7417 results about "Traffic flow" patented technology

A system and method is disclosed for increasing the efficiency of a cellular communication network, reduce ongoing operating costs and increase revenue. According to one aspect, a method is disclosed for increasing the efficiency of a cellular communication network whereby network capacity in the radio access network (RAN) and baseband processing for wireless connections are dynamically adjusted to automatically provision sufficient bandwidth and baseband processing capacity in response to changes in the network. The method is further extended by implementing policy management which allows wireless carriers to develop and implement network based policies to automatically increase or decrease the amount of processing resources and network bandwidth required from any cell site, hub or mobile switching office. According to another aspect, network efficiency is enhanced by utilizing a novel cellular network infrastructure. RF signals from cell site antennas of various technology types are demodulated, digital bit information is extracted from the RF signals, processed, and groomed into Gigabit Ethernet/Resilient Packet Ring (GigE/RPR) or Ethernet over copper traffic flows using specific Quality of Service (QoS) priorities. The GigE/RPR traffic flows are routed to hub sites or mobile switching offices, at which point the packetized information is extracted and converted to RF signals that are equivalent to the signals that were received at the antenna. The RF signals are sent over coaxial cable to a network hub including a pool of Base Transceiver Stations (BTSs) (or Node Bs). The hub is coupled to one or more mobile switching offices via a second fiber optic ring.

Sound, robust methods identify the most suitable, parsimonious set of tests to use with respect to prioritized, sequential anomaly detection in a collected batch of sample data. While the focus is on detecting anomalies in network traffic flows and classifying network traffic flows into application types, the methods are also applicable to other anomaly detection and classification application settings, including detecting email spam, (e.g. credit card) fraud detection, detecting imposters, unusual event detection (for example, in images and video), host-based computer intrusion detection, detection of equipment or complex system failures, as well as of anomalous measurements in scientific experiments.

A lane-level vehicle routing and navigation apparatus includes a simulation module that performs microsimulation of individual vehicles in a traffic stream, and a lane-level optimizer that evaluates conditions along the candidate paths from an origin to a destination as determined by the simulation module, and determines recommended lane-level maneuvers along the candidate paths. A link-level optimizer may determines the candidate paths based on link travel times determined by the simulation module. The simulation may be based on real-time traffic condition data. Recommended candidate paths may be provided to delivery or service or emergency response vehicles, or used for evacuation planning, or to route vehicles such as garbage or postal trucks, or snowplows. Corresponding methods also may be used for traffic planning and management, including determining, based on microsimulation, at least one of (a) altered road geometry, (b) altered traffic signal settings, such as traffic signal timing, or (c) road pricing.

The method includes nodes transmitting quality-of-service (QoS) route requests to discover traffic routing based upon a QoS parameter, and the QoS route requests including a traffic flow identifier. Each node calculates a node QoS tag value to make traffic admission control decisions, and each node determines whether to admit traffic in response to QoS route requests based upon the calculated QoS tag value and the QoS parameter of QoS route requests. Also, each node replies to QoS route requests to indicate whether the node can support the QoS parameter of the route request and admit the traffic, and each node polices admitted traffic based upon the traffic flow identifier to ensure that admitted traffic does not exceed the QoS parameter of the QoS route request.

A method for communicating with a vehicle has a generator for producing a data stream that can indicate, street sign information, house number, lead vehicle information, traffic information, oncoming vehicle information, juxtaposed vehicle information, a voice channel, etc. vehicle information can indicate braking, low beam requests, direct or indirect traffic flow information, adjacency, partial adjacency, or presence of nearby vehicles, etc. This signal is generated by at least one of: the sign, house number, oncoming vehicle, lead vehicle, operator of the lead vehicle, operator of the oncoming vehicle, operator of the juxtaposed vehicle, a traffic control system. A device for generating such data streams is discussed, as well as, a device for receiving such data streams. Information pertinent to the people in the vehicles or operation of the vehicle can be modulated on the link.

Traffic measurement should make it possible to obtain the spatial flow of traffic through the domain, i.e., the paths or trajectories followed by packets between any ingress and egress point of the domain. A method of sampling packet trajectories in a packet switching network allows the direct inference of traffic flows through a measurement domain by observing the trajectories of a subset of all packets traversing the network. A method which assumes that the measurement domain does not change comprises the steps of selecting packets for sampling in accordance with a sampling function of the packet content and generating a practically unique label for each sampled packet. The method does not rely on routing state, its implementation cost is small, and the measurement reporting traffic is modest and can be controlled precisely. Using the same hash function will yield the same sample set of packets in the entire domain, and enables us to reconstruct packet trajectories. An alternate embodiment which assumes no constraints and that the measurement domain may change comprises the steps of applying a sampling function and altering an invariant bit position as a signaling flag in each packet selected for sampling.

Embodiments in accordance with the invention provide communication between vehicles and traffic control devices and/or other vehicles. The communication system provides for communication of system variables such as: signal setting (e.g., red/yellow/green light), signal direction, time to signal change, signal sequence (e.g., next traffic flow), red light runner alert, signal failure, driver urgency, vehicle presence, absolute vehicle location, toll collection information, vehicle speed, roadway condition (e.g., ice on bridge surface), traffic impairments (e.g., delay ahead). The communication system also provides for communication of system variables such as: speed, acceleration/deceleration, braking, lane change with direction, malfunction (e.g., stall). The system communicates utilizing wireless optical, acoustic and/or radio frequency signaling methods.

A network model for the planning and/or the provisioning of traffic flows in a communication network includes nodes interconnected with each other by links according to a given network topology. The network model uses a graph defined by arc objects storing information related to both the links and adjacent nodes thereof.

A cross stack rapid transition protocol is provided for permitting multiple network devices organized as a stack to rapidly transition their ports in response to network changes so as to minimize traffic flow disruptions while avoiding loops. Each switch in the stack has a stack port that connects the switch to another switch in the stack, and a plurality of ports for connecting the switch to other entities of the computer network. Each switch includes a Spanning Tree Protocol (STP) entity that transitions the ports of the switch among a plurality of states including a forwarding state and a blocking state. Each switch also tracks which other switches are members of the switch stack. The stack port of each switch is transitioned to the forwarding state, and a single switch having connectivity to a root is elected to be a Stack Root. One or more other switches may have Alternate Stack Root Ports, that provide alternate paths to the root. If the current Stack Root loses connectivity to the root, the switch whose Alternate Stack Root Port represents the next best path to the root issues one or more proposal messages to the other members of the switch stack. These other members respond with an Acknowledgement, and the former Stack Root transitions its port to the blocking state. Once the proposing switch receives an Acknowledgment from all other active members of the switch stack, it transitions its Alternate Stack Root Port to the forwarding state so that network messages can be forwarded to and from switch stack.

A transceiver in a vehicle-to-vehicle (V2V) communication and safety system that regularly broadcasts safety messages, comprising location, heading and speed, of a subject vehicle, that are free of MAC and IP addresses. The V2V system uses the location of the subject vehicle for vehicle identification, in place of a pre-assigned vehicle ID. Some embodiments broadcast safety message in self-assigned time slots in a synchronized TDMA broadcast architecture, with unusually short inter-message gaps and unusually short messages. The TDMA frame is partitioned into three prioritized time interval classes with differing priorities and dynamically changing sizes based on demand of higher-priority messages. Time slot selection uses weighted algorithms. Selected time slots are held until either a message collision or a timeout occurs. A transceiver equipped vehicle may proxy a different subject vehicle. Embodiments include optimized traffic flow and signal timing.

Multi-media networks will require that a data flow be given certain quality-of-service (QOS) for a network connection but pre-negotiation of this sort is foreign to the current data networking model. The real time traffic flow in the data network requires distinct limits on the tolerance to delay, and the variations in that delay. Interactive voice and video demand that the total delay does not exceed the threshold beyond which human interaction is unacceptably impaired. The present invention allows the network to discover the nature of the service for each traffic flow, classifies it dynamically, and exercises traffic conditioning by means of such techniques as admission control and scheduling when delivering the traffic downstream to support the service appropriately.

A system and method for automatically adapting digital message traffic flow evaluates message delivery disposition, latency and performance metrics such that the system operates more optimally in terms of both overall throughput as well as with respect to system sending reputation. Reputation is in the context of maintaining message flow within limits that are acceptable for a given destination, such that the sender behavior avoids being flagged as abusive or otherwise undesirable.

The invention belongs to the field of intelligent transportation, and discloses a traffic prediction method based on an attention temporal graph convolutional network. The method includes the following steps that: firstly, an urban road network is modeled as a graph structure, nodes of the graph represent road sections, edges are connection relationships between the road sections, and the time series of each road section is described as attribute characteristics of the nodes; secondly, the temporal and spatial characteristics of the traffic flow are captured by using an attention temporal graph convolutional network model, the temporal variation trend of the traffic flow on urban roads is learned by using gated cycle units to capture the time dependence, and the global temporal variation trend of the traffic flow is learned by using an attention mechanism; and then, the traffic flow state at different times on each road section is obtained by using a fully connected layer; and finally,different evaluation indexes are used to estimate the difference between the real value and the predicted value of the traffic flow on the urban roads and further estimate the prediction ability of the model. Experiments prove that the method provided by the invention can effectively realize tasks of predicting the traffic flow on the urban roads.

An estimate of a portion of network traffic that is nonconforming to a communication transmission control protocol is used to signal that a distributed denial of service attack may be occurring. Traffic flows are aggregated and packets are intentionally dropped from the flow aggregate in accordance with an assigned perturbation signature. The flow aggregates are observed to determine if the rate of arrival of packets that have a one-to-one transmission correspondence with the dropped packets are similarly responsive to the perturbation signature. By assigning orthogonal perturbation signatures to different routers, multiple routers may perform the test on the aggregate and the results of the test will be correctly ascertained at each router. Nonconforming aggregates may be redefined to finer granularity to determine the node on the network that is under attack, which may then take mitigating action.

The invention belongs to an unmanned vehicle test and verification platform and a test method thereof in the field of unmanned vehicles. The platform comprises a driving simulation system, an experimental field, a network system, an upper level management center and an unmanned vehicle. The driving simulation system constructs a driving environment of a virtual vehicle according to the information collected in a natural scene; the traffic scene of the actual site of the experimental field coincides with the scene modeled by the driving simulation system; and the upper level management center is used for establishing a simulator driving environment, controlling the driving simulation system and processing data; the unmanned vehicle is a test vehicle and is automatically driven in the experimental field; and the driving information of the unmanned vehicle is transmitted to the upper level management center through a network system and then transmitted to the driving simulator of the driving simulation system. According to the invention, function verification and performance evaluation of the unmanned vehicle can be studied, and meanwhile, influences by the unmanned vehicle on an actual traffic flow can be studied and evaluated through the platform.

A method is provided for ensuring that specific traffic flows are adequately prioritized in a public packet communication network even when the network is heavily congested. Per-flow QoS capability is added to VPN tunnels. Connection requests are routed through a specific port in an access provider's network to designated VPN gateway. Deep packet inspection is performed on traffic through the port in an attempt to determine whether the connection request was accepted. If the connection request was accepted, the traffic flows associated with that session may be given a specific priority of QoS level when transiting a packet access network.

A system and method to map a Quality of Service (QoS) of a traffic flow from a wireless network to a wired network is described herein. The method comprises the steps of receiving a packet of the traffic flow over the wireless network and determining a first Quality of Service associated with the traffic flow over the wireless network based on a first set of parameters associated with the packet. The method further comprises the step of determining a second parameter that identifies a second Quality of Service over the wired network, wherein the second Quality of Service is substantially equivalent to the first Quality of Service. The method also comprises inserting the second parameter in a field of the packet based on the determined second Quality of Service and transmitting the packet over the wired network.