176 results about "Traffic optimization" patented technology

A method, system, process, and computer program that receives, collects, displays, and optimizes user-defined data. The collection, analysis, and optimization process is applicable to a wide variety of industries for both real-time and historical data. Some sample industries that will benefit from this invention include: securities trading, vehicular traffic optimization, medical image scanning, wireless communications, and aircraft routing.

Traffic signal control systems and methods in accordance with various embodiments of the invention are disclosed. One embodiment includes: at least one image sensor mounted with a bird's eye view of an intersection; memory containing a traffic optimization application and classifier parameters for a plurality of classifiers, where each classifier is configured to detect a different class of object; a processing system. In addition, the traffic optimization application directs the processing system to: capture image data using the at least one image sensor; search for pedestrians and vehicles visible within the captured image data by performing a plurality of classification processes based upon the classifier parameters for each of the plurality of classifiers; determine modifications to the traffic signal phasing based upon detection of at least one of a pedestrian or a vehicle; and send traffic signal phasing instructions to a traffic controller directing modification to the traffic signal phasing.

A method includes provisioning joint bandwidth in a software defined passive optical network PON based mobile backhaul MBH and cache management on base stations for video delivery across the network, the provisioning in each time unit includes grouping bandwidth utilization in the network into a first category used to support video requests which cannot directly be served by caches on base stations, the first category video requests being high priority, and if bandwidth remains after the high priority requests remaining bandwidth being used to deliver some videos that are low priority to caches.

The invention discloses an optimal control method for intersection group traffic flow, which resolves the defect that the smallest unit of current urban traffic control is a single intersection, which cannot satisfy the needs of actual traffic control, can realize the optimization of local traffic flow, and provides helps for micro control of traffic flow. The steps of the method are:(1) real time acquiring actual traffic flow of ''intersection group'' on roads through a ground induction coil which has been paved in a city; (2) constructing an optimal control model with a smart approach and inferring and optimizing the parameters of a controller according to real-time traffic information;(3) the controller carrying out optimal control for traffic flow according to the control model.

A network optimization engine can be used to optimize the transmission of network traffic by employing means to prioritize highly compressed network traffic over other network traffic. The network optimization engine accomplishes network traffic optimization by calculating a compression ratio for received data packets and determining whether the calculated compression ratios exceed a compression ratio threshold. The predetermined compression ratio threshold can be a hard coded value or an empirically determined compression ratio threshold that is calculated using a sample of the received network packets. Network packets having a compression ratio that exceeds the compression ratio threshold are classified as highly compressed network traffic and transmitted according to a transmission scheme that is different than a transmission scheme used to transmit non-highly compressed network traffic.

The invention discloses a method and apparatus for analyzing road congestion state and detecting illegal parking. The device is composed of at least one detection matrix; the detection matrix is composed of a power source module, a detection matrix operation ARM processor, a matrix data storage chip, a wireless data transmission module, sampling ARM processors and infrared ranging sensors; the infrared ranging sensors are spliced together in a row*column manner, so that the detection matrix can be formed; according to the detection matrix, the distance from the detection matrix to the surface of a road is measured through the infrared ranging sensors, so that whether illegal vehicles or vehicle behaviors exist on the road can be judged; the infrared ranging sensors in each row are at least connected with one sampling ARM processor; the sampling ARM processors communicate with the detection matrix operation ARM processor; and therefore, summary operation of sampling data and recognition and judgment of vehicle behaviors can be completed. With the method and apparatus of the invention adopted, the behaviors of the vehicles on the road can be detected real time, and decision-making basis can be provided for traffic management departments in road unblocking and traffic optimization.

The invention discloses a distributed gateway, a message processing method and a message processing device based on the distributed gateway, which aim at improving the flexibility and expandability of network deployment, realizing load sharing and traffic optimization, and improving efficiency. The distributed gateway comprises a plurality of network virtualization endpoints (NVE). Each NVE has the same virtual internet protocol (VIP) address and the same virtual media access control (VMAC) address. Each NVE establishes interconnecting tunnels with other NVEs through the IP address of an outer layer tunnel. Each NVE is configured with a routing protocol for releasing a network segment route of a corresponding subnet.

The invention discloses a road network traffic optimization control system and method, belonging to the field of traffic. The method comprises: traffic data of a road network, especially intersection turning flow data and section divisional flow data, is extracted based on fusion analysis on vehicle-mounted GPS / Beidou positioning data and fixed detector data; a method for detecting a road network traffic state with travel delay index two-dimensional coordinates as characterization parameters is provided, and the road network state is represented by a region range; based on user travel path analysis data, a dynamic dividing method for traffic coordination control cells is provided; by adopting road upstream and downstream traffic capacity analysis technology and with a control target of regional road network traffic optimization, a linked optimization method for a control scheme of signals at crossroads near a regional key intersection is provided; and an intersection signal control adaptive optimization method based on a traffic delay index is provided. The method improves the active prevention and control capability of the control system for road network congestion.

The invention discloses a comprehensive energy-saving control method and method for integrating optimized manipulation and traffic scheduling for urban rail transit. The method comprises the following steps of collecting train scheduling information, train operation parameters and train road condition information according to a train operation line; partitioning and dividing the train operation line into a plurality of segments, and obtaining an accelerating stage and a regenerated brake stage according to the train road condition information of each segment; establishing N traffic scheduling control sequences according to accelerating points and regenerated brake points in the segments, train departure intervals and train operation number, and constructing N traffic scheduling control models according to the N traffic scheduling control sequences; calculating the total energy consumption of each traffic scheduling control model so as to obtain the traffic scheduling control model corresponding to the lowest total energy consumption; and obtaining a traffic scheduling control timetable according to the traffic scheduling control model corresponding to the lowest total energy consumption. The timetable has the advantages of being capable of coordinating the balanced relation among the train number, the operation parameters and regenerated brake in a self-adapting manner, high in calculating efficiency, precise in computation and the like.

The invention relates to the technical field of urban traffic optimization, in particular to an urban rail transit energy-saving time table and an operation curve optimization method, and the method comprises the steps: S1, obtaining the basic data of an urban rail train, an urban rail line and an urban rail operation time table; S2, aiming at the operation process of a single train between singlestations, obtaining energy-saving operation speed curves of the single train between the stations at different operation times; S3, aiming at the operation process of the single train among a plurality of stations, obtaining an energy-saving interval operation time distribution scheme and a corresponding speed curve; S4, calculating the traction acceleration time length and the braking deceleration time length of each inter-station speed curve obtained in the step S3; S5, aiming at the operation process of multiple trains among multiple stations, obtaining an energy-saving departure intervaland stop time; S6, outputting an optimization result. The energy-saving operation speed curve is short in calculation time and small in error; traction energy consumption among multiple stations is reduced, and the regenerative braking feedback energy utilization rate is increased.

The invention provides a traffic control optimization method and device. The method comprises the following steps: obtaining traffic data of a road intersection, wherein the traffic data comprises data for expressing geometric features and dynamic features of the intersection road, the dynamic features comprising a traffic signal control scheme and traffic conditions under the traffic signal control scheme; obtaining road traffic saturation degree of the intersection according to the traffic data; then, comparing the road traffic saturation degree and a preset judgment threshold range, determining a final traffic optimization objective according to the comparison result, and obtaining an intersection channelization design and traffic signal control integrated optimization plan according to the traffic data and the final traffic optimization objective. The traffic control optimization method and system can carry out integrated optimization on intersection channelization design and traffic signal control simultaneously, thereby improving matching degree between the two and alleviating traffic congestion degrees.

Disclosed are a distributed application programming interface (API) proxy system and an apparatus and method for managing traffic in the system. The apparatus for managing API traffic includes a traffic information collection unit configured to collect traffic information from a plurality of API proxies distributed to a plurality of networked apparatuses such that physical resources are abstracted to provide access to the abstracted physical resources and a traffic optimization unit configured to generate control information for decreasing communication traffic of at least one of the plurality of API proxies based on the collected traffic information and deliver the generated control information to the plurality of API proxies.

A method for transmitting signals, consisting of receiving a plurality of signals generated in an isolated region, the signals encoding respective individual payloads and payload envelopes. At least two of the signals operate under different protocols. The method includes deriving information from the signals on respective connections of the signals, and aggregating the payloads into one or more aggregated payloads. The method further includes transmitting the one or more aggregated payloads and the information via a satellite link to a receiver outside the region, the one or more aggregated payloads and the information amounting to less data than an aggregated amount of data in the individual payloads and payload envelopes. The method also includes reconstituting the plurality of signals at the receiver using the one or more aggregated payloads and the information.

A method of optimizing network traffic includes, in part, measuring amounts of traffic exchange between each of a multitude of hosts disposed in the network, identifying a network domain to which each of the multitude of hosts is connected, calculating a net increase or decrease in inter-domain traffic associated with moving each of the multitude of hosts among the network domains in order to generate a list, and ranking the list of moves by net saving in the inter-domain traffic. The highest ranked move may be automatically applied so as to change the network domain to which the host associated with the highest ranked move is connected. The hosts may be virtual machines. Optionally, a change in the inter-domain traffic as a result of moving a first host in accordance with the list occurs only if one or more conditions are met.

The invention discloses a Storm task deployment and configuration platform with cluster adaptability, and belongs to the field of real-time streaming data computing and processing. Through the platform, a Storm cluster can sense internal communication traffic among nodes and remaining resources, and perform running process number configuration self-adjustment according to a topology task demand published by a user and the cluster remaining resources, so that the limitation of the need of artificially specifying a process number in a conventional Storm scheduling method is broken through. A friendly centralized communication traffic monitoring interface is provided for the user by the platform, and is convenient for the user to call in a task program, so that load and resource awareness is realized. Moreover, a one-phase commitment scheduling method which is different from a conventional Storm two-phase commitment scheduling method is implemented on the platform in an embedding way, and communication traffic optimization among different processes at the same node is realized. Through adoption of the Storm task deployment and configuration platform, optimal scheduling can be realized by setting of basic optimization threshold parameters, and great convenience is brought to a cluster user and a manager.

The invention provides a traffic signal global control method and system based on the radio frequency identification technology. The method comprises the steps that traffic information in all directions of a traffic light road junction is collected, wherein the traffic information is used for reflecting the traffic jam situation in the directions; traffic coordination information sent by an adjacent traffic light road junction is received, and used for indicating the current situation of control of the adjacent traffic light road junction over traffic jams; working conditions of traffic lights in all the directions of the traffic light road junction are controlled according to the collected traffic information and the received traffic coordination information. The traffic signal global control method and system based on the radio frequency identification technology can achieve comprehensive traffic optimal control, and traffic jams can be further relieved compared with a scheme which carries out traffic light control only with consideration of the traffic jam on the current road junction.

An enhanced push to talk (PTT) method, a network, and a PTT server provide floor control and media traffic optimization for push to talk over cellular (PoC). Specifically, multiple Session Initiation Protocol (SIP) sessions are contemplated between controlling and participating servers while only requiring a single Real Time Protocol (RTP) session for media and a single Real Time Control Protocol (RTCP) session for floor control. In the single RTP and RTCP session, the synchronization source identifier (SSRC) can be used to differentiate between users equipment (UEs) at the controlling and participating servers.

The present invention provides a system and method for providing global traffic optimization for a mix of applications running at multiple locations connected by a WAN Various means are provided via WAN accelerator, edge shapers, and WAN bandwidth, route, QoS, and packet control to maximize application performance while minimizing cost, in accordance with customer policy.

The invention discloses an online evaluation method and system of the control effect of a traffic signal controller. A detector arranged at a signal intersection carries out real-time traffic flow data collection; a traffic signal controller collects signal light data in real time and uploads the collected data to a road detector database and a traffic signal controller database at a server side;and real-time extraction and processing are carried out on the collected data at the server side, basic traffic parameters are calculated, software calculates an evaluation index of a traffic signal controller control effect based on the parameters and stores the result into a control effect evaluation database so as to complete online evaluation. Therefore, traffic signal optimization can be carried out based on the evaluation data and the optimization information is fed back to the traffic signal controller to realize dynamic traffic signal control.

The invention discloses a single-intersection traffic signal optimization control method based on public transport priority, and the method comprises the steps: S1, building a single-intersection traffic signal timing optimization model based on the public transport priority, and calculating a target function; S2, initializing the position and speed of each particle in a particle swarm through employing a chaotic strategy, calculating the adaptability value of the particles according to the target function, and setting the overall initial optimal solution of the current particle swarm and the initial optimal solution of the particle individuals; S3, judging whether the position and speed of each particle in a solution space of the target function are convergent or not according to the concentration degree of the particle swarm: outputting the optimal solution in the solution space if the position and speed of each particle in the solution space of the target function are convergent; S4, updating the position and speed of each particle according to an adaptive inertia weight if the position and speed of each particle in the solution space of the target function are not convergent, carrying out the iterative updating of the overall optimal solution of the current particle swarm and the initial optimal solution of the particle individuals, returning to and carrying out step S3 till the position and speed of each particle in the solution space of the target function are convergent, and outputting the optimal solution; S5, carrying out the single-intersection traffic optimization control based on public transport priority according to the priority. The method enables the delay of a bus to be minimized.

The invention discloses a traffic management method based on coordination of vehicles and roads. The traffic management method based on the coordination of the vehicles and the roads comprises the steps that the intercommunicating Internet of Things is established based on all communication modules arranged in roadside fixed detection equipment; real-time acquired traffic stream information, imageinformation and vehicle information of vehicles driven on the roads are subjected to edge computing; vehicle behavior high-dimensional information obtained by the edge computing are transmitted through the Internet of Things; real-time guidance information of traffic control equipment corresponding to the roadside fixed detection equipment is acquired, the vehicle behavior high-dimensional information combines with a preset traffic optimization model to perform traffic optimization on the real-time guidance information, and the real-time guidance information is obtained; and the real-time guidance information is transmitted to the traffic control equipment through the Internet of Things, and the traffic control equipment is subjected to traffic optimization management. According to the traffic management method based on the coordination of the vehicles and the roads, real-time coordinated management of the traffic control equipment is realized according to the current traffic state, so that the rationality of resource allocation is improved; and the purpose of coordinated management of the vehicles and the roads is achieved, and the accuracy of the traffic optimization managementcan be improved.

A message traffic optimization system for reducing the size and quantity of messages is provided. The message traffic optimization system comprises a message traffic analysis module for analyzing message headers belonging to a plurality of messages, and a message traffic grouping module for grouping the messages into a bundle.

A system and method for the implementation of fine-grained quality of service in a mobile telecommunications environment uses an Auto-IP Policy Decision Point (PDP) to determine what traffic optimizations actions should be taken in reaction to various network conditions. The Auto-IP PDP uses as inputs information from a Gb interface probe to determine the user identification of an IP data flow, information from the radio access network (RAN) network management system (NMS) regarding network congestion. The cell traffic information is passed onto a traffic analysis and processing engine, the Auto-IP PDP which maps the real-time traffic information into an n-dimensional traffic model. An automated policy decision guiding algorithm is executed on the n-dimensional traffic model and selects policy based on the traffic and cell congestion conditions, without human intervention. Additionally, a consistency check is performed to ensure that new policies are consistent with existing policies. The policy decision outcome is forwarded to the Auto-IP Traffic Optimizer that acts on the network at a point in the network (Gi) that is different from where traffic problem occurs in the RAN. The Auto-IP Traffic Optimizer implements the decisions of the Auto IP-PDP by performing traffic shaping, TCP window clamping or other traffic optimization procedures on a cell-by-cell basis.

The invention discloses a method and a system for realizing traffic optimization in a peer-to-peer network. The method comprises the following steps of: performing linear weighing on bottom characteristic parameters affecting communication overhead to obtain a total overhead value of links among different nodes; and determining a network priority sequence containing node information according to the obtained total overhead value, wherein the node information indicates nodes of a client for communication interaction. Compared with the prior art, the method and the system for realizing traffic optimization in the peer-to-peer network do not need to restrain P2P traffic, have no problems or defects of complex deployment equipment and the like, localize the P2P traffic to reduce cross-domain traffic, can process different P2Ps, coordinate diversity and particularity of P2P services, and optimize user experience of the P2P.

The invention discloses a city traffic optimization service method and system based on swarm intelligence; the method comprises the following steps: simulating local traffic situations according to swarm intelligence, and selecting a local scheduling strategy allowing each vehicle driving time and the local traffic situations to reach balance according to the simulation result and a local trafficoptimization target; using swarm intelligence to simulate the global traffic situation, and selecting a global scheduling strategy allowing the local traffic situation and the global traffic situationto reach balance according to the simulation result and a global traffic optimization target; recommending optical routes for each participating vehicle according to the swarm intelligence calculation result, thus realizing city traffic optimization services; finally, using the method to realize the city traffic optimization service system based on swarm intelligence. The system comprises a vehicle mounted platform, a situation cognition system and a swarm intelligence decision and control system, and aims to improve the city traffic optimization service decision enforceability and validity.

The invention provides an MD (multicast domain) based multicast VPN (virtual private network) traffic optimization method and equipment. The technical scheme includes that the control equipment acquires multicast tunnel resource information configured by a source PE (provider edge) device for a VPN and private network multicast streams needing to be received by each PED device, when a multicast distribution tree switching request sent by the source PE device aiming for the private network multicast streams is received, data multicast group addresses are allocated to the private network multicast streams according to the acquired information, and the source PE device switches the private network multicast streams to Data-MDTs (multicast distribution trees) corresponding to the private network multicast streams. By the method and equipment, multicast tunnel resources on the PE devices can be saved, consumption of public network multicast routing table items and invalid flooding of public network multicast traffic are reduced.

The invention discloses an automatic analysis method for traffic performance of a PTN (Packet Transport Network) ring network. Point-line-surface comprehensive analysis is carried out on device port traffic, service tunnel traffic and ring network traffic. The method aims at PTN devices of different manufacturers such as Huawei / ZTE / FiberHome, and the point-line-surface comprehensive analysis is carried out on the device port traffic, service tunnel traffic and ring network traffic. Centralized and three-dimensional control is carried out on the traffic of the PTN devices of different manufacturers. The important support significance is provided for traffic operation and traffic plan optimization.

The invention discloses a traffic organization and signal control method facing a left-and-right type staggered intersection. The basic principle of the invention is to, by targeting the left-to-right type staggered intersection, optimally use the intersection staggering space and the optimally design the signal timing of the intersection on the basis of the traditional intersection design. The traffic organization and signal control method fully uses the time space resource of the intersection, reduces the purging time in a signal period, and improves the traffic capacity of the left-to-right type staggered intersection. In order to achieve that, the traffic organization and signal control method disclosed by the invention comprises steps of performing data collection on the related parameters of the intersection, performing intersection traffic organization design, performing the intersection signal optimization timing, and determining whether the intersection satisfies the preset condition and chooses the corresponding scheme.

Improvement method for traffic organization of three-lane road and crossing belongs to city road design and traffic management field, applying the road sectional distribution type of footway, automobile way and bicycle way, regulating the order of the automobile way and bicycle way, optimizing the crossing traffic organization with the method that laeotropic automobile turns around the block and the bicycles are lead farther, improving the capacity of the city grade crossing and the road average speed in the condition of two-phase crossing signal control in the crossing. The invention can be used for city road network modification and road network construction.

The invention discloses an urban traffic signal optimization method and an urban traffic signal optimization system. The method comprises the following steps of judging whether a current urban fragmented region is reasonable or not according to the signal period duration, the spatial position and the traffic flow of an intersection on a trunk; judging whether an urban fragmented region control strategy is reasonable or not when the current urban fragmented region is judged to be reasonable; if the urban fragmented region control strategy is judged to be reasonable, determining whether an optimized space exists in the coordination of road sections or not; if no optimized space exists in the coordination of road sections, judging whether the intersection needs to be optimized or not; if theintersection needs to be optimized, carrying out the signal control, the traffic organization and the traffic order optimization on the intersection. In this way, the traffic signal optimization is carried out on the whole city level. The traffic jam can be relieved. Meanwhile, the signal optimization can be performed specifically. The optimization efficiency of the optimal technical personnel isimproved, and the ordered development of signal optimization work is guaranteed.