in each intersection integrated waiting zone decrease by 3-4 m sequentially from inside to outside; the front end of each non-right-turn layer is provided with a first parking line, and the front end of the corresponding intersection integrated waiting zone is provided with a second parking line; a pre-signal lamp is arranged at each first parking line, and a main signal lamp is arranged at each second parking line. The urban intersection integrated waiting zone optimizing facility allows vehicles on outer lanes to pass through the intersection within green signal time, collision with passing vehicles in next phase is avoided, and drivers may be guided to pass through the intersection quickly, accurately and safely.

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 discloses a semiconductor production line scheduling method based on a scheduling environment and a task. The method comprises the steps of performing scheduling classification on semiconductor production lines based on the scheduling environment and the task; and performing real-time scheduling on the semiconductor production line after scheduling classification. The invention has the beneficial effects that the positive influence is generated on the working condition of the production line, the queuing length of each kind of equipment and the waiting time of each card of workpieces are shortened, and then the operation efficiency of the whole production line is improved globally.

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.

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 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.

The present invention relates to a request scheduling method and device for a cloud data center. The method includes performing the following steps in each time stamp: S1. Obtain the queue length of servers in each data center at the beginning of the time stamp; S2 . Calculate the first objective function value of each data center, and distribute all service requests in the timestamp to the data center with the largest first objective function value; S3. Initialize the second objective function value to negative infinity; S4. For each operating frequency in the operating frequency set of each data center, determine the optimal operating frequency and optimal operating quantity of the data center; S5, for each data center, the optimal operating quantity determined in S4 The server is turned on, and the running frequency of each turned on server is adjusted to the optimal running frequency determined in S4. The present invention can reduce the queue length under the condition of increasing the system benefit, and realize the compromise between the system benefit and the queue length.

The invention discloses a safety driving control method through yellow light signal on an intersection based on a wireless technology. The method comprises the following steps: step 1, detecting the current velocity v of a car and the distance S (v) to a parking line; step 2, transmitting the collected data to a database of a center control computer; step 3, calculating the required distance S, within which the car completely stops at the current velocity v; step 4, generating a corresponding command according to the comparison result of S and S (v); step 5, adjusting the time ty<0> of a yellow light; step 6, transmitting the corresponding command to a vehicle-mounted terminal or a mobile terminal of the corresponding car; step 7, broadcasting driving tips by the vehicle-mounted terminal or the mobile terminal after receiving the command. According to the safety driving control method through the yellow light signal on the intersection based on the wireless technology, an intelligent active reminding technology is adopted to provide timely, accurate and enough guidance information for drivers, safe and efficient transit capacity is realized when the yellow light is turned on, fast, comfortable and safe road efficiency is completely played, and the safety driving control method is suitably popularized and applied to Internet of Vehicles in future.

A traffic signal control technology is adopted, and four-way green waves and surface control with a four-way green wave effect are implemented at a planar intersection of an urban road network. The design method is mainly a three-dimensional model method, a planar time-distance diagram method is a simplification of the method. The method further comprises other mathematical models, computer programs, animation trial and error backstepping and other methods which follow the thought of the three-dimensional model method and do not need to display a three-dimensional model and a planar time-distance diagram. All the methods conform to the principle that: a longitudinal road time vertical face and a transverse road time vertical face of each intersection intersect on a time axis and uplink anddownlink signal stages of the bidirectional green waves on the two vertical faces are made to coincide or intersect as much as possible on the time axis; if the uplink and downlink signal stages of the bidirectional green waves on the two vertical faces are away from each other, other phases can be inserted in the leaving time, and the release stage of the bidirectional green waves on the longitudinal vertical face and the release stage of the bidirectional green waves on the transverse vertical face are thoroughly separated. Therefore, a comprehensive or discrete four-way green wave model and method with the functions of design, verification, simulation display, data reporting, online operation and the like are established.

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.

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 present invention provides a dynamic lane switching control method, device, electronic equipment and storage medium, the method comprising: obtaining the initial queuing length and the initial queuing accumulation speed of the dynamic lane in the current entrance lane; the dynamic lane includes a target lane and a variable guiding lane , the first direction is the current traffic direction of the variable steerable lane, the second direction is the traffic direction after the variable steerable lane is switched; the target lane traffic direction is the first direction or the second direction; obtain the entrance after the variable steerable lane is pre-switched The switching queue length and the switching queue accumulation speed of the dynamic lane in the road; determine whether to switch the traffic direction of the variable guide lane according to the initial queue length, the initial queue accumulation speed, the switching queue length and the switching queue accumulation speed; when switching, the control can The traffic direction of the steering lane is changed from the first direction to the second direction. The invention reduces the queuing length of the entrance road, and avoids problems such as queuing overflow and left-turn blocking as much as possible.

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.

The invention discloses a station for buses of multiple paths to stop and belongs to the field of urban road traffic. The station for the buses of multiple paths to stop comprises a vehicle and non-motor vehicle isolation belt arranged on a road. At least two waiting islands are arranged on the vehicle and non-motor vehicle isolation belt. A parking zone for the buses is arranged between two adjacent waiting islands, wherein passengers get on or off the buses in the park zone. Station entrance front ends and station exit rear ends of the parking zone are respectively connected with a bus special lane. The bus special lanes are arranged to be adjacent to the vehicle and non-motor vehicle isolation belt. Thus, multiple buses can park at the bus station at the same time. Buses at different bus station entrances do not interfere with each other. Obstruction on passing of social vehicles by parking of the buses is greatly relived and meanwhile, the number of lanes for the social vehicles at entrance lanes of an intersection is increased.

The present invention proposes a signal timing and vehicle speed dynamic coordination control optimization method based on vehicle-road coordination. First, based on the original green wave coordination scheme of the coordinated arterial road, and according to the traffic flow information parameters and the initial detection of the incoming flow of the target fleet on the road section, Calculating the increment of green light time is beneficial to improve the traffic capacity of the coordinated intersection and reduce the queue length of the intersection when the target vehicle traffic increases; according to the actual driving speed of the target vehicle team, combined with the optimal design speed of the original green wave coordination scheme of the coordinated arterial road , to calculate the green light adjustment time of the coordinated intersection, which is beneficial to obtain the maximum green wave bandwidth and minimize the number of parking of straight vehicles. Under the dynamic optimization of timing, the driving behavior of vehicles is adjusted to ensure the efficiency of road traffic.

The invention discloses a collision risk-based method for assigning the right of way between an automatic driving vehicle and a non-motor vehicle. The method first judges whether there is a conflict point between the self-driving vehicle and the non-motor vehicle, and if there is a conflict point, calculates the collision risk; The self-driving vehicles and non-motorized vehicles whose collision risk is higher than the threshold calculate the street crossing urgency coefficient, and give priority to the right of way for the vehicle with the higher street crossing urgency coefficient. The invention takes safety as the primary principle, and scientifically allocates the right of way of vehicles through the information interaction between the automatic driving vehicle and the non-motor vehicle and the vehicle-road coordination technology at the intersection of the non-signal-controlled road intersection where the self-driving vehicle and the non-motor vehicle are mixed. Change the situation that self-driving vehicles always give way to non-motor vehicles, so as to reduce the waiting time of vehicles, increase the traffic speed at intersections, and make self-driving vehicles and non-motor vehicles coexist harmoniously.

The invention provides a plane-sensing intersection traffic signal control method and system giving consideration to non-motor vehicles, and the method and system can carry out the tracking and monitoring of non-motor vehicles in real time, adjust the duration of green lights according to the length of a queue of the non-motor vehicles during red lights, and guarantee that the length of the queue of the non-motor vehicles is less than a set threshold value. Moreover, after the length of the queue of the non-motor vehicles is greater than the set threshold value, a control scheme of reducing the number of times that a motor vehicle meets with the red lights, so as to reduce the number of times that the vehicle waits during red lights.